%0 Journal Article
%T 江苏农业强省评价指标构建与建设水平时空对标分析
Construction of Evaluation Indicators for Jiangsu as a Leading Agricultural Province and Analysis of Spatial and Temporal Benchmarking of Construction Levels
%A 陆成琳
%A 戴盼倩
%J E-Commerce Letters
%P 2331-2344
%@ 2168-5851
%D 2025
%I Hans Publishing
%R 10.12677/ecl.2025.141292
%X 为了全面评估江苏农业强省建设的水平，构建了江苏农业强省评价指标体系，具体包括综合产能、结构优化、绿色发展、竞争能力、乡村建设5个维度24个指标，并选择熵权法确定权重。利用江苏省2013~2022年的农业数据，对江苏农业强省建设水平进行了时间维度上的对比分析，并结合黑龙江、安徽、山东、河南、四川五个农业大省2022年的农业数据，进行了空间维度的对比分析。实证研究表明：2013~2022年，江苏农业强省建设水平呈现稳步上升的态势，从2013年的0.21提升至2022年的0.546。其中，综合产能发展一直处于上游，而结构优化水平从2013年的第一逐渐下降至2022年的最后一名，发展相对滞后。与其他农业大省对比中，江苏综合得分排名第二，但结构优化和绿色发展水平相对较低，未来江苏农业强省建设需要重点关注优化农业产业结构以及加快发展绿色农业。
In order to comprehensively assess the level of Jiangsu’s strong agricultural province construction, the evaluation index system of Jiangsu’s strong agricultural province was constructed, specifically including 24 indicators in five dimensions, namely, comprehensive production capacity, structural optimisation, green development, competitiveness, and rural construction, and the entropy weight method was chosen to determine the weights. Using the agricultural data of Jiangsu Province from 2013~2022, a comparative analysis of the construction level of Jiangsu’s strong agricultural province was conducted in the time dimension, and a comparative analysis in the spatial dimension was conducted by combining the agricultural data of five large agricultural provinces, namely, Heilongjiang, Anhui, Shandong, Henan, and Sichuan, in 2022. The empirical study shows that from 2013 to 2022, the construction level of Jiangsu’s strong agricultural province shows a steady increase, from 0.21 in 2013 to 0.546 in 2022. Among them, the development of comprehensive production capacity has been in the upper reaches, while the level of structural optimisation has gradually declined from the first place in 2013 to the last place in 2022, with a relatively lagging development. In the comparison with other agricultural provinces, Jiangsu ranks second in the comprehensive score, but the level of structural optimisation and green development is relatively low. In the future, the construction of Jiangsu as a strong agricultural province needs to focus on optimising the structure of the agricultural industry as well as accelerating the development of green agriculture.
%K 农业强省，
%K 评价指标，
%K 熵权法，
%K 江苏省
Strong Agricultural Province
%K Evaluation Index
%K Entropy Weight Method
%K Jiangsu Province
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=105474