International Journal of Econometrics and Financial Management

ISSN (Print): 2374-2011

ISSN (Online): 2374-2038

Website: http://www.sciepub.com/journal/IJEFM

Article

Methodological Basis for the Formation of the Cluster Model to the Regional Economic Development

1Economics and Management Department, Nizhnekamsk Chemical Technology Institute of Kazan National Research Technological University, Nizhnekamsk, Russian Federation


International Journal of Econometrics and Financial Management. 2015, 3(1), 7-11
DOI: 10.12691/ijefm-3-1-2
Copyright © 2014 Science and Education Publishing

Cite this paper:
Dyrdonova A.N.. Methodological Basis for the Formation of the Cluster Model to the Regional Economic Development. International Journal of Econometrics and Financial Management. 2015; 3(1):7-11. doi: 10.12691/ijefm-3-1-2.

Correspondence to: Dyrdonova  A.N., Economics and Management Department, Nizhnekamsk Chemical Technology Institute of Kazan National Research Technological University, Nizhnekamsk, Russian Federation. Email: Danauka@lenta.ru

Abstract

In the current environment, the economic clusterization, which contributes to closer interrelations between the businesses operating within this system and promotes development of the involved regions, represents one of the key factors relating to competitive ability improvement of the active businesses. Identification and assessment of regional clusters is actually regarded as an insufficiently studied issue, which fact, first of all, is linked to complexity of the region as an economic system on the whole having rather a diversified profile. This paper deals with a study of theoretical and methodological aspects pertaining to formation of clusters in the industrial sector of the region. The methodological approach as devised by the author of the present paper is based upon determination of localization coefficients, per capita production in the relevant sector, region’s specialization in manufacturing of products falling within the scope of a specific industrial sector, and integral index of clusterization potential. As a result of the calculations, several industrial sectors were identified that displayed the highest degree of clusterization reasonability, in particular, chemical, petrochemical and fuel industries. Formation and development of a petrochemical cluster, in opinion of the author, eventually will result in scoring a number of advantages for the regional economics, including new job formation, manufacturing new product lines, development of region infrastructure, upgrading the research and technology along with increasing the degree of their implementation efficiency etc.

Keywords

References

[1]  Dahmen, E., Business and development of Swedish industry (1919-1939), Sweden. 1950.
 
[2]  Dyrdonova, A.N., “Formation and development of elements of innovation infrastructure in the region”, Management of economic systems: electronic scientific journal. 12 (60). 2013.
 
[3]  Dyrdonova, A.N., “Methodical bases of potential clustering of regional economic systems”, Business. Education. Law. Bulletin of the Volgograd Business Institute, 1 (26). 252-262. 2014.
 
[4]  Enright, M.J., Why Clusters are the Way to Win the Game? Word Link. July/August. 24-25. 1992.
 
[5]  Feldman, V.P., “Innovation in cities: Science, based on diversity, specialization and localization competition”, European Economic Review. 43. 409-429. 1999.
 
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[6]  Maskell, P., Larenzen, M., “The Cluster as Market Organization”, DRUID Working Paper. 14. 29-35. 2003.
 
[7]  Melnik, A.N., Dyrdonova, A.N., “Formation and development of industrial clusters in the region”. In SGEM 2014 International Multidisciplinary Scientific Conferences on Social Sciences and Arts, 3-9 September, 2014.
 
[8]  Melnik, A.N., Dyrdonova, A.N., “Infrastructural support for development of the territorial petrochemical cluster”, Mediterranean Journal of Social Sciences. 5 (18). 299-304. 2014.
 
[9]  Porter, M., Competition: Per. from English. Publishing House «Williams», M. 2005.
 
[10]  Rosenfeld, S.A., “Bringing Business Clusters into the Mainstream of Economic Development”, European Planning Studies. 5. 3-23. 1997.
 
[11]  Soulie, D. Filieres de Production et Integration Vertical, Annales des Mines. Janvier, 21-28. 1989.
 
[12]  Tolenado, J.A., “Propjs des Filires Industrielles”, Revue d'Economie Industrielle, 6 (4). 149-158. 1978.
 
[13]  Terelyansky, P.V., Svidetelstvo o gos. Registratsii program dlya EVM № 2009611495. Raschet vektora prioritetov na osnove priblizhennogo rascheta pravogo sobstvennogo vectora kvadratnoy obratnosimmetrichnoy matritsi [Certificate on State Registration of Computer Program № 2009611495. Calculation of Priority Vector Based on Approached Calculation of the Right Own Vector of Square Reverse symmetric Matrix] ROSPATENT. Moscow. 2009.
 
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Article

Evaluation of the Demographic Potential of Russia’s Northern Regions

1College of Foundation Studies, University of the South Pacific, Suva, Fiji

2College of Engineering, Science and Technology, Fiji National University, Suva, Fiji


International Journal of Econometrics and Financial Management. 2015, 3(1), 12-18
DOI: 10.12691/ijefm-3-1-3
Copyright © 2014 Science and Education Publishing

Cite this paper:
Krishnam Nair, Rishal Amar Singh. Evaluation of the Demographic Potential of Russia’s Northern Regions. International Journal of Econometrics and Financial Management. 2015; 3(1):12-18. doi: 10.12691/ijefm-3-1-3.

Correspondence to: Rishal Amar Singh, College of Engineering, Science and Technology, Fiji National University, Suva, Fiji. Email:

Abstract

Nowadays relevance of studying of all aspects of the development of Northern regions of the Russian Federation consists in the fact that in spite of limited stocks in the old rendered habitable regions of the country North is considered as a source of resources for social and economic development of Russia. Based on the recognition that the territory is as a separate object of state observation it is noted that the best resources for labor of the economy of North may become demographic potential of adjacent regions. The different points of view and approaches to definition of the demographic potential and a set of indicators by its assessment are given. On a basis of the statistical analysis of population dynamics and a level of birth rate and mortality it is shown that quantitative demographic potential of the northern regions, since 1990s significantly decreased. It was affected by migratory outflow. It is revealed that in northern regions still have positive differences by age and sexual structure. The results can be used by regional governments by drawing up Strategic plans of social and economic development of territories. The article concludes with recommendations.

Keywords

References

[1]  Fauzer, V.V., «State regulation of fertility», Problems of the theory and practice of management, 5. 58-64. May 2014.
 
[2]  International Migration Report 2013. [Online]. Available: http://www.un.org/en/development/desa/population/publications/pdf/migration/migrationreport2013/ Full_Document_final.pdf. [Accessed Nov. 6, 2014].
 
[3]  Global Migration: Demographic Aspects and Its Relevance for Development. Technical Paper,6. 2013 [Online]. Available: http://www.un.org/esa/population/migration/documents/EGM.Skeldon_17.12.2013.pdf. [Accessed Nov. 6, 2014].
 
[4]  Korobitsyn, B.A., Kuklin, A.A., Manzhura, I.L., Nikulin, N.L., «Assessment of damage from the reduction in life expectancy as a result of cancer», The region's economy, 3. 257-264. March 2013.
 
[5]  Ross Toro. Global Life Expectancy. [Online]. Available: http://www.livescience.com/22005-highest-and-lowest-life-expectancy-at-birth-infographic.html [Accessed Nov. 5, 2014].
 
Show More References
[6]  Vasilyev, A.V., Tarasov, A.A. «Dynamic model of labor migration: the construction and implementation», The regional economy, 4. 140-148. Apr. 2012.
 
