Spatiotemporal evolution and influencing factors of the development level of agricultural modernization in Shandong province
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摘要: 农业现代化是建设现代化农业强国的必要条件, 探索农业现代化发展水平以利于加快推进农业现代化进程。文章测度山东省及其16地市农业现代化发展水平, 借助探索性空间数据分析法分析时空演化, 引入障碍度模型和空间计量模型探索内部制约因素和外部驱动因素。结果表明: 1) 2010—2020年山东省农业现代化发展水平和生产投入、产业经营、质量效益、绿色发展、农村社会子系统发展水平得分呈波动上升趋势, 其中产业经营子系统发展较快, 生产投入和质量效益子系统发展不稳定; 各地市农业现代化发展水平形成“高却不稳”和“低水平陷阱”分异, 多数地市内部结构逐渐均衡, 以经营引领和社会引领类型为主。2)农业现代化发展高水平等级集聚在东部沿海地区并向内陆地区扩张, 低水平等级集聚于鲁南5市。3)电气化水平制约80%以上地市农业现代化发展水平, 医疗条件制约多数农业现代化发展低水平的地市, 生产投入型制约因素逐渐转化为产业和产出型制约因素; 城镇化水平、科技水平、教育投入和经济发展水平都显著正向影响农业现代化发展水平, 科技水平、教育投入具有显著的空间溢出效应。因此, 应因地制宜发挥优势, 协调内部均衡发展, 加强区域合作交流, 减少内部因素制约并强化外部要素驱动及外溢效应。Abstract: China has to achieve the goal of fully building a socialist modern power by 2050. Agricultural power is the foundation of a socialist modern power, and agricultural modernization is a necessary condition for building a modern agricultural power. Shandong Province is the first major agricultural province in China with a total output value of agricultural, forestry, animal husbandry, and fishery (valued at 1019.06 billion yuan) exceeding one trillion yuan. Exploring the spatiotemporal evolution and influencing factors of the development level of agricultural modernization in Shandong Province can help accelerate the development process of agricultural modernization, provide scientific basis for realizing the transformation from a major agricultural province to a modern agricultural province, and provide reference for development planning for other regions to achieve agricultural modernization. The existing research neglects the heterogeneity analysis of the internal structure evolution and key constraints of regional agricultural modernization development level, lacks the temporal and spatial analysis of the evolution of agricultural modernization development level, and does not explore the external factors that affect the development level of agricultural modernization. This article uses a multi objective comprehensive measure to evaluate the development level of agricultural modernization in Shandong Province and 16 cities, analyzes the spatiotemporal evolution using exploratory spatial data analysis methods, and introduces obstacle model and spatial econometric model to explore internal constraints and external drivers. The results show that: 1) The development level of agricultural modernization in Shandong Province and the scores of production inputs, industry and operation, output benefits, green development, and rural community subsystems show a fluctuating upward trend from 2010 to 2020, with the rapid development of industry and operation subsystems being prominent, but the development of production inputs and output benefits subsystems is unstable; The development level of agricultural modernization in various regions and cities has formed differences between “high but unstable” and “low-level traps”. The internal structure of most regions and cities is gradually balanced, with the main types of business and social leadership. 2) The spatial manifestation is significant spatial agglomeration. High levels of agricultural modernization development are concentrated in the eastern coastal areas and expanding to inland areas, while low levels are gradually concentrated in the five cities of southern Shandong. There is an abnormal spatial distribution at the junction of high level and low level clusters. 3) The level of electrification restricts the development level of agricultural modernization in more than 80% of prefectures and cities, while medical conditions restrict most prefectures and cities with low levels of agricultural modernization. Input type constraints gradually transform into industrial and output type constraints; Urbanization level, science and technology level, education investment, and economic development level all significantly and positively affect the development level of agricultural modernization, among which science and technology level and education investment have significant spatial spillover effects. Therefore, it is necessary to take advantage of local conditions, coordinate internal balanced development, strengthen regional cooperation and exchange, reduce internal constraints and strengthen external factor driving and spillover effects.
