Estimating the Impacts of Agricultural Land and Livestock Ownerships on Insecurity of Food in Pakistan: Evidence from Quantile Regression Analysis

Authors

  • Ahmed Raza Cheema , Kashif Imran , Jabbar Ul-Haq

Keywords:

Insecurity of Food (IoF); Agricultural land; livestock; Quantile Regression (QR); Inter-Quantile Regression (IQR), Pakistan

Abstract

The present study employs quantile regression analysis henceforth QR on micro-level datasets from Pakistan to evaluate the role of agricultural land and livestock ownerships on the insecurity of food in Pakistan. The results indicate that the favorable effects of land, as well as livestock ownership on food insecurity, vary with quantile. The impacts of 11or more acres of land owned by wealthy households on food insecurity are about five times larger than those of poorer ones. whereas the impacts of livestock are more than double. The slope coefficients of Inter-quantile regressions for the above-mentioned variables are statistically significant. So, it is recommended that land should be provided to landless households through land reforms and there should be the arrangement of livestock for the households without it.

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Published

2022-05-20

How to Cite

Ahmed Raza Cheema , Kashif Imran , Jabbar Ul-Haq. (2022). Estimating the Impacts of Agricultural Land and Livestock Ownerships on Insecurity of Food in Pakistan: Evidence from Quantile Regression Analysis. Competitive Social Science Research Journal, 3(1), 79–94. Retrieved from https://cssrjournal.com/index.php/cssrjournal/article/view/63