An Investigation into Income Distribution in Zanjan Province: A Case Study of Rural Households in Abhar ‍County

International Journal of Agricultural Management and Development

مقاله 9، دوره 7، شماره 4، اسفند 2017، صفحه 489-496   

نوع مقاله: Research Article

نویسندگان

Mostafa Teimoori^{* 1}؛ Nina Rajaee²؛ Mohammad hadi Hajian³

¹Research and education Branch

²Abhar Branch, Islamic Azad University

³tarbiat modares university

چکیده

The present study aims to investigate income distribution in Zanjan Province, for which the statistics of cost-income of the households in rural areas of Abhar County were used. They were available in the Statistical Center of Iran. In order to measure income distribution, the indicators of Lorenz curve, the Gini coefficient, the proportion of high-income groups to low-income groups, as well as the comparison of decades and quintiles are described below. The results indicated that 20% of the richest households in the rural community of Abhar County had more than half of the revenue, and four poor decades had less than 10% of revenue. The richest farmer docile had an income about 28 times as high as the poorest decade, and the richest non-farmer docile had an income about 74 times as high as the poorest non-farmer docile. The results of the Gini coefficient of the two occupational groups suggested that the Gini coefficient of people working in the agricultural sector was equal to 0.55, and that it was 0.56 for non-agricultural workers by comparison. The results of correlation analysis indicated a negative relationship between the age of household’s head and their annual income. Moreover education level of household’s head had a positive relationship with their annual income. In addition, there was no significant difference among annual incomes of households heads with different occupational groups.

کلیدواژه‌ها

Abhar؛ Income distribution؛ the Gini coefficient؛ Lorenz curve؛ Rural Areas

مراجع

Abbas, M., Mahdi, M.H.,&  Shafiei, M. (2014). Factors influencing rural-urban migration from mountainous areas in Iran: A case study in West Esfahan. European Online Journal of Natural and Social Sciences, 3)3(, 723-728.

Barati, A. A. (2010). invesstigating the status of income distribution among rural households of Ghochan city. Science and Technology of Agriculture and Natural Resources, 10 (2), 17-27. (in Persian)

Chakrabarti, Bikas K., Chakraborti, Anirban&  Chakravarty, Satya R. (2013) Economphysics of income and wealth distributions. Cambridge University Press, New York, USA

Dadgar, Y. (2005). Public finance and the governmental economy. Institute of Economics, Tarbiat Modarres University, Tehran (in Persian)

Fluckiger, Y., & Zarin-Nejadan, M. (1994).The effect of macroeconomic variables on the distribution of income: The case of Switzerland. Journal of Income Distribution, - 4(1), 25-39.

Kaasa, A. (2003). Factors influencing income inequality in transition economics.,University of Tartu Faculty of Economics and Business Administration., Tartu University Press, Estonian.

Kuznets, S. (1955). Economic growth and income inequality. American Economic Review, 45, 1-28.

Meltzer, Allan H.,  & Richard, Scott F. (2015). A positive theory of economic growth and the distribution of income research in economics. Hoover Institution Economics Working Paper, 1-43.

Ruzbehan, B. (1997). Foundations of economic development, Fifth Edition. Baztan Publications, Tehran (in Persian).

Sahota, G. S. (1978).Theories of personal income distribution: A survey,. Journal of Economic Literature, 16(1), 1-55.

Sarel, M. (1997). How macroeconomic factors affect income distribution: The cross-country evidence. IMF Working Paper, No. 97/152, 1-25.

Soriano-Hernández, P., del Castillo-Mussot, M., & Córdoba-Rodríguez, O. (2016). Non stationary individual and household income of poor, rich and middle classes in Mexico, Physica A: Statistical Mechanics and its Application, 465, 403–413.

Toudeh Rousta, M., Mir Mohammad Sadeghi, J. (2013). Investigating the income distribution of farmers in Savojbolagh city and the factors affecting it. Science and Technology of Agriculture and Natural Resources, 7 (2), 53-67. (in Persian)