Determinants of Technical Efficiency in Post-Collective Chinese Agriculture: Evidence from Farm-Level Data

Liu, Zinan; Zhuang, Juzhong

doi:10.1006/jcec.2000.1666

Cited by 79 publications

(65 citation statements)

References 40 publications

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“…Thus, as indicated by Helfand (2003), it seems that, in fact, in Brazil, access to credit would lead establishments to choose the most appropriate combinations of inputs and outputs, facilitating the employment of superior crop qualities and acquisition of information necessary for a better performance. This is a result, although not unanimous (e.g., Broca, 1997;Solís et al, 2009), also found in empirical applications concerning other regions (e.g., Liu;Zhuang, 2000;Abdulai;Eberlin, 2001). …”

Section: Model For Inefficiency Effectssupporting

confidence: 56%

“…With regard to the age of producers, Battese and Broca (1997) found an inverse relationship of this variable and technical efficiency, while Hadley (2006) found a direct relationship. Liu and Zhuang (2000) and Abdulai and Eberlin (2001), besides the age of the producer, included in the model for inefficiency effects the square of that variable, in order to control for non-linear lifecycle effects. Both studies found that the technical efficiency of the farms would increase with the age of the producer until it reaches about 40 years old, decreasing thereafter.…”

Section: Model For Technical Inefficiency Effectsmentioning

confidence: 99%

“…Thus, credit restriction would decrease the efficiency of producers by limiting the adoption of innovations such as the use of more productive crop varieties and better inputs, as well as the acquisition of information necessary for better performance. As indicated by Liu and Zhuang (2000), in particular small producers in developing countries do not seem to adopt seemingly economically justifiable innovations because of their risk aversion -in these circumstances, access to credit, to mitigate risk, encourage the innovation and thereby promote increased technical efficiency. However, it is possible that credit has no effect on efficiency if it simply replaces other sources of funding, such as, for example, producers' saving (Abdulai;Eberlin, 2001), or if it is destined for consumption (Chavas et al, 2005).…”

mentioning

confidence: 99%

“…In the literature on the Brazilian case, Helfand and Levine (2004) found a positive effect on the efficiency, while Nogueira (2005) found negative and Magalhães et al (2011) have not found conclusive results. As examples of applications in other areas of the world, Liu and Zhuang (2000) and Abdulai and Eberlin (2001) found positive effect on efficiency and, on the other hand, Battese and Broca (1997) and Solís et al (2009) found no significant parameters for the variable corresponding to credit access in their works.…”

mentioning

confidence: 99%

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Production Efficiency of Family Farms and Business Farms in the Brazilian Regions

2012

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This paper aims to analyze the technical efficiency of farms in Brazil and its regions, based on the data from the 2006 Census of Agriculture. More specifically, it seeks to compare the technical efficiency of family farms in relation to business farms, considering the regional differences in the country. To do so, one simultaneously estimated, under different assumptions, stochastic production frontiers and inefficiency effects models. Thus, it was possible to measure the technical efficiency of farms, as well as analyze the influence of factors related to the production environment, allowing the indication of public policies aimed at improving the performance of producers. In the empirical estimation, it was observed, as expected, lower technical efficiency for family farms. In regional terms, with respect to the technical efficiency of business farms, the South region of Brazil stood out, also presenting, along with the Midwest region, the highest efficiency rates for family farms, on average. Regarding the influence of production environment, it was found that formal education and access to credit are noteworthy as important factors for the technical efficiency of Brazilian agriculture.

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Section: Model For Inefficiency Effectssupporting

confidence: 56%

Section: Model For Technical Inefficiency Effectsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Production Efficiency of Family Farms and Business Farms in the Brazilian Regions

2012

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“…He also observes that educational level, association membership of farmer and access to the credit create significant and positive influences on farmers' efficiency. Cramer and Wailes (1996), Cheng (1998) and Liu and Zhuang (2000) also support that the education level is positively correlated with the production efficiency in agriculture sector.…”

Section: Introductionmentioning

confidence: 84%

Technical Efficiency of Agricultural Farms in Khulna, Bangladesh: Stochastic Frontier Approach

Haider

Ahmed²,

Mallick³

2011

IJEF

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This paper uses the stochastic frontier approach to measure technical efficiency level of the agricultural farms of Khulna, Bangladesh. It considers three sub-sectors: rice cultivation, fish cultivation and livestock rearing. About 76%, 81%, and 73% variations in output are due to technical inefficiency for the farms of the three sub-sectors, respectively. The highest variation in output (due to inefficiency) is found in the fish cultivation sub-sector. The sample farms are operating at an inefficient level and the inefficiency level decreases over time for the sub-sectors. The farming experience of the farmers and the availability of the credits significantly and positively affect the efficiency level of the farms. This study finds the necessity of redefining and redesigning the credit instrument for maintaining sustainability in the long run. It is also found that all the three sub-sectors have a chance to increase their production level with the same set of technology.

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Smallholder farmers’ climate change adaptation practices contribute to crop production efficiency in southern Ethiopia

Sedebo

Abebe

et al. 2021

Agronomy Journal

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Climate-smart practices that have added benefits of improving agricultural productivity are an imperative for improving smallholder farming. However, there are few insights into how smallholder climate-smart adaptation practices influence their technical (in)efficiency. Thus, the objective of this study was to evaluate the impact of smallholders' climate-smart adaptation practices on their crop production technical efficiency (TE) in the Lemo district of southern Ethiopia. We used focus group discussion, experts' consultations and household survey to collect data from 600 smallholder crop producers across six rural kebeles. We computed smallholder farmers' climate change adaptation indices based on experts' consultations and estimated the TE of the smallholder farmers using Stochastic Frontier Analysis. The smallholder farmers in the Lemo district have adopted climate-smart agricultural practices such as terracing, crop diversification, improved soil amendment practices, varying planting or harvesting schedules, and crop rotation. The smallholder farm households practicing more adaptation strategies on a larger scale were more technically efficient than their counterparts with their TE averaging 11.31, 8.62, and 6.71% for major crops, wheat (Triticum aestivum L.), and teff [Eragrostis tef) (Zucc.) Trotter] production, respectively. Our model also revealed that adaptation to climate change has a positive and significant contribution to the technical efficiency of major crops, wheat, and teff production. Other key determinants of TE are farming experience, education, access to extension services, livestock holdings, and farm household income.Overall, our study suggests a policy shift to promote smallholder farmers adaptation to climate change using climate-smart practices for an effective response to climate change impact while enhancing TE.

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Determinants of Technical Efficiency in Post-Collective Chinese Agriculture: Evidence from Farm-Level Data

Cited by 79 publications

References 40 publications

Production Efficiency of Family Farms and Business Farms in the Brazilian Regions

Production Efficiency of Family Farms and Business Farms in the Brazilian Regions

Technical Efficiency of Agricultural Farms in Khulna, Bangladesh: Stochastic Frontier Approach

Smallholder farmers’ climate change adaptation practices contribute to crop production efficiency in southern Ethiopia

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