For many smallholder farmers in the Mount Elgon region of Uganda, Arabica coffee cultivation is the major income-generating activity. Although it is widely known that smallholder coffee farmers often live under conditions that barely assure their survival, research to date has failed to examine...

To mitigate the socio-economic problems arising from income disparity, a comprehensive view and insights into rural households' behaviors and environment are crucial. This study employs cluster analysis to develop an empirical taxonomy of households' occupations in Thai rural areas and gain...

This paper proposes a methodology for calculating the cost of equity for unlisted agricultural companies in Poland. An analysis of a fixed effects panel model was conducted on a sample of 79 agricultural enterprises from the Farm Accountancy Data Network (FADN) field of observation in...

One of the basic debates in African development is whether agriculture can be the instrument for the transformation of a rural economy. A common question is whether agricultural policies can provide the impetus to move agriculture in developing economies from subsistence to commercial...

This research investigated the efficiency of the crop enterprise mix farmers formulate to cope with moisture stress risk given the different constraints they are living with. Farmers’ moisture risk coping strategies are mainly explained by the allocation of farm land among the different crop...

In this paper we make a two-fold contribution. We first examine the impact of agricultural subsidies on Greece, using a detailed, micro-panel dataset for four years, 2008, 2010, 2012, and 2014. Our analysis is illuminating at least two aspects of subsidies: first, it suggests that an incentive...

Irrigation and land use are crucial issues in rural sustainable development. The current study modifies the sustainable framework of livelihoods to clarify the role of irrigation management in farmers’ land-use choices. A five-wave panel dataset of 1,534 farms for the period 2008–2016 in...

This paper describes a numerically efficient Machine Learning approach for solving the farm manager’s land allocation problem in a manner that requires neither a distributional assumption on crop returns nor an expected utility specification. The method is based on the idea that a farm manager...