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Study on Factors Affecting the Agricultural Mechanization Level in China Based on Structural Equation Modeling

College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China
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Sustainability 2019, 11(1), 51; https://doi.org/10.3390/su11010051
Received: 1 November 2018 / Revised: 11 December 2018 / Accepted: 17 December 2018 / Published: 21 December 2018
The subsidy policy for the purchase of agricultural machinery and China’s Agricultural Mechanization Promotion Law have been implemented since 1998 and 2004, respectively. The goal of the policy and the law is to improve the agricultural mechanization level (AML) in China. Policymakers expect that the AML could be increased by improving the agricultural equipment level (AEL). The AML in China is affected by many factors. However, only a few studies have investigated the effects of the AEL on the AML. To fill this gap, we built an integrative conceptual framework and estimated a corresponding structural equation model (SEM) using the relevant data collected from 30 provinces (cities and districts) in mainland China. The relevant data cover the years from 2001 to 2014. There are six factors in our framework, including AEL, level of economic development, land resource endowment, benefit factors, policy and environmental factors, and demographic factors. The results showed that the AEL had the greatest impact on the AML. The level of economic development, the demographic factors, and the benefit factors not only directly affected China’s AML but also indirectly affected the AML through the AEL. Meanwhile, land resource endowment and policy and environmental factors had only an indirect effect on the AEL. This report can be used to inform the government that the improvement of the AEL is one of the important ways to achieve the comprehensive mechanization of China’s agriculture, that the agricultural machinery purchase subsidies must still be enhanced and that the enforcement of China’s Agricultural Mechanization Promotion Law must still be strengthened. View Full-Text
Keywords: agricultural mechanization level; agricultural equipment level; affecting factors; subsidy policy for purchase; structural equation modeling; China agricultural mechanization level; agricultural equipment level; affecting factors; subsidy policy for purchase; structural equation modeling; China
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Li, W.; Wei, X.; Zhu, R.; Guo, K. Study on Factors Affecting the Agricultural Mechanization Level in China Based on Structural Equation Modeling. Sustainability 2019, 11, 51.

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