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图 4 山东省各地市农业现代化结构分布
雷达图线条颜色依据年份逐渐加深; A1、A2、A3、A4、A5分别表示生产投入、产业经营、质量效益、绿色发展、农村社会子系统。The line color of radar chart is gradually deepening with year. A1, A2, A3, A4 and A5 respectively represent production input, industry and operation, output benefit, green development and rural community subsystems.
Figure 4. Distribution of agricultural modernization structure in Shandong Province
表 1 农业现代化发展水平评价指标体系
Table 1. Evaluation index system of agricultural modernization development level
一级指标
First-level indicator二级指标
Secondary indicator指标定义
Definition属性
Index attribute生产投入
Production input机械化程度
Mechanization degree单位耕地面积机械总动力
Total mechanical power per unit cultivated area+ 水利化程度
Water conservancy degree有效灌溉面积占耕地面积比重
Proportion of effective irrigation area to cultivated land area+ 电气化程度
Electrification degree农村人均用电量
Rural electricity consumption per capita+ 科技化发展
Scientific and technological development农林牧渔业研发经费占农林牧渔业增加值比重
Proportion of R&D funds for agriculture, forestry, animal husbandry and fishery in the added value of agriculture, forestry, animal husbandry and fishery+ 产业经营
Industry and operation规模生产程度
Scale production degree户均耕地面积
Cultivated area per household+ 农林牧渔服务业效率
Efficiency of agriculture, forestry, animal husbandry and fishery services农林牧渔服务业产值占农林牧渔业总产值比重
Proportion of output value of agriculture, forestry, animal husbandry and fishery services in total output value of agriculture, forestry, animal husbandry and fishery+ 经营管理能力
Operation and management ability普通高中在校人数+中专在校人数
Number of students in ordinary high schools and number of students in technical secondary schools+ 产业融合潜力
Industrial integration potential第一产业产值占总产值比重
Proportion of output value of primary industry in total output value− 产业结构优化
Optimization of industrial structure畜牧业产值占农林牧渔总产值比重
Proportion of output value of animal husbandry in total output value of agriculture, forestry, animal husbandry and fishery+ 质量效益
Output benefit粮食综合生产能力
Comprehensive grain production capacity单位耕地面积粮食产量
Grain yield per unit cultivated area+ 肉类综合生产能力
Comprehensive meat production capacity肉类产品产量
Output of meat products土地生产率
Land productivity单位耕地面积农林牧渔增加值
Added value of agriculture, forestry, animal husbandry and fishery per unit cultivated area+ 农民收入水平
Farmers’ income level农民人均纯收入
Per capita income of farmers+ 绿色发展
Green development防护林建设率
Protection forest construction rate防护林面积占造林总面积比率
Ratio of protective forest area to total afforestation area+ 地均农药使用量
Average pesticide use单位耕地面积化肥使用量
Fertilizer use per unit cultivated area− 地均化肥使用量
Average fertilizer use单位耕地面积农药使用量
Pesticide use per unit cultivated area− 农业耗水量
Agricultural water consumption每万元农林牧渔GDP消耗水量
Water consumption per 10 000 ¥ agricultural, forestry, animal husbandry and fishery GDP− 农村社会
Rural community城乡收入差距
Urban-rural income gap城镇居民可支配收入与农村居民可支配收入比
Ratio of disposable income of urban residents to that of rural residents农村恩格尔系数
Rural Engel’s coefficient全年农民人均食品消费额度占农民全年人均消费总额比重
Proportion of annual per capita food consumption quota of farmers in total annual per capita consumption− 医疗条件
