Understanding the diversity of CCs worldwide in globalization and deindustrialisation as an evolutionary tree diagram

Makoto Nishibe

Senshu University, School of Economics – Email: nishibe@isc.senshu-u.ac.jp

The main purpose of the paper is to explain why vast diversity of community currencies (CCs) arise both within “developed countries” and between “developed” and “developing” countries, and to provide an evolutionary tree diagram, rather than taxonomy, of CCs that continue to vary in globalization and deindustrialization as two long-term socioeconomic tendencies since the 1970s. To accomplish the end, we explain that globalization and deindustrialization in modern capitalist economy caused various economic, social and cultural problems and CCs were introduced to solve the problems caused by the tendencies, and that such diversity of the problems brought about the diversity of CCs as solutions for them, and we presume that, according to ‘reality oriented categorization,’ such diversity of CCs is described in a tree diagram with such two underling dimensions corresponding to the two socioeconomic tendencies as: x) economic and/or social-cultural media as two basic components of CCs in globalization and y) primary and secondary and/or tertiary industry regarding deindustrialization. Thus the initial archetype of the tree diagram is identified as “industrializing- economic/complementary” CCs seen in the past developed countries and the present developing countries that evolved into three branches of CCs (“industrializing-local/territorial”, “deindustrializing-cultural/community” and “deindustrializing-economic/complementary”). Finally, we take up Banco Palmas in Brazil to examine if it can be regarded as the typical case of an industrializing-economic/complementary CC in developing countries in the tree diagram of CCs and suggest implications for CCs in the future.

Article Nishibe

To cite this article:

Makoto Nishibe (2018) ‘Understanding the diversity of CCS world-wide in globalization and deindustrialization as an evolutionary tree diagram’ International Journal of Community Currency Research 2018 Volume 22 (Winter) 16-36 <www.ijccr.net> ISSN 1325-9547.  DOI: http://dx.doi.org/10.15133/j.ijccr.2018.003

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Classifying non-bank currency systems using web data

This paper develops a new classification of non-bank currency systems based on a lexical analysis from French-language web data in order to derive an endogenous typology of monetary projects, based on how these currencies are depicted on the internet. The advantage of this method is that it by-passes problematic issues currently found in the literature to uncover a clear classification of non-bank currency systems from exogenous elements. Our textual corpus consists of 320 web pages, corresponding to 1,210 text pages. We first apply a downward hierarchical clustering method to our data, which enables us to endogenously derive five different classes and make distinctions among non-bank currency system and between these and the standard monetary system. Next, we perform a similarity analysis. Our results show that all non-bank currency systems define themselves in relation to the standard monetary system, with the exception of Local Exchange Trading Systems.

Ariane Tichit*, Clément Mathonnat*, Diego Landivar**

* Clermont University, Auvergne University, CNRS, UMR 6587, CERDI, F-63009 Clermont Fd. Email: ariane.tichit@udamail.f; Clement.MATHONNAT@udamail.fr; ** ESC Clermont, 63000 Clermont-Fd. Email: diego.landivar@france-bs.com.

Keywords

non-bank money, text mining, web data, downward hierarchical clustering, similarity analysis

Article Tichit pdf

To cite this article: Tichit, A., Mathonnat, C.,  and Landivar, D. (2016) ‘Classifying non-bank currency systems using web data’ International Journal of Community Currency Research 20 (Summer) 24-40  <www.ijccr.net>  ISSN  1325-9547. http://dx.doi.org/10.15133/j.ijccr.2016.002

The “commodity – money – commodity” Mutual Credit Complementary Currency System. Marxian money to promote community trade and market economy

Samo Kavčič

Šercerjeva ul.26, 4240 Radovljica, Slovenia. E-mail: kavcic917@gmail.com

Abstract

The Mutual Credit Currency System, this most radical form of endogenous money, was evaluated and compared with Marx’s Commodity-Money-Commodity requirement.  A simple simulation of a small community closed loop economy was used to illustrate the functioning of two types of mutual credit currency systems. The first, dubbed MCSG, behaved according to the specifications and recommendations of the mutual credit currency system’s founding fathers, Riegel and Greco. The second, dubbed the Komoko Monetary System, or abbreviated to KMS, was a sub-type of the mutual credit currency system with some additional restrictions and one additional liberty. The main restriction introduced in the KMS was that it almost exclusively supported the exchange of only newly produced goods and services. The liberty introduced is forecast-based credit allocation. It was shown that the MCSG has an inconsistency that could potentially lead to instability. The restrictions applied within the KMS can provide a remedy for this potential flaw, while at the same time rendering the KMS compliant with Marx’s requirement. The monetary control measures applicable in KMS were discussed, which guarantee robustness and stability and make KMS a true complement to the official fractional reserve banking.

Keywords

Mutual credit system  , Commodity – money – commodity, Cash flow forecast, Currency circuit,  Monetary control,  Endogenous money

Article kavcic pdf

To cite this article: International Journal of Community Currency Research 20 (Summer) 41-53. <www.ijccr.net>  ISSN  1325-9547. http://dx.doi.org/10.15133/j.ijccr.2016.003

Vol. 20 (Summer) pp. 24-40

Classifying non-bank currency systems using web data

Ariane Tichit*, Clément Mathonnat*, Diego Landivar**

* Clermont University, Auvergne University, CNRS, UMR 6587, CERDI, F-63009 Clermont Fd. Email: ariane.tichit@udamail.f; Clement.MATHONNAT@udamail.fr; ** ESC Clermont, 63000 Clermont-Fd. Email: diego.landivar@france-bs.com.

