Cobb-Douglas Production Function For Measuring Efficiency in Indian Agriculture: A Region-wise Analysis

Ghoshal, Pia; Goswami, Bhaskar

doi:10.5958/0976-4666.2017.00069.9

Cited by 17 publications

(14 citation statements)

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“…To ensure that the estimated meta-frontier is greater or equal to the scheme frontiers, the TGR is always less or equal to unity. The model was estimated using the Cobb-Douglas and Translog production functions as they are commonly used in efficiency studies in agriculture (Ghoshal and Goswami, 2017;Makombe et al, 2017;Sujan et al, 2017;Njuki and Bravo-Ureta, 2018). The estimated inefficiency models are given by equation 8, as: where U j i represents the inefficiency of a water-user in the jth irrigation scheme, O 0 represents the constant term, W j represent the exogenous variables in the model and O j i represents unknown parameter estimates.…”

Section: Empirical Methods Of Evaluating Technical E Ciency Of Water-...mentioning

confidence: 99%

Evaluation of water-user performance in smallholder irrigation schemes in KwaZulu-Natal Province, South Africa: A stochastic meta-frontier analysis

Phali

Mudhara

Makombe

2022

Front. Sustain. Food Syst.

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Smallholder Irrigation Schemes (SIS) are pivotal in sustaining livelihoods and creating employment in rural communities of South Africa. However, despite the revitalization and rehabilitation of SIS by the government, the performance of farmers is still below par. This study evaluates the performance of water-users across four SIS in KwaZulu-Natal Province (KZN). Technical Efficiency was used as a proxy for performance and the Stochastic Meta-Frontier Analysis method was employed to measure the overall efficiency across 306 households. The efficiency model results showed that governance index, psychological capital, land tenure security, credit access and gender affect water-users' technical efficiency. The study concludes that interventions should be geared toward strengthening institutions and the empowerment of farmers through relevant training and access to credit. Furthermore, adequacy of water and its availability in the schemes should be improved to ensure profitability and productivity of water.

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Section: Empirical Methods Of Evaluating Technical E Ciency Of Water-...mentioning

confidence: 99%

Evaluation of water-user performance in smallholder irrigation schemes in KwaZulu-Natal Province, South Africa: A stochastic meta-frontier analysis

Phali

Mudhara

Makombe

2022

Front. Sustain. Food Syst.

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“…Most scientific publications considered data for a number of years (the so-called time series). For example, in the article (Ghoshal and Goswami, 2017), according to the agricultural sector of India, the efficiency of farms was evaluated using the Cobb-Douglas production function. When constructing this function, data for the period from 2005 to 2014 were analyzed.…”

Section: Literature Reviewmentioning

confidence: 99%

Production Functions for Assessing the Volumes of Agricultural Production in the Regions of Russia

Pinkovetskaia¹,

Arbeláez-Campillo²,

Rojas-Bahamón³

2022

MNJE

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The study was based on the development of production functions that characterize the activities of agricultural enterprises in the regions of Russia. Official statistical information on 65 regions of Russia for 2017 and 2018 was used. The conducted research made it possible to identify factors (investments in fixed assets and wages of employees) that affect the volume of production in the agricultural sector in the regions of Russia and suggest using two-factor production functions of high quality to describe this influence. It is proved that the economy of the country's regions has not reached saturation with agricultural products and there are significant reserves for further development of this sector. The developed production functions are effective management tools that allow assessing the level of use of financial and labor resources. The acquired new knowledge and tools for assessing the activities of agriculture in the Russian regions are of scientific and practical importance. They can be used in research of the agricultural sector of the economy, monitoring of production volumes, in determining the needs for resources necessary for the development of agriculture, substantiating plans and programs for its development.

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“…e Cobb-Douglas functional form and key predictor variables were mentioned earlier to construct a general model for NEG [43,85]. Initial inputs are represented by the installed capacity of solar, wind, geothermal, and biofuel.…”

Section: Stochastic Frontier Analysis (Sfa)mentioning

confidence: 99%

Towards Green Economics and Society: Exploring the Efficiency of New Energy Generation

Chen

et al. 2021

Mathematical Problems in Engineering

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In recent years, solar and wind energy have been increasingly abandoned due to the blind expansion of the new energy industry. Due to the competitive relationships between different types of new energy, reasonable industrial development planning needs to be implemented to not only save the cost of government subsidies but also clarify the investment direction of social capital. Based on the panel data of OECD countries between 2006 and 2018, the stochastic frontier analysis (SFA) was used to measure the efficiency of new energy generation (NEG) and the influencing factors were analyzed in this paper. Results were as follows: the efficiency of NEG in OECD countries is improving; the efficiency of NEG is positively correlated with technical innovation, government policies, economic level, and education level and negatively correlated with urbanization. Based on the empirical results of this study, problems in the development of the new energy industry have been discussed and suggestions to improve the efficiency of NEG have been proposed.

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Cobb-Douglas Production Function For Measuring Efficiency in Indian Agriculture: A Region-wise Analysis

Cited by 17 publications

References 0 publications

Evaluation of water-user performance in smallholder irrigation schemes in KwaZulu-Natal Province, South Africa: A stochastic meta-frontier analysis

Evaluation of water-user performance in smallholder irrigation schemes in KwaZulu-Natal Province, South Africa: A stochastic meta-frontier analysis

Production Functions for Assessing the Volumes of Agricultural Production in the Regions of Russia

Towards Green Economics and Society: Exploring the Efficiency of New Energy Generation

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