Anthony J. Pennings, PhD

WRITINGS ON DIGITAL ECONOMICS, ENERGY STRATEGIES, AND GLOBAL COMMUNICATIONS

Digital Spreadsheets – Techno-Epistemological Power over People and Resources

Posted on | September 27, 2018 | No Comments

In previous posts, I wrote that digital spreadsheets had emerged as a constitutive technology that can shape perceptions, organize resources, and empower control over the lived experiences of people and the dynamics of social organizations. In this post, I look at how communicative, command, and cultural dynamics provide an important context for the use of spreadsheets and the production of power within various organizations. Spreadsheets are used in many ways in an organization and by many people. Who can use the spreadsheet? Who can enter information? Who can make decisions based on that information?

Understanding spreadsheets helps us see how they work in organizations and how they are implicated in the reproduction of their information practices and institutional memories over time. I previously described the different media components of the spreadsheet that come together to create the gridmatic framework that registers, classifies, and identifies new conceptual understandings of organizational dynamics. These institutions or collectivities can be a neighborhood coffee shop or a global corporation; they can be a local Girl Scout Chapter or an international NGO.

Spreadsheet use is a techno-epistemological practice that alters the structural reality of the organization and operates in the enabling and constraining aspects of its operations. They combine media and computational capabilities in ways that conceptualize organizational realities by inventorying and tracking resources, providing comprehensive schematic views, and facilitating managerial decision-making by modeling situations and providing “what-if” scenarios. Techno-epistemological practice is the production of knowledge or justified belief. What are the necessary and sufficient conditions for a person to know something? What gives spreadsheet knowledge its validity?

Spreadsheets are noted for their ease of use and a familiar tabular visual format for organizing and presenting information. Its central technology is the list, which has a long history of being integral to the management of palaces, temples, and armies.[1] Its table structure adds additional dimensions by combining columns and rows of lists that intersect at individual cells. The tabular grid of cells enhances the viewing and structuring of data values by using labels and annotations. Additionally, the computational capabilities of the spreadsheets connecting groups of cells and the low levels of competency needed for formulaic programming enhance their organizational effectiveness.[2]

For my analysis of spreadsheet power, I have often drawn on the work of Anthony Giddens, particularly his theory of “time-space power” that has information management and communication at its core as they “stretch” social institutions over durational time and geographic space. He identified three structural properties that work together to provide the cohesion institutions need to maintain themselves and grow over time. These are signification (meaning), domination (power) and legitimation (sanction).[3] An organizational agent utilizes these structures, called modalities, for social and operational interactions – communication and interpretive scheming; facilitation and provisioning; as well as; norms, shared values and proscriptions. Giddens sometimes uses the term “discipline” that resonates better with what I’m trying to argue than “domination,” so I will often use the latter term.

Gidden’s “duality of structure” describes some of the limits and possibilities of human action in a social context. The structure defines both rules and resources for the human operative as well as constraints and enabling factors. It acknowledges the knowledge-ability of the agent as well as the limits of rationality.

These structures simultaneously enable systems of comprehension and action for organizational agents. Together these structures often provide overlapping systems of cognition that form the communicative, command, and cultural dynamics of modern organizations. When spreadsheets are integrated into the organizations, they become implicated in the complex workings of these structural properties and, subsequently, they propel social organizations through time and across spatial dimensions, or what Giddens calls “time-space power.”

Signification

For the most part, my analysis of the spreadsheet has focused on signification. Words, list-making, table construction, and algorithmic formulations create points and grids of cognitive significance that produce the intelligibility of the spreadsheet. Each representation is structured by their own sets of rules and dynamics. Writing uses phonographic lettering (or ideographic in the case of Chinese and Japanese Kanji) systems with words and sentences organized by grammar and syntax.[4] The list is simple but profound – it is a non-syntactic ordering system that can be combined with columns to organize classification systems of major consequence. Tables create flexible grids of meaning that can show patterns, relationships, and connections.

Likewise, the placement system of numbers and the role of zero in a base-10 positional system helps organize accounting and financial systems. Indo-Arabic numerals standardized a book-keeping and calculative system that structured organizational dynamics and propelled global capitalism.

Discipline

How does the spreadsheet work within an organizational context? How are spreadsheets connected to the power dynamics of a modern organization? The notion of power is complex, but as Giddens argues, it is key to structuring and stretching organizations over time and across spatial distances. Power operates to ensure the repetition and expansion of institutional practices and/or to intervene to create changes and disrupt an organization. It has a transformative capacity, sometimes enabling, and sometimes dominating. What conditions provoke which transformations? Budgets, in particular, work to organize resources in an organization, and the PC-based spreadsheet made it easier to enter data and change information to suit different goals.

Giddens emphasizes that control over resources is one key to power in an organization. Power can be authoritative – control over social actors such as employees, volunteers, inmates, students, soldiers, etc. With a spreadsheet, each person is identified, registered, classified, and associated directly with responsibilities, eligibilities, and accountability. Power can also be allocative – control over the distribution of material resources such as computer equipment, vehicles, office supplies, etc. Control may be a strong term, depending on the institution; administering, coordinating, or leading are some other terms that may be useful to understand how spreadsheets help manage authoritative and allocative resources.

Authoritative power defines the capability of agents to manage the social environment of the organization through a combination of disciplinary and motivational practices. Disciplinary power is enhanced by the spreadsheet in that information-keeping is simplified and visually expressive. Spreadsheet information is usually abbreviated (as opposed to the file), and situationally limited and organized with comparison with other personnel in mind. For example, as I coordinate teaching schedules, the spreadsheet lists courses, times, days, and instructors. Take this satirical quote from Colm O’Regan, an Irish stand-up comedian and writer:

    As much as oil and water, our lives are governed by Excel. As you read these lines somewhere in the world, your name is being dragged from cell C25 to D14 on a roster. Such a simple action, yet now you’ll be asked to work on your day off. It is useless to protest. The spreadsheet has been printed – the word made mesh.

Spreadsheets can provide a surveillance function when tracking detailed information on performances and can be used to compare different workers, students, patients, etc. Spreadsheets can also “organize the time-space sequencing” of events and actions when organized as time-tables. Contrarily, spreadsheets can be organized to monitor accomplishments and assign monetary or other awards.

The other category of resource power, allocative, involves control over material objects and goods. Allocation has to do with the distribution of resources, and provides a key nexus of power in organizations when only certain individuals are empowered to use or apportion resources. Think of a military structure where the chain of command signifies the power to assign duties to subordinates or allocate provisions such as food, water, and ammunition to different units. The development of different types of barcodes and radio-frequency identification (RFID) technologies are ways modern information systems are used to track resources and integrated right into spreadsheet formulas.

It is no accident that the privatization era emerged concurrently with the spreadsheet. While a number of historical forces converged to facilitate the mass transfer of public wealth into private hands, the spreadsheet became the enabler – listing, commodifying, and valuing resources. The transition of government-owned telecommunications systems or Post, Telephone and Telegraph organizations (PTTs) into state-owned enterprises and finally into publicly-listed corporations required the identification and inventorying of assets such as copper cable lines, telephone poles, and maintenance trucks.

