Abstract
Sustainable agriculture is a vital part of the UN Sustainable Development Goals. While tremendous achievements in the agriculture sector in China have been made, a series of problems are challenging the sustainable development of the agriculture management and agriculture economy. In this paper, the level of sustainable agriculture development was evaluated by constructing an entropy-TOPSIS model. The sustainable agricultural development level evaluation system was subsequently established, including 4 first-level criteria (economy, society, environment and resources) and 25 second-level criteria. Corresponding data on 13 cities in Jiangsu Province, China (from 2016 to 2019) were collected. Moreover, the main obstacle factors restricting the sustainable agriculture development level were analyzed through the obstacle diagnosis model. The Tobit regression model was established for an empirical study on its influencing factors. The results showed that the agricultural sustainable development level in Jiangsu Province is going upward, and the development level gaps between various prefecture-level cities are narrowing; the output values in agriculture, forestry, animal husbandry and fishery services, per capita disposable income of farmers and other aspects are the main obstacle factors for agricultural sustainable development. The research objective of this paper was to improve the index system of agricultural sustainable development, analyze the influencing mechanism and obstacle factors, and explore the promotion path of agricultural sustainable development in Jiangsu by optimizing the spatial layout. The main innovation of this paper was bringing the five interrelated and interactive dimensions of “economy, society, environment, ecology, and resources” into the same analytical framework to analyze the concept and connotation of agricultural sustainable development.
Highlights
Industrial technologies such as chemical fertilizers, insecticides and mechanical equipment have been introduced into agricultural production to meet the growing population’s demand for food (Ashraf et al, 2021)
The basic index data came from Jiangsu Statistical Yearbook; and the Environmental index data came from the announcement of environmental conditions of cities
Eqs 1, 13 were calculated to evaluate the sustainable agriculture development level (SADL) in Jiangsu Province and partition the sustainable development according to Eq 14; afterwards, a diagnostic model was established according to Eq to analyze the obstacle factors for agricultural sustainable development; besides, the Tobit regression model was established according to Eq for the empirical study of influencing factors for agricultural sustainable development
Summary
Industrial technologies such as chemical fertilizers, insecticides and mechanical equipment have been introduced into agricultural production to meet the growing population’s demand for food (Ashraf et al, 2021). This kind of integrated operations damage the soil, water, air and native habitats for the agricultural sector (Sharma et al, 2018). SA enhances the environmental friendliness of various agricultural operations and performance (Nowak et al, 2019; Sharma et al, 2020). Many SA practices maximize productivity while minimizing environmental damage (Raliya et al, 2017; Adegbeye et al, 2020). SA has played a notable role in sustaining all human activities (Barrios et al, 2020)
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