Rural medical conditions农民每万人拥有医护人员数
Number of medical staff per 10 000 farmers+ 文娱水平
Rural cultural and entertainment level农民每万人拥有文化站数量
Number of cultural stations owned by 10 000 farmers+ 表中“+”和“−”属性代表指标对农业现代化发展水平的正向、负向影响。“+” and “−” attributes in the table represent the positive and negative impact of the indicators on the development level of agricultural modernization. 表 2 2010—2020年山东省农业现代化发展水平全局莫兰指数
Table 2. Global Morans’I index of agricultural modernization development level in Shandong Province from 2010 to 2020
年份 Year I E(I) Z P* 2010 0.235 −0.067 1.890 0.029 2011 0.265 −0.067 2.082 0.019 2012 0.283 −0.067 2.193 0.014 2013 0.326 −0.067 2.461 0.007 2014 0.280 −0.067 2.191 0.014 2015 0.264 −0.067 2.089 0.018 2016 0.267 −0.067 2.106 0.018 2017 0.268 −0.067 2.123 0.017 2018 0.202 −0.067 1.701 0.044 2019 0.203 −0.067 1.718 0.043 2020 0.214 −0.067 1.773 0.038 I为全局莫兰指数; E(I)为I的数学期望值。P<0.05, 表示在5%水平显著; P<0.1, 表示在10%水平下显著。I is the Global Morans’I; E(I) is the value of mathematical expectation of I。P<0.05 represents a significance level of 5%,; P<0.1 represents a significance level of 10%, 表 3 2010年、2015年、2020年山东省各地市农业现代化发展的关键障碍因素
Table 3. Key obstacle factors of agricultural modernization development in each city of Shandong Province in 2010, 2015 and 2020
地市 City 2010 2015 2020 济南
Jinan机械化程度、产业结构优化
Mechanization degree, optimization of industrial structure电气化程度、粮食综合生产能力
Electrification degree, comprehensive grain production capacity电气化程度、产业结构优化
Electrification degree, optimization of industrial structure青岛
Qingdao机械化程度、产业结构优化
Mechanization degree, optimization of industrial structure电气化程度、肉类综合生产能力
Electrification degree, comprehensive meat production capacity电气化程度、肉类综合生产能力
Electrification degree, comprehensive meat production capacity淄博
Zibo规模生产程度、肉类综合生产能力
Scale production degree, comprehensive meat production capacity产业结构优化、肉类综合生产能力
Optimization of industrial structure, comprehensive meat production capacity产业结构优化、肉类综合生产能力
Optimization of industrial structure, comprehensive meat production capacity枣庄
Zaozhuang科技化发展、医疗条件
Scientific and technological development, rural medical conditions科技化发展、医疗条件
Scientific and technological development, rural medical conditions产业结构优化、肉类综合生产能力
Optimization of industrial structure, comprehensive meat production capacity东营
Dongying机械化程度、电气化程度
Mechanization degree, electrification degree电气化程度、肉类综合生产能力
Electrification degree, comprehensive meat production capacity电气化程度、肉类综合生产能力
Electrification degree, comprehensive meat production capacity烟台
Yantai产业结构优化、医疗条件
Optimization of industrial structure, rural medical conditions粮食综合生产能力、农村恩格尔系数
Comprehensive grain production capacity, rural Engel’s coefficient电气化程度、医疗条件
Electrification degree, rural medical conditions潍坊
Weifang科技化发展、医疗条件
Scientific and technological development, rural medical conditions电气化程度、医疗条件
Electrification degree, rural medical conditions产业结构优化、医疗条件
Optimization of industrial structure, rural medical conditions济宁
Jining电气化程度、医疗条件
Electrification degree, rural medical conditions电气化程度、科技化发展
