Document Type : Research Paper

Authors

1 Associate Professor, Department of Economics, Shahid Chamran University of Ahvaz, Ahvaz, Iran

2 Associate Professor, Department of Economics, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

3 Assistant Professor, Department of Economics, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

4 Professor, Department of Economics, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

5 Assistant Professor, Department of Sociology, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

Abstract

One of the significant challenges in regional development is examining the role of local governments and their relationship with large local companies in income distribution. This challenge is particularly pertinent when large companies have national objectives, and most of their production capacity is capital-intensive and knowledge-intensive, but their operational area is locally focused on the user. The present research aimed to explore the role of the government and large local companies in income distribution. Khuzestan Province was chosen due to its unique characteristics in this regard. The study covered the period from 2006 to 2020, analyzing seasonal data using the generalized method of moments (GMM). The findings indicate that the government’s current and construction expenditures in the province have a negative and significant effect on the urban Gini coefficient. In contrast, the value-added variable of large industrial companies in the province has a positive and significant effect on the urban Gini coefficient. The results suggest that careful planning and coordination between large companies and provincial managers should be sought by adopting policies such as increasing local employment and training local workforce, thereby reducing dissatisfaction and income inequality in the province.

Introduction

One of the significant challenges in regional development is examining the role of local governments and their relationship with large local companies in income distribution. This challenge is particularly pertinent when large companies have national objectives, and most of their production capacity is capital-intensive and knowledge-intensive, but their operational area is locally focused on the user. Based on the available evidence, large companies in Khuzestan Province (e.g., oil, petrochemical, and steel companies), which are part of national entities, generate national income. However, the local population’s share of this income is small. Meanwhile, private companies in Khuzestan Province are under pressure to pay taxes. This has led to the perception among the people in the province that the presence of these national entities has resulted in a low local share of their income. In other words, the income generated by these companies flows out of the province, leaving the local population with a minimal share. In this respect, the present research aimed to explore the role of the government and large local companies in income distribution in Khuzestan Province during 2006–2020.

Materials and Methods

The primary research question is whether the government’s financial policies and the presence of large companies in Khuzestan Province significantly affect income distribution within the province. Using the generalized method of moments (GMM), the study relied on the seasonal data from 2006 to 2020 to address the research question.

Results and Discussion

The results indicate that government’s current and construction expenditures in the province have a negative and significant effect on the urban Gini coefficient. Conversely, the value-added variable of large industrial companies in the province has a positive and significant effect on the urban Gini coefficient. This suggests that the presence of large industrial companies has not only failed to reduce inequality but actually increased urban inequality in the province. The findings also show that both types of user investment and Berber knowledge are effective in reducing the urban Gini coefficient in Khuzestan Province. Additionally, the study found that air pollution in the province has a positive and significant effect on the urban Gini coefficient. This implies that increased pollution, caused by industrial activities, disproportionately impacts the lower classes as the benefits of these activities do not reach the lower-income population. Instead, these polluting industries impose negative external effects on the local population while contributing to increased inequality by introducing imbalances considering payments to national production factors.

Conclusion

According to the research results, the presence of large companies in the province has neither generated local benefits nor reduced income inequality in the urban sector. It is thus recommended that careful planning and coordination between large companies and provincial managers should be sought by adopting policies such as increasing local employment and training local workforce, thereby reducing dissatisfaction and income inequality in the province.
Acknowledgements
We express our gratitude to the Vice-Chancellor for Research Affairs of Shahid Chamran University of Ahvaz for his assistance in conducting this research.
Conflict of interest
The authors declare no conflict of interest in publishing this article
Funding
This study is part of a research project related to industry between Shahid Chamran University of Ahvaz and the Management and Planning Organization of Khuzestan Province, financially supported by contract number 100z1310004 (971875).

