Technical efficiency and its determinants in China's hog production

Tian, Xu; Sun, Feifei; Ying-heng, Zhou

doi:10.1016/s2095-3119(14)60989-8

Cited by 56 publications

(52 citation statements)

References 36 publications

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“…One of the most important findings of our empirical study was that comparable technical efficiencies show a significantly increasing trend as farm sizes increase, which is in line with the results estimated by using livestock data from developed countries [13,14,16]. Although most studies focusing on China's livestock sector reveal that backyard farms are more technically efficient than larger-scale farms [8,11,12] as backyard farms can make full use of their labor resources and monitor their production activities more closely, larger-scale farms may become more efficient if cheap modern inputs are provided and labor constraints are relaxed [30]. Similarly, Uddin et al [31] used metafrontier productivity analysis and pointed out that the intensive production system had the closest distance to the technological frontier than extensive and traditional production systems.…”

Section: Resultssupporting

confidence: 87%

“…Following the method developed by Battese et al [21], O'Donnell et al [22], and Huang et al [23], this study adopted a two-step stochastic frontier approach to estimate group frontiers and the metafrontier, and to calculate comparable technical efficiency and technology gaps across groups. Table 2 presents the results of the group frontiers and the metafrontier based on Equation (1) and Equation (12). The estimated group frontiers show that all the inputs have significant positive impacts on hog outputs for all groups, excluding labor in the middle-scale and large-scale frontiers and other intermediate inputs in the backyard frontier.…”

Section: Resultsmentioning

confidence: 99%

“…These results indicated that structural changes from backyard to specialized farms might increase China's pork outputs. Tian et al [12] demonstrated that the technical efficiency of hog farmers showed a decreasing trend as the farm size increased, which may negatively impact further output growth of the hog sector.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the heterogeneity of technology across farm types, which may result in differentiated production frontiers, should be taken into consideration. Third, the current studies (excluding Tian et al [12]) mainly use macro data to estimate productivity where the data may be subject to over-reporting in production, and the underestimation of inputs [12,19,20].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Changing Structure and Sustainable Development for China’s Hog Sector

Zhang

Ying-heng

et al. 2017

Sustainability

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Supply shortages and competitive disadvantages are the main problems faced by China's hog sector. The non-essential import of pork products, triggered by competitive disadvantages, poses great challenges to hog farms. Structural changes are an important policy concern in China and elsewhere. Previous literature has ignored whether the ongoing structural changes from backyard to large farms can contribute to sustainable development. This study adopts the micro-level data of hog farms collected from Jiangsu Province, and uses a two-step metafrontier model and a primal system approach. The empirical results reveal that the ongoing structural changes are capable of boosting the growth in output in China's hog sector, since the stronger increase in comparable technical efficiency compensates for the inappropriate technology. Furthermore, the ongoing structural changes are also beneficial in the reduction of production costs and in improving competitiveness in China's hog sector. The decline in technical and allocative inefficiency costs, particularly for technical inefficiency costs, contributes to the cost advantage with the increasing farm size.

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Section: Resultssupporting

confidence: 87%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Changing Structure and Sustainable Development for China’s Hog Sector

Zhang

Ying-heng

et al. 2017

Sustainability

Self Cite

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“…(3) In terms of the research object, the focus was mainly on the country [32], province [33], and city [34]. There are few studies of cultivated land use efficiency in the main grain-producing areas.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring the Cultivated Land Use Efficiency of the Main Grain-Producing Areas in China under the Constraints of Carbon Emissions and Agricultural Nonpoint Source Pollution

2018

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Abstract:The carbon emissions and agricultural nonpoint source pollution constraints were incorporated into the input-output index system, and the epsilon-based measure (EBM) super efficiency model and global Malmquist-Luenberger (GML) index were used to measure the cultivated land use efficiency and changes in the total factor productivity (TFP) of cultivated land use in the main grain-producing areas in China from 1993-2016. The results indicate that: (1) from 1993 to 2016, the cultivated land use efficiency in the main grain-producing areas in China showed a tendency to fluctuate and increase, with obvious stage characteristics; however, the overall level was not high.(2) There is a significant difference in the cultivated land use efficiency under the constraints of carbon emissions and nonpoint source pollution in the main grain-producing areas in the different provinces, and low-efficiency provinces have higher input redundancy and undesired output redundancy than high-efficiency provinces. It can be observed that input redundancy and undesired output redundancy have a significant negative effect on cultivated land use efficiency. (3) The TFP of cultivated land use under the constraints of carbon emissions and nonpoint source pollution in China's main grain-producing areas is estimated by the GML index. The results show that the TFP of cultivated land use in the main provinces in the main grain-producing regions is greater than 1, indicating that the productivity levels of all the provinces in China's main grain-producing areas are increasing. From the perspective of the power sources in each province, global pure technological change (GPTC) and global scale technological change (GSTC) are the main driving forces for the TFP of cultivated land use, while global pure efficiency change (GPEC) and global scale efficiency change (GSEC) are the bottlenecks for increasing the TFP of cultivated land use.

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What kinds of subsidies affect technical efficiency? The case of Italian dairy farms

Agostino,

Comert,

Demaria

et al. 2023

Agribusiness

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The relationship between subsidies and the technical efficiency of farms has important policy implications. The impact on efficiency can depend on the type of grant. Here, three macrocategories of subsidy are distinguished. With reference to a large sample of Italian dairy farms, the macrocategory of rural development payments is further broken down according to the main types of subsidy received. A stochastic frontier analysis based on the Farm Accountancy Data Network reveals a heterogeneous influence of these categories. Subsidies coupled with production are associated with greater efficiency. Decoupled grants have a negative influence on efficiency when pursuing agri‐environmental policy objectives, and no impact on efficiency when supporting the income of farms or promoting the transfer of knowledge and competitiveness. [EconLit Citations: C13, Q12].

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Technical efficiency and its determinants in China's hog production

Cited by 56 publications

References 36 publications

Changing Structure and Sustainable Development for China’s Hog Sector

Changing Structure and Sustainable Development for China’s Hog Sector

Measuring the Cultivated Land Use Efficiency of the Main Grain-Producing Areas in China under the Constraints of Carbon Emissions and Agricultural Nonpoint Source Pollution

What kinds of subsidies affect technical efficiency? The case of Italian dairy farms

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