اثرات بلندمدت و کوتاه‌مدت فضایی نابرابری درآمدی بر بهره‌وری کل عوامل تولید: شواهدی از استان‌های ایران

نوع مقاله : مقاله پژوهشی

نویسندگان

استادیار گروه اقتصاد، واحد فیروزکوه، دانشگاه آزاد اسلامی، فیروزکوه، ایران

چکیده

هدف این پژوهش برآورد اثرات کوتاه‌مدت و بلندمدت فضایی نابرابری درآمدی بر بهره‌وری کل صنعتی در استان‌های ایران می‌باشد. بدین‌منظور از داده‌های پانل 31 استان ایران در دوره 98-1390 استفاده شد. ابتدا شاخص بهره‌وری کل مالم‌کوئیست با روش تحلیل پوششی داده‌ها برآورد شد؛ سپس اثرات بلندمدت و کوتاه‌مدت نابرابری درآمدی بر TFPدر قالب مدل‌های اقتصادسنجی فضایی ایستا و پویا ارزیابی گردید. یافته‌ها نشان می‌دهد اثر منفی نابرابری درآمدی بر بهره‌وری کل در بلندمدت به‌صورت محلی تأیید می‌شود، اما اثرات سرریز فضایی آن پایدار نیست. با توجه به نتایج اثر کل بلندمدت، نابرابری بر بهره‌وری کل صنعتی در بلندمدت اثر منفی و معنادار دارد. در کوتاه‌مدت، در مدل وقفۀ فضایی (SAR) اثرات محلی نابرابری بر TFP منفی و معنادار است، اما در مدل دوربین فضایی (SDM) این اثر منفی و غیرمعنادار است. اثرات کوتاه‌مدت سرریز فضایی و کل نابرابری درآمدی بر بهره‌وری کل صنعتی در مدل وقفۀ فضایی منفی و معنادار است، اما در مدل دوربین فضایی مثبت و غیرمعنادار است. درمجموع، با توجه به نتایج کوتاه‌مدت و بلندمدت، افزایش نابرابری درآمدی در استان‌های ایران اثر منفی و معنادار بر TFP در بلندمدت دارد.  

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Long-Run and Short-Run Income Inequality Spatial Effects on Total Factor Productivity: Iran’s Provinces Evidence

نویسندگان [English]

  • Mehdi Fathabadi
  • Masuod Soufimajidpour
Assistant Professor, Department of Economic, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
چکیده [English]

The purpose of this article is to estimate the short-run and long-run income inequality effects on the industrial total factor productivity in the provinces of Iran. For this purpose, panel data of 31 provinces of Iran are used for the period of 2011-2019. First, Malmquist’s total productivity index was estimated by data envelopment analysis. Then, the long-run and short-run effects of income inequality on TFP were evaluated by static and dynamic spatial econometric models. The findings show that the negative effect of income inequality on total productivity is locally confirmed in the long-run, but its spatial spillover effects are not sustainable. According to the results of the long-run total effect, inequality has a negative and significant effect on the industrial total productivity in the long-run. In the short-run, in the spatial lagged model (SAR), the inequality local effects on TFP are negative and significant, but in the spatial durbin model (SDM), this effect is negative and insignificant. The short-run spatial spillover and total effects of income inequality on industrial total productivity are negative and significant in the spatial lagged model, but positive and insignificant in the spatial durbin model. In sum, according to the short-run and long-run results, the increase in income inequality in Iran’s provinces has a negative and significant effect on TFP in the long-run.

کلیدواژه‌ها [English]

  • Income inequality
  • Total Productivity
  • Spatial Spillover Effects
  • Iran’s Provinces
- طرح آمارگیری از کارگاه‌های صنعتی ۱۰ نفر کارکن و بیشتر، سال‌های مختلف، مرکز آمار ایران.
- بانک داده‌های اقتصادی و مالی، وزارت امور اقتصادی و دارایی. https://databank.mefa.ir
 