Electrification degree, scientific and technological development电气化程度、医疗条件
Electrification degree, rural medical conditions泰安
Tai’an电气化程度、医疗条件
Electrification degree, rural medical conditions电气化程度、科技化发展
Electrification degree, scientific and technological development电气化程度、产业结构优化
Electrification degree, optimization of industrial structure,威海
Weihai农林牧渔业服务效率、肉类综合生产能力
Efficiency of agriculture, forestry, animal husbandry and fishery services; comprehensive meat production capacity电气化程度、肉类综合生产能力
Electrification degree, comprehensive meat production capacity电气化程度、肉类综合生产能力
Electrification degree, comprehensive meat production capacity日照
Rizhao电气化程度、医疗条件
Electrification degree, rural medical conditions电气化程度、科技化发展
Electrification degree, scientific and technological development电气化程度、医疗条件
Electrification degree, rural medical conditions临沂
Linyi电气化程度、医疗条件
Electrification degree, rural medical conditions电气化程度、医疗条件
Electrification degree, rural medical conditions电气化程度、医疗条件
Electrification degree, rural medical conditions德州
Dezhou电气化程度、医疗条件
Electrification degree, rural medical conditions电气化程度、科技化发展
Electrification degree, scientific and technological development电气化程度、医疗条件
Electrification degree, rural medical conditions聊城
Liaocheng电气化程度、医疗条件
Electrification degree, rural medical conditions电气化程度、医疗条件
Electrification degree, rural medical conditions电气化程度、医疗条件
Electrification degree, rural medical conditions滨州
Binzhou电气化程度、医疗条件
Electrification degree, rural medical conditions电气化程度、科技化发展
Electrification degree, scientific and technological development电气化程度、医疗条件
Electrification degree, rural medical conditions菏泽
Heze电气化程度、医疗条件
Electrification degree, rural medical conditions电气化程度、科技化发展
Electrification degree, scientific and technological development电气化程度、医疗条件
Electrification degree, rural medical conditions表 4 山东省农业现代化发展水平空间杜宾模型(SDM)模型回归结果
Table 4. Regression results of spatial Durbin model (SDM) of agricultural modernization development level in Shandong Province
变量
Variable邻接权重 Adjacency weight 地理距离权重 Geographic distance weight 模型估计系数
Model estimation coefficient空间矩阵估计系数
Spatial matrix estimation coefficient模型估计系数
Model estimation coefficient空间矩阵估计系数
Spatial matrix estimation coefficienturban 0.651*** (0.000) −0.171 (0.333) 0.609*** (0.000) 0.335 (0.550) agovern 0.067 (0.687) 0.229 (0.474) −0.031 (0.834) 1.376** 0.092 lnpatent 0.048*** (0.005) 0.085*** (0.010) 0.047** (0.013) 0.336*** 0.005 edu 0.430*** (0.008) 0.800*** (0.006) 0.595*** (0.000) 5.487*** 0.000 lncagdp 0.084*** (0.001) 0.0002 (0.976) 0.117*** (0.001) 0.294 0.202 Loglikelihood 423.888 442.840 R2 0.3825 0.2393 urban: 城镇化; agovern: 政府支持水平; lnpatent: 科研水平; edu: 教育投入; lhcadgp: 经济发展水平。“*”、“**”、“***”分别代表在10%、5%、1%水平下显著。urban: urbanization; agovern: government support level; lnpatent: level of science and technology; edu: education investiment; cadgp: economy development level. “*”, “**” and “***” represents a significance level of 10%, 5%, and 1%, respectively. 表 5 各变量对山东省农业现代化发展水平的直接效应和间接效应结果
