بررسی اثر تفاوت در ساختار اقتصاد بر تفاوت‌ اشتغال بین استان‌ها: رهیافت تحلیل تجزیه ساختاری فضایی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناس‌ارشد گروه اقتصاد دانشکده مدیریت و اقتصاد دانشگاه سیستان و بلوچستان، زاهدان، ایران

2 دانشیار گروه اقتصاد دانشکده مدیریت و اقتصاد دانشگاه سیستان و بلوچستان، زاهدان، ایران

10.48308/jem.2024.236217.1930

چکیده

هدف این مطالعه بررسی اثر تفاوت در ساختار اقتصاد بین استان‌های مختلف کشور با میانگین کشور بر تفاوت‌ اشتغال در بین آن‌ها است. برای این منظور از تکنیک تجزیه ساختاری فضایی در الگوی داده- ستانده بین دو منطقه استفاده شده است و اثر سه عامل تفاوت در ساختار تکنولوژیکی تولید (یا روابط بین بخشی)، تفاوت در ضرایب اشتغال (اشتغال به ازای هر واحد تولید) و تقاضای نهایی بر تفاوت اشتغال در مناطق مختلف مورد بررسی قرار گرفته است. نتایج مطالعه نشان داده است که اثر تفاوت در تقاضای نهایی استان‌ها سهم و اثر بیشتری از نظر قدرمطلق در تفاوت اشتغال بین مناطق به جز استان‌های کرمان، آذربایجان غربی، بوشهر، هرمزگان، گیلان و البرز دارد. بر این اساس تقاضای نهایی، در 8 استان اثر مثبت و در 23 استان اثر منفی داشته است. استان «تهران» بیشترین اثر مثبت و استان چهارمحال بختیاری بیشترین اثر منفی نسبت به میانگین کشور را تجربه کرده‌اند. اثر تفاوت در ضرایب اشتغال در 22 استان مثبت و در 9 استان دیگر منفی است. اثر تغییر روابط بین بخشی در 7 استان مثبت بوده و موجب بیشتر بودن اشتغال این استان‌ها نسبت به میانگین کشور شده است. بیشترین اثر مثبت هر سه عامل بر بخش «سایر صنایع» (همه صنایع به جز غذایی و پوشاک و منسوجات) است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Investigating the Effect of Differences in Economic Structure on Employment Differences among Provinces: Spatial Structural Decomposition Analysis Approach

نویسندگان [English]

  • Nastaran Boolagh 1
  • Ramezan Hosseinzadeh 2
1 M.A in Economics, Faculty of Management and Economics, University of Sistan and Baluchestan, Zahedan, Iran
2 Associate Professor of Economics, Faculty of Management and Economics,, University of Sistan and Baluchestan, Zahedan, Iran
چکیده [English]

The purpose of this study is to investigate the effect of the difference in the economic structure among different provinces of the country with the average of the country on the difference of employment among the regions. For this purpose, the technique of spatial structural decomposition analysis has been used in the input-output model between the two regions and the effect of three factors: difference in the technological structure of production or inter-sectoral relations, the difference in employment coefficients (employment per unit of production) and final demand. The results of the study have shown that the effect of the difference in the final demand of the regions has a greater contribution (absolute value) in the employment difference except the regions of Kerman, West Azerbaijan, Bushehr, Hormozgan, Gilan and Alborz. The difference in the final demand has a positive effect in 8 provinces and a negative effect in 23 provinces. Tehran province has experienced the most positive effect and Chahar Mahal Bakhtiari province has experienced the most negative effect compared to the country's average. The effect of difference in employment coefficients is positive in 22 provinces and negative in 9 other provinces. Inter-sectoral relations have been positive in 7 provinces and have caused more employment in these provinces than the average of the country. The most positive effect of all three factors is in sector of "other industries"(All industries except food, clothing and textiles).

کلیدواژه‌ها [English]