- Akerlof, G. & Yellen, J., (1990). “The fair wage-effort hypothesis and unemployment”. Quarterly Journal of Economics, 55: 255–283. https://doi.org/10.2307/2937787
- Alesina, A. & Perotti, R., (1996). “Income distribution, political instability and investment”. European Economic Review, 40(6): 1203–1228. https://doi.org/10.1016/0014-2921(95)00030-5.
- Alesina, A. & Rodrik, D., (1994). “Distributive politics and economic growth”. Quarterly Journal of Economics, 109(2): 465–490. https://doi.org/10.2307/2118470.
- Atkinson, A., (1999). “Is rising income inequality inevitable? A critique of the transatlantic consensus”. In: WIDER annual lecture. University of Oslo, Norway. https://doi.org/10.51952/9781847425560.ch002.
- Autor, D.; Katz, L. F. & Kearney, M. S., (2006). “The polarization of the U.S. labour market”. American Economic Review, 96(2): 189–194. doi: 10.1257/000282806777212620.
- Barros, C. P.; Barroso, N. & Borges, M. R., (2005). “Evaluating the efficiency and productivity of insurance companies with a Malmquist index: A case study for Portugal”. The Geneva Papers on Risk and Insurance-Issues and Practice, 30(2): 244-267. https://doi.org/10.1057/palgrave.gpp.2510029.
- Bourguignon, F., (2004). “The poverty-growth-inequality triangle”. Working Paper 125, Indian Council for Research on International Economic Relations. New Delhi. http://hdl.handle.net/10419/176147.
- Braverman, A. & Stiglitz, J. E., (1989). “Credit rationing, tenancy, productivity, and the dynamics of inequality (English)”. Policy, Planning and Research Department working papers; no. WPS 176. Washington, DC: World Bank. https://doi.org/10.1093/0198287623.003.0009.
- Cai, F., (2013). “How can Chinese economy achieve the transition toward total factor productivity growth”. Soc. Sci. China, 1: 56-71.
- Card, D. & DiNardo, J. E., (2002). “Skill-biased technological change and rising wage inequality: Some problems and puzzles”. Journal of Labour Economics, 20(4): 733–783. https://doi.org/10.1086/342055.
- Caves, D. W.; Christensen, L. R. & Diewert, W. E., (1982). “The economic theory of index numbers and the measurement of input, output, and productivity”. Econometrica: Journal of the Econometric Society, 1393-1414. https://doi.org/10.2307/1913388.
- Chen, H. L. & Qin, W. F., (2014). “Inclusive growth in China: a perspective from the change of inclusive total factor productivity”. China Industrial Economics, 1: 18-30.
- Clarke, G., (1995). “More evidence on income distribution and growth”. Journal of Development Economics, 47: 403–427. https://doi.org/10.1016/0304-3878(94)00069-O.
- Cornia, G. & Court, J., (2001). Inequality, growth and poverty in the era of liberalization and globalization. Policy Brief 4, Helsinki: UN University, World Institute for Development Economics Research.
- Deininger, K. & Squire, L., (1998). “New ways of looking at old issues in equality and growth”. Journal of Development Economics, 57(2): 259–287. https://doi.org/10.1016/S0304-3878(98)00099-6.
- DiPietro, R., (2014). “Productivity growth and income inequality”. Journal of Economics and Development Studies, 2(3): 01–08. http://dx.doi.org/10.15640/jeds.v2n3a1.
- Economic and Financial Databank of Iran, Ministry of Economic Affairs and Finance, https://databank.mefa.ir.
- Elhorst, J. P., (2010). “Spatial panel data models”. In: M. Fischer & A. Getis (Eds.), Handbook of applied spatial analysis (Pp: 377–407). Berlin: Springer. doi:10.1007/978-3-642-03647-7_19.
- Elhorst, J., (2014b). Spatial econometrics: From cross-sectional data to spatial panels. Heidelberg: Springer. https://doi.org/10.1007/978-3-642-40340-8.
- Fan, J. S.; Yu, X. F. & Zhou, L., (2018). “Urbanization, urban-rural gap and inclusive growth in China”. J. Quant. Tech. Econ, 4: 41-60.
- Färe, R.: Grosskopf, S.: Norris, M. & Zhang, Z., (1994). “Productivity growth, technical progress, and efficiency change in industrialized countries”. The American economic review: 66-83. https://www.jstor.org/stable/2117971.
- Findings On Survey of Manufacturing Establishments With 10 and More Workers, different years, Statistics Center of Iran.
- Forbes, K., (2000). “A reassessment of the relationship between inequality and growth”. American Economic Review, 90(4): 869–887. doi: 10.1257/aer.90.4.869.
- Frank, M., (2008). “Inequality and growth in the United States: Evidence from a new state-level panel of income inequality measures”. Western Economic Association International, 47(1): 55–68. https://doi.org/10.1111/j.1465-7295.2008.00122.x.