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Article

Using International Experience for the Formation of Prerequisites for the Development of Innovative SMEs in the Regions of Modern Russia

1Department of Management and Urban Development and Construction, Volgograd, Russian Federation


International Journal of Econometrics and Financial Management. 2015, 3(1), 19-23
DOI: 10.12691/ijefm-3-1-4
Copyright © 2014 Science and Education Publishing

Cite this paper:
Maznitsa Elena Mikhailovna. Using International Experience for the Formation of Prerequisites for the Development of Innovative SMEs in the Regions of Modern Russia. International Journal of Econometrics and Financial Management. 2015; 3(1):19-23. doi: 10.12691/ijefm-3-1-4.

Correspondence to: Maznitsa  Elena Mikhailovna, Department of Management and Urban Development and Construction, Volgograd, Russian Federation. Email: Dilemaz@mail.ru

Abstract

Article is devoted to the development issues of small and medium-sized, in particular, innovative, business in the regions of modern Russia. Urbanization of Russia continues. People move to the capital cities, as the development process occurs only in them, as many believe. This, as it seems to the author, is the primarily cause to the reduction in numbers of small and medium-sized enterprises in the Russian province. Deterioration of working conditions of business at all levels, slowing economic growth, economic and political sanctions are the causes of deterioration of the business climate in the country. Article emphasizes the need to preserve, enhance and further develop the various settlements on the territory of Russia, which is possible only by activating the economy. In turn, the economic recovery is only possible with the participation of the business. Economic slowdown adversely affects the prospects of the existence of small and medium-sized enterprises in the Russian Federation. Some measures to create conditions for the development of innovative small and medium-sized businesses in Russia are suggested.

Keywords

References

[1]  Bernal, J.D.,Science in History, CA Watts & Co, London, 1954
 
[2]  Brechalov, A.,Great opportunities for the small. RBC Daily, [Online]. Available: http://rbcdaily.ru/economy/opinion/562949987053972, [Accessed May. 23, 2013].
 
[3]  Drucker, P.F., Encyclopedia of Management [in Russian], Economics, Moscow, 2001.
 
[4]  Etzkowitz, H.,The Triple Helix University—Industry—Government Innovation in Action, Routledge, London, 2008.
 
[5]  Kuznets, S., Modern economic growth: the results of research and reflection. Nobel Lecture. Nobel Laureates in Economics: A View from Russia. (Ed.) Y. Yakovets, Gumanistika, St. Petersburg, 2003.
 
Show More References
[6]  Leguenko, M.,Oil has corrupted Russia to the extreme. [Online]. Available: http://www.utro.ru/articles/2013/09/19/1144831.shtml [Accessed Sept. 19, 2014].
 
[7]  Maznitsa, E.M., “Role of the state in the development of regional innovation entrepreneurship (in example of the Volgograd region)”, Entrepreneurship, 1, 2009. [in Russian]
 
[8]  Meleshenko, A., “Results of the contest of regional economic development”. RG, 144(5817). [in Russian].
 
[9]  Schumpeter, J.A., The theory of economic development: an inquiry into profits, capital, credit, interest, and the business cycle. Transaction Publishers, 1934.
 
[10]  Titov, B., and A. GalushkaEconomy “bottom up”. [Online]. Available: http://www.rbcdaily.ru/economy/562949987042073, [Accessed May. 23, 2013].
 
[11]  Trifonova, M., In Russia will survive only oligarchs and office plankton.[Online]. Available:http://www.utro.ru/articles/2013/06/04/1122916.shtml, [Accessed June. 4, 2014].
 
[12]  Weber, M., The Protestant Ethic and the Spirit of Capitalism. Taylor & Francis e-Library, 2005.
 
Show Less References

Article

Management of Explicit and Implicit Knowledge in Industrial Regions of the Russian Federation for the Period 2000 - 2010

1Department of Educational Projects, The Fund for Infrastructure and Educational Programs Department of Educational Projects and Programs, (RUSNANO), Moscow, Russian Federation

2The Institute of Economics, Management and Law, Kazan, Russian Federation


International Journal of Econometrics and Financial Management. 2015, 3(1), 24-31
DOI: 10.12691/ijefm-3-1-5
Copyright © 2014 Science and Education Publishing

Cite this paper:
Gumerova Gjusel Isaevna, Shaymieva Elmira Shamilevna. Management of Explicit and Implicit Knowledge in Industrial Regions of the Russian Federation for the Period 2000 - 2010. International Journal of Econometrics and Financial Management. 2015; 3(1):24-31. doi: 10.12691/ijefm-3-1-5.

Correspondence to: Shaymieva  Elmira Shamilevna, The Institute of Economics, Management and Law, Kazan, Russian Federation. Email: kaz03@yandex.ru

Abstract

The article defines the market volumes of knowledge in industrial regions of the Russian Federation for the period of 2000-2010; formulates the periodization of the knowledge market development in Russian with the indication of the volume ranges of knowledge market values; defines tendencies of development of the explicit and implicit knowledge market in industrialized federal subjects of the Russian Federation. Empirical research of knowledge market in Russian industrial regions is carried out; recommendations on the development of explicit and implicit knowledge markets are given. The analysis is based on data provided by the Russian official statistics office, ROSSTAT, methodological documents of ROSSTAT, statistical data of National research University "Higher school of Economics". The market analysis of the knowledge carried out on three levels: the macro-level, the level of the Russian industrial regions as meso-level, regional industrial enterprises as micro-level of the research. The indicator "expenses on technological innovations” is used in the study as the main indicator of the functioning of the knowledge management system in the organization.

Keywords

References

[1]  Adizes, I.K., Upravlenie zhiznennym tsiklom korporatsii, Piter, Saint Petersburg, 2013.
 
[2]  Alekseev, V.I., Formirovanie sistemy upravleniya intellektual'noi sobstvennost'yu vysokotekhnologichnogo predpriyatiya. Moscow, 2010.
 
[3]  Alvesson, M., Understunding Organizational Culture. Sage Publications. 2002.
 
[4]  Bhargava, S., “Challenges of Management of Knowledge Workers in 21st Centure Organizations in Developing Nations” in 28th International Congress in Psychology. Beijing, China, 2004.
 
[5]  Boden, M.A., (Ed.) Dimensions of Creativity, MIT Press, Cambridge, 1994.
 
Show More References
[6]  Chentsova, M.V., Osobennosti formirovaniya ekonomiki znanii v sovremennykh usloviyakh. Moscow, 2008.
 
[7]  Davenport, Th., KM Case Book. Munich. 2002.
 
[8]  Daum, J.H., Intangible Assets. Bonn. Galileo Press, 2002.
 
[9]  Dresvyannikov, V.A., Upravlenie znaniyami organizatsii: uchebnoe posobie. KNORUS, Moscow, 2012.
 
[10]  Dzheffri, L. and M. Devid,Praktika dao Toyota: rukovodstvo po vnedreniyu printsipov menedzhmenta Toyota. Al'pina Biznes Buks, Moscow, 2006.
 
[11]  Foss, N.J., Resources, Technology and Strategy: Explorations in the Resource-Based Perspective. Oxford University Press, 2000.
 
[12]  Gumerova, G.I. and E.Sh. Shaimieva, “Formirovanie kontseptual'nykh polozhenii modeli upravleniya znaniyami v organizatsii: teoretiko-metodicheskii podkhod (na osnove empiricheskogo issledovaniya)”, Aktual'nye problemy ekonomiki i prava, 3(27), 2013.
 