Table 5. Direct and indirect effects of variables on agricultural modernization development level in Shandong Province
变量
Variable邻接权重 Adjacency weight 地理距离权重 Geographic distance weight 直接效应 Direct effect 间接效应 Indirect effect 直接效应 Direct effect 间接效应 Indirect effect urban 0.649*** (0.000) −0.664 (0.740) 0.608*** (0.000) 0.027 (0.941) agovern 0.059 (0.682) 0.265 (0.479) −0.094 (0.467) 0.965 (0.105) lnpatent 0.155*** (0.003) 0.102** (0.012) 0.0.039** (0.032) 0.229** (0.015) edu 0.478*** (0.007) 0.988*** (0.003) 0.431** (0.011) 3.721*** (0.000) lncagdp 0.080*** (0.006) 0.021 (0.832) 0.103*** (0.003) 0.154 (0.378) urban: 城镇化; agovern: 政府支持水平; lnpatent: 科研水平; edu: 教育投入; lhcadgp: 经济发展水平。“*”、“**”、“***”分别代表在10%、5%、1%水平下显著。urban: urbanization; agovern: government support level; lnpatent: level of science and technology; edu: education investiment; cadgp: economy development level. “*”, “**” and “***” represents a significance level of 10%, 5%, and 1%, respectively. -
[1] 魏后凯. 以农业现代化助力农业强国建设[EB/OL]. 光明日报, 2022 (2022-12-02). https://baijiahao.baidu.com/s?id=1751031106142664142&wfr=spider&for=pc.WEI H K. Agricultrue modernizaition boost building og Agricultural powerful country[EB/OL]. Guangming Daily, 2022 (2022-12-02). https://baijiahao.baidu.com/s?id=1751031106142664142&wfr=spider&for=pc. [2] 高强, 曾恒源. “十四五”时期农业农村现代化的战略重点与政策取向[J]. 中州学刊, 2020(12): 1−8 doi: 10.3969/j.issn.1003-0751.2020.12.002GAO Q, ZENG H Y. Strategic focus and policy orientation of agricultural and rural modernization during the 14th five-year plan period[J]. Academic Journal of Zhongzhou, 2020(12): 1−8 doi: 10.3969/j.issn.1003-0751.2020.12.002 [3] 姜长云, 李俊茹. 关于农业农村现代化内涵、外延的思考[J]. 学术界, 2021(5): 14−23JIANG C Y, LI J R. Reflections on the connotation and extension of agricultural and rural modernization[J]. Academics, 2021(5): 14−23 [4] 张小允, 许世卫. 我国农业农村现代化评价指标体系研究[J]. 农业现代化研究, 2022, 43(5): 759−768ZHANG X Y, XU S W. Study on the construction of an evaluation index system for agricultural and rural modernization in China[J]. Research of Agricultural Modernization, 2022, 43(5): 759−768 [5] 陈燕. 农业农村现代化与乡村振兴: 内在逻辑与机制建构[J]. 学习与探索, 2021(10): 114−121 doi: 10.3969/j.issn.1002-462X.2021.10.016CHEN Y. Agricultural and rural modernization and rural revitalization: internal logic and mechanism construction[J]. Study & Exploration, 2021(10): 114−121 doi: 10.3969/j.issn.1002-462X.2021.10.016 [6] 彭超, 刘合光. “十四五”时期的农业农村现代化: 形势、问题与对策[J]. 改革, 2020(2): 20−29PENG C, LIU H G. Agriculture and rural modernization during the 14th five-year plan period: the situation, problems and countermeasure[J]. Reform, 2020(2): 20−29 [7] 杜志雄. 农业农村现代化: 内涵辨析、问题挑战与实现路径[J]. 南京农业大学学报(社会科学版), 2021, 21(5): 1−10DU Z X. Several thoughts on promoting the agricultural and rural modernization: connotation discrimination, challenges and realization paths[J]. Journal of Nanjing Agricultural University (Social Sciences Edition), 2021, 21(5): 1−10 [8] 郭林涛. 我国中长期粮食供应的脆弱性分析及其应对[J]. 中州学刊, 2020(8): 32−37 doi: 10.3969/j.issn.1003-0751.2020.08.006GUO L T. Analysis on the vulnerability of China’s medium and long term grain supply and its coping strategies[J]. Academic Journal of Zhongzhou, 2020(8): 32−37 doi: 10.3969/j.issn.1003-0751.2020.08.006 [9] 王国敏, 周庆元, 卢婷婷. 