Farm Size and Returns to Cultivation in India: Revisiting an Old Debate

Gaurav, Sarthak; Mishra, Srijit

doi:10.1080/13600818.2014.982081

Cited by 26 publications

(19 citation statements)

References 31 publications

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“…In India, for the two major agricultural seasons, kharif and rabi, and for both the seasons pooled together, Gaurav and Mishra's findings suggested the existence of an inverse relationship, even when they treated factors such as household types, social groups, agro-climatic zones and agricultural seasons as fixed effects [15]. The result was also robust in correcting for selection bias.…”

Section: Review Of Related Literaturessupporting

confidence: 52%

“…Thus, the family revenue per labour takes the form of a quadratic function to represent its change rule. For land endowment, eliminating the impact of institutions, technological progress, etc., it is confirmed that grain yield per hectare decreases with farm size worldwide [15], [16], which is the famous Inverse Relationship (IR). With farm size continuously increasing, grain yield per hectare decreases at a diminishing rate.…”

Section: Estimation Methods and Data Resourcesmentioning

confidence: 73%

“…With a grain area increase, the degree of intensive farming and the grain yield per unit decrease [15]. Thus, the expected sign of AREA is negative.…”

Section: The Inverse Relationship Testing Modelmentioning

confidence: 98%

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Estimating the Optimal Land Management Scale of Big Grain Production Households and Comprehensive Family Farms Based on the Decision Graph

Luo¹

2017

IJEFM

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Farmland scale management can bring large scale benefits to producers, promote labour productivity and increase farmers' income. However, excessive concentration of farmland also has a few shortcomings, such as decreases in intensive farming, farmland productivity, and employment efficiency. Identifying the optimal land management scale is an effective means to improve agricultural production efficiency. Regression analysis is used to estimate the optimal land management scale under current productivity in China. Further, a decision graph has been drawn, which shows that the scale of big grain production households and comprehensive family farms is generally less than the optimal level, and an inverse relationship exists between farm size and productivity. Lastly, the suggestions that scattered land should be concentrated in the hands of big grain production households and family farms, and that land-lost farmers should work in their local agricultural industry, participating in the profit from land production are made.

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Section: Review Of Related Literaturessupporting

confidence: 52%

Section: Estimation Methods and Data Resourcesmentioning

confidence: 73%

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Estimating the Optimal Land Management Scale of Big Grain Production Households and Comprehensive Family Farms Based on the Decision Graph

Luo¹

2017

IJEFM

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“…which led to the degradation of their natural resource that causes less productivity (Sial et al, 2012). In developing countries, this inverse relation was found by Desiere (2016), Gaurav & Mishra (2014), Bhalla & Roy (1988), Feder (1985 and Fan & ChanKang (2003). Nevertheless, Sadhu & Singh (1996) found positive relation between farm size and productivity.…”

Section: Relationship Between Farm Size and Adoption Levelmentioning

confidence: 63%

Management practice adoption and productivity of commercial aquaculture farms in selected areas of Bangladesh

Prodhan

Khan

2018

J Bangladesh Agric Univ

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Adoption of scientific management practice is the pre-condition for increasing productivity in any farm business. This study estimates the level of scientific aquaculture management practice (SAMP) adoption, factor affecting adoption and its relation with productivity. Sixty aquaculture farms were selected from 3 upazilas of Mymensingh district of Bangladesh. Adoption level was measured by following Sengupta (1967) while Tobit regression was used to assess the determinants of adoption level. Polynomial regression was employed to show the relationship among farm size, adoption level and productivity. Result revealed that average SAMP adoption level was 54% where 53% farmers were medium adopter. Training, experience, education and extension service had significant positive effect on level of adoption. Productivity was significantly higher for those farmers who adopted more SAMP. Adoption level, productivity and profitability of small farmers were higher than that of large farmers. The study suggests farmers for adopting scientific management practices in order to increase the aquaculture productivity and profitability.

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“…Much of the discussion of what constitutes sustainable agriculture has revolved around the role of these specific practices in the achievement of sustainability. For example, for some, especially those who argue for an agroecological approach to sustainability, farm size (Gaurav & Mishra, 2015;Kull, Carrière, Moreau, Ramiarantsoa, Blanc-Pamard, & Tassin, 2013;Woodhouse, 2010) and the structure of farm ownership (Dogliotti et al, 2014;Fernandes & Woodhouse, 2008;Hamilton, 2014;Woods, 2014) are central to sustainable agriculture. Some argue that sustainable agriculture can only be achieved on small or family farms.…”

Section: Introductionmentioning

confidence: 99%

Principles Guiding Practice: A Case Study Analysis of the Principles of Sustainable Agriculture for Diverse Farms

Moore

Swisher

Rodríguez³

et al. 2016

J. Agric. Food Syst. Community Dev.

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Farm Size and Returns to Cultivation in India: Revisiting an Old Debate

Cited by 26 publications

References 31 publications

Estimating the Optimal Land Management Scale of Big Grain Production Households and Comprehensive Family Farms Based on the Decision Graph

Estimating the Optimal Land Management Scale of Big Grain Production Households and Comprehensive Family Farms Based on the Decision Graph

Management practice adoption and productivity of commercial aquaculture farms in selected areas of Bangladesh

Principles Guiding Practice: A Case Study Analysis of the Principles of Sustainable Agriculture for Diverse Farms

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