Spreadsheets provided an extraordinary new tool to cognize and help control the resources of an organization, including its people. It is useful to include an analysis of power when examining the spreadsheet and its use in organizations as it is involved with both the control of authoritative and allocative resources and their implication in the reproduction or transformation of organizational routines.

Legitimation

The third structural property for social interaction, legitimation, deals with the norms or sanctions that operate within an institution. Giddens emphasizes that human action is crucial in the enactment of organizational structures. Their social identities and organization status emerge out of the interplay between signification, domination and legitimation in a process he calls “positioning.” Legitimation deals with moral constitution of the organization, its rights, its values, its standards, its obligations. It defines codes of conduct such as appropriate dress and way people are addressed.

Human actors negotiate their situation with their own knowledge and skills sets and the organizational contexts that provide the “rules” for appropriate actions and behaviors. Agents draw on stocks of knowledge gathered over time via memory, social cues, and signified regulations to inform him or herself about what is acceptable action. They anticipate the rewards of that action by considering the external context, conditions, and potential results of that action and its time-space ramifications. They learn to work within the guidelines of the organization, how to do the jobs they are assigned and how to read the political dynamics.

Different organizations have varying criteria for success and sanction. Success generally relies on some measure of competence while sanction refers to both the constraining and enabling aspects of authoritative power and involves permissions and penalties. What behaviors will be encouraged or penalized? What sets of values are rewarded? Who will be held accountable for certain actions and outcomes?

Those in the organization who know how to use spreadsheets for various tabulation, optimization, and simulation purposes in support of decision making have a decided advantage. Spreadsheets have been acknowledged for their support in managerial success, primarily because of their ability to model situations and provide “what-if” scenarios. The spreadsheet table combines cells that hold assumptions, cells that contain tentative values, and a formulaic framework that produces a prediction.

In this post, I attempted to connect how spreadsheets work with some of the communicative, cultural and political processes that occur in institutions to enable control over people and material resources. In particular, I show how a combination of resources, rules, and roles work to structure the relations in institutions and convey important messages about the degree of power held by different people and positions. Although often criticized for safety and usability, spreadsheets are part of the organization’s information system that propels it through time, and across space. More ethnographic research is needed to better understand the role of spreadsheets in the organizational context.

Notes

[1] Jack Goody’s (1984) Writing and the Organization of Society is noted for its historical research on the power of the list.
[2] Bonnie A. Nardi and James R. Miller (In D. Diaper et al (Eds.), “The Spreadsheet Interface: A Basis for End-user Programming,” Human-Computer Interaction: INTERACT ’90. Amsterdam: North-Holland, 1990. Spring, 1990.
[3] “Structuration Theory in Management and Accounting,” by N.B. Macintosh and R.W. Scapens
“Structuration Theory in Management and Accounting N.B. Macintosh and R.W. Scapens” in Anthony Giddens: Critical Assessments, Volume 4. edited by Christopher G. A. Bryant, David Jary.
[4] “Differential processing of phonographic and logographic single-digit numbers by the two hemispheres,” by http://www.haskins.yale.edu/sr/sr081/SR081_14.pdf

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AnthonybwAnthony J. Pennings, PhD is Professor and Associate Chair of the Department of Technology and Society, State University of New York, Korea. Before joining SUNY, he taught at Hannam University in South Korea and from 2002-2012 was on the faculty of New York University. Previously, he taught at St. Edwards University in Austin, Texas, Marist College in New York, and Victoria University in New Zealand. He has also spent time as a Fellow at the East-West Center in Honolulu, Hawaii.

The Cyberpunk Genre as Social and Technological Analysis

Posted on | August 13, 2018 | No Comments

I once taught a Freshman seminar at New York University in Information System Management (ISM). The course was introductory and only two credits, so I felt we needed a focused, fun, yet comprehensive set of analytical concepts to shape our discussions and assignments about ISM in the modern world. I decided to use the “cyberpunk” genre (a subgenre of science fiction) to look at the relationship between emerging digital technologies and the types of societies they were creating.

Frances Bonner’s “Separate Development: Cyberpunk in Film and TV” in HAL-ICONFiction 2000: Cyberpunk and the Future of the Narrative (1992) provided a framework concentrating on “…computers, corporations, crime, and corporeality–the four C’s of cyberpunk film plotting.”[1] The four “C’s” were used by Bonner to analyze whether various films and television shows could be categorized as cyberpunk.

Would cyberpunk include such “Sci-Fi” literary classics as Philip K. Dick’s Do Androids Dream of Electric Sheep (1968) and William Gibson’s Neuromancer (1984)? How about films such as Blade Runner (1982), The Matrix (1999) and the Terminator series? What about the relatively more recent Ready Player One (2018)? The 4Cs can be used to evaluate each of these for their cyberpunk “qualifications.” Bonner considered the TV show Max Headroom to probably be best embodiment of a cyberpunk genre creation based on her the 4 C’s.

Interestingly, cyberpunk looks to have gone mainstream more recently with major blockbuster movies. Often they reflect the 4Cs. Tony Stark, in the Ironman series, for example, embodies corporeality with the use of the Ironman exoskeleton, the corporation with Stark Industries, and computers with networked augmented reality. Its criminality indicts several sources, including corrupt corporate executives, disgruntled Russians, and alien hordes – not standard cyberpunk icons but an indication of the expansion of the genre towards “cy-fi” – cyberfictions.

More recently, The Ghost in the Shell (2017) starring Scarlet Johansson reprised the anime classic by the same name. Created by Masamune Shirow, it became an animated movie in 1995. The movie examines whether memory or action defines identity but uses technology and cyber villainy, with the CEO of Hanka Robotics being its major antagonist.

While the 4 C’s are useful for genre analysis, they can also be helpful categories for socio-technical analysis. The typologies provide classification systems according to structural features that assist distinctions and interpretations. These have been used to examine the iconography of cyberpunk media, such as character types in graphic novels or set designs in films, to determine its adherance to the genre. But they can also help analyze the socio-technical aspects of manufactured products and processes. These include digitally-based services such as search engines or AI. The 4Cs provide convenient analytical categories for examining modern societies by providing conceptual tools on Computers/Cyberspace, Corporations, Criminality, and Corporeality.

The 4 “Cs” in Socio-Technical Analysis

Computers can easily be replaced with “cyberspace” as the combination of digital processing and networked communications provides a convenient point of departure for an analysis of contemporary cybersocieties. Technology such as AI and robots have been a staple in cyberpunk, as are networked flying cars.

ColussusComputers initially appeared in literary productions as large, dominant “brains,” such as the giant computer in Colossus: The Forbin Project (1970) or HAL 9000 in 2001: A Space Odyssey (1968). These were no doubt based on the SAGE computers built by IBM and MIT as part of a North American hemispheric defense system based on radar stations located along the defense early warning (DEW) line ranging from Alaska, along the northern borders of Canada to the tip of Long Island in New York.

By the 1980s, the network capabilities added new dimensions and thus plot devices. War Games (1983) drew on the history of the large mainframe computer (Whoppr) used for nuclear defense purposes but also introduced home terminals and a networked environment. Cyberspace soon competed with science fiction’s interstellar rocket ship as the dominant literary icon.