西部农业现代化发展水平的定量测评与实证分析[J]. 四川大学学报(哲学社会科学版), 2011(6): 70−81WANG G M, ZHOU Q Y, LU T T. Quantitative evaluating and empirical analysis of development level of agricultural modernization in West China[J]. Journal of Sichuan University (Humanities & Social Sciences), 2011(6): 70−81 [10] 王永华, 马明. 中国农业现代化发展水平的空间分布格局及其演变[J]. 江汉论坛, 2018(2): 30−35WANG Y H, MA M. Spatial distribution pattern and evolution of agricultural modernization development level in China[J]. Jianghan Tribune, 2018(2): 30−35 [11] 钟水映, 李强谊, 徐飞. 中国农业现代化发展水平的空间非均衡及动态演进[J]. 中国人口·资源与环境, 2016, 26(7): 145−152 doi: 10.3969/j.issn.1002-2104.2016.07.018ZHONG S Y, LI Q Y, XU F. Spatial inequality and distributional dynamics of the development level of agricultural modernization in China[J]. China Population, Resources and Environment, 2016, 26(7): 145−152 doi: 10.3969/j.issn.1002-2104.2016.07.018 [12] 周迪, 程慧平. 中国农业现代化发展水平时空格局及趋同演变[J]. 华南农业大学学报(社会科学版), 2015, 14(1): 25−35ZHOU D, CHENG H P. Evolvement of convergence and spatial patterns of agricultural modernization in China[J]. Journal of South China Agricultural University (Social Science Edition), 2015, 14(1): 25−35 [13] 安晓宁, 辛岭. 中国农业现代化发展的时空特征与区域非均衡性[J]. 资源科学, 2020, 42(9): 1801−1815 doi: 10.18402/resci.2020.09.14AN X N, XIN L. The spatiotemporal characteristics and regional non-equilibrium of agricultural modernization development in China[J]. Resources Science, 2020, 42(9): 1801−1815 doi: 10.18402/resci.2020.09.14 [14] 赵颖文, 吕火明. 四川省农业农村现代化发展水平评价及障碍因素研究[J]. 农业经济与管理, 2018(4): 28−37 doi: 10.3969/j.issn.1674-9189.2018.04.004ZHAO Y W, LV H M. Assessment on development level of agricultural and rural modernization in Sichuan Province and analysis of its obstacle factors[J]. Agricultural Economics and Management, 2018(4): 28−37 doi: 10.3969/j.issn.1674-9189.2018.04.004 [15] 杨华, 芮旸, 李炬霖, 等. 陕西省农业现代化水平时空特征及障碍因素[J]. 资源科学, 2020, 42(1): 172−183YANG H, RUI Y, LI J L, et al. Spatiotemporal characteristics of agricultural modernization level and obstacles in Shaanxi Province[J]. Resources Science, 2020, 42(1): 172−183 [16] 邸菲, 胡志全. 我国农业现代化评价指标体系的构建与应用[J]. 中国农业资源与区划, 2020, 41(6): 46−56DI F, HU Z Q. Construction and application of China’s agricultural modernizarion evaluation index system[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2020, 41(6): 46−56 [17] 刘玉洁, 吕硕, 陈洁, 等. 青藏高原农业现代化时空分异及其驱动机制[J]. 地理学报, 2022, 77(1): 214−227LIU Y J, LYU S, CHEN J, et al. Spatio-temporal differentiation of agricultural modernization and its driving mechanism on the Qinghai-Tibet Plateau[J]. Acta Geographica Sinica, 2022, 77(1): 214−227 [18] 孙晓欣, 马晓冬. 江苏省农业现代化发展的格局演化及驱动因素[J]. 经济地理, 2016, 36(10): 123−130SUN X X, MA X D. On pattern evolution and driving factor of agriculture modernization in Jiangsu Province[J]. Economic Geography, 2016, 36(10): 123−130 [19] 杨奇峰, 张平宇, 李静, 等. 东北地区农业现代化发展水平测度与时空演变分析[J]. 地理科学, 2022, 42(9): 1588−1599YANG Q F, ZHANG P Y, LI J, et al. Development level and spatio-temporal evolution of agricultural modernization in northeast China[J]. Scientia Geographica Sinica, 2022, 42(9): 1588−1599 [20] 姚成胜, 胡宇, 黄琳. 