  • Employment
  • Spatial Structural Analysis
  • Input-Output Table
  • Azizmohammadlou, H. (2017). Elasticity of Substitution, Return to Scale and Efficacy of Investment in Job Creation in Agricultural Sector. Journal of Agricultural Economics and Development, 30(4), 308-322 (In Persian).
  • Baranpour N., Hasanvand D., Nademi, Y., & Tarahomi, F. (2023). Examining the Role of Financial Intermediation in the Production and Employment of Iran's Economy Using the Expanding Extraction Approach. Qjerp, 31(106), 45-81 (In Persian).
  • Bazzazan, F. & Azaddana, F. (2018). The Economic Impact of Domestic Tourism Qom (Two Regional Input-Output Approach). Journal of Tourism Planning and Development, 7(25), 8-24 (In Persian).
  • Bazzazan, F. (2011). Output, Employment and Income Multipliers in the Two-Region Interregional Case. Quarterly Journal of Quantitative Economics (JQE), 8(2), 151-178 (In Persian).
  • Bazzazan, F., Banooi, A.A. & Karami, M. (2009). Spillover and Feedback Effects in a Two- Region Input-Output Framework- the Case of Tehran Province and the Rest of the Economy. Iranian Journal of Economic Research, 13(39), 29-52 (In Persian).
  • Bhattacharya, T. & Rajeev, M. (2014). Identifying Employment Creating Sectors in India: An Analysis of Input-Output Linkages. The International Center for Development and Decent Work, ICDD Working Papers, Paper No. 12, Available at: www.icdd.uni-kassel.de
  • Campos, R.B. & Guilhoto, J.J. (2019). The socioeconomic impact of low-income housing programs: An interregional input-output model for the state of Sao Paulo and the rest of Brazil. Habitat International, 65, 59-69
  • Esfandiari, A.A. & Tarahomi, F. (2009). The survey of job creation in agricultural sector in Iran's economy. Agricultural Economics and Development, 17(3), 93-116 (In Persian).
  • Farmani, M., Dahmardeh Ghaleno, N., & Shahraki, J. (2016). Identifying the key Economic Sectors of Sistan and Baluchestan Province Regarding Job Creation and Production Using Input - Output Table. QJER, 16(2), 23-56 (In Persian).
  • Feenstra, R. & Sasahara, A. (2018). The ‘China Shock’, Exports and U.S. Employment: A Global Input-Output Analysis. Review of International Economics, 26, 1053–1083.
  • Hosseinzadeh, R. & Ashrafi, F. (2020). The Effect of final Demand Changes on Value-Added with emphasizing the role of export: Application of input-output model during 2011-2016. New Economy and Trad, 15(3), 29-48 (In Persian).
  • Hosseinzadeh, R. & Sharify, N. (2014). Investigation of the Factors Affecting Economic Growth in Golestan Province, Emphasizing the Regional Spillovers and Feedback Effects: Two Regional Input-Output Analysis. Economic Growth and Development Research, 4(15), 24-11 (In Persian).
  • Hosseinzadeh, R. (2022). The effect of household consumption change in different income groups on employment in the Iranian economy. Journal of Iranian Economic Issues, 8(2), 137-157 (In Persian).
  • Hudcovsky, M. & Kubala, J. (2016). How Important Is Structural Change to Employment Development: A Comparison of Germany vs. Slovakia, 24th IIOA Conference, Korea.
  • Incera, A.C., (2017). Drivers of Change in the European Youth Employment: A Comparative Structural Decomposition Analysis. Economic Systems Research, 29(4), 463–485.
  • Isa Zaddeh, S. & ghodsi, S. (2012). Evaluating the employment multipliers of tourism in Iran’s economy: through input–output model. Tourism Management Studies, 7(17), 151-172 (In Persian).
  • Jalaei, A., Akbari, N. & Saffari, B. (2023). Evaluating the Impact of Logistics Hub Formation in Isfahan Province on Regional Economy Based on Two-Regional Computable General Equilibrium Model. Journal of Economic Research (Tahghighat- E- Eghtesadi), 58(1), 25-59 (In Persian).
  • Jani, S. (2020). Analyzing Tourism Industry Effect on Employment among Provinces by Spatial Econometric Panel Data Approach. Qjerp, 28(93), 233-266 (In Persian).
  • Khoshakhlagh, R., & Dehghani Zadeh, M. (2006). Investigating the labor needs of economic sectors in Yazd province using input-output tables. Journal of Knowledge and Development, 18, 127-154 (In Persian).
  • Kiyota, K. (2016). Exports and Employment in China, Indonesia, Japan, and Korea. Asian Economic Papers, 15, 57–72.
  • Kohansla, M., & Rafee Darani, H. (2013). Study of employment potential of agricultural sector in rural and Urban Sectors: Case study of Khorasan Razavi province. Agricultural Economics Research, 5(17), 23-45 (In Persian).
  • Komeyjani, A. & Isa Zadeh, S. (2001). The Effects of Final Demand Components on Employments of Economic Sectors. Journal of Economic Research (Tahghighat- E- Eghtesadi), 36(2), 1-35 (In Persian).
  • Los B., Timmer M. P., & Vries, G. J., (2015). How Important Are Exports for Job Growth in China? A Demand Side Analysis. Journal of Comparative Economics, 49(1), 19-32.
  • Maghsoudi N. (2017). An Introduction to Employment in Main Parts of Tehran Province Based on Output-Input Division. IUESA, 5(19), 63-78 (In Persian).
  • Mansouri, M., Faramarzi, A., Mirzaei, H., & Akbari, N. (2023). A Comparative Study of Different Methods in Determining the Employment Generation Potential of Economic Sectors: A Case Study of Iran's Economy. QJER, 23(3), 81-106 (In Persian).
  • Miller, R.E. & Peter D. Blair. (2009). Input-Output Analysis: Foundations and Extensions. Cambridge University Press: New York, 2nd edition.
  • Pak, M., & Poissonnier, A., (2016). Accounting for technology, trade and final consumption in employment: an Input-Output decomposition, paper presented in 24th International Input-Output Conference, 4-8 July 2016, Korea, Seoul.
  • Sasahara, A. (2019). Explaining the Employment Effect of Exports: Value-Added Content Matters. Journal of the Japanese and International Economies, Article in Press,
  • Taghavi, A. & Pahlavani, M. (2018). Saving, Investment and Economic Growth in Iran: Results from ARDL Model and Cointegration approach with Structural Breaks. Journal of Applied Economics Studies in Iran, 7(25), 201-225 (In Persian).
  • Tarahomi, F., Bazzazan, F., & Farsi, F. (2020). Calculation of three-regions input-output coefficients, hybrid Location Quotient-Gravity Method, (Case Study: oil-rich regions, Tehran Province, and the rest national economies). Qjerp, 28(93), 171-201 (In Persian).
  • Tin, P.B. (2014). A decomposition analysis for labour demand: Evidence from Malaysian manufacturing sector. WSEAS Transactions on Business and Economics, 11(1), 32-41.
  • Wydra, S. (2011). Production and Employment Impacts of Biotechnology-input output analysis Foe Germany. Technological Forecasting and Social Change.78 (2011), 1200-1209.