Cyberspace originally meant virtual environments and simulations that simulate physical spaces, objects, and interactions in a digital context. It referred to data stored in large computers or a network represented as a three-dimensional model through which a virtual-reality user can move. It is represented in media through graphics, keyboards, text-boxes, and human-computer interfaces.

Cyberspace is still often used to refer to the realm of digital communication, especially when it comes to security. Cybersecurity has become an essential discipline for safeguarding digital assets, preserving privacy, maintaining business continuity, and protecting individuals, organizations, and society from the growing threats posed by cybercriminals, hackers, and other malicious actors in cyberspace.

Corporations are organizations with limited liability and strong incentives to maximize profits. Investors are protected to amount of their investments and not liable for negligence or criminal conduct on the part of the organization. Corporations are designed to raise capital by selling shares to the public.

Corporations often have a legal status as “artificial persons,” which gives them rights comparable to human citizens. This peculiar status emerged because of interpretation to a legal decision called Santa Clara County v. Southern Pacific Railroad that applied the 14th Amendment to corporations. This amendment to the United States Constitution was originally designed to secure rights for the recently freed slaves but corporate lawyers were able to use it to their benefit to ensure corporate entities could enter into legally binding contracts, own property, and to sue other companies and people.

Corporations are prevalent icons in the cyberfiction genres. Intelligent buildings such as Network XXIII’s headquarters in Max Headroom or DieHard‘s Nakatomi Tower represent the phallic connotation of corporate vitality. In the age of ethereal digital money, the marble and steel high-rise is the material representation of modern power. In the theological context, where the power is arranged hierarchically, height attains a spiritual significance. An example from “real” life, the corporate Majestic Tower in Wellington, New Zealand was built next to St. Mary’s Catholic church and given a mocking halo of lights as the country’s elite embraced a new corporate mentality. Corporations are often represented through icons such as skyscrapers, board rooms, logos, AIs, stock prices, ticker tapes, executives.

Criminality is a standard literary device that was successfully applied to the cyberpunk genre. It refers to transgressions of law and addresses issues of ethics. Known historically in crime fiction and especially for its use in the gangster genre. The gangster as a product of the new urban civilization confronted the contradictions of liberal capitalism with its promise of a classless, democratic society. The genre pitted desire against constraint, where the gangster violates the system of rules and bureaucracy in the name of tragic individualism. The gangster character-type with its propensity towards dramatic action and individualistic profiteering has long been a vehicle for politicizing capitalism’s perennial problems — alienation, debt, greed, poverty, and unemployment. While most cyberpunk reifies the individual neo-liberal hacker and “his” struggle against officialdom, its more politicized forms point to skill base and capital investment required of high tech corporate espionage. Criminality in fiction is often represented by icons such as dress, weapons, language, violence, bling, computer hacking, and mug shots.

Corporeality is one of the most intriguing areas of the cyberpunk domain. What is the relationship between human bodies and technologies? What is human consciousness? The ghost in the machine? How do technological developments augment or replace the human body? How can the body be bio-engineered? A central issue is commodification and the body? Drugs, implant devices, and external aids such as eyeglasses and hearing aids are some of the technology sold to augment or control the human body. Cybernetic organisms, Donna Haraway’s “Cyborgs”, and Tim Luke’s “Humachines” constantly test the boundaries of what we consider human and what we consider machine. Corporeality is often represented by icons such as mind-body and other interfaces, drugs, and interchangeable body parts.

Bonner suggested that narratives can be categorized as “cyberpunk” when they include some combination of computers, corporations, crime, and corporeality.[2] The 4 Cs of cyberpunk genre analysis also provides categories to examine the technological, economic, medical, and legal issues facing modern societies. They can help analyze the types of visual textual and auditory techniques that shape our stories of imagined futures. They can also be exploratory categories for understanding current socio-technical trajectories.

Notes

[1] Bonner, F. (1992) “Separate Development: Cyberpunk in Film and Television,” In (1992) Fiction 2000: Cyberpunk and the Future of Narrative. George Slusser and Tom Shippey (eds.) Athens, GA: The University of Georgia Press.
[2] ibid, p. 191.

Citation APA (7th Edition)

Pennings, A.J. (2018, Aug 13) The Cyberpunk Genre as Social and Technological Analysis. apennings.com https://apennings.com/dystopian-economies/the-cyberpunk-genre-as-social-analysis/

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AnthonybwAnthony J. Pennings, PhD is Professor at the Department of Technology and Society, State University of New York, Korea. Before joining SUNY, he taught at New York University and St. Edwards University in Austin, Texas. He wrote his PhD dissertation on Symbolic Economies and the Politics of Global Cyberspaces (1993) while teaching at Victoria University in Wellington, New Zealand and a Fellow at the East-West Center in Honolulu, Hawaii.

Java Continues to be the Most Popular Programming Language

Posted on | May 31, 2018 | No Comments

It has been a while since I reviewed the most popular programming languages. The top 10 most popular programming languages according to the statistics gathered for the TIOBE Index for May 2018 are:

  1. Java
  2. C
  3. C++
  4. Python
  5. C#
  6. Visual Basic .Net
  7. PHP
  8. Javascript
  9. SQL
  10. Ruby
  11. R

The TIOBE Index uses several search engines to calculate the programming languages in which most lines of code have been written over the course of a month. In first place is the Java language that was developed by Oracle’s subsidiary Sun Microsystems in the mid-1990s.

Java was developed for interactive TV and mobile devices but found a more immediate home in the emerging World Wide Web. Sun had open-sourced the Java language under the GNU General Public License (GPLv2) in November 2006, so anyone else could copy and use its code. Java has consistently been in the top 5 programming languages for the last 15 years as has C and C++.

Java was a source of contention between Oracle and Google due to its influence on the Android operating system. Oracle claimed Google had infringed its Java copyright by using 11,500 lines of its code in its Android operating system. In 2016 Google won the Android case that protected the idea of “fair use” for APIs (application programming interfaces). The news was welcomed by developers who rely on access to open-source APIs to develop various services.

Java is valuable for developing apps in Android and is also popular in the financial field for electronic trading, confirmation, and settlement systems. Big Data applications like Hadoop, ElasticSearch, and Apache’s Java-based HBase also tend to use Java. It is also preferred for artificial intelligence (AI), expert systems, natural language, and neural network applications, mainly because of the availability of Java code bases and Java Virtual Machine (JVM) as a computing environment. It is also used for developing driverless car technology. Java tends to safer, more portable, and easier to maintain than other C languages.

Large organizations tend to use Java more than smaller, start up companies. If you want to work in start-up locations like San Francisco or Austin, Texas you might want to learn Python or a variation of Javascript. Seriously consider Java if you want to be employed in major cities with a high concentration of corporations, government agencies or research institutes.

Having said this, programming languages like C++ and Python continue to be popular. Python is probably the easiest to learn and is popular with Google Chrome and YouTube. Here are some other indexes that monitor the use and popularity of computer programming languages.