江西省农业现代化发展水平综合评价及其推进路径与区域模式选择[J]. 中国农业资源与区划, 2020, 41(5): 65−75YAO C S, HU Y, HUANG L. Comprehensive evaluation of agriculture modernization and its promoting path and regional model selection in Jiangxi Province[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2020, 41(5): 65−75 [21] 于正松, 李同昇, 龙冬平, 等. 陕、甘、宁三省(区)农业现代化水平格局演变及其动因分析[J]. 地理科学, 2014, 34(4): 411−419YU Z S, LI T S, LONG D P, et al. The pattern evolution and it’s reasons about the agricultural modernization in Shaanxi-Gansu-Ningxia region[J]. Scientia Geographica Sinica, 2014, 34(4): 411−419 [22] 孙兵芬, 王小梅. 青藏高原现代农业发展水平综合评价−以青海省海东市为例[J]. 农业科技与信息, 2015(15): 18−21 doi: 10.3969/j.issn.1003-6997.2015.15.009SUN B F, WANG X M. Comprehensive evaluation on the development level of modern agriculture in Qinghai-Tibet Plateau —a case study of Haidong city, Qinghai Province[J]. Agricultural Science-Technology and Information, 2015(15): 18−21 doi: 10.3969/j.issn.1003-6997.2015.15.009 [23] 张宇婷, 王一鸣, 李贻学. 山东省农业现代化水平评价及障碍因子诊断[J]. 江西农业学报, 2019, 31(2): 115−121ZHANG Y T, WANG Y M, LI Y X. Evaluation of agricultural modernization level and diagnosis of its’ obstacle factors in Shandong Province[J]. Acta Agriculturae Jiangxi, 2019, 31(2): 115−121 [24] 秦纪法, 梅大伟, 张蓓蓓, 等. 山东省农业农村现代化水平综合评价研究[J]. 现代化农业, 2022(6): 52−55 doi: 10.3969/j.issn.1001-0254.2022.06.017QING J F, MEI D W, ZHANG B B, et al. Study on comprehensive evaluation of agricultural and rural modernization level in Shandong Province[J]. Modernizing Agriculture, 2022(6): 52−55 doi: 10.3969/j.issn.1001-0254.2022.06.017 [25] 杨宏力. 山东省17地市农业现代化发展水平实证研究(2009—2013)[J]. 聊城大学学报(社会科学版), 2015(6): 7−14YANG H L. Level of agricultural modernization in 17 cities in Shandong Province empirical studies (2009−2013)[J]. Journal of Liaocheng University (Social Science Edition), 2015(6): 7−14 [26] 吴全军. 协调推进城镇化与农业现代化发展研究−以山东青州市为例[J]. 潍坊学院学报, 2015, 15(1): 26−29 doi: 10.3969/j.issn.1671-4288.2015.01.007WU Q J. Study on coordinated development of urbanization and agricultural modernization — a case study of Qingzhou City, Shandong Province[J]. Journal of Weifang University, 2015, 15(1): 26−29 doi: 10.3969/j.issn.1671-4288.2015.01.007 [27] 龙冬平, 李同昇, 苗园园, 等. 中国农业现代化发展水平空间分异及类型[J]. 地理学报, 2014, 69(2): 213−226LONG D P, LI T S, MIAO Y Y, et al. The spatial distribution and types of the development level of Chinese agricultural modernization[J]. Acta Geographica Sinica, 2014, 69(2): 213−226 [28] 王录仓, 武荣伟, 梁炳伟, 等. 中国农业现代化水平时空格局[J]. 干旱区资源与环境, 2016, 30(12): 1−7 doi: 10.13448/j.cnki.jalre.2016.375WANG L C, WU R W, LIANG B W, et al. Spatial-temporal characteristics of the development level of Chinese agricultural modernization[J]. Journal of Arid Land Resources and Environment, 2016, 30(12): 1−7 doi: 10.13448/j.cnki.jalre.2016.375 [29] 张香玲, 李小建, 朱纪广, 等. 河南省农业现代化发展水平空间分异研究[J]. 地域研究与开发, 2017, 36(3): 142−147 doi: 10.3969/j.issn.1003-2363.2017.03.026ZHANG X L, LI X J, ZHU J G, et al. Spatial distribution of agricultural modernization level in Henan Province[J]. Areal Research and Development, 2017, 36(3): 142−147 doi: 10.3969/j.issn.1003-2363.2017.03.026 [30] 刘海猛, 方创琳, 黄解军, 等. 