[13]  Indikatory nauki: 2012, NIU “Vysshaya shkola ekonomiki”. Moscow, 2012. [Online]. Available: http://www.hse.ru/primarydata/in2012
 
[14]  Jones, Ch., R&D-Based Model of Economic Growth. Journal of Political Economy, 1995. Vol. 103. №4.
 
[15]  Lesser, E.L., Knowledge and Social Capital. Boston: Butterworth – Heinemann, 2000.
 
[16]  Mandeville, T., An Information Economics Perspective on Innovation, International Journal of Social Economics. 1998. Vol. 25. Issue 2-4.
 
[17]  Makarov, V. L., Kleiner, G. B. Mikroekonomika znanii. Moscow: Ekonomika, 2007.
 
[18]  Makarov, V. L., “Ekonomika znanii: uroki dlya Rossii”, Nauka I shizn, 5, 2013. [Online]. Available: http://www.nkj.ru/archive/articles/2874/ [Accessed Oct. 1, 2014].
 
[19]  Mindeli, L.E. and L.K. Pipiya, “Kontseptual'nye osnovy formirovaniya ekonomiki znanii”, Problemy prognozirovaniya, 3. 2007.
 
[20]  Mil'ner, B.Z., Innovatsionnoe razvitie: ekonomika, intellektual'nye resursy, upravlenie znaniyami, INFRA-M, Moscow, 2009
 
[21]  Myasoedova, T. G. and R.O. Shevchenko, “Upravlenie znaniyami kak funktsiya deyatel'nosti organizatsii”, Menedzhment v Rossii i za rubezhom, 5. 2007. [Online]. Available: http://www.mevriz.ru/articles/2007/5/4595.html [Accessed Oct. 4, 2014].
 
[22]  Mil'ner, B.Z., Rumyantseva, Z.P., Smirnova, V.G., Blinnikova, A.V., Upravlenie znaniyami v korporatsiyakh, Delo, Moscow, 2006.
 
[23]  Osipov, V.A., Upravlenie intellektual'nym kapitalom v usloviyakh innovatsionnogo razvitiya predpriyatiya. Saint Petersburg, 2004.
 
[24]  Osono, E., Ekstremal'naya Toyota: Paradoksy uspekha yaponskogo menedzhmenta, Al'pina Pablisherz: Izd-vo Yurait, Moscow, 2011.
 
[25]  Patton, S., “Beating the Boomer Brain Drain Blues”, CIO Magazine. 2006. Jan. 15.
 
[26]  Pisano, G.P., “Wheelwright S.C. The New Logic of High Tech R&D”. Harvard Business Review, 73 (5), 1995 in: Shaimieva, E.Sh.,Innovatsii dlya realizatsii tekhnologicheskoi modernizatsii regionov. Kazan, Izdatel'stvo Poznanie IEUP.
 
[27]  Promyshlennost' Rossii. Federal'naya sluzhba gosudarstvennoi statistiki, Rosstat, Moscow. 2012.
 
[28]  Promyshlennost' Rossii. Federal'naya sluzhba gosudarstvennoi statistiki, Rosstat, Moscow. 2005.
 
[29]  Popov, E.V. and M.V. Vlasov, “Institutsional'nyi analiz protsessov proizvodstva novykh znanii”, Montenegrin Journal of Economics, 4.2006.
 
[30]  Postanovlenie ot 8.11.2006 № 64 ob utverzhdenii poryadka zapolneniya i predstavleniya formy Federal'nogo gosudarstvennogo statisticheskogo nablyudeniya № 1-litsenziya “Svedeniya o kommercheskom obmene tekhnologiyami s zarubezhnymi stranami (partnerami)” (Decree of 8.11.2006 № 64 on approving the order of filling and submitting the form of Federal State Statistical Observation №1 – license “Data on commercial exchange of technologies with foreign countries (partners))”. [Online]. Available: http://base.consultant.ru/cons/cgi/online.cgi?req=doc;base=LAW;n=64991 [Accessed Oct. 1, 2014].
 
[31]  Romer, P.M., “Endogenes Technological Change”, Journal of Political Economy. 98 (5). 1990.
 
[32]  Regiony Rossii. Sotsial'no-ekonomicheskie pokazateli. Federal'naya sluzhba gosudarstvennoi statistiki, Rosstat, Moscow. 2011.
 
[33]  Regiony Rossii. Sotsial'no-ekonomicheskie pokazateli. Federal'naya sluzhba gosudarstvennoi statistiki, Rosstat, Moscow. 2012.
 
[34]  Rossiya v tsifrakh. Krat. stat. sb., Federal'naya sluzhba gosudarstvennoi statistiki. Moscow, 2004.
 
[35]  Sveiby, K.E., The New Organisational Wealth – Managing and Measuring Knowledge-Based Assets. San-Francisco. 1997.
 
[36]  Teece, D.J., “The Market for Know-How and the Efficient International Transfer of Technology”, Annuals of the American Association of Political and Social Sciences, 458 (1), 1981.
 
[37]  Teece, D.J., “Firm Organization, Industrial Structure and Technological Innovation”, Journal of Economic Behavior and Organization. 2. 1996.
 
[38]  Vlasov, M.V., “Strategiya proizvodstv novykh znanii”, Obshchestvennye nauki I sovremennost', 3. 2007.
 
[39]  Weick, K.E., “The Nontraditional Quality of Organizational Learning”, Organization Science. 1. 1991.
 
[40]  Welch, D., “Staying Paranoid At Toyota”, Business Week, Jul. 2, 2007. [Online]. Available: www.busineesweek.com./magazine/content/07_27/b4041060.htm?chan=top+news+index_autos [Accessed Jul. 1, 2007].
 
[41]  Welch, D., “Why Toyota Is Afraid of Being Number One”, Business Week, Mar. 5, 2007. www.busineesweek.com./magazine/content/07_10/b4024071.htm [Accessed March 10, 2007].
 
[42]  Westley, F.R., “Middle Managers and Strategy: Microdynamics of Inclusion”, Strategic Management Journal, 11. 1990.
 
[43]  Wooldridge, B., Floyd, S.W., “The Strategy Process, Middle Management Involvement, and Organizational Performance”, Strategic Management Journal. 11. 1990.
 
Show Less References

Article

Geographies of Cluster Internationalization: Inter-organizational Linkages on the Baltica

1Immanuel Kant Baltic Federal University, Kaliningrad, Russia


International Journal of Econometrics and Financial Management. 2015, 3(1), 32-37
DOI: 10.12691/ijefm-3-1-6
Copyright © 2014 Science and Education Publishing

Cite this paper:
Mikhaylov Andrey Sergeevich, Mikhaylova Anna Alekseevna. Geographies of Cluster Internationalization: Inter-organizational Linkages on the Baltica. International Journal of Econometrics and Financial Management. 2015; 3(1):32-37. doi: 10.12691/ijefm-3-1-6.

Correspondence to: Mikhaylov  Andrey Sergeevich, Immanuel Kant Baltic Federal University, Kaliningrad, Russia. Email: mikhailov.andrey@yahoo.com

Abstract

The following research paper addresses the issue of cluster internationalization process. The methodological approach is based on analyzing pan-European projects of transnational inter-organizational cooperation, while giving emphasis on identifying networked linkages across the spatial reach of the Baltic region. Research results reveal a number of geographical locations that exhibit active cross-border regionalization processes, successfully implementing the international cluster initiative policies. A ponderable correlation between the level of urbanization of a territory and the number of ongoing international cluster initiatives is found. The distribution of international cluster initiatives in the Baltic region by specialization is presented, as well as the comparative analysis with the established cross-border clusters is given.