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AnthonybwAnthony J. Pennings, Ph.D. is Professor and Associate Chair of the Department of Technology and Society, State University of New York, Korea. From 2002-2012 was on the faculty of New York University. Previously, he taught at Hannam University in South Korea, Marist College in New York, Victoria University in New Zealand, and St. Edwards University in Austin, Texas where he keeps his American home. He spent 9 years as a Fellow at the East-West Center in Honolulu, Hawaii.

Anchoring Television News

Posted on | May 8, 2018 | No Comments

“The news is privileged discourse, invested with a special relation to the Real.” [1]

The news anchor is a finely tuned instrument for television performance. Unlike print journalism where disembodied letters of information suggest an objective third person, the televisual anchor is intimate and direct.

The news broadcaster leads the viewer through the news while “anchoring” their attention to specific topics. The anchor anchors meaning. The anchor fixes meaning, in the sense that connections are made and reinforced through the authority and credibility of the speaker. The anchor emphasizes what’s important, and what is to be dismissed or ignored.[2]

He or she, or both, believe in the news, and that makes all the difference. Groomed and conditioned into the voice of authority, the anchor trades in the currency of assurance and credibility.

As the anchor is a guest into the homes and offices of the viewer, they must be trustworthy, well groomed, appropriately dressed, and present the sufficient manners appropriate to such an intrusion. But as they make themselves at home, anchors engage in light banter, laughing and joking with each other, including the viewer, albeit vicariously, in their community.

The anchor pulls the viewer into the hyper-real globe of television news and establishes the link between the world and its representation. As surveillance of the world is one of the key aspects of mass media, the viewer is transported around the world, peeking in on floods and coups, hurricanes and elections, earthquakes and ethnic cleansings. The viewer is included in the sphere of politics and economics.

When the anchor reads the news, computer graphics are often used. In particular, charts give a dynamic, historical validity to the news. A graph of a company’s share price tracked over the last month gives an empirical rhetoric to the argument. A three-month chart of a company’s stock price, for example, reconfirms the anchor’s argument about the relative strength or weakness of that company.

Or now, the anchor can be designed as a computer graphic. Examining the news anchor from the perspective of AI is useful because it raises the question, “What makes the news anchor?” Addressing this question allows for the denotative analysis of the news anchor and the reconstruction of the anchor with digital components, like constructing an avatar in a metaverse environment.

This post introduced some aspects of a formalistic analysis of television news. By examining the “anchor” of TV news, it suggests that television news has rhetorical dimensions that influences business decisions, government policies, and personal world-views.

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Notes

[1] Morse, M. (1986) “The Television News Personality and Credibility: Reflections on the News in Transition. In Studies in Entertainment: Critical Approaches to Mass Culture. (ed.) Tania Modleski.
[2] A ship uses a heavy object called an anchor that is attached to a rope or chain and used to moor a vessel to the bottom of a lake or sea. Metaporically, the anchor anchors meaning.

Citation APA (7th Edition)

Pennings, A.J. (2018, May 8). Anchoring Television News. apennings.com https://apennings.com/media-strategies/show-biz-anchoring-the-financial-imagination/

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AnthonybwAnthony J. Pennings, Ph.D. is Professor and Associate Chair of the Department of Technology and Society, State University of New York, Korea. From 2002-2012 was on the faculty of New York University. Previously, he taught at Hannam University in South Korea, Marist College in New York, Victoria University in New Zealand, and St. Edwards University in Austin, Texas where he keeps his American home. He spent 9 years as a Fellow at the East-West Center in Honolulu, Hawaii.

GLOBAL INNOVATION INDEX

Posted on | March 8, 2018 | No Comments

The Global Innovation Index (GII) signifies the key role of innovation in economic growth, competitiveness, and sustainability.

Co-published by Cornell University, INSEAD, and the World Intellectual Property Organization (WIPO), the GII attempts to identify and measure key innovation drivers that assist countries in developing policies to increase employment, improve productivity, and support long-term output growth.

The index is based on data from several sources, including the International Telecommunication Union (ITU), the World Bank and the World Economic Forum. It provides key insights on a wide range of national metrics that help policy-makers develop legislation and regulations that can facilitate economic activity. It currently assesses data in 127 national economies covering over 92% of the world’s population and 98% of global GDP.

The GII Report ranks world economies in terms of their innovation capabilities and results, recognizing the need for indicators that go beyond traditional measures of innovation such as research and development (R&D).

The GII publishes its data in seven major categories called “pillars.” Five input pillars comprise the Innovation Input Index
and capture elements of the national economy that enable or enhance innovative activities: Institutions, Human Capital and Research, Infrastructure, Market Sophistication, and Business Sophistication. Two pillars called the Innovation Output Index capture actual evidence of successful innovation outputs: Knowledge and Technology Outputs, and Creative Outputs.

INSTITUTIONS

The Institutions pillar captures the political economy framework of a country. These include political environment, political stability and absence of violence/terrorism, government effectiveness, and the regulatory environment. Business confidence and flexibility is important too and includes regulatory quality, rule of law, cost of redundancy dismissal, business environment, ease of starting a business, ease of resolving insolvency, ease of paying taxes.

HUMAN CAPITAL AND RESEARCH

This pillar gauges the human capital of countries and includes education levels and expenditures on education. This includes assessment in reading, mathematics, and science as well as pupil-teacher ratios in secondary and tertiary education and rankings of universities. Also considered are graduates in science and engineering, gross expenditure on R&D, and global R&D companies.

INFRASTRUCTURE

The third pillar measures information and communication technologies (ICTs), general infrastructure, and ecological sustainability. ICT includes ICT access, ICT use, government’s online services, and online e-participation. General infrastructure includes electricity output, logistics performance, and gross capital formation. Ecological sustainability measures GDP per unit of energy use, and environmental sustainability performance such as ISO 14001 environmental certificates.

MARKET SOPHISTICATION

The Market sophistication pillar has three sub-pillars structured around credit, investment and market conditions, trade, and competition. Areas include micro-finance, and venture capital as well as the total level of transactions.

BUSINESS SOPHISTICATION

The fifth enabler pillar tries to capture the level of business ability to assess how conducive firms are to innovation activity. These include number of knowledge workers: employment in knowledge-intensive services, firms offering formal training, and females employed with advanced degrees. Innovation linkages include university/industry, cluster development and research collaboration. Intellectual property and royalty payments have become prime indicators of innovation as are high tech imports, ICT services imports, and research talent in business enterprises.

KNOWLEDGE AND TECHNOLOGY OUTPUTS

This pillar covers all those variables that are traditionally thought to be the fruits of inventions and or innovations. These include knowledge creation, patent applications by origin, scientific and technical publications, and the rate of GDP per person engaged. Technology outputs include total computer software spending, high-tech and medium high-tech output, knowledge diffusion, intellectual property receipts, high-tech exports, and ICT services exports.

CREATIVE OUTPUTS

The last pillar on creative outputs measures the role of creativity for innovation. Areas include: intangible assets, trademark applications by origin, industrial designs by origin, ICTs and business model creation, ICTs and organizational model creation. Creative goods and services include cultural and creative services exports, national feature films produced, global entertainment and media market, printing and publishing output, and creative goods exports. Another area is online creativity such as generic top-level domains (gTLDs), Country-code top-level domains (ccTLDs), Wikipedia yearly edits, and Video uploads on YouTube.

