Iranian Agricultural Economics Society (IAES)

Document Type : Research Article

Authors

1 Department of Agricultural Economics, Sari Agricultural Sciences and Natural Resources University, Sari, Iran

2 Department of Agricultural Economics, Shiraz University, Shiraz, Iran

3 Agricultural Economics, Shiraz University, Iran

Abstract

Introduction: Off-farm activities have become an important component of livelihood strategies among rural households in most developing countries. According to available evidence, off-farm income is an important source of income for most rural households, which is important for economic, governmental and nongovernmental organizations, and international representatives of development and advancement. Several studies have reported a substantial and increasing share of off-farm income in total household income. Reasons for this observed income diversification includes declining farm income and the desire to insure against agricultural production and market risks. Non-agricultural activities, which are referred to as off-farm activities, are part of the rural economic sector, which is essential for improvement and assistance that can be referred to as an economic incentive for activities as well as field activities. Due to the development of off-farm activities in rural areas, its share of income has slowly increased and off-farm incomes appear as a contributing factor to the flow of income, which is due to its low income variation. Off-farm activity is a factor in creating diversity in activities and strategies to increase incomes, especially in the time of farm production decline among rural households. Using the theory of time allocation of households, \ incentives to allocate time to out-of-field activities, which not only relate to wage factors but also family structure and individual preferences, are identified.
Materials and Methods: In order to investigate the effect of various factors on having an off-farm activity, regression models with a dummy dependent variable are required. Farmers' time allocation to different activity is a function of some variables, such as individual, regional and family characteristics. The model used in the present study is as follows:



 
 



In which the dependent variable is a multiple choice that in this study shows employment in various activities including agriculture, activities related to agriculture and non-agricultural activities. The multinomial logit model was used to investigate the factors affecting the time allocation of farmers in Marvdasht. Another objective of the present study is to answer the question of whether off-farm activity will increase or decrease income inequality. To measure the inequality created by each source of income, the income-resource variance was used. The percentage of total inequality decomposition is obtained from the following formula. It shows the extent to which inequality is created for each source of income.



 
 



Results and Discussion: Based on the results, comparing the results of the Logit model and the multinomial logit model indicate that the type of non-agricultural activities is important in the allocation of time and the establishment of various policies for the development of off-farm activities. The level of education has a positive effect on off-field employment due to its effect on creating more job opportunities for individuals. The amount of land owned by the farmer was another important factor in the implementing off-farm activities unrelated to agriculture. According to the results in Marvdasht County, variables such as age, education, livestock breeding, number of extension classes, number of dependent persons, household expenses, expenditure to agricultural income, family labor force and car value have a significant effect on the probability of time allocation to outside activities related to agriculture. Regarding agricultural activities, all variables except for the history of land use and land use ratio have a significant effect on the dependent variable. Also, based on the results, the lowest and largest share of income inequality in households are related to the off-farm activities which is unrelated to agriculture and farming, respectively. Creating the necessary facilities to increase the level of education of households, encouraging off-farm activities for small farmers, along with investing in the development of off-farm activities in rural areas can help to allocate their time to non-agricultural activities along with agriculture and increase income equality.