Keywords

References

[1]  Andersen, P.H. “Regional clusters in a global world: production, relocation, innovation, and industrial decline”, California Management Review. 49 (1). 101-122. 2006.
 
[2]  Andersson, T., Schwaag-Serger, S., Sorvik, J., Hansson, E.W., The Cluster Policies Whitebook, Holmbergs, IKED. Malmö, 2004. 266 p.
 
[3]  European Cluster Policy Group. Consolidated set of policy recommendations on four themes. 2010. 24 p. [Online]. Available: http://www.proinno-europe.eu/sites/default/files/newsroom/2010/09/ECPG_Consolidated_Report_v2.1__low.pdf [Accessed Oct. 9, 2014].
 
[4]  Flash Eurobarometer, Innobarometer on cluster’s role in facilitating innovation in Europe. Analytical Report. The Gallup Organization Hungary, 2006. 125 p.
 
[5]  Kaiser, R., and H.Prange “The Reconfiguration of National Innovation Systems in OECD Countries” in SEGERA International Conference Innovation in Europe: Dynamics, Institutions, and Values, Roskilde, 8/9. May. 2003.
 
Show More References
[6]  Ketels, Ch. “Clusters, Cluster Policy, and Swedish Competitiveness in the Global Economy”. PRINT Edita, Västerås. 2009. 66 p.
 
[7]  Lefebre, Ph., “Organised clusters evolutions: from cluster life-cycle approaches to the action trajectories approach”. in 7th international Seminar on Regional Innovation Policies. Cluster Life-Cycle Sessions. Porto (Portugal). 11-12 Oct. 2012.
 
[8]  Martin, Ph., Mayer, T., Mayneris, F.”Natural Clusters: Why Policies Promoting Agglomeration are Unnecessary”, VOX, Jul.4. 2008. [Online]. Available: http://www.voxeu.org/article/natural-clusters-policies-promoting-agglomeration-are-unnecessary [Accessed Oct. 6, 2014].
 
[9]  Martin, R., andP. Sunley. “Deconstructing clusters: Chaotic concept or policy panacea?”, Journal of Economic Geography, 3 (1). 5-35. 2003.
 
[10]  Maskell, P., and A. Malmberg. “Myopia, knowledge development and cluster evolution”, Journal of Economic Geography, 7 (5). 603-618. 2007.
 
[11]  Mikhailov, A.S., “Development of international clusters in the Baltic Sea region”, Baltic region. 1 (15), 37-47. 2013.
 
[12]  Mikhaylov, A.S., “Features of the triple helix model in cross-border clusters”, World Applied Sciences Journal, 21 (12). 1734-1738. 2013.
 
[13]  Mikhaylov, A.S., “Internationalization cluster policy of the Baltic Sea region countries: formation of the international clusters”. in4th International scientific conference European Science and Technology , Munich, Apr. 2013.
 
[14]  Mikhaylov,A.S., and A.A.Mikhaylova. “Spatial and sectoral distribution of international clusters in the Baltic region”, European Journal of Scientific Research, 121 (2). 122-137. 2014.
 
[15]  Sölvell, Ö., Clusters-Balancing Evolutionary and Constructive Forces, Ivory Tower Pub, Stockholm, 2009. 140 p.
 
[16]  Sölvell Ö., Lindqvist G., Ketels Ch. The Cluster Initiative Greenbook, Ivory Tower Pub, Stockholm, 2003. 94 p.
 
[17]  TACTICS Reflection group. Cluster internationalization handbook, Manchester Metropolitan University, Manchester, 2012. 50 p.
 
Show Less References

Article

Diagnosis of Conditions for the Formation of Innovation Clusters in Russian Regions: Mathematical and Statistical Approach

1Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia


International Journal of Econometrics and Financial Management. 2015, 3(1), 38-43
DOI: 10.12691/ijefm-3-1-7
Copyright © 2014 Science and Education Publishing

Cite this paper:
Miron A. Yagolnitser. Diagnosis of Conditions for the Formation of Innovation Clusters in Russian Regions: Mathematical and Statistical Approach. International Journal of Econometrics and Financial Management. 2015; 3(1):38-43. doi: 10.12691/ijefm-3-1-7.

Correspondence to: Miron  A. Yagolnitser, Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia. Email: miron@ieie.nsc.ru

Abstract

The methodical approach to the analysis of the spatial differentiation of conditions and factors in the development of innovative mesoeconomic systems (clusters) based on multi-dimensional classification of the resulting indicators in subspaces of overall economic efficiency of development of regions of the Russian Federation, the effectiveness of individual activities, the degree of development of small business and innovation indicators for regional development. The system of informative indicators for grouping regions on the resulting system gauges. In the resulting typologies tested the hypothesis of statistical significance of differences of quality characteristics of the institutional environment, the influence of factors of urbanization, etc.

Keywords

References

[1]  Bergman, E.M. and E.J. Feser, Industrial and Regional Clusters: Concepts and Comparative Applications, Regional Research Institute, WVU. 1999. [Online].
 
[2]  Available:http://rri.wvu.edu/WebBook/Bergman-Feser/contents.htm[Accessed March. 15, 2014].
 
[3]  Doeringer, P. and D. Terkla. Business Strategy and Cross-Industry Clusters. Economic Development Quarterly, 9 (3). 225-237. 1995.
 
[4]  Kutcenko, E.S.,The cluster approach to the development of innovative economy in the region. Thesis for the degree of candidate of economic sciences. Moscow, Federal State research institution "Council for the Study of Productive Forces" Russian Economic Development Ministry and the Russian Academy of Sciences, 2012. 235 p.
 
[5]  Markov, L.S., Yagolnitser, M.A.,“Clusters: formalizing the relationship in nonformalized structures. Publishing IEIE SB RAS, Novosibirsk. 2006. 195 p.
 
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[6]  Regions of Russia. The main characteristics of subjects of the Russian Federation by 2008. Statistical Yearbook, Moscow, 2008.
 
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Article

Impact of ADP on GDP in Bangladesh: A Cointegration Approach

1Lecturer in Economics, Chibbari M. A. Motaleb College, Satkania, Chittagong, Bangladesh

2Graduate Research Assistant, Department of Economics, South Dakota State University, Brookings, USA

3Professor, Departmentof Economics, University of Chittagong, Chittagong, Bangladesh


International Journal of Econometrics and Financial Management. 2015, 3(2), 44-56
DOI: 10.12691/ijefm-3-2-1
Copyright © 2015 Science and Education Publishing

Cite this paper:
Mahi Uddin, Niaz Murshed Chowdhury, Mudabber Ahmed. Impact of ADP on GDP in Bangladesh: A Cointegration Approach. International Journal of Econometrics and Financial Management. 2015; 3(2):44-56. doi: 10.12691/ijefm-3-2-1.