These two indicators, the Innovation Input Index and the Innovation Output Index are averaged to compute the GII. The first combines five pillars while the second includes the last two and each score is calculated by a weighted average method. The overall GII score is the average of the Input and Output Sub-Indices. Below are scores tallied for the 2017 Report.

Global Innovation Index 2017 Rankings [Top 15]
Rank Country
1 Switzerland
2 Sweden
3 Netherlands
4 United States
5 United Kingdom
6 Denmark
7 Singapore
8 Finland
9 Germany
10 Ireland
11 South Korea
12 Luxembourg
13 Iceland
14 Japan
15 France

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AnthonybwAnthony J. Pennings, PhD is Professor and Associate Chair of the Department of Technology and Society, State University of New York, Korea. Before joining SUNY, he taught at Hannam University in South Korea and from 2002-2012 was on the faculty of New York University. Previously, he taught at St. Edwards University in Austin, Texas, Marist College in New York, and Victoria University in New Zealand. He has also spent time as a Fellow at the East-West Center in Honolulu, Hawaii.

THE EXPERIMENT, Part I: NEW ZEALAND AS THE WORLD MODEL FOR DIGITAL MONETARISM

Posted on | February 11, 2018 | No Comments


Starting “Down Under”
One of the first “guinea pigs” for the global system of digital monetarism was New Zealand. A one-time leader in developing the “welfare state,” the small two-island nation-state in the deep Pacific Ocean had run into economic problems by the early 1980s. It had borrowed heavily during the previous decade, and its agricultural products were increasingly excluded from the rich United Kingdom markets due to their increasing participation in the European Community. New Zealand’s industrializing attempts also ran up against rapidly escalating inflation, especially oil costs. As a result, the economy struggled, and a financial crisis ensued that would turn the country’s tide.[1]

In 1984, a new Labour government was voted in under Prime Minister David Lange. It was also a time when an active environmentalist and pacifist movement was growing in the small country. Subsequently, the new government voted to restrict nuclear vessels from coming into their ports. The decision represented a major diplomatic problem as the country was party to the ANZUS Treaty. This treaty brought the nation along with Australia under the defensive protection of the United States. As US policy was never to confirm nor deny the existence of nuclear weapons on any of its ships, it effectively meant that no US ships could port in New Zealand.

Consequently, Reagan’s Secretary of State George Shultz traveled deep into the Pacific to meet with the leaders of the new Labour Government. Shultz had been Ronald Reagan’s first Secretary of the Treasury and one of the architects of the Reagan economic changes. The contents of the meeting are sketchy, but the result was that New Zealand could keep its non-nuclear status but needed to undergo major economic restructuring in line with what was going on in the US and in Britain under Margaret Thatcher.

Under the direction of New Zealand’s Treasury and Ministry of Finance, a new strategy for the country was developed. Their Economic Management (1984) report contained the seeds of their intended transformation from a “Welfare State” to a new kind of “Enterprise Society” lubricated by digital financial activities. The new government instituted radical reform measures to cut government spending, implement a neo-liberal regulatory regime, “reinvent” civil service and privatize many government organizations, including the Post Office. The intention was to monetarize the national political economy in conjunction with emerging global financial and trade practices.

“Rogernomics” as it came to be called, was a strategy for reviving the sluggish and debt-ridden economy by refocusing on private exchanges or what are aggregately called “markets.” Named after Labour’s Minister of Finance, Roger Douglas, the national program offered a host of measures designed to dismantle its welfare apparatus. Drawing on its strong export trade of animal and natural resource products and, New Zealand attempted to provide its citizens with free education, healthcare, unemployment insurance, and social security. The new Labour-led government would focus instead on cutting fiscal expenditures, streamline bureaucracy, sell off state assets, as well as liberalize trade and control inflation.

In 1985, the Labour Party government launched a review of the Post Office. Its final report recommended transforming the postal service into three state-owned enterprises. The government in 1986 passed through parliament the State-Owned Enterprises Act that corporatized several government agencies into state-owned enterprises (SOE).

The New Zealand Post Office’s corporatization was completed with the 1987 passage of the Postal Services Act. Along with the SOE Act, the legislation broke up the New Zealand Post Office into three corporations: the postal service New Zealand Post Limited, the savings bank Post Office Bank Limited, and the telecommunications company Telecom New Zealand Limited. Within a few years, PostBank and Telecom were privatized, and only New Zealand Post remained a state-owned enterprise. [3]

Central to the new strategy was the deregulation and privatization of the telecommunications sector. Previously, the sector was under the purview of the New Zealand Post Office (along with the national bank system) and operated like a traditional PTT. But under this new system, the telecommunications company was first valued and corporatized as a state-owned enterprise (SOE) and then sold off.

Throughout the world, the telecommunication infrastructure would be the regime of digital monetarism’s first target. The reason was twofold. First, telecommunications was identified as the main conduit for both domestic and transnational business. Digital monetarism needed the fluid movement of information and electronic money within and through national borders. The national telecommunications system, while mainly bureaucratic and voice-based, still presented the best opportunity to create a modernized data communications system. The second reason was that, because of the high level of investment needed for a modern telecommunications, a privatized “telco” would be a major listing on a domestic stockmarket and was a high priority for investment bankers.

Telecommunications companies became almost universally the largest companies by market capitalization (current share price times the number of shares sold) by the end of millennium. After a period of deregulation and modernization, New Zealand sold its Telecom SOE government to Bell Atlantic and Ameritech, two American “Baby Bells”. It also partially floated its shares on public stock markets and soon became the largest listing on the New Zealand Sharemarket. When the selloff occurred in 1989, it was announced with the expectation that it would retire 1/3 of the government debt.

The experiment was a move towards a newly liberalized market economy centered around digital financial transactions and telecommunications. It was led ideological by attacks on the Keynesian system of economic management but was driven by the global debt crisis of the 1980s. New monetary liquidity emerged after Nixon dismantled the Bretton Woods system of currency regulation and technological innovations were once again applied for financial gain. Companies like Reuters developed new computerized systems for currency trading and global news and a global “information standard” emerged that replaced the gold standard as the system for ordering the global economy.

Notes

[1] Britain had resisted joining the EEC because of its existing trading obligations with the Commonwealth, primarily former colonies including New Zealand. Also continental interests, primarily France, were suspicious of the British ties to the US. But as the post-WWII economic boom continued in Europe, it became too attractive and on January 1, 1973 Britain was admitted into the EEC. France agreed, partly because it represented a balance to Germany’s power.
[3] Patrick G. McCabe, (1994) “New Zealand: The Unique Experiment in Deregulation,” in Telecommunications in the Pacific Basin: An Evolutionary Approach. Edited by Eli Noam, Seisuke Komatsukzuki, and Douglas A. Conn. New York: Oxford University Press. Originally presented at the Pacific Telecommunications Conference.

