Agricultural Diversification and its Impact on Farm Income: A Case Study of Bihar

Sen, Bineeta; Venkatesh, P.; Jha, Girish Kumar; Singh, Dharam Raj; Suresh, A.

doi:10.5958/0974-0279.2017.00023.4

Cited by 19 publications

(13 citation statements)

References 18 publications

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“…The positive sign of FWU/AWU indicates a reduction of the efficiency as family work units increase; this is in line with literature findings [19], which emphasizes how an increase in the incidence of family work is linked to worse performances in terms of efficiency. IrrUAA/UAA is significant, but only at 10% level; the possibility of irrigating increases land profitability [11], and, as a consequence, farm efficiency.…”

Section: Panel Tobit Regression Resultsmentioning

confidence: 93%

“…The role of irrigation in farm diversification is considered relevant because of the important role it plays in determining the land capital and the profitability of farms [11]. A large body of literature has investigated the effects of irrigation development and its impact on income diversification, above all in rural and less-favoured areas, if irrigation systems are feasible [12].…”

Section: Literature Backgroundmentioning

confidence: 99%

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Highlighting the Drivers of Italian Diversified Farms Efficiency: A Two-Stage DEA-Panel Tobit Analysis

et al. 2021

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Farm diversification is an important phenomenon in agricultural systems and rural development in Europe, pursuing economic, social and environmental goals. For the sustainability of diversified farms, it is important to analyse some drivers affecting farm efficiency, for instance, socio-economic, technical and policy drivers. The efficiency performance of a panel of Italian farms practising other gainful activities in the period 2012–2017 was investigated and regressed against the drivers that mostly affects farm performances. FADN data and a two-step approach were used. An output-oriented Data Envelopment Analysis was applied; in the second step, efficiency scores were used as a dependent variable in a panel Tobit regression analysis used to determine differences in the significance of drivers. Social, economic, technical and policy drivers were considered as explanatory variables. Results show margins for improving farms performances. The incidence of the output from other gainful activities has been proven to positively affect farms efficiencies, while intermediate costs are the most negatively impacting factor. As regards policy variables and implications, the significance of localization in mountain disadvantaged territories further supports the relevance of EU subsidies in less-favoured areas. Managerial implications in terms of technical, structural and economic indicators can be drawn from study findings.

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Section: Panel Tobit Regression Resultsmentioning

confidence: 93%

Section: Literature Backgroundmentioning

confidence: 99%

Highlighting the Drivers of Italian Diversified Farms Efficiency: A Two-Stage DEA-Panel Tobit Analysis

et al. 2021

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“…The Simpson diversity index was adopted by several authors to analyze agricultural diversity (Sambuichi et al, 2016;Sen et al, 2017;Piedra-Bonilla et al, 2020a;Bellon et al, 2020). According to Magurran (1988), the Simpson index indicates the probability that any two individuals drawn at random from an infinitely large community belong to different species.…”

Section: Agricultural Diversification Indexmentioning

confidence: 99%

“…Another important decision by farmers is about which crops they will produce in a given period of time (safra). The decision on which products will be produced and in what quantity involves an analysis of the socio-economic and physical environment, considering the characteristics of farmers and agricultural properties, the resources and technologies available, the demand and prices of different products, the incentives received, the natural characteristics of the production region (Anwer et al, 2019;Benin et al, 2004;Sen et al, 2017;Culas & mahendrarajah, 2005;Donfouet et al, 2017;Waha et al, 2018;Davis et al, 2012;Bellon et al, 2020).…”

Section: Empirical Strategymentioning

confidence: 99%

Determinants of agricultural diversification in Brazil: a spatial econometric analysis

Parré

Chagas

2022

Lett Spat Resour Sci

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This research has as main objective to analyze the behavior and the importance of agricultural diversification for Brazil, considering its States, for the period from 2002 to 2018. We will propose an analytical model to make it possible to identify the determinants of agricultural diversification in Brazil. Empirically, the study will proceed by estimating an SLX model using panel data and considering the spillover effects, highlighting the importance of location and neighborhood. The study's findings indicate a continued decline in crop diversity with a strong tendency to productive specialization in Brazilian agriculture, mainly in the states located in the Midwest and South regions of the country. The average rates of growth of the indexes presented negative values for the period of analysis: -0.41 % per year for the Simpson index, -0.58% per year for the Shannon index and -0.91% per year for the effective number of crops. It is important to note that some states are allocating practically the entire agricultural area to three or four dominant crops. As for the determinants of agricultural diversification, the results for Brazil are in line with the specialized literature.

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“…Agricultural diversification as a strategy connects different logic viz. risk minimization, sustainability or high production depending on the intention of the farmer (Sen et al, 2017). The main advantage of the study of diversification in a region lies in the fact that it enables us to understand the impact of physical and socio-economic conditions on the agriculture.…”

Section: Introductionmentioning

confidence: 99%

Horizontal Diversification Comprising Differential Agri-horticultural and Livestock Production in Hilly and Terai Region of West Bengal

Lama¹,

Ghosh²,

Awatade³

2018

IJBSM

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The present study was undertaken to assess the extent of horizontal diversification comprising different growth rate of agri-horticultural crops along with livestock and fish production in the hilly and terai region of West Bengal for the period of 2003-2015. The study was measured based on cumulative annual exponential growth rate (CAEGR) including Simpsons Diversity Index (SID). The study revealed that the area under food grains in the both the region has declined and the area under finer cereals has also increased but the increase in SID values signifying shift towards non-food grain crops like fruits, flowers, vegetables, etc. along was clearly observed. The highest level of extent in increase of SID values was found in flowers (8.96) in hilly and (4.20) in terai region. In hilly region, there has been an extent of decrease in SID values in terms of different livestock and fish production. While, in terai region, it is observed that there has been an extent of increase in SID value in terms of different livestock and fish production. In contrast, growth rate of area under the production of different agri-horticultural crops and livestock and fish production was found positive in hilly region. On the other hand, in terai region, it is revealed that the growth rate of area under the major horticultural based crops likes vegetables and fish production was found negative. Growth rate of area under agricultural crops and livestock production was found positive.

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Agricultural Diversification and its Impact on Farm Income: A Case Study of Bihar

Cited by 19 publications

References 18 publications

Highlighting the Drivers of Italian Diversified Farms Efficiency: A Two-Stage DEA-Panel Tobit Analysis

Highlighting the Drivers of Italian Diversified Farms Efficiency: A Two-Stage DEA-Panel Tobit Analysis

Determinants of agricultural diversification in Brazil: a spatial econometric analysis

Horizontal Diversification Comprising Differential Agri-horticultural and Livestock Production in Hilly and Terai Region of West Bengal

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