Correspondence to: Mahi  Uddin, Lecturer in Economics, Chibbari M. A. Motaleb College, Satkania, Chittagong, Bangladesh. Email: mahiecocu@gmail.com

Abstract

The main purpose of this paper is to introduce and interpret the relation between governments Annual Development Programme (ADP) and economic growth. ADP traditionally holds the main structure of Bangladesh economy. We consider ADP is the main determinant of Gross Domestic Product (GDP) in Bangladesh and also consider the Gross Capital Formation (GCF) for more reliable results. This paper uses various econometric tools where time series analysis is gained main focus to find out the proper result. According to our result, there is a positive impact of ADP on economic development. Findings point out that keeping the high level of public planning in Bangladesh together with improvement in institutional surroundings would be beneficial for economic growth. It has been widely documented that ADP can promote economic growth, when it is efficiently handled by the authority.

Keywords

References

[1]  Ahmed, H. A., Uddin, G. S. and Awrangajeb, N. U. H. (2010) “Growth, Public and Private Investment in Bangladesh: An Empirical Analysis” Conference paper on Business Competencies in a Changing Global Environment 2010, Organized by South East University, Dhaka, Bangladesh and Global Business and Management Forum (USA).
 
[2]  Ahmed, S. (2010), Problems of ADP Implementation in Bangladesh: An Analytical Review, A Dissertation Paper of MAGD, Institute of Governance Studies, BRAC University, Dhaka, Bangladesh.
 
[3]  Anderson, E., Renzio, P. de and Levy, S. (2006) “The role of public investment in poverty reduction: Theories, evidence and methods”, Working Paper 263, Overseas Development Institute, London SE 1 7 JD, UK.
 
[4]  Barro, R. J., and X. Sala-i-Martin, (1999) Economic Growth, Cambridge, MA: The MIT Press.
 
[5]  Benefits of public investment in the nations road infrastructure, Australian Automobile Association Report, Update of The Allen Consulting Group (1993) and DoTaRs (2002).
 
Show More References
[6]  Brinca, P. (2006) “The impact of public investment in Sweden a VAR approach” Msc thesis in Economics, Stockholm University, Stockholm, Sweden.
 
[7]  Bukhari, S. A., Ali, L. and Saddaqat, M. (2007) “Public investment and Economic Growth in the three little dragons: Evidence from heterogeneous dynamic panel data” International Journal of Business and Information, Volume 2, Number 1, June 2007, pp. 57-79.
 
[8]  Baltagi, Badi H., Kao, Chihwa. (2000): Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey, Center for Policy Research, WorskingPaper No. 16, New York.
 
[9]  Cavallo, E. and Daude, C. (2008) “Public investment in developing countries: a blessing or a curse?” Working paper number 648, Research Department, Inter-American Development Bank, Washington, DC 20577, USA.
 
[10]  Carter, R Hill, William e. Griffiths and Guay C. Lim, Principle of Econometrics, Fourth Edition, John Wiley & Sons, Inc., 111 River Street, Hoboken.
 
[11]  Clarida, R. H. (1993) “International capital mobility and Public investment and Economic growth” NBER Working Paper Series, Working Paper No. 4506, National Bureau of Economic Research, Cambridge, MA 02138.
 
[12]  Clements, B., Bhattacharya, R. and Nguyen, T. Q. (2003) “External debt, Public investment and Growth in low income countries” IMF Working Paper WP/03/249, Fiscal Affairs Department, International Monetary Fund.
 
[13]  Cullision, W. E. (1993) “Public investment and Economic Growth” Economic Quarterly, Volume 79/4 Fall 1993, Federal Reserve Bank of Richmond, pp. 19-33 Different reports of Implementation Monitoring and Evaluation Division (IMED), Bangladesh Government.
 
[14]  Costa, J. da Silva, R. W. Ellson, and R. C. Martin (1987) Public Capital, Regional Output and Developments: Some Empirical Evidence. Journal of Regional Science 27: 3, 419-437.
 
[15]  Deno, K. T. (1988) The Effect of Public Capital on U.S. Manufacturing Activity: 1970 to 1978. Southern Economic Journal 55: 1, 400-411.
 
[16]  Doan, T. A. (2000), Rats, User’s Guide, Estima, Evanston, IL.E-views users guide i and ii.
 
[17]  Eberts, R. W. (1986) Estimating the Contribution of Urban Public Infrastructure to Regional Growth. Federal Reserve Bank of Cleveland. (Working Paper No. 8610)
 
[18]  Fuller, W. A. (1976). Introduction to Statistical Time Series. New York: Willey.
 
[19]  Ghani, E. and Uddin, M. (2006) “The impact of Public investment on Economic Growth in Pakistan” The Pakistan Development Review, 45: 1 (Spring 2006) pp. 87-98.
 
[20]  Gonzalez, R. L. and Montolio, D. (2011) “Growth, Convergence and Public Investment A Bayesian Model Averaging Approach”.
 
[21]  Gerd S, Ana C, and Funke, K Public Investment and Public-Private Partnerships, International Monetary Fund, pp. 21-36.
 
[22]  Gregory, N Mankiw (2002), Economic Policy Institute, Briefing Paper # 34A, USA
Macroeconomics, 5th edition, Worth Publishers.
 
[23]  Gujarati, Damoder N. Basic Econometrics, Fourth Edition, McGraw-Hill Higher Education.
 
[24]  Haque, M. E. and Kneller, R. (2008) “Public investment and Growth : the rule of corruption” Discussion Paper Series Number 098, Centre for Growth & Business Cycle Research, University of Manshester, Manchester.
 
[25]  Hsiao, Cheng: Analysis of Panel Data, Second Edition, Cambridge University Press, New York, 2003.
 
[26]  http://en.wikipedia.org/wiki/Economy_of_Bangladesh#p-search 81
 
[27]  http://www.investorwords.com/2599/investment.html#ixzz1UQ8VvErw Hussain, Z. (2009) Is Bangladesh getting public investment right?, World Bank
 
[28]  Jimenz, E. (1995) “Human and physical infrastructure: public investment and pricing polices in developing countries” Hand book of development economics, PP. 2774-2836, Volume 3 Edited by J. Behrman and T. N. Srinivasan Elsevier Science B. V 1995.
 
[29]  “Investing in Public investment: An index of public investment efficiency” IMF Working Paper WP/11/37, Strategy, Policy and Review Department, International Monetary Fund.
 
[30]  James. B and Srinivasan, T.N B. V 1995 pricing polices in developing countries” Hand book of development economics, PP. 2774-2836, Volume 3 Elsevier Science B. V 1995.
 
[31]  kalaitzidakis, P. and kalyvitisy, S. (2003) “Financing New public investment and or maintenance in public capital for long run growth” Canadian Studies Program, Department of Foreign Affairs and International Trade, Canada.
 
[32]  Kamps, Christophe: The Dynamic Macroeconomic Effects of Public Capital, Theory and Evidence for OECD countries, Springer, New York, 2004.
 
[33]  Keynes, J. M &Kuttner, R. (1992) “The Collected Writings of John Maynard Keynes” Vol. xxvii, edited by D. Moggridge (London: Macmillan, 1980), pp. 264-419 “The slow growth trap and the public investment cure”.
 
[34]  Kappeler, A and Valila, T. (2007) “Composition of Public Investment and Fiscal Federalism: Panel Data Evidence from Europe” economics and financial report 2007/02, European investment bank.
 
[35]  Kuttner, R. (1992) “The slow growth trap and the public investment cure” The Economic Policy Institute, Briefing Paper # 34A, USA.
 
[36]  Uddin, M & Aziz, S (2014) Effect of Public Investment on Economic Growth in Bangladesh: An Econometric Analysis "Journal of Economics and Sustainable Development.
 