© ALL RIGHTS RESERVED



AnthonybwAnthony J. Pennings, PhD is Professor and Associate Chair of the Department of Technology and Society, State University of New York, Korea. Before joining SUNY, he taught at Hannam University in South Korea and from 2002-2012 was on the faculty of New York University. Previously, he taught at St. Edwards University in Austin, Texas, Marist College in New York, and Victoria University in New Zealand. He has also spent time as a Fellow at the East-West Center in Honolulu, Hawaii.

Characteristics of Economic Goods and their Social Implications

Posted on | January 20, 2018 | No Comments

In a previous post, I wrote about how media products can be considered “misbehaving economic goods” because most don’t conform to the standard product that is individually owned and consumed in its entirety. Economics is mainly based on the assumption that when a good or service is consumed, it is used up wholly by its one owner. But not all goods and services fit this standard model.

Media products like a cinema showing or a television program have different characteristics. They are not consumed by an individual owner, and it may be difficult to restrict non-paying users/viewer/consumers from enjoying them. Cinemas can project one movie to large groups because it is not diminished by any one viewer although it need walls and security to keep non-payers out. TV and radio began by broadcasting a signal out to a large population. Anyone with a receiver could enjoy the broadcast. Cable distribution and encryption techniques allowed more channels and the ability to to monetize more households. These variations raise a number of questions about the ownership and consumption of different types of products and their economic analysis.

The characteristics of goods and services also raises questions about how society should organize itself to offer these different types of economic products. Media products and services have required a fair amount of government regulation and sometimes government ownership of key resources. Some goods, like fish, are mainly harvested from resources like lakes, rivers, and oceans that prosper if they are protected, and access restricted from overuse or pollution.

In this post, I will outline four categories of economic goods that need to be considered in today’s digital age with its global economy and changing social systems of governance. The major issues are 1) the degree of consumption or “subtractibility” and 2) whether non-paying consumers can be excluded from their consumption. Media products tend to be non-rivalous and non-excludable and are generally considered to be either “club goods” or “public goods.” Consequently, they are a useful point of departure to talk about other types of goods.

Private Goods

The standard category for economic goods is private goods. Private goods are rivalrous and excludable. A person eating an apple consumes that particular fruit, and it is not available for rivals to eat. Yes, an apple can be cut up and shared, but it is ultimately “subtracted” from the economy. Having lived in apple country, I know you can enter an orchard and steal some fruit. Economists like to use the term households, partially because many products, such as a refrigerator or a car, are shared among a small group of people. Other examples of private goods include food items like ice cream, clothing, and durable goods like a television set.

Common Goods

Common goods are rivalrous but non-excludable, which means they can be subtracted from the economy, but it may be difficult to exclude others. Public libraries loan out books, making them unavailable to others. Tablespace and comfortable chairs at libraries can also be occupied, although it is difficult to exclude people from them.

Fishing results in catches that are consumed as sashimi or other fish fillets. But the openness of lakes, rivers, and oceans makes it challenging to exclude people from fishing them. Similarly, groundwater can be drilled and piped to the surface, but it isn’t easy to keep others from consuming water from the same source.

Oil then, is a common good. In the US, if you own the property rights to the land where you can drill, you can claim ownership of all you pump. Most other countries have nationalized their oil production and cut deals with major drilling and distribution companies to extract, refine, and sell the oil. Russia privatized its oil industries after the collapse of communist USSR, but has re-nationalized much of its control under Rosneft, a former state enterprise that is now a public-traded monopoly.

Oil retrieved from the ground and used in an automobile is rivalrous of course. An internal combustion engine explodes the hydrocarbons to push a piston that turns an axle and spins the wheels. When the energy is released, by-products like carbon monoxide and carbon dioxide enter the atmosphere.

Club Goods

Club goods are non-rivalrous and excludable. In other words, they cannot be consumed with usage, and it is possible to exclude consumers who do not pay. A movie theater can exclude people from attending the movie, but the film is not consumed by the audiences. It is not subtracted from the economy. The audience doesn’t compete for the cinematic experience; it shares the experience. That is why club goods are often called “collective goods.” These goods are usually made artificially scarce to help produce revenue.

Software is cheaply reproduced and not consumed by a user. However, the history of this product is wrought with the challenges of making it excludable. IBM did not try to monetize software and focused on selling large mainframes and “support” that included the software. But Micro-Soft (Its original spelling) made excludability a major concern and developed several systems used to protect software use from non-licensees.

It only recently moved to a more “freemium” model with Windows 10. Freemium became particularly attractive with the digital economy and the proliferation of apps. A free but limited app could be offered for free to get a consumer to try it. If they like it enough, they can pay for the full application. This strategy takes advantage of network effects and makes sure it gets out to a maximum amount of people.

Public Goods

The other category to consider are those products that are not subtracted from the economy when consumed and whose characteristics make it difficult to exclude nonpaying customers. Broadcast television shows or radio programs transmitted by electromagnetic waves were early examples. Carrying media content to whoever could receive the signals, the television broadcasts were not consumed by any one receiver. It was also difficult to exclude anyone who had the right equipment from enjoying the programs.

The technological exploitation of radio waves presented challenges for monetization and profitability. While some countries like Britain and New Zealand charged a fee on a device for a “licence” to receive content, advertising became an important source of income for broadcasters. It had been pioneered by broadsheets and newspapers as well as billboards and other types of public displays. As radio receivers became popular during the 1920s, it became feasible to advertise on its signals. In 1922, WEAF, a New York-based radio station charged US$50 for a ten-minute “toll broadcast” about the merits of a Jackson Heights apartment complex. These later became known as commercials and were adopted by television as well.

Cable television delivered programming that was originally not rivalrous but developed techniques to exclude non-paying viewers. They broadcast content to paying subscribers via radio frequency (RF) signals transmitted through coaxial cables, or light pulses emitted within fiber-optic cables. Set-top boxes were needed to de-scramble and decode cable channels and allow subscribers to view a single channel.

Unfortunately, this has led to monopoly privileges and has resulted in many viewers “cutting the cord” to cable TV. Cable TV is being challenged by streaming services that easily exclude non-paying members. Or does it? Netflix is trying to limit access to people sharing their plans with other people.

Generally recognized public goods also include firework displays, flood defenses, sanitation collection infrastructure, sewage treatment plants, national defense, radio frequencies, Global Positioning Satellites (GPS) and crime control.

Public goods are suspect to the “free-rider” phenomenon. A person living in a zone that floods regularly but doesn’t pay for taxes going into levees or other protections gets a “free ride.” Perhaps a better example is national defense.

Anti-Rival Goods

What happens when a product actually becomes more valuable when it is used? It is possible that an economic good not only be not be subtracted but increase in value when it is used? And increase its value when used by more people. A text application has no value by itself, but as more people join the service, it becomes more valuable. This is an established principle called network effects.

Merit Goods.

Merit goods are goods and services that society deems valuable and the market system does not readily supply. Healthcare and education, child care, public libraries, public spaces, and school meals are examples. Merit goods can generate positive externalities that circulate as positive effects on society. Knowledge creates positive externalities, it spills over to some who were not involved in its creation or consumption.