Abstract

This paper develops a new classification of non-bank currency systems based on a lexical analysis from French-language web data in order to derive an endogenous typology of monetary projects, based on how these currencies are depicted on the internet. The advantage of this method is that it by-passes problematic issues currently found in the literature to uncover a clear classification of non-bank currency systems from exogenous elements. Our textual corpus consists of 320 web pages, corresponding to 1,210 text pages. We first apply a downward hierarchical clustering method to our data, which enables us to endogenously derive five different classes and make distinctions among non-bank currency system and between these and the standard monetary system. Next, we perform a similarity analysis. Our results show that all non-bank currency systems define themselves in relation to the standard monetary system, with the exception of Local Exchange Trading Systems.

Keywords

non-bank money, text mining, web data, downward hierarchical clustering, similarity analysis

Article Tichit pdf

To cite this article: Tichit, A.; Mathonnat, C.; Landivar, D. (2016) ‘Classifying non-bank currency systems using web data’ International Journal of Community Currency Research 20 (Summer) 24-40 <www.ijccr.net> ISSN 1325-9547 http://dx.doi.org/10.15133/j.ijccr.2016.002

Vol 20 (Summer) pp. 2-23

Psychological factors influencing the use and development of Complementary Currencies

Carmen Smith, Alan Lewis

University of Bath, Claverton Down, Bath, BA27AY, United Kingdom, Email: C.J.Smith@bath.ac.uk; A.Lewis@bath.ac.uk

Abstract

This paper presents a novel socio-psychological analysis of the motivations and experiences of mutual credit members in the United Kingdom and in the United States. Primary data comprised of interviews and participant observation, supplemented with secondary data analysis of organisation documents, and a review of the literature in psychology, sociology and economics. Group members were motivated to secure personal resilience against hardship, and the personal agency that results from this, along with the experiences of community and cultural identity positioning, motivates engagement. Consequently these groups are defined as cultural communities offering personal resilience to members through informal reciprocity. This approach, which prioritises the social aspects of exchange, has implications for the design of complementary currencies, particularly mutual credit initiatives, and demonstrates the value of engaging with the fields of psychology and sociology in developing interdisciplinary understandings of alternative economic practice.

Keywords

Complementary currency, mutual credit, sustainability, reciprocity, resilience, community

Article Smith pdf

To cite this article: Smith, C; Lewis, A. (2016) ‘Psychological factors influencing the use and development of Complementary Currencies’ International Journal of Community Currency Research 20 (Summer) 2-23 <www.ijccr.net> ISSN 1325-9547 http://dx.doi.org/10.15133/j.ijccr.2016.001

First Micro-Simulation Model of a LEDDA Community Currency-Dollar Economy

Results are presented for a first-in-class microsimulation model of a local-national currency system. The agent-based, stock-flow consistent model uses US Census income data as a starting point to project the evolution of local currency (community currency) and dollar flows within a simplified county-level economy over a period of 28 years. Changes in the distribution of family income are tracked. The community currency system under investigation is the Token Exchange System (TES), a component of the larger Local Economic Direct Democracy Association (LEDDA) framework under development by the Principled Societies Project. The model captures key design features of a TES, and results suggest parameter ranges under which the simulated TES is capable of achieving stated aims. Median and mean take-home family income more than double during the simulation period, income inequality is nearly eliminated, and the un- employment rate drops to a 1 percent structural level. The need for more sophisticated modeling of a TES, and avenues of future research, are discussed.

John Boik

To cite this article: Boik, J. (2014) ‘First Micro-Simulation Model of a LEDDA Community Currency-Dollar Economy’ International Journal of Community Currency Research 18 (A) 11-29 <www.ijccr.net> ISSN 1325-9547 http://dx.doi.org/10.15133/j.ijccr.2014.002

IJCCR 2014 Boik

Appendix

Complementary currency and its impact on the economy

Green-EconomyThe paper aims to show the impact that a complementary currency may have on a national economy from a theoretical point of view. A system dynamics model is created to describe the mechanics of money issuance in capitalist economies as well as in economies where there is no inside money. As an example, the first outcomes of a barter network implemented in 2008 by the STRO foundation in El Salvador (called Punto Transacciones) are presented and analyzed. Finally, using data from a complementary currency experience in El Salvador the spending multiplier is calculated. The main result shows that there is a greater spending multiplier in digital community currencies systems than in regular money market. Although the magnitude of PT network is still negligible from a macroeconomic point of view, the result is a desired outcome which may help to cushion the impact of macroeconomic shocks on labour market, contributing to stabilize aggregate demand.

Octavio Groppa

To cite this article: Groppa, O. (2013) ‘Complementary currency and its impact on the economy’ International Journal of Community Currency Research 17 (A) 45 – 57  <www.ijccr.net> ISSN  1325-9547 http://dx.doi.org/10.15133/j.ijccr.2013.005

IJCCR 2013 Groppa