摘要
发展数字农业是推动农业农村现代化以及实现乡村全面振兴的必经之路,全面研判我国数字农业分布动态和收敛趋势具有重要政策意义。以2012—2021年中国31个省(区、市)的相关数据为基础,测算各省(区、市)数字农业动态发展水平,采用非参数核密度估计以及马尔可夫链转移矩阵揭示其分布动态演进趋势,基于变异系数法和空间面板模型开展σ收敛和β收敛分析阐释其空间收敛趋势。研究表明,我国数字农业发展水平总体呈上升趋势,但各区域空间差异较显著,总体呈现“东-中-西”由高到低的梯度分布格局;全国数字农业发展整体差距有扩大趋势且极化特征明显,且呈现较显著的收敛特征和空间效应。我国各地区应加大数字农业发展的资金投入,完善农业数字基础设施建设,因地制宜走特色数字农业发展之路,同时各区域间要加强数字农业跨区域、跨行业协同联动,优化和完善数字农业支持政策和保障体系,有效助推农业数字化转型。
Promoting the development of digital agriculture is an essential pathway to comprehensively revitalize rural areas and achieve agricultural and rural modernization.A comprehensive analysis of the distribution characteristics and development trends of digital agriculture in China is of significant policy importance.Based on relevant 2012-2021 data of 31 provinces and municipalities in China,the dynamic development levels of digital agriculture in each region were calculated.Non-parametric kernel density estimation and Markov chain transition matrices were employed to reveal the dynamic evolution trends of its distribution.Convergence analyses,includingσ-convergence andβ-convergence,were conducted using the coefficient of variation method and spatial panel models to interpret spatial convergence trends.According to the study,the overall development level of digital agriculture in China shows an upward trend,but significant spatial differences exist among regions,presenting a gradient distribution pattern from east to west.There is an increasing trend in the overall gap in the development of digital agriculture nationwide,with evident polarization characteristics and significant convergence features and spatial effects.Regions in China should increase financial investment in the development of digital agriculture,improve agricultural digital infrastructure,and adopt a path of characteristic digital agriculture development based on local conditions.Additionally,regions should strengthen cross-regional and cross-industry collaboration in digital agriculture,optimize and improve support policies,and establish an effective support system to facilitate the digital transformation of agriculture.
作者
郑准
匡琼
张凡
ZHENG Zhun;KUANG Qiong;ZHANG Fan(Business School,Hunan First Normal University,Changsha 410205,Hunan,China;School of Business Administration,Hunan University of Finance and Economics,Changsha 410205,Hunan,China)
出处
《中南林业科技大学学报（社会科学版）》
2024年第2期37-49,共13页
Journal of Central South University of Forestry & Technology（Social Sciences）
基金
国家社科基金项目(19BGL018)
湖南省自科基金面上项目(2021JJ30176)。
关键词
数字农业
分布动态
核密度估计
马尔可夫链
收敛性
digital agriculture
distribution dynamics
kernel density estimation
Markov Chain
convergence