[37]  Naqvi, N. H. (2002) Crowding-in or Crowding out? Modeling the Relationship between Public and Private Fixed Capital Formation using Co-Integration Analysis, The Case of Pakistan 1964-2000. The Pakistan Development Review, 41: 3, 255-276.
 
[38]  Pal, S. (2008) “Does public investment boost economic growth? Evidence from an open economy macro model for India” Cardiff Economics Working Papers E2008/24, Cardiff CF10 3 EU, United Kingdom.
 
[39]  Pereira, A. M. and Pinho, M. D. F. (2006) “Public investment and budgetary consolidation in Portugal” Working Paper number 41, College of William & Mary, Department of Economics, Williamsburg, VA 23187-8795, USA.
 
[40]  Peree, E. and Valila, T. (2008) “A primer on public investment in Europe”.
 
[41]  Public Investment Draft Paper (May 2009), National 5-year plan (2010-2014), Public Investment Development Committee, Republic of Iraq.
 
[42]  Romer, Paul M. (1998) Increasing Returns and Long-run Growth, Journal of Political Economy 94: 5 (October), pp. 1002-1037 Sims, C. A. (1980a). “Macroeconomics and Reality” Econometrica, 48 (10), pp. 1-48.
 
[43]  Saad, W. and Kalakech, K. (2009) “The nature of government expenditure and its impact on sustainable economic growth” Middle Eastern Finance & Economics, Issue 4 (2009), EuroJournals Publishing, Inc. 2009, pp. 38-47.
 
[44]  Sims, C. A. (1980a). “Macroeconomics and Reality” Econometrica, 48 (10), pp. 1-48.
 
[45]  Sturm, J.E.: Public Capital Expenditures inOECD Countries: The Causes and Impact of the Decline in Public Capital Spending, Edward Elgar, Cheltenham, 1998.
 
[46]  The Daily Ittefaq (10 April 2011), Dhaka, Bangladesh.
 
[47]  Zainah, P. (2009) “The role of public investment in promoting economic growth: A case study of Mauritious” Services Sector Development and Impact on Poverty Thematic Working Group, TIPS Project, Trade and Industrial Policy Strategies, Pointes-Aux-Sables, Mauritius.
 
[48]  Zhang, X. and Fan, S. (2000) “Public investment and regional inequality in rural china” EPTD discussion paper no. 71, Washington, DC 20006 USA.
 
Show Less References

Article

The Impact of the Ownership Structure and the Quality of Financial Information on the Cost of Debt of Tunisian Firms

1Depatment of Finance, Higher Institute of Management of Sousse, University of Sousse, Tunisia

2Department of Economy, Faculty of Economic Sciences and Management of Sousse, University of Sousse, Tunisia


International Journal of Econometrics and Financial Management. 2015, 3(2), 57-63
DOI: 10.12691/ijefm-3-2-2
Copyright © 2015 Science and Education Publishing

Cite this paper:
Abdelkader Derbali, Manel Ben Ayeche. The Impact of the Ownership Structure and the Quality of Financial Information on the Cost of Debt of Tunisian Firms. International Journal of Econometrics and Financial Management. 2015; 3(2):57-63. doi: 10.12691/ijefm-3-2-2.

Correspondence to: Abdelkader  Derbali, Depatment of Finance, Higher Institute of Management of Sousse, University of Sousse, Tunisia. Email: derbaliabdelkader@outlook.fr

Abstract

The objective of this paper is to highlight the interaction of the board with other internal governance mechanisms such as ownership structure, the quality of financial reporting and the cost of debt. The relationship between the ownership structure and the quality of financial information on the one hand and the other debt cost was well treated in the financial literature. Tests conducted on a sample of 28 Tunisian firms show that the ownership structure and the quality of financial information plays an important role in determining the characteristics of the cost of debt. The results also indicate that the cost of debt is related to factors from the board, the size of the company and the stock exchange listing.

Keywords

References

[1]  Agrawal, A, and Mandelker, G. (1992). Shark repellents and the role of institutional investors in corporate governance. Managerial and Decision Economics, 13, 15-22.
 
[2]  Agrawal, A. and Mandelker, G. (1990). Large shareholders and the monitoring of managers, the case of antitakeover charter amendment. Journal of Financial and Quantitative analysis, 25, 143-167.
 
[3]  Alexandre, H. and Paquerot, M. (2000). Efficacité des structures de contrôle et enracinement des dirigeants. Finance Contrôle Stratégie, 3, 2, 5-29.
 
[4]  Bathala, C. and Rao, R. (1995). The determinants of Board composition: an agency perspective. Managerial and Decision Economics, 19, 59-69.
 
[5]  Boyd, B. (1995). CEO duality and firm performance: a contingency model. Strategic Management Journal, 16, 301-312.
 
Show More References
[6]  Caby, J. and Hirigoyen, G. (2001). La création de valeur de l’entreprise, 2ème édition, Economica, Paris, p. 197.
 
[7]  Charreaux, G. and Pitol-Belin, J.P. (1990). Le conseil d'administration, VUIBERT.
 
[8]  Core, J., Holthausen, R. and Larcker, D. (1999). Corporate governance, CEO compensation and firm performance. Journal of Financial Economics, 51, 371-406.
 
[9]  Dalton, D., Daily, C., Ellstrand, A. and Johnson, J. (1999). Number of directors and financial performance: A meta-analysis. Academy of Management Journal, 42, 674-686.
 
[10]  Demsetz, H. (1983). The structure of ownership and the theory of the firm. Journal of Law and Economics, 26, 375-390.
 
[11]  Denis, D. and Sarin, A. (1999). Ownership and board structures in publicly traded corporations. Journal of Financial Economics, 52, 187-223.
 
[12]  Eisenberg, T., Sundgren, S. and Wells, M. (1998). Larger board size and decreasing value in small firms. Journal of Financial Economics, 48, 35-54.
 
[13]  Fama, E. and Jensen, M. (1983). Separation of ownership and control. Journal of Law and Economics, 26, 301-326.
 
[14]  Fernandez, C. and Arrondo, R. (2005). Alternative internal controls as substitute of the board of directors. Corporate governance: an international review, 13, 6, 856-866.
 
[15]  Godard, J. (2001). Beyond the High Performance Paradigm? An Analysis of Managerial Perceptions of Reform Program Effectiveness. British Journal of Industrial Relations, 38, 25-52.
 
[16]  Godard, L. (1998). Les déterminants du choix entre un conseil d’administration et un conseil de surveillance. Finance Contrôle Stratégie, 1, 4, 39-61.
 
[17]  Godard, L. and Schatt, A. (2000). Faut-il limiter le cumul des fonctions dans les conseils d’administration?. La revue du Financier, 127, 36-47.
 
[18]  Grossman, S. J. and Hart, O. D. (1982). Corporate Financial Structure and Managerial Incentives. The Economics of Information and Uncertainty, McCall, J.J. (ed.), University of Chicago Press.
 
[19]  Harris, M. and Raviv, A. (1991). The theory of Capital Structure. Journal of Finance, 46, 297-355.
 
[20]  Hermalin, B. and Weisbach, M. (1988). The Determinants of Board Composition. RAND Journal of Economics, 19 (4), 589-606.
 
[21]  Hermalin, B. and Weisbach, M. (1991). The Effects of Board Composition and Direct Incentives on Firm Performance.” Financial Management, 20 (4), 101-112.
 