Main Subjects

Afonso, A., Schuknecht, L. & Tanzi, V. (2010). Income distribution determinants and public spending efficiency. The Journal of Economic Inequality, 8(3), 367-389. doi.org/10.1007/s10888-010-9138-z.
Baghiatallah, M., Hasan, F., Sayed Aziz, A. & Sayed Amin, M. (2022). Tax reform and the dynamics of macroeconomic variables in Iran: A dynamic stochastic general equilibrium (DSGE). Journal of Tax Research, 30(54), 7-28. doi:10.52547/taxjournal.30.54.7 [In Persian]
Bakija, J., Cole, A. & Heim, B. T. (2012). Jobs and income growth of top earners and the causes of changing income inequality: Evidence from US tax return data. In: Williams College, Williamstown, MA.
Berri, A., Lyk-Jensen, S. V., Mulalic, I. & Zachariadis, T. (2014). Household transport consumption inequalities and redistributive effects of taxes: A repeated cross-sectional evaluation for France, Denmark and Cyprus. Transport Policy, 36, 206-21. doi: 10.1016/j.tranpol.2014.08.007
Besley, T. & Kanbur, R. (1990). The principles of targeting, policy, research. Retrieved from
Bhandari, A. & Mc Grattan, E. R. (2021). Sweat equity in US private business. The Quarterly Journal of Economics, 136(2), 727-781. http://hdl.handle.net/10.1093/qje/qjaa041
Bird, R. M. & Zolt, E. M. (2014). Redistribution via taxation: The limited role of the personal income tax in developing countries. Annals of Economics and Finance, 15(2), 625-683. http://down.aefweb.net/AefArticles/aef150204Bird.pdf
Boot, J. C. G., Feibes, W. & Lisman, J. H. C. (1967). Further methods of derivation of quarterly figures from annual data. Applied Statistics, 16(1), 65-75. doi.org/10.2307/2985238.
Chow, G. C. & Lin, A. L. (1976). Best linear unbiased estimation of missing observations in an economic time series. Journal of the american statistical association, 71(355), 719-721. doi.org/10.2307/2285608.
Chu, K. Y., Davoodi, H. R. & Gupta, S. (2000). Income distribution and tax and government spending policies in developing countries: International Monetary Fund, Fiscal Affairs Department.
Engel, E. M., Galetovic, A. & Raddatz, C. E. (1999). Taxes and income distribution in Chile: some unpleasant redistributive arithmetic. Journal of Development Economics, 59(1), 155-192. RePEc:eee:deveco:v:59:y:1999:i:1:p:155-192.
Fotros, M. H. & Maaboudi, R. (2008). A study of the relationships between income inequality and consumption expenditure inequality in Iran, during 1979-2006. Quarterly Journal of Quantitative Economics (JQE), 18(5), 137-160. Retrieved from https://www.sid.ir/paper/359073/en [In Persian]
Harms, P. & Zink, S. (2003). Limits to redistribution in a democracy: a survey. European Journal of Political Economy, 19(4), 651-668. doi.org/10.1016/S0176-2680(03)00021-1.
Hassanvand, D. & Nademi, Y. (2018). Empirical analysis of existence of the mundell's relationship between interest rate and inflation in Iran: a state-space approach. Monetary & Financial Economics, 25(15), 219-238. doi:10.22067/pm.v25i16.63738
Hettich, W. & Winer, S. L. (1988). Economic and political foundations of tax structure. The American Economic Review, 78(4), 701-712. RePEc:aea:aecrev:v:78:y:1988:i:4:p:701-12.
Jalali, M. (2008). An estimation of gini coefficient in Iran. Iranian Journal of Economic Research, 12(36), 115-134 Retrieved from https://ijer.atu.ac.ir/article_3568_b67d90fa8c9e5e94d791bffbfb310da8.pdf [In Persian]
Kaymak, B. & Poschke, M. (2016). The evolution of wealth inequality over half a century: The role of taxes, transfers and technology. Journal of monetary economics, 77, 1-25. doi: 10.1016/j.jmoneco.2015.10.004
Khanzadi, A., Heidarian, M. & Moradi, S. (2015). Analyzing the role and impacts of tax revenues on Income distribution and human development (A case study of Iran). Quarterly Journal of Quantitative Economics, 11(4), 135-158. Retrieved from https://jqe.scu.ac.ir/article_11876_8ba5c541b02395c60125731af637b342.pdf [In Persian]
Mahmoudinia, D. & Amroabadi, B.S. (2023). Good governance and financial crises: A global evidence. Global Business and Economics Review, 29(2), 181-211. RePEc:ids:gbusec:v:29:y:2023:i:2:p:181-211.
Mansouri, S. & Afghah, S. (2020). Survey the Impact of political, economic and personal freedoms on human development index (a cross-country approach). International Political Economy Studies, 3(1), 279-301. doi:10.22126/ipes.2020.3663.1062 [In Persian]
Mansouri, S. A., Afghah, S. M. & Bavi, M. (2023). Investigating the Impact of financial development dimensions on income distribution with emphasis on Tehran stock exchange data. Journal of Applied Economics Studies in Iran, 12(45), 223-258. doi:10.22084/aes.2022.25664.3394  [In Persian]
Mansouri, S. A. & Afghan, S. M. (2018). Interactions between freedom, governance and human development (an approach of panel data for the period 1995-2015). Strategic Studies of public policy, 7(25), 135-155. Retrieved from https://sspp.iranjournals.ir/article_29730_76e7954f1fe4d45f4a2c42f70e1bd60d.pdf [In Persian]