- Freeman, R. B. & Medoff, J. L., (1984). What do unions do?. New York: Basic Books. https://scholar.harvard.edu/freeman/publications/what-do-unions-do.
- Fuentes, R.; Mishrab, T.; Scaviac, J. & Parhi, M., (2014). “On optimal long-term relationship between TFP, institutions, and income inequality under embodied technical progress”. Structural Change and Economic Dynamics, 31: 89–100.‌ https://doi.org/10.1016/j.strueco.2014.08.003.
- Hanson, K. & Rose, A., (1997). “Factor productivity and income inequality: A general equilibrium analysis”. Applied Economics, 29(8): 1061–1071. https://doi.org/10.1080/000368497326453.
- Galor, O. & Tsiddon, D., (1997). “The distribution of human capital and economic growth”. Journal of Economic Growth, 2(1): 93–124. https://doi.org/10.1023/A:1009785714248.
- Hassler, J. & Mora, J., (2000). “Intelligence, social mobility and growth”. American Economic Review, 90: 888–908. doi: 10.1257/aer.90.4.888.
- Isaksson, A., (2007). “Determinants of total factor productivity: A literature review”. UNIDO Staff Working Paper, 02. Vienna: Research and Statistics Branch, United Nations Industrial Development Organization. https://www.academia.edu/download/77657858/Determinants_of_Total_Factor_Productivit20211229-26437-12q8kht.pdf.
- Kim, C. & Sakamoto, A., (2008). “Does inequality increase productivity? Evidence from US manufacturing industries, 1979 to 1996”. Work and Occupations, 35(1): 85–114. https://doi.org/10.1177/0730888407311975.
- LeSage, J. P. & Pace, R. K., (2009). Introduction to spatial econometrics. New York: CRC Press. https://doi.org/10.4000/rei.3887.
- Li, H. & Zou, H., (1998). “Income inequality is not harmful for growth: theory and evidence”. Review of Development Economics, 2(3): 318–334. https://doi.org/10.1111/1467-9361.00045.
- Lu, J.; Liu, X.; Wright, M. & Filatotchev, I., (2014). “International experience and FDI location choices of Chinese firms: The moderating effects of home country government support and host country institutions”. Journal of International Business Studies, 45(4): 428-449. https://doi.org/10.1057/jibs.2013.68.
- Mahy, B.; Rycx, F. & Volral, M., (2011). “Wage dispersion and firm productivity in different working environments”. British Journal of Industrial Relations, 49(3): 460–485. https://doi.org/10.1111/j.1467-8543.2009.00775.x.
- Malmquist, S., (1953). “Index numbers and indifference surfaces”. Trabajos de estadística, 4(2): 209-242. https://doi.org/10.1007/BF03006863.
- Neumark, D. & Simpson, H., (2015). “Place-based policies”. In: Handbook of regional and urban economics, 5: 1197-1287, Elsevier. https://doi.org/10.1016/B978-0-444-59531-7.00018-1.
- Ngepah, N., (2016). In search of bad inequalities for growth and appropriate policy choices for their reduction in Africa. United Nations: Overseas Development Institute. http://southernvoice.org/wp-content/uploads/2016/10/In-search-of-bad-inequalities-for-growth-and-appropriate-policy-choices-for-their-reduction-in-Africa.pdf.
- Pede, V. O.; Barboza, G.; Sparks, A. H. & McKinley, J., (2018). “The inequality-growth link revisited with spatial considerations: The case of provinces in the Philippines”. Journal of the Asia Pacific Economy, 23(3): 411–427. https://doi.org/10.1080/13547860.2018.1503765.
- Persson, T. & Tabellini, G., (1994). “Is inequality harmful for growth?”. American Economic Review, 84(3): 600–621. doi: 10.3386/w3599.
- Piketty, T.; Saez, E.; Zucman, G.; Alvaredo, F. & Chance, L., (2018). World inequality report 2018. Post-Print halshs-01885458, HAL. https://wir2018.wid.world/.
- Risso, W. A. & Carrera, E. S., (2019). “On the impact of innovation and inequality in economic growth, economics of innovation and new technology”. Taylor & Francis Journals, 28(1): 64–81. https://doi.org/10.1080/10438599.2018.1429534.
- Solt, F., (2016). “The standardized world income inequality database”. Social science quarterly, 97(5): 1267-1281. https://doi.org/10.1111/ssqu.12295.
- Todaro, M. P., (1969). “A model of labor migration and urban unemployment in less developed countries”. The American economic review, 59(1): 138-148. https://www.jstor.org/stable/1811100.
- Zhang, L. & Li, J., (2016). “Theoretical Relationship and Empirical Analysis of Income Distribution and Economic Growth”. Management World, (11):1–10.