scholarly journals Analysis of Farm Household Debt by Farm Type

2017 ◽  
Vol 24 (1) ◽  
pp. 63-81
Author(s):  
Maya Kang
1995 ◽  
Vol 43 (1) ◽  
pp. 111-123 ◽  
Author(s):  
G. Kruseman ◽  
R. Ruben ◽  
H. Hengsdijk ◽  
M.K. Van Ittersum

A farm household modelling approach using linear programming is presented that integrates biophysical and socioeconomic information for simulating micro-level responses to specific changes in the socioeconomic environment. The linear programming model includes separate modules for prices, production activities and expenditures from which the objective function is derived. Moreover, the model comprises a production structure adjustment coefficient to account for incomplete specification of the objectives of the farmer in the objective function. The model was calibrated for one specific farm type in the Atlantic Zone of Costa Rica, a peasant household growing basic grains and other food crops for household consumption and sale, and applied to calculate effects of several price instruments. The results, in terms of response multipliers, give an indication of the pace and direction of land use change at the micro-level as a result of (induced) change in the socioeconomic environment. The overall effect of an increase in biocide prices (taxation) is a change in cultivated crops and decrease in biocide use, but at the expense of a reduction in income. Increasing fertilizer prices affects income and utility positively. Thus, changes in fertilizer prices would seem to be an appropriate instrument to induce land use modifications.


2020 ◽  
Author(s):  
J. Anthony Cookson ◽  
Erik Gilje ◽  
Rawley Heimer

2016 ◽  
Author(s):  
Masturah Ma’in ◽  
Nur AmiraIsmarau Tajuddin ◽  
Siti Badariah Saiful Nathan

This paper focuses upon the magnitude of income-based poverty among non-farm households in rural Punjab. Based on the primary survey, a sample of 440 rural non-farm households were taken from 44 sampled villages located in all 22 districts of Punjab.The poverty was estimated on the basis of income level. For measuring poverty, various methods/criteria (Expert Group Criteria, World Bank Method and State Per Capita Income Criterion) were used. On the basis of Expert Group Income criterion, overall, less than one-third of the persons of rural non-farm household categories are observed to be poor. On the basis, 40 percent State Per Capita Income Criteria, around three-fourth of the persons of all rural non-farm household categories are falling underneath poverty line. Similarly, the occurrence of the poverty, on the basis of 50 percent State Per Capita Income Criteria, showed that nearly four-fifths of the persons are considered to be poor. As per World Bank’s $ 1.90 per day, overall, less than one-fifth of rural non-farm household persons are poor. Slightly, less than one-fourth of the persons are belonging to self-employment category, while, slightly, less than one-tenth falling in-service category. On the basis of $ 3.10 per day criteria, overall, less than two-fifth persons of all rural non-farm household categories were living below the poverty line.


2021 ◽  
Vol 41 (2) ◽  
pp. 154-176
Author(s):  
Martino Comelli
Keyword(s):  

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 499
Author(s):  
Yun-Cih Chang ◽  
Min-Fang Wei ◽  
Yir-Hueih Luh

The determinants and/or economic effects of modern food distribution channels have attracted much attention in previous research. Studies on the welfare consequences of modern channel options, however, have been sparse. Based on a broader definition of modern food distribution channels including midstream processors and downstream retailers (supermarkets, hypermarkets, brand-named retailers), this study contributes to the existing body of knowledge by exploring the distributional implications of farm households’ choice of modern food distribution channels using a large and unique farm household dataset in Taiwan. Making use of the two-step control function approach, we identify the effect of modern food distribution options on farm households’ profitability. The results reveal selling farm produce to modern food distributors does not produce a positive differential compared to the traditional outlets. Another dimension of farm household welfare affected by the choice of modern food distribution channel is income inequality. We apply the Lerman and Yitzhaki decomposition approach to gain a better understanding of the effect of the marketing channel option on the overall distribution of farm household income. The Gini decomposition of different income sources indicates that the choice of modern food distribution channels results in an inequality-equalizing effect among the farm households in Taiwan, suggesting the inclusion of smallholder farmers in the modern food distribution channels improves the overall welfare of the rural society.


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