Mansouri, S. A., Farazmand, H. & Afghah, M. (2021). Investigation of economic resilience in small and medium industries of Khuzestan province due to SARS-CoV-2 (Corona) Epidemic. Stable Economy Journal, 2(3), 1-30. doi:10.22111/sedj.2021.40408.1153 [In Persian]
Mansouri, S. A., Farazmand, H., Afghah, S. M. & Alizade, M. (2022). Structural modeling of the relationship between tax evasion and the hidden economy with the Panel MIMIC approach. Quarterly Journal of Economic Research and Policies, 30(103), 159-195. doi:10.52547/qjerp.30.103.159  [In Persian]
McLure Jr, C. (1984). The evolution of tax advice and the taxation of capital income in the USA. Environment and Planning C: Government and Policy, 2(3), 251-269. doi.org/10.1068/c020251.
Mehrara, M. & Esfahani, P. (2016). The relationship between income distribution and tax structure in the selected countries. Journal of Tax Research, 23(28), 209-228. Retrieved from http://taxjournal.ir/article-1-770-en.html [In Persian]
Milanovic, B. (2000). The median-voter hypothesis, income inequality, and income redistribution: An empirical test with the required data. European Journal of Political Economy, 16(3), 367-410. doi.org/10.1016/S0176-2680(00)00014-8.
Moradi, F., Jafari, M. & Fatahi, S. (2023). The impact of good governance on income inequality in selected developing and developed countries with an emphasis on control of corruption. Quarterly Journal of Quantitative Economics (JQE), 20(3), 110-135. doi:10.22055/jqe.2021.37420.2374 [In Persian]
Mousavi Jahromi, Y., Khodadad Kashi, F. & Moosapour Ahmadi, A. (2015). Evaluation of the factors affecting income inequality. Iranian Journal of Economic Research, 19(61), 117-147. Retrieved from https://ijer.atu.ac.ir/article_1697_583281c121ee0d55eefecd41ad0cc0cc.pdf [In Persian]
Oueslati, W., Zipperer, V., Rousselière, D. & Dimitropoulos, A. (2017). Energy taxes, reforms and income inequality: An empirical cross-country analysis. International Economics, 150, 80-95. doi: 10.1016/j.inteco.2017.01.002.
Piketty, T., Saez, E. & Stantcheva, S. (2014). Optimal taxation of top labor incomes: A tale of three elasticities. American Economic Journal: Economic Policy, 6(1), 230-271. doi: 10.1257/pol.6.1.230.
Ramirez, J. (2002). Redistribution and fiscal policy. In: Federal Reserve Bank of Atlanta, Working Paper.
Renani, M., Shirazi, H. & Sadeghi Amroabadi, B. (2014). Determinants of Iran’s emigration flows: An application of the dynamic panel data approach. Journal of Economic Research (Tahghighat- E- Eghtesadi), 49(2), 337-362. doi:10.22059/jte.2014.51797
Sadeghi Amroabadi, B. (2022). Analyzing the asymmetric cumulative effects of rentier state on income inequality in Mena countrie. Quarterly Journal of Applied Theories of Economics, 9(3), 113-146. doi:10.22034/ecoj.2022.42390.2748 [In Persian]
Sadeghi Amroabadi, B. & Hooshmandi, H. (2021). Analyzing the effects of income inequality on public debt in OPEC member states by threshold panel. qjerp, 29(97), 313-335. doi: 10.52547/qjerp.29.97.313  [In Persian]
Sadeghi, S. K., Beheshti, M. B., Ranjpour, R. & Ebrahimi, S. A. (2018). An empirical analysis of effects of direct taxes on income distribution in Iran: A FAVAR approach. Journal of Tax Research, 26(37), 41-72. Retrieved from http://taxjournal.ir/article-1-1379-en.html [In Persian]
Samadi, S., Vaez, M. & Ghasemi, M. R. (2012). Qurterizing time-series (A case study, government oil revenues, consumer price index and liquidity). Monetary & Financial Economics, 18(2), 1-15. doi:10.22067/pm.v18i2.27600 [In Persian]
Seifeepour, R. & Rezaee, M. (2011). An analysis of the effective factors on income distribution in Iran with the emphasis on taxes. Journal of Tax Research, 19(10), 121-142. Retrieved from http://taxjournal.ir/article-1-100-en.html [In Persian]
Shakibai, A., Sadeghi, Z. & Salmani, Z. (2018). Evaluating the Impact of industrial employment on income inequality in developing and developed countries. Industrial Economic Research, 2(5), 61-78. doi:10.30473/indeco.2020.47492.1113 [In Persian]
Schultz, T. P. (1969). Secular trends and cyclical behavior of income distribution in the united states: 1944–1965. In Six papers on the size distribution of wealth and income (pp. 75-106). NBER.
Slemrod, J. (1990). Do taxes matter?: The impact of the Tax Reform Act of 1986. (No Title).
Taeibnia, A., Zareei, A. & Yari, H. (2010). The effect of financial development on income inequality: A case study for the middle east and north african countries. The Journal of Economic Studies and Policies, 2(81), 137-154. doi:10.22096/esp.2010.26225 [In Persian]
Tanzi, V. (1987). The response of other industrial countries to the US Tax Reform Act. National Tax Journal, 40(3), 339-355. doi.org/10.1111/1467-856X.001