[22]  Jensen M. C. and Meckling, W. H. (1976). Theory of the Firm: Managerial Behavior, Agency Costs and Ownership Structure. Journal of Financial Economics, 3, 305-360.
 
[23]  Jensen, M. (1993). The modern industrial revolution, exit and the failure of internal control systems. Journal of Finance, 48, 831-880.
 
[24]  Jensen, M. C. and Meckling, W. H. (1976). Theory of the firm: managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3.
 
[25]  Leland, H. and Pyle, D. (1977). Informational Asymetries, Financial Structure, and Financial Intermediation. Journal of Finance, 32 (2), 371-384.
 
[26]  Lipton, M. and Lorsch, J. (1992). A modest proposal for improved corporate governance. Business Lawyer, 59, 59-77.
 
[27]  Mak, Y. and Ong, P. 1999. Changes in ownership structure and board structure after an initial public offering, online at: http://papers.ssrn.com.
 
[28]  Minow, N. and Bingham, K. (1995). The Ideal Board. Corporate Governance, Blackwell Publishers, Cambridge, Massachusetts.
 
[29]  Patton, A. and Baker, J. (1987). Why do not directors rock the boat?. Harvard Business Review, 65, 10-12.
 
[30]  Pearce, J. and Zahra, S. (1992). Board composition from a strategic contingency perspective. Journal of Management Studies, 29, 411-438.
 
[31]  Rediker, K., and Seth, A. (1995). Boards of directors and substitution effects of alternative governance mechanisms. Strategic Management Journal, 16, 85-99.
 
[32]  Shleifer, A. and Vishny, R. (1986). Large shareholders and corporate control. Journal of Political Economy, 94, 461-479.
 
[33]  Stulz, R. (1990). Managerial discretion and optimal financing policies. Journal of Financial Economics, 26, 3-27.
 
[34]  Yermack, D. (1996). Higher market valuation of companies with a small board of directors. Journal of Financial Economics, 40, 185-211.
 
Show Less References

Article

Dependence between Non-Energy Commodity Sectors Using Time-Varying Extreme Value Copula Methods

1Faculty of Economics and Management sciences, University of Sfax, Tunisia


International Journal of Econometrics and Financial Management. 2015, 3(2), 64-75
DOI: 10.12691/ijefm-3-2-3
Copyright © 2015 Science and Education Publishing

Cite this paper:
Zayneb Attaf, Ahmed Ghorbel, Younes Boujelbène. Dependence between Non-Energy Commodity Sectors Using Time-Varying Extreme Value Copula Methods. International Journal of Econometrics and Financial Management. 2015; 3(2):64-75. doi: 10.12691/ijefm-3-2-3.

Correspondence to: Zayneb  Attaf, Faculty of Economics and Management sciences, University of Sfax, Tunisia. Email: attafi.zeineb@hotmail.fr

Abstract

In this work, our objective is to study the intensity of dependence between six non-energy commodity sectors in a bivariate context. Our methodology is to chose, in a first step, the appropriate copula flowing Akaike criteria. In a second step, we aim to calculate the dependence coefficients (Kendall’s tau, Spearman’s rho and tail dependence) using filtered data by the AR(1)-GARCH(1.1) model to study the dependence between the extreme events. Empirical results show that dependence between non-energy commodity markets increases during volatile periods but they offer many opportunities to investors to diversify their portfolio and reduce their degree of risk aversion in bearish market periods.

Keywords

References

[1]  Aloui,R., Ben Aïssa, M.S., & Nguyen, D.K. (2014). Market risk in agricultural commodity markets: a wavelet-based copula modeling approach. Working Paper, 412, Department of Research, Ipag Business School.
 
[2]  Arezki,R., Dumitrescu,E., Freytag,A & Quintynd,M. (2014). Commodity prices and exchange rate volatility: Lessons from South Africa's capital account liberalization. Journal of Emerging Markets Review, 19, 96-105.
 
[3]  Baffes John. (2007). Oil spills on others commodities. Journal of Resources Policy, 32, 126-134.
 
[4]  Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31, 307-327.
 
[5]  Ciner, C. (2001). On the long run relationship between gold and silver prices: A note. Global Finance Journal, 12, 299-303.
 
Show More References
[6]  Chkili, W,. Hammoudeh, S. & Nguyen, D. K. (2014). Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory. Journal of Energy Economics, 41, 1-18.
 
[7]  Chuanguo Zhang & Xiaoqing Chen. (2013). The impact of global oil price shocks on China’s bulk commodity markets and fundamental industries. Journal of Energy Policy. In press.
 
[8]  Choi, K and Hammoudeh, S. (2010). Volatility behavior of oil, industrial commodity and stock markets in a regime-switching environment. Journal of Energy Policy, 38, 4388-4399.
 
[9]  Chong, J. and Miffre, J. (2010). Conditional correlation and Volatility in Commodity Futures and Traditional Asset Markets. Journal of Alternative Investments, 61-75.
 
[10]  Delatte Anne-Laure & Lopez Claude. (2013). Commodity and equity markets: Some stylized facts from a copula approach. Journal of Banking & Finance, 37, 5346-5356.
 
[11]  Erb, C.B., Harvey, C.R. (2006). The strategic and tactical value of commodity futures. Financial Analysts Journal, 62, 69-97.
 
[12]  Engle, R.F. (1982). Autoregressive Conditional Heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50, 987-1007.
 
[13]  Forbes, K., & Rigobon, R. (2002). No contagion, only interdependence: measuring stock market comovements. Journal of Finance, 57, 2223-2261.
 
[14]  Greer, R. (2000). The nature of commodity index returns. Journal of Alternative Investments, 45-53.
 
[15]  Gorton, G.B., Rouwenhorst, G.K. (2006). Facts and fantasies about commodity futures. Financial Analysts Journal 62, 47-68.
 
[16]  Genest, C., Quessy, J,F., & Rémillard, B. (2006). Goodness-of-fit procedures for copula models based on the probability integral transformation. Scandinavian Journal of Statistics, 33, 2, 337-366.
 
[17]  Hammoudeh, S., Malik, F., & McAleer, M. (2011). Risk management of precious metals. The Quarterly Review of Economics and Finance, 51, 435-441.
 
[18]  Hammoudeh, S., & Yuan, Y. (2008). Metal volatility in presence of oil and interest rate shocks. Journal of Energy Economics, 30, 2, 606-620.
 
[19]  Juan C. Reboredo. (2013). Is gold a hedge or safe haven against oil price movements?. Journal of Resources Policy, 38, 130-137.
 
[20]  Kantaporn, C,. Aree, W,. Songsak, S. & Chukiat, C. (2012). Application of Extreme Value Copulas to Palm oil prices analysis. Journal of Business Management Dynamics, 2, 1, 25-31.
 
[21]  Li Liu. (2014). Cross-correlations between crude oil and agricultural commodity markets. Journal of Physica A, 395, 293-302.
 
[22]  Leybourne, S.J., Lloyd, T.A., and Reed, G.V. (1994). The excess Co-movement of Commodity Prices Revisited. World Development, 22, 11, 1747-1758.
 
[23]  Mensi,W., Hammoudeh,S., Nguyen, D.K &Yoon,S.M. (2014). Dynamic spillovers among major energy and cereal commodity prices. Journal of Energy Economics, 43, 225-243.
 