These are not necessarily all public goods. While medical knowledge is becoming more readily available, a surgeon can operate on a person’s heart, and her resources are not available to others. Hospital beds are limited and medical drugs and subtracted when used. An emerging issue is medical knowledge produced through data science techniques. The notion of public goods is increasingly being used to guide policy development around clinical data.

Economic Goods and Social Policy

Market theory is based a standard model where products are brought to market and are bought and consumed by an individual buyer, whether an individual or a more corporate environment. But as mentioned in a previous post, some products are misbehaving economic goods. A variety of goods do not fit this economic model and as a result present a number of problems for economic theory, technological innovation, and public policy.

Much political debate about economic issues quickly divides between free-market philosophies that champion enterprise and market solutions on the one hand, and economic management by government on the other. The former may be best for private goods, but other goods and services may require alternative solutions to balance production and social concerns.

Much of US technological development was ushered in during the New Deal which recognized the role of public utilities in offering goods like electricity, telephones, and clean water for sanitation and drinking. The move to deregulation that started in the 1970s quickly became more ideological rather than practical, except for telecommunications. Digital technologies emerged within market philosophies, but practical questions have challenged the pure free enterprise orthodoxy.

Summary

Media products are misbehaving economic goods in that they do not fit the standard model of a market with products that are consumed by an individual consumer. Modern economics is largely based on the idea that goods are primarily private goods. But as we move towards a society based more on information and digital processes, we need to examine the characteristics of the goods and services we value. We need to design systems of production and distribution around their characteristics.

© ALL RIGHTS RESERVED



AnthonybwAnthony J. Pennings, PhD is Professor at the Department of Technology and Society, State University of New York, Korea. Before joining SUNY, he taught digital economics and comparative political economy from 2002-2012 at New York University. He has also spent time as a intern and then fellow working with a team of development economists at the East-West Center in Honolulu, Hawaii.

Ensuring Successful Democratic Political Economies

Posted on | January 11, 2018 | No Comments

The recent election of Donald Trump for US president has called into question the conditions and competencies for leading a thriving democratic political economy (DPE). The Republican Party candidate had a surprising win over the former First Lady, Democratic Senator, and Secretary of State Hillary Clinton. This post examines the roles of the public sector and the private sector in ensuring macroeconomic success. Government and business, while often having differing motivations and strategies share the common objective of a thriving economy.

One recurrent issue is whether a career politician is a better choice to ensure a prosperous national economic environment or is a candidate with extensive business experience? Who more likely to create the conditions for political and commercial satisfaction and growth? This issue received recent currency with media attention on self-made billionaire Oprah Winfrey after her talk at the 2018 Golden Globes Award. The issue also calls into question the relationship between government and the private sector and what each contributes to economic activity in a democratic environment.

Historically, presidents from the business sphere have performed below average when it comes to U.S. economic activity, although the sample is statistically small. Jimmy Carter turned around his father’s farm but struggled during the stagflation of the 1970s. George H. Bush was a successful oilman but had difficulties managing the economy after taking over from Ronald Reagan. His son, George W. and the first president with an MBA, made a fortune with the Texas Rangers baseball team but left the country with the “Great Recession” of 2008 and massive debts due to war in the Middle East. Herbert Hoover, who was elected 1928, was engineer and silver mining magnate but failed to ward off the Great Depression. More successful was Warren Harding, a newspaper publisher, who presided over “the roaring twenties” and Harry Truman, who, although a failed businessman, saw the country through the end of World War II and the post-war economic boom.

Trump inherited a fortune from his real estate father and developed an international brand of luxury condos and homes targeted at global elites. Although a media celebrity throughout his career, he never held a government position nor ran for office. His first year as US president saw the extension of the seven-year economic recovery from the Great Recession, primarily due to advances in asset prices due to low interest rates and tax cuts.

But rather than address the capabilities of Trump directly, I will examine some of the structural characteristics that make the success of the economy, a priority for political leadership in democratic political economies. DPEs are republics that have politicians represent the populace in managing governments and their public administrations. This blog post expands on the notion that a division of labor has emerged in DPEs and examines the structural pressures which drive both the public and private sectors towards a common objective – success at the macroeconomic level – despite differing approaches and competences.[1]

Companies drive economic activity by investing in potential profit-making activities. Failure to attract investment within a national boundary can raise significant difficulties for a government and its internal populace. The globalization of commerce and finance since the 1970s has created new forms of competition for capital by national and even regional governments. This trend has challenged the tax base of these governments as they compete to offer better tax deals to multinational capital. The competition for jobs has also reduced wage rates, further eroding tax revenues.

While capitalists are often quite capable of success at the microeconomic level, they are not in a position to manage the economy as a whole. Towards procuring that success, corporations lobby governments and conduct other activities to influence government actions that will help their companies and industry.

Entrepreneurs and other people in business and professional services tend to be highly focused on their own profitability while spending only limited resources on community and civic affairs. Private activities are insufficient to maintain parks, libraries, roads and other public goods that enhance the quality of life. As a result, democratic political economies tend to divide the responsibilities for modern economic life. Corporations focus on commercial and fiduciary success. Governments provide, among other things, a judicial system to protect contracts, a monetary system for transactions and price stability, educational support to train workers, and administrative support to protect the populace from pollution and other dangers. Each shares an interest in robust commercial activities, albeit for differing reasons.

When it comes to ensuring a successful and prosperous political economy, democratic societies have certain structural conditions which guide the emergence of their particular form of capitalism. Neither the public nor private sector in modern democratic societies have sufficient managerial or policy competences to ensure a successful economy. Both rely on a vigorous economy for their success. Each needs economic success to satisfy their respective electoral and fiduciary constituencies. Despite the division and differing reasons, the goal is the same, a vibrant economy that will ensure both profits and political success. The political and commercial spheres both have an interest in macroeconomic success.

Governments look to the fruits of a growing economy to pay for debt interest, defense, and other services, including welfare. Their goal is to maintain a happy populace that will keep them in office. They want a prosperous economy to keep people employed, keep share prices high, and investment flowing into productive activities that will not only keep people feeling economically secure, but provide tax revenues.

The private sector, in general, is unable to ensure overall capitalistic growth on its own. It lacks sufficient organizational and policy consciousness to ensure success at the macroeconomic level. While corporations are often quite capable of success at the microeconomic level, they are not in a position to manage the economy as a whole.

The private sector wants growth and profits as well. Corporations strive to fulfill their fiduciary responsibilities – maintaining high profits for owners and shareholders. Towards procuring that success, they lobby governments and conduct other activities to influence government actions that will help their companies and industry. However, while these attempts may help individual companies or industries, they are insufficient to ensure the success of capitalism as a whole.

An interesting situation emerged with President Obama’s “You didn’t build that” statement during the 2012 presidential election campaign.

    “If you were successful, somebody along the line gave you some help. There was a great teacher somewhere in your life. Somebody helped to create this unbelievable American system that we have that allowed you to thrive. Somebody invested in roads and bridges. If you’ve got a business — you didn’t build that. Somebody else made that happen. The Internet didn’t get invented on its own. Government research created the Internet so that all the companies could make money off the Internet.”