京津冀城市群大气污染的时空特征与影响因素解析[J]. 地理学报, 2018, 73(1): 177−191 doi: 10.11821/dlxb201801015LIU H M, FANG C L, HUANG J J, et al. The spatial-temporal characteristics and influencing factors of air pollution in Beijing-Tianjin-Hebei urban agglomeration[J]. Acta Geographica Sinica, 2018, 73(1): 177−191 doi: 10.11821/dlxb201801015 [31] ELHORST J P. Spatial Econometrics: From Cross-Sectional Data to Spatial Panels[M]. Heidelberg: Springger, 2014 [32] 徐维祥, 周建平, 刘程军. 数字经济发展对城市碳排放影响的空间效应[J]. 地理研究, 2022, 41(1): 111−129 doi: 10.11821/dlyj020210459XU W X, ZHOU J P, LIU C J. The impact of digital economy on urban carbon emissions: based on the analysis of spatial effects[J]. Geographical Research, 2022, 41(1): 111−129 doi: 10.11821/dlyj020210459 [33] 赵丹丹, 刘春明, 鲍丙飞等. 农业可持续发展能力评价与子系统协调度分析−以我国粮食主产区为例[J]. 经济地理, 2018, 38(04): 157−163 doi: 10.15957/j.cnki.jjdl.2018.04.019ZHAO D D, LIU C M, BAO B F, et al. Agricultural Sustainable Development Ability Evaluation and Subsystem Coordination Degree Analysis—Take the Major Grain-Producing Areas of China as an Example[J]. Economic Geography, 2018, 38(04): 157−163 doi: 10.15957/j.cnki.jjdl.2018.04.019 [34] YING L G. Measuring the spillover effects: some Chinese evidence[J]. Papers in Regional Science, 2000, 79(1): 75−89 doi: 10.1007/s101100050004 [35] 伍国勇. 基于现代多功能农业的工业化、城镇化和农业现代化“三化”同步协调发展研究[J]. 农业现代化研究, 2011, 32(4): 385−389 doi: 10.3969/j.issn.1000-0275.2011.04.001WU G Y. A multifunctional agriculture perspective on synchro and harmonious development of industrialization, urbanization, and modernization of agriculture[J]. Research of Agricultural Modernization, 2011, 32(4): 385−389 doi: 10.3969/j.issn.1000-0275.2011.04.001 [36] 陈锡文. 实施乡村振兴战略, 推进农业农村现代化[J]. 中国农业大学学报(社会科学版), 2018, 35(1): 5−12CHEN X W. Implementing the strategy of rural revitalization and promoting the modernization of agriculture and rural areas[J]. China Agricultural University Journal of Social Sciences Edition, 2018, 35(1): 5−12 [37] 陈锡文. 中国特色农业现代化的几个主要问题[J]. 改革, 2012(10): 5−8CHEN X W. The main problems of agriculture modernization with Chinese characteristics[J]. Reform, 2012(10): 5−8 [38] 辛岭, 刘衡, 胡志全. 我国农业农村现代化的区域差异及影响因素分析[J]. 经济纵横, 2021(12): 101−114 doi: 10.16528/j.cnki.22-1054/f.202112101XIN L, LIU H, HU Z Q. The temporal and spatial evolution and influencing factors of China’s agricultural and rural modernization[J]. Economic Review Journal, 2021(12): 101−114 doi: 10.16528/j.cnki.22-1054/f.202112101 [39] 钟阳, 丁一兵, 赵宣凯. 农业现代化发展区位分布的影响因素及空间溢出效应[J]. 南京社会科学, 2012(4): 53−58,52ZHONG Y, DING Y B, ZHAO X K. Direct influencing factors for the geographical distribution of agricultural modernization development and the spatial spillover effect[J]. Social Sciences in Nanjing, 2012(4): 53−58,52 [40] 李祥云, 陈建伟. 我国财政农业支出的规模、结构与绩效评估[J]. 农业经济问题, 2010, 32(8): 20−25LI X Y, CHEN J W. Scale, structure and performance evaluation of China’s financial agricultural expenditure[J]. Issues in Agricultural Economy, 2010, 32(8): 20−25 -