[24]  Mensi,W,. Beljid,M,. Boubaker,A., & Managi,S. (2013). Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold. Journal of Economic Modelling, 32, 15-22.
 
[25]  Nazlioglu, S,. Erdem, C and Soytas, U. (2013). Volatility spillover between oil and agricultural commodity markets. Journal of Energy Economics, 36, 658-665.
 
[26]  Nazlioglu S. (2011). World oil and agricultural commodity prices: Evidence from nonlinear causality. Journal of Energy Policy, 39, 2935-2943.
 
[27]  Patton, A.J. (2007), Estimation of Multivariate Models for Time Series of Possibly Different Lengths, Journal of Applied Econometrics, 21, 2, 147-173.
 
[28]  Palaskas, T.B., and Varangis, P.N. (1991). Is there Excess Co-movement of primary commodity prices?: A cointegration test. Working paper series, 758, International Economie Department, The World Bank.
 
[29]  Pindyck, R.S., and Rotemberg, J.J. (1990). The Excess Co-Movement of Commodity Price. The Economic Journal, 100, 403, 1173-1189.
 
[30]  Power,G.J., Vedenov.D.V., Anderson,D.P., & Klose, S. (2013). Market volatility and the dynamic hedging of multi-commodity price risk. Applied Economics, 45, 3891-3903.
 
[31]  Qiang Ji and Ying Fan. (2012). How does oil price volatility affect non-energy commodity markets?. Journal of Applied Energy, 89, 273-280.
 
[32]  Saban Nazlioglu & Ugur Soytas. (2012). Oil price, agricultural commodity prices, and the dollar: A panel cointegration and causality analysis. Journal of Energy Economics, 34, 1098-1104.
 
[33]  Sadorsky P. (2014). Modeling volatility and correlations between emerging market stock prices and the prices of copper, oil and wheat. Journal of Energy Economics, 43, 72-81.
 
[34]  Śmiech, S., & Papież, M. (2012). A dynamic analysis of causality between prices on the metals market. In: Reiff, M. (Ed.), Proceedings of the International Conference Quantitative
 
[35]  Methods In Economics (Multiple Criteria Decision Making XVI), Bratislava: Slovakia, 221-225.
 
[36]  Reboredo J.C. (2012). Do food and oil prices co-move?. Journal of Energy Policy,49, 456-467.
 
[37]  Sklar, A. (1959). Fonctions de répartition à n dimensions et leurs marges, Vol. 8, pp. 229-231, Publications de l’Institut de Statistique de L’Université de Paris.
 
[38]  Viviana Fernandez. (2014). Linear and non-linear causality between price indices and commodity prices. Journal of Resources Policy, 41, 40-51.
 
[39]  Wang,Y., Wu, C and Yang, L. (2014). Oil price shocks and agricultural commodity prices. J Energy Economics, 44, 22-35.
 
Show Less References

Article

Dynamic Patterns of Structural Change and Economic Growth during the High Growth Regime in India: A Panel Data Analysis

1Department of Economics, Government College Jaitaran (Raj), INDIA


International Journal of Econometrics and Financial Management. 2015, 3(2), 76-83
DOI: 10.12691/ijefm-3-2-4
Copyright © 2015 Science and Education Publishing

Cite this paper:
M. R. Singariya. Dynamic Patterns of Structural Change and Economic Growth during the High Growth Regime in India: A Panel Data Analysis. International Journal of Econometrics and Financial Management. 2015; 3(2):76-83. doi: 10.12691/ijefm-3-2-4.

Correspondence to: M.  R. Singariya, Department of Economics, Government College Jaitaran (Raj), INDIA. Email: mr.singariya@gmail.com

Abstract

Using panel data collected from the CSO for thirty two states and UTs of India for the recent period of 2004-05 to 2013-14 at the constant 2004-05 prices, the present paper highlights the effect of structural change on economic growth. We examine these relationships in an augmented Chenery-Syrquin Model, and test whether the high income states, EAG (Empowered Action Group) States and high densely states have had any structural impact and what type of structural trends have been adopted by the economy in such a high growth period. Results of random effect model show that any increases in the shares of manufacturing sector and industrial sectors (mining and Quarrying, manufacturing and construction) have significant positive effect on economic growth (Income Coefficient), while the patterns of industrial sector has significant positive effects on population density (Size Coefficient). However, the coefficient of population density is insignificant yet positive for manufacturing orientation. These relationships suggest that most densely populated states can achieve economies of scale, resource endowments and scale of domestic demand easily and hence population density plays an important role in the patterns of industrial and manufacturing development. The time trend seems to have significant negative association with industrial orientation and dummy for high income states has significant positive association with service sector and significant negative association with agriculture and manufacturing sectors.

Keywords

References

[1]  Bhatacharya, B.B. and A Mitra (1997): “Changing Composition of Employment in Tertiary Sector: A Cross Country Analysis”, Economic and Political Weekly, 21 March, Vol. 32, 529-34.
 
[2]  Blecker, R.A., 2009. External shocks, structural change and economic growth in Mexico, 1979-2007. World Development 37, 1274-1284.
 
[3]  Chenery, Hollis B., “Patterns of Industrial Growth,” American Economic Review, Vol. 50, No. 3 (September 1960), pp. 624-54.
 
[4]  Chenery, Hollis B. and Lance Taylor, “Development Patterns: Among Countries and Over Time,” Review of Economics and Statistics, Vol. 50, No. 4 (November 1968), pp. 391-416.
 
[5]  Chenery, Hollis B. and Moises Syrquin, Patterns of Development: 1950-1970 (New York: Oxford University Press for the World Bank, 1975).
 
Show More References
[6]  Elhiraika, A. B. (2008). Promoting manufacturing to accelerate economic growth reduce volatility in Africa. Paper prepared at the African Economic Conference, jointly organized by the African Development Bank and UNECA in Tunis, Tunisia.
 
[7]  Kalirajan, K. (2004). “Economic reforms and the transmission of growth impulses across Indian states”, International Journal of Social Economics, 31 (5/6), 623-636.
 
[8]  Keesing, D.B. and Sherk, D.R> (1971), “Population Density in Patterns of Trade and Development”, American Economic Association, 61(5):956-961.
 
[9]  Kuznets, S. (1966), Modern Economic Growth: Rate, Structure and Spread, New Delhi, Oxford and IBH Publishing Co.
 
[10]  Libanio, G. (2006). Manufacturing industry and economic growth in Latin America: A Kaldorian approach. CEDEPLAR, Brazil: Federal University of Minas Gerais.
 
[11]  Linden, M. and T. Mahmood, (2007), Long run relationships between sector shares and economic growth: A panel data analysis of the schengen region. Economics and Business administration University of Joensuu, Finland Nachane, D.M., S.D. Sawant& C.V. Achuthan, (1989), Agriculture and industry: A study of selected linkages. Indian J. Agric. Econ., 44: 140-149.
 
[12]  Syrquin, Moshe and Hollis B. Chenery, “Patterns of Development, 1950 to 1983,” World Bank Discussion Papers, No. 41 (Washington, D.C.: World Bank, 1989)
 
[13]  Syrquin, Moshe, Lance Taylor, and Larry E. Westphal (eds.), Economic Structure and Performance: Essays in Honor of Hollis B. Chenery (Orlando: Academic Press, 1984).
 
[14]  Wang, S., & Li, D. (2010) “A empirical analysis on the relationship between service industry and economic growth”, Proceedings of 2010 International Conference on Industry Engineering and Management.
 
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