2024
DOI: 10.3390/su16052073
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Assessing the Drivers of Sustained Agricultural Economic Development in China: Agricultural Productivity and Poverty Reduction Efficiency

Jianlin Wang,
Junbo Tong,
Zhong Fang

Abstract: Poverty eradication is a crucial element of SDG 1. Whether the financial resources invested by the Government provide a critical impetus for deeply impoverished rural areas needs to be studied by quantitative analysis. Therefore, this study presents a theoretical analytical framework for agricultural production–government poverty reduction. It divides the poverty reduction process into two stages, agricultural production and poverty reduction, from the perspective of sustainable agricultural development. The c… Show more

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Cited by 3 publications
(2 citation statements)
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“…[36]The government plays an important role in development and the economy, ultimately improving societyʹs welfare. [37]. Regional financial efficiency varies from inefficient to highly efficient.…”
Section: Discussionmentioning
confidence: 99%
“…[36]The government plays an important role in development and the economy, ultimately improving societyʹs welfare. [37]. Regional financial efficiency varies from inefficient to highly efficient.…”
Section: Discussionmentioning
confidence: 99%
“…In this study, on the basis of fully considering the impact of governmental inputs on agricultural infrastructure, and referring to the existing research results 60 62 , in the second stage of the model, the “index of infrastructure for sustainable development of agriculture” was used as the expected output to be included in the analytical framework. In the second stage of the model, the expected output of “Sustainable Agricultural Development Infrastructure Index” is incorporated into the analytical framework, which consists of five secondary indicators, including postal and telecommunication facilities, ecological and environmental facilities, water resources and water supply and drainage facilities, energy and power facilities, and road transportation facilities, and covers 22 specific sub-indicators.…”
Section: Methodsmentioning
confidence: 99%