Can Agricultural Households Farm Their Way Out of Poverty?

2014 ◽  
Author(s):  
Gbemisola Oseni ◽  
Kevin McGee ◽  
Andrew Dabalen
Keyword(s):  
Agricultural Households

Agricultural households: trends and problems of development

2017 ◽  
Vol 1 (64) ◽  
pp. 36-42
Author(s):  
Petr Paramonov ◽  
◽  
Dmitry Ivanitskiy ◽  
Julia Stukova ◽  
◽  
...  
Keyword(s):  
Agricultural Households

scholarly journals Technical efficiency among agricultural households and determinants of food security in East Java, Indonesia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rachman Hakim ◽  
Tri Haryanto ◽  
Dyah Wulan Sari
Keyword(s):  
Food Security ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Rice Farming ◽  
Logit Regression ◽  
Agricultural Households ◽  
And Gender ◽  
Using Data ◽  
Land Size ◽  
Average Consumption

AbstractRice is a staple food in East Java, and the average consumption is 100 kg/capita/year. However, rice productivity has declined dramatically in recent years. Food security can be reached by improving the technical efficiency of rice farming, especially in rice farming centers such as East Java Province. This study aims to measure technical efficiency and its determinants using two limit tobit. And it also aims to examine the effect of the technical efficiency of rice farming on food security using logit regression. Technical efficiency will be measured by using data envelopment analysis (DEA). The results show that the technical efficiency of rice farming is very low in East Java. Government assistance, irrigation, and extension have a significant effect on technical efficiency. Meanwhile, membership of farmer organization has no effect on technical efficiency. Around 69% of farmers can be categorized as food secure households. The estimation of logit regression shows that household size, income, land size, education, age, and gender significantly influence food security in East Java. Meanwhile, credit and technical efficiency did not have any significant effect.

Status of Agricultural Credit and Indebtedness in India: An Analysis

2021 ◽  
pp. 001946622110153
Author(s):  
Suresh Kumar Maurya ◽  
Neha Vishwakarma
Keyword(s):  
Andhra Pradesh ◽  
Uttar Pradesh ◽  
Medium Term ◽  
Agricultural Credit ◽  
Indian States ◽  
Agricultural Household ◽  
Agricultural Households ◽  
Size Groups ◽  
Jel Code ◽  
Land Size

This article attempts to analyse status of agricultural credit and indebtedness in India. The objectives of the study are as follows: (a) to study a comparison of flow of total institutional agricultural credit among different land size groups at all India level; (b) to study a comparison of indebtedness of agricultural households between different size classes of land possessed at both states and all India level and (c) to analyse incidence of indebtedness in major Indian states. It is concluded that mostly, short- and medium-term loans of agricultural purposes are taken for marginal land size groups in India. The percentage of indebted agricultural households to total agricultural household increases as land size increases. The percentage of holdings is less than percentage of indebted agricultural households in Punjab, Uttar Pradesh, Andhra Pradesh, West Bengal, Karnataka, Odisha and Rajasthan. JEL Code: Q14

The Role of Employment Diversification in Reducing Vulnerability to Poverty among Marginal and Small-holder Agricultural Households in India

2018 ◽  
Vol 12 (1) ◽  
pp. 88-112 ◽  
Author(s):  
Sagarika Dey
Keyword(s):  
Risk Group ◽  
Jel Classification ◽  
High Risk Group ◽  
Agricultural Activity ◽  
Livelihood Security ◽  
Vulnerability To Poverty ◽  
Agricultural Households ◽  
Poverty Status ◽  
Small Holder

This article combines two relatively nascent and inter-related approaches to poverty analysis and measurement, that is, the asset-based approach and the vulnerability approach to assess the poverty status of various land-owning classes in rural India. Contingent on the finding that marginal and small-holder households constitute a high-risk group in terms of the incidence of current poverty and vulnerability to future poverty, the study explores the role of non-agricultural activity in providing livelihood security and tackling poverty and vulnerability among land-poor rural households. The findings reveal that while most types of rural non-farm employment have significant poverty-reducing effects, human capital constitutes the most potent element in tackling poverty in the target group. We therefore suggest that an emphasis on skill upgradation of marginal and small landholders, coupled with policies directed towards development of non-farm activity, could provide an effective, permanent solution for curbing poverty and mitigating livelihood risks among these households. JEL Classification: I31, I32, J21, O18

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