Abstract
Improving resource use efficiency is an effective way to accelerate the realization of “carbon emission peak” and “carbon neutrality.” To perform a thorough analysis of the temporal and spatial variations in Zhejiang’s agricultural sustainable development, the present study adopted the entropy weight TOPSIS method and built a RUE-based evaluation index system for sustainable agriculture. The system covered six evaluation aspects: agricultural resource endowment, the agricultural production and agricultural science and technology levels, and ecological, economic, and social benefits. Based hereon, the present study evaluated the agricultural sustainable development of Zhejiang province from 2013 to 2019, and that of its 11 prefecture-level cities and 25 national agricultural sustainable development pilot demonstration zones in 2019. The results showed that chronologically, Zhejiang made steady progress in its agricultural sustainable development from 2013 to 2019, despite slight fluctuations, and spatially, evident regional disparities were found across its 11 prefecture-level cities and 25 pilot demonstration zones. Moreover, resource use efficiency had a significant impact on agricultural sustainable development. Zhejiang’s practices in the efficient use of cultivated land, water resources, forest resources, agricultural labor force, agricultural material goods, and agricultural science and technology offer valuable references for sustainable agriculture worldwide.
Highlights
Climate change has become a major challenge for mankind, and China, as a champion of the idea of “community with a shared future for mankind,” has taken the initiative to reduce carbon emissions and contribute its share to climate change mitigation and sustainable development
3.2.1 Normalization of Indices The present study evaluates the temporal variation in Zhejiang’s agricultural sustainable development (ASD) from 2013 to 2019, and the spatial variation in sustainable agriculture across Zhejiang’s 11 prefecture-level cities and 25 national ASD pilot demonstration zones in 2019
TOPSIS is a method that identifies the geometrical distance of each alternative from the positive ideal solution (PIS) and the negative ideal solution (NIS), and ranks the alternatives based on their relative closeness to the ideal solution
Summary
Climate change has become a major challenge for mankind, and China, as a champion of the idea of “community with a shared future for mankind,” has taken the initiative to reduce carbon emissions and contribute its share to climate change mitigation and sustainable development. Improving the utilization efficiency of agricultural resources is an important way to achieve sustainable agricultural development; it is the inevitable path to achieving the “dual carbon” strategy, as well as a technical guarantee for the precise implementation of the government’s “emission reduction” policy This is necessary for China to attain the “carbon emission peak” on schedule, an important lever to ensure food security in the new era, an intrinsic nature of the quality development of modern agriculture, and an effective measure for rural revitalization and agricultural and rural modernization. Focusing on the intensive, recycled, and sustainable use of agricultural resources and low-carbon, efficient, safe, and sustainable development of agriculture, this study built an RUE-based hierarchical evaluation index system for sustainable agriculture and analyzed agricultural sustainability in Zhejiang Province by adopting the entropy weight TOPSIS method. CONSTRUCTION OF AN RUE-BASED HIERARCHICAL EVALUATION INDEX SYSTEM FOR SUSTAINABLE AGRICULTURE
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have