Mechanization services, factor allocation, and farm efficiency: Evidence from China<sup>†</sup>

Huan, Meili; Dong, Fengxia; Chi, Liang

doi:10.1111/rode.12892

Cited by 23 publications

(17 citation statements)

References 39 publications

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“…For the economic effect subsystem, the land productivity and labor productivity indicators increased significantly. This indicates that the gradual replacement of human labor with machinery for operation achieved a higher yield [28][29][30], positively impacting the TER in China. For the mechanical operation subsystem, the comprehensive mechanization level of rice cultivation, rice transplanter per unit area, and other indicators increased year by year, while the amount of seed per unit operation area, the amount of fertilizer per unit operation area, and other indicators fell.…”

Section: Comprehensive Ter Measurementmentioning

confidence: 95%

Constructing and applying an evaluation index system to assess the techno-economic effects of rice mechanization in China

Ouyang

Lin

Yao

2023

Preprint

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This paper applies the Wuli-Shili-Renli (WSR) methodology to construct an index system that evaluates the technical and economic effects of rice mechanization (TER). The system includes 26 indicators, and the study calculates the weight of each indicator using hierarchical analysis (AHP). The study also includes an empirical analysis of the TER in China and main producing provinces from 2008 to 2018. The study yielded the following key results. 1) The TER in China increased in its fluctuations from 2008 to 2018. 2) Land productivity and labor productivity increased significantly, positively contributing to the TER in China. Indicators such as seed usage per unit of operating area decreased steadily, negatively affecting the TER in China. The efficiency of agricultural machinery management and other organizations continued to improve during the study period, increasing the TER. 3) Most of the regions with high TER are located in the dominant main production areas in the northeast and the dominant main production areas in the Yangtze River basin. Most of the rice producing provinces in the southeast production areas ranked in the middle and lower levels. This paper concludes that the TER in China could be improved by improving the refinement of agricultural machinery operations, increasing the degree of large-scale land management in small-plot provinces such as Yunnan, and increasing the research and development of suitable agricultural machinery.

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Section: Comprehensive Ter Measurementmentioning

confidence: 95%

Constructing and applying an evaluation index system to assess the techno-economic effects of rice mechanization in China

Ouyang

Lin

Yao

2023

Preprint

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“…One is the Cobb-Douglas production function, which requires fewer parameters. But this is subject to the assumption of a constant elasticity of substitution and follows a restriction on constant returns to scale consumption (Huan et al, 2022). Another is the Translog production function which can overcome the constraint of the above assumption.…”

Section: Instrument Variablementioning

confidence: 99%

The impact of market-oriented cooperation on food production performance in small-scale farms in rural China

Zhang

Zhu²

2023

Front. Sustain. Food Syst.

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IntroductionSmall-scale farmers in developing countries can significantly contribute to sustainable food production through market-oriented cooperation (MOC). MOC allows farmers to access machinery services and specialized labor, but it also carries economic costs that may impact food production performance in small-scale farms. This study attempts to uncover the association between farmers' MOC participation and food production performance in small-scale farms in rural China, using a sample of 650 rice farmers in Jiangsu province.MethodsWe applied the stochastic frontier analysis to calculate the technical efficiency that indicates the production performance of small-scale farms. The treatment effect model is employed to detect the effect of farmers' MOC participation on technical efficiency, and the multivalued treatment effects model is used to explore the relationship between farmers' intensity of MOC and technical efficiency.ResultsThe results show that farmers' MOC participation significantly increases technical efficiency of small-scale farms, with an inverted U-shaped correlation between MOC participation intensity and technical efficiency. A heterogeneity analysis based on production phases reveals that farmers tend to adopt MOC in machinery-driven phases with higher priority than in labor-driven phases. MOC in labor-driven phases, such as seedling and spraying, presents negative effect on technical efficiency.DiscussionThese findings highlight the crucial role of MOC in food production performance in small-scale farms, and provide insights for designing MOC strategies in different production phases in order to facilitate sustainable food production in developing regions. This research addresses the need for solutions to improve food production sustainability under agricultural transformation in developing countries. It also touches on the challenges and opportunities that producers face in adopting new practices and participating in the modern food supply chain.

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“…Here SI i indicates the Simpson index of farm i; M i is the mediator, namely, AMT adoption and STFT adoption of farm i; X ki is a vector of other variables affecting agricultural technology adoption and CFAI, including factors such as farm household and farmer characteristics, farmland characteristics, region characteristics, policies, etc., following the existing studies [11,37,48]. ε i is a random error term.…”

Section: Mediation Modelmentioning

confidence: 99%

“…In the mediation model, we control for farm household and farmer characteristics, such as age, gender, education, social capital, technical guidance, fixed assets investment and region characteristics, following the existing literature [6,32,50]. Characteristics of farmland, such as the terrain and structure of cropland (evaluated by flat land ratio, sloped land ratio, hilly land ratio, paddy land ratio, and dry land ratio), are also included as they are considered as crucial factors affecting household decisions regarding farming techniques [48,[51][52][53]. Self-rated quality of cropland may also affect farmers' production decisions due to the endowment effects.…”

Section: Variables and Descriptive Statisticsmentioning

confidence: 99%

Land Fragmentation, Technology Adoption and Chemical Fertilizer Application: Evidence from China

Chi

Han

Huan

et al. 2022

IJERPH

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Although it has been widely recognized that land fragmentation has increased chemical fertilizer application, little is known about the role of technology adoption in mitigating these adverse effects. To empirically examine the relationship between land fragmentation, technology adoption and chemical fertilizer application, we developed a mediation model. We applied our analysis to a survey data set encompassing 1,388 farm-level samples collected in 14 Chinese provinces in 2019. Our study demonstrated that land fragmentation can not only directly increase chemical fertilizer application but also indirectly increase it by hindering the adoption of agricultural mechanization technologies (AMT’s) and soil testing fertilization technologies (STFT’s). Both are recognized as potent drivers of fertilizer use reductions. Moreover, the adoption of information and communications technologies (ICT’s) can help mitigate the negative effects of land fragmentation on technology adoption, thus reducing chemical fertilizer application intensity (CFAI). However, the direct effects of land fragmentation on CAFI was unaffected by ICT’s. Our findings suggest that ICT’s have revolutionized farmer recognition, promotion and adoption of agricultural technologies by increasing awareness and diffusion of agricultural technology information.

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Mechanization services, factor allocation, and farm efficiency: Evidence from China^†

Cited by 23 publications

References 39 publications

Constructing and applying an evaluation index system to assess the techno-economic effects of rice mechanization in China

Constructing and applying an evaluation index system to assess the techno-economic effects of rice mechanization in China

The impact of market-oriented cooperation on food production performance in small-scale farms in rural China

Land Fragmentation, Technology Adoption and Chemical Fertilizer Application: Evidence from China

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Mechanization services, factor allocation, and farm efficiency: Evidence from China†

Cited by 23 publications

References 39 publications

Constructing and applying an evaluation index system to assess the techno-economic effects of rice mechanization in China

Constructing and applying an evaluation index system to assess the techno-economic effects of rice mechanization in China

The impact of market-oriented cooperation on food production performance in small-scale farms in rural China

Land Fragmentation, Technology Adoption and Chemical Fertilizer Application: Evidence from China

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Product

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Mechanization services, factor allocation, and farm efficiency: Evidence from China^†