Keywords

  1. Abdollahi Ezzat Abadi M., and Soltani Gh. 2000. Time allocation in rural household's Case study: Rafsanjan City. Iranian Journal of Agricultural Science 31(4): 1-14. (In Persian with English abstract)
  2. Abdoshahi A. 2006. Factors Affecting Technology and Farmer's Employment Off-Farm Activities. M.Sc. Thesis of Agricultural Economics, Shiraz University.
  3. Abidoye B.O., and Odusola A.F. 2015. Climate change and economic growth in Africa: An econometric analysis. Journal of African Economies (pp. 277–301): 277–301.
  4. Ackah C. 2013. Nonfarm employment and incomes in rural Ghana. Journal of International Development 25(3): 325–339.
  5. Ahmadikia Z. 2009. Factors Affecting Farmer's Employment Off-Farm Activities and Its Impact on Income Equity: A Case Study of Marvdasht and Sepidan. M.Sc. Thesis of Agricultural Economics, Shiraz University.
  6. Ali D.A., Deininger K., and Duponchel M. 2014. Credit constraints, agricultural productivity, and rural nonfarm participation: evidence from Rwanda. World Bank. Policy Research Working Paper No. 6769. World Bank, Washington, DC. <http://go.bworldbank.org/> (26.09.16).
  7. Amini A. 2002. Analysis of factors affecting labor demand in economic sectors and employment forecast in the third development plan. Plan and Budget 2(41): 3-29. (In Persian with English abstract)
  8. Bagamba F., Burger C.P.J., and Kuyvenhoven A. 2009. Determinant of smallholder farmer labor allocation decisions in Uganda. International food policy research institute (IFPRI).
  9. Bila Y., Mshelia B.M., and Landi H. 2015. Off Farm Activities and Its Contribution to Household Income in Hawul Local Government Area, Borno State, Nigeria. IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS) e-ISSN: 2319-2380, p-ISSN 10(8): 9-13
  10. De Janvry A., and Sadoulet, E. 2001. Income strategies among rural households in Mexico: The role of off-farm activities. World development 29(3): 467-480.
  11. Dragos C., and Veres V. 2007. Romanian Farmers’ Market-A Multinomial Logit Model Approach.
  12. Emran M.S., and Hou Z. 2013. Access to markets and rural poverty: Evidence from household consumption in China. Review of Economics and Statistics 95(2): 682–697.
  13. Fall M., and Magnac T. 2004. How valuable is on-farm work to farmers?. American Journal of Agricultural Economics 86(1): 267-281.
  14. 2017. Food and Agriculture Organization.
  15. Fernandez-Cornejo J., and Hendricks C. 2003. Off-Farm Work and the Adoption of Herbicide-Tolerant Soybeans. In Selected Paper Presented at the Southern Agricultural Association Annual Meeting, Alabama, February 1-5.
  16. Howard W., and Swidinsky M. 2000. Estimating the Off‐farm Labor Supply in Canada. Canadian Journal of Agricultural Economics Revue Canadienne D'agroeconomie 48(1): 1-14.
  17. Hoang T.X., Pham C.S., and Ulubasoglu M.A. 2014. Non-farm activity, household expenditure, and poverty reduction in rural Vietnam: 2002–2008. World Development 64(12): 554–568.
  18. Huang J., and Ding J. 2015. Institutional innovation and policy support to facilitate small-scale farming transformation in China. Paper presented on 2015 Conference, August 9–14, 2015, Milan, Italy, International Association of Agricultural Economists (IAAE).
  19. Issahaku G., and Abdul-Rahaman A. 2019. Sustainable land management practices, off-farm work participation and vulnerability among farmers in Ghana: Is there a nexus? International Soil and Water Conservation Research 7(1): 18-26.
  20. Jolliffe D. 2004. The impact of education in rural Ghana: examining household labor allocation and returns on and off the farm. Journal of Development Economics 73(1): 287-314.
  21. Kimhi A. 2004. Family composition and off-farm participation decisions in Israeli farm households. American Journal of Agricultural Economics 86(2): 502-512.
  22. Kimhi A., and Bollman R. 1999. Family farm dynamics in Canada and Israel: the case of farm exits. Agricultural Economics 21(1): 69-79.
  23. Lien G., Kumbhakar S.C., and Hardaker J.B. 2008. Determinants of part-time farming and its effect on farm productivity and efficiency. In presentation at the 107th EAAE Seminar" Modelling of Agricultural and Rural Development Policies". Sevilla, Spain, January 29th-February 1st.
  24. Matshe I., and Young T. 2004. Off‐farm labour allocation decisions in small‐scale rural households in Zimbabwe. Agricultural Economics 30(3): 175-186.
  25. Mishra A.K., and Sandretto C.L. 2002. Stability of farm income and the role of nonfarm income in US agriculture. Review of Agricultural Economics 24(1): 208-221.
  26. Oseni G., and Winters P. 2009. Rural nonfarm activities and agricultural crop production in Nigeria. Agricultural Economics 40(2): 189–201.
  27. Owusu V., Abdulai A., and Abdul-Rahman S. 2011. ‘Non-farm work and food security among farm households in Northern Ghana’. Food Policy 36(15): 108–118.
  28. Polzin P., and MacDonald P. 1971. Off-farm work: a marginal analysis. The Quarterly Journal of Economics 85(3): 540-545.
  29. Roucan-Kane M., and Keeney R. 2007. Farm household labor allocation, hire labor in the Midwest U.S. the impact of government payments, Working Paper, Department of Agricultural Economics Purdue University.
  30. Shorrocks A.F. 1982. Inequality decomposition by factor components. Econometrica: Journal of the Econometric Society 21(2): 193-211.
  31. Wang X., Huang J., and Rozelle S. 2017. Off-farm employment and agricultural specialization in China. China Economic Review 42(2): 155-165.
  32. Xiaoping S.H.I., Heerink N., and Futian Q.U. 2007. Choices between different off-farm employment sub-categories: An empirical analysis for Jiangxi Province, China. China Economic Review 18(4): 438-455.
  33. Zereyesus Y.A., Embaye W.T., Tsiboe F., and Amanoroadu V. 2017. Implications of non-farm work to vulnerability to food poverty-recent evidence from Northern Ghana. World Development 91(15): 113–124.
  34. Zhang L., Rozelle S., and Huang J. 2001. Off-farm jobs and on-farm work in periods of boom and bust in rural China. Journal of Comparative Economics 29(3): 505-526.
CAPTCHA Image