Alternative cropping strategies for assured and efficient crop production in upland rainfed rice areas of eastern India based on rainfall analysis

Kar, Gouranga; Singh, Ravender; Verma, Himanshu

doi:10.1016/j.agwat.2003.12.005

Cited by 44 publications

(28 citation statements)

References 3 publications

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“…Crop diversification is a commonly prescribed strategy in different policy documents for agricultural growth and development. Much of the literature observed positive impact of crop diversification on farm income [102,103], as well as on technical efficiency [104] and agricultural growth [105]. Contrary to these, Llewelyn and Williams [106] observed that in Indonesia crop diversification significantly reduced technical efficiency.…”

Section: Determinants Of Tfp Changesmentioning

confidence: 87%

Agricultural Productivity Growth and the Role of Capital in South Asia (1980–2013)

2017

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Abstract:The study assessed agricultural sustainability in South Asia (i.e., Bangladesh, Pakistan, India and Nepal) by computing multi-lateral multi-temporal Total Factor Productivity (TFP) indices and their six finer components (technical change, technical-, scale-and mix-efficiency changes, residual scale and residual mix-efficiency changes) and examined the role of capital in driving TFP growth covering a 34-year period . Results revealed that all countries sustained agricultural productivity growth at variable rates with Bangladesh experiencing highest rate estimated @1.05% p.a. followed by India (0.52%), Pakistan (0.38%) and Nepal (0.06% p.a.). There were little or no variation in technical and scale efficiency changes among the countries. However, residual scale efficiency increased @0.44% p.a. in Bangladesh, 0.12% p.a. in Pakistan, remained unchanged in India and declined −0.39% p.a. in Nepal. Similarly, mix efficiency increased @0.44% in Bangladesh, remained unchanged in India and declined @−0.12% p.a.in Pakistan and −0.39% p.a. in Nepal. The major drivers of agricultural TFP growth were the levels of natural, human and technology capital endowments whereas financial capital and crop diversification had opposite effects. Policy implications include land and tenurial reforms aimed at consolidating farm operation size and smooth operation of the land rental market to improve natural capital, investments in education to improve human capital and agricultural R&D to enhance technology capital in order to boost agricultural productivity growth in South Asia.

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Section: Determinants Of Tfp Changesmentioning

confidence: 87%

Agricultural Productivity Growth and the Role of Capital in South Asia (1980–2013)

2017

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“…Furthermore, Van den Berg et al (2007) concluded that diversification into high-value vegetable crops and away from rice had enabled the Chinese farmers to sustain reasonable income levels given the present farm-size distributions. In addition, Kar et al (2004) concluded that crop diversification in upland areas could serve as a good measure to mitigate drought as well as increase efficiency in water use, while also increasing the overall yield from any cropping system.…”

Section: Introductionmentioning

confidence: 98%

Crop diversification in Thailand: Status, determinants, and effects on income and use of inputs

Kasem

Thapa

2011

Land Use Policy

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“…For example, Guvele [16] noted that crop diversification reduces income variability in Sudan, whereas van den Berg et al [17] noted that it sustains income level for farmers in China. Kar et al [18] and Rahman [19] noted that crop diversification increases agricultural production in India and Bangladesh, respectively. Llewelyn and Williams [20] and Haji [21] noted that crop diversification decreases farmers' production efficiency in Indonesia and Ethiopia, respectively while Coelli and Fleming [22] and Rahman [19] reported that crop diversification actually improves farmers' production efficiency in Papua New Guinea and Bangladesh, respectively.…”

Section: Introductionmentioning

confidence: 99%

Determinants of Food Crop Diversity and Profitability in Southeastern Nigeria: A Multivariate Tobit Approach

Rahman

Chima

2016

Agriculture

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Abstract:The present study jointly determines the factors influencing decisions to diversify into multiple food crops (i.e., rice, yam and cassava) vis-à-vis profitability of 400 farmers from Ebonyi and Anambra states of Southeastern Nigeria using a multivariate Tobit model. Model diagnostic reveals that the decisions to diversify into multiple crops and profits generated therefrom are significantly correlated, thereby justifying use of a multivariate approach. Results reveal that 68% of the farmers grew at least two food crops and profitability is highest for only rice producers followed by joint rice and yam producers, which are mainly for sale. Farm size is the most dominant determinant of crop diversity vis-à-vis profitability. A rise in the relative price of plowing significantly reduces profitability of yam and rice. High yield is the main motive for growing yam and cassava whereas ready market is for rice. Other determinants with varying level of influences are proximity to market and/or extension office, extension contact, training, agricultural credit, subsistence pressure and location. Policy recommendations include investments in market infrastructure and credit services, land and/or tenurial reform and input price stabilization to promote food crop diversity vis-à-vis profitability in Southeastern Nigeria.

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Alternative cropping strategies for assured and efficient crop production in upland rainfed rice areas of eastern India based on rainfall analysis

Cited by 44 publications

References 3 publications

Agricultural Productivity Growth and the Role of Capital in South Asia (1980–2013)

Agricultural Productivity Growth and the Role of Capital in South Asia (1980–2013)

Crop diversification in Thailand: Status, determinants, and effects on income and use of inputs

Determinants of Food Crop Diversity and Profitability in Southeastern Nigeria: A Multivariate Tobit Approach

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