The statement quickly received criticism by Governor Romney, a successful businessman, and others as an example of government encroachment in the private sector. The criticism echoed a similar critique against Vice-President Al Gore’s “I took the initiative to create the Internet.” Certainly, the Internet has progressed to be a major medium of global commerce due to entrepreneurial initiatives and accomplishments. However, much of the initial research and development, as well as the policy framework, was created by a wide range of government actions that transformed what was essentially military technology into commercial products and services.

The Republic’s Interest in the Economy

In the first of the major structural mechanisms that Fred Block proposed to explain why government officials pursue policies that are in the general interest of capitalism, he draws on the work of Claus Offe (1976). The officials of the government, according to this view, are to some extent dependent on the level of economic activity that: 1) allows the state to finance itself through taxation or borrowing; and 2) maintains popular support among the voting citizenry. Significant business investment, high levels of employment and minimal amount of government competition for surplus capital make up the most common strategies for ensuring high levels of tax receipts while keeping the voting public relatively content.

Governments require a tax base to help fund their activities, whether meeting the bureaucracy’s payroll, building infrastructure or funding defense. According to Modern Monetary Theory (MMT) governments provide a monetary system to standardize the currency used in the collection of taxes.

Taxes are policy decisions that affect different people, advantage different groups, make possible certain governmental directions. They tax a combination of capital gains, income, sales of goods and services, etc. Inheritance taxes for example, are meant to not only collect revenues, but impose a cost on the transfer of wealth and limit familial privilege and class divisions.

Administrations also produce debt instruments that help finance government activities. In the global digital financial economy, debt produced through government securities increasingly fund a significant amount of education, healthcare, military, research and other expenditures.

These instruments also provide an important hedge for the financial sectors. The global trading environment requires constant trading in a large variety of financial instruments. Government debt allows traders to increase trading activities by allowing them to hold government securities in their portfolios and trade them constantly.

Common economic doctrine argues that governments compete with the private sector for capital but in reality, the increase in government spending increases the financial sphere by expanding the trading environment, facilitating transactions, and providing instruments for risk reduction. This is a dangerous trend for governments, but financial institutions apply pressure to increase the amount of debt in circulation.

Elected officials also need to keep the voting populace materially happy to stay in office. Economic indicators play a vital role in the public’s perception of the economy. These indexes provide numerical representations of various states of the economy, from consumer confidence, to price levels and the latest unemployment rates. In an age when pensions and retirement accounts are invested in the financial markets, the public also follows such indicators as the Dow-Jones Industrial Average (DJIA) and NASDAQ to gauge their personal wealth. Policies that increase corporate wealth, such as tax cuts, are seen by many voters as more valuable than government expenditures on food stamps or other forms of personal welfare as they increase stock prices.

Significant structural relationships make the business of the economy, the business of government. For one, modern democratic governments have significant fiscal determinants that compel them to establish a major stake in the economy. Relying on taxation and borrowing to propel their activities and programs, they need to ensure a robust commercial sphere in order to obtain the needed financing to run the government, provide for the national defense, monitor the economy, and conduct special programs.

The business class is acutely aware of the influence government has on their interests and work towards shaping that influence, whether it be depressing the minimum wage, alleviating environmental restrictions, or shaping tax policy. Many critics of democratic political economies argue that influence gives capital concerns sufficient control over the state. For Block however, it is the first of several reasons, the “icing on the cake.” Other structural factors are at work and need to be considered.

Influence Channels and Cultural Constraints

Two “subsidiary structural mechanisms” are also important when it comes to shaping the actions of public administrators towards economic growth. These are influence channels and cultural hegemony.

The first of the subsidiary structural mechanisms are the influence channels. The private sector can exert significant pressure on the state through its ability influence politicians, especially in a media age requiring significant expenditures on TV and other mediums for advertising. The aims of this influence have generally been oriented towards the procurement of government contracts, favorable legislation, tax cuts, regulatory relief, labor control, and specific spending in certain areas. They are most often lobbying activities, campaign contributions, and other favors. The high costs of elections, particularly media buys for procuring elections, have tied government officials to the influence of economic concerns.

Undoubtedly, issues related to bribery, coercion, and the revolving door into higher paying jobs may be factors that influence policy actions, however, this does not discount larger structural factors at work.

Cultural hegemony was cited as a second subsidiary structural mechanism. Unwritten rules infiltrate democratic political economies, which tend to indicate what is and what is not acceptable state activity. “While these rules change over time, a government that violates the unwritten rules of a particular period would stand to lose a great deal of its popular support. This acts as a powerful constraint in discouraging certain types of state action that might conflict with the interests of capital.”[2]

A contemporary example is the cultural divide over the idea of “liberalism.” This term was recoded during the 1970s and 1980s as an attack on conservative culture, specifically religion and the belief in work and entrepreneurial activity. This attack was also located in the work of the US government. President Ronald Reagan was a strong voice in the articulation and critique of “liberalism” and promised to “get government off our backs.” This divide has been a dominant cultural characteristic of the modern US political debate.

More recently, President Trump withdrew the US from the Paris Climate Accords. While not as popular as Reagan, Trump appealed to a growing backlash against the calls for government action to address the consequences of climate pollution influencing weather effects around the world. Many were convinced that such actions would too expensive and hurt economic progress. Others refused to believe the scientific discourse on the topic. But mostly, strong interests in petrochemical-related industries drive the discussion on climate change through media technologies such as astroturfing to avoid a major “carbon bubble” collapse. For the most part, liberal progressive movements have embraced sustainable technologies and renewable energies such as hybrid cars, solar panels, and vegetarianism.

Summary

Government and corporations, while sharing broad common objectives for a robust political economy, have differing motivations and strategies for reaching these aims. Despite the division and differing reasons, the goal is the same, a robust economy that will ensure both profits and political success. Neither can, by themselves, ensure successful economic growth, but by recognizing this division of labor, and the structural properties that guide each sector, democratic political economies can guide government and corporations towards mutually reinforcing successes.

Notes

[1] Claus Offe and Fred Block have been particularly influential in examining these relationships. When I was in grad school one of my minors was public administration. One the authors that interested me was the sociologist Fred Block. He delineated a set of structural mechanisms that determine the relationship between governments and the private sector in modern economies.
[2] I originally wrote a version of this essay in graduate school. I was reading a lot of public administration as well as neo-Marxist state theory. Fred Block’s work was particularly useful and much of the ideas of a structural division of labor is based on his work, including this quote on p. 14.

Citation APA (7th Edition)

Pennings, A.J. (2018, Jan 11). Ensuring Successful Democratic Political Economies. apennings.com https://apennings.com/democratic-political-economies/ensuring-successful-democratic-political-economies/

© ALL RIGHTS RESERVED



AnthonybwAnthony J. Pennings, PhD is Professor and Associate Chair of the Department of Technology and Society, State University of New York, Korea. Before joining SUNY, he was on the faculty of New York University teaching comparattive political economy, macroeconomics, and digital economics. Previously, he taught at St. Edwards University in Austin, Texas, Marist College in New York, and Victoria University in New Zealand. He has also spent time as a Fellow at the East-West Center in Honolulu, Hawaii.

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