黄河流域新型城镇化与农业现代化耦合协调的时空格局及驱动机制

doi:10.12118/j.issn.1000-6060.2025.052

Abstract

Abstract:

Understanding the coupled coordination of new urbanization and agricultural modernization (the “two modernizations”) in China's Yellow River Basin is important for promoting ecological protection, high-quality development, urban-rural integration, and coordinated regional development in the region. This study quantitatively analyzes the levels and spatiotemporal patterns of the “two modernizations” in 67 prefectures of the Yellow River Basin from 2010 to 2022 and examines the related mechanisms. To this end, an index system is constructed, and the entropy method, coupling coordination degree, and geographic detector method are employed for analysis. The results show the following: (1) During the study period, the level of the “two modernizations” in the Yellow River Basin increased significantly, showing a spatial distribution pattern of high in the east and low in the west. (2) The type of coupled coordination of the “two modernizations” has evolved from being mostly disorderly to being dominated by reluctant coordination, with the scope of primary and secondary coordination steadily expanding. (3) There is considerable spatial agglomeration in the coupled coordination of the “two modernizations”. For instance, a core area of extreme hotspots has formed in Shandong Province, while two cold-spot agglomeration areas have emerged in Shanxi Province and Gansu-Ningxia Provinces. (4) The spatial differentiation pattern of coupled coordinated development is the result of synergies and interactions among multiple factors. Core drivers include the economy, the market, and digital finance. Agri-tech and income are secondary drivers, while transportation significantly interacts with other factors. This study strengthens our theoretical understanding of the coupled coordination of the “two modernizations” and provides a policy reference for promoting new urbanization, agricultural modernization, and integrated urban-rural development in the region.

Key words: new urbanization, agricultural modernization, coupling coordination, spatio-temporal pattern, geographic detector, Yellow River Basin

LI Zhanwen, WU Wenheng, YAO Hangang, ZHU Yuze, LI Yuxuan. Spatio-temporal evolution and driving mechanism of coupling coordination between new urbanization and agricultural modernization in the Yellow River Basin[J].Arid Land Geography, 2025, 48(10): 1878-1891.

Figures/Tables 12

Fig. 1

Fig. 2

Tab. 1

Coupled coordination indicator system of “two modernizations” in the Yellow River Basin"

目标层	一级指标	二级指标	指标含义	指标属性
新型城镇化	人口城镇化	常住人口城镇化率/%	城镇常住人口/年末常住人口	+
		城镇人口密度/人·km^-2	城镇常住人口/建成区面积	+
		第二产业从业人员比例/%	第二产业从业人员/总就业人员	+
		第三产业从业人员比例/%	第三产业从业人员/总就业人员	+
	经济城镇化	第二、三产业产值占比/%	第二、三产业产值/地区生产总值	+
		人均GDP/元	地区生产总值/年末总人口	+
		城镇居民人均可支配收入/元	直接获取	+
		城镇居民人均生活消费支出/元	直接获取	+
	社会城镇化	人均社会消费品零售额/元	社会消费品零售总额/年末常住人口	+
		互联网接入用户/户	互联网接入用户	+
		卫生技术人员数/人	卫生技术人员数	+
		卫生机构床位数/张·10^-4人	卫生机构床位数/年末常住人口	+
		城镇登记失业率/%	直接获取	-
	空间城镇化	建成区面积/km²	建成区面积	+
		建成区经济密度/10⁸元·km^-2	第二、三产业产值/建成区面积	+
		人均城市道路面积/m²	城区道路总面积/城区总人口	+
	生态城镇化	人均公园绿地面积/m²	直接获取	+
		建成区绿化率/%	直接获取	+
		污水处理厂集中处理率/%	达到排放标准的城市生活污水数量/城市生活污水排放总量	+
		生活垃圾无害化处理率/%	无害化处理的城镇垃圾数量/生活垃圾产生总量	+
农业现代化	农业投入水平	中间投入/10⁴元	农林牧渔总产值-农林牧渔增加值	-
		农村用电量/10⁴ kW·h	农村用电量	+
		单位耕地面积农机总动力/kW·hm^-2	农机总动力/耕地面积	+
		粮食播种面积占比/%	粮食播种面积/农作物播种面积	+
	农业产出水平	土地生产率/10⁴元·hm^-2	农林牧渔总产值/耕地面积	+
		农业产出率/%	农林牧渔增加值/农林牧渔总产值	+
		农耕生产率/10⁴元·kW^-1	农林牧渔增加值/农机总动力	+
		粮食作物单产/t·hm^-2	粮食产量/粮食播种面积	+
	农村社会发展水平	农村人均用电量/kW·h	农村用电量/农村常住人口	+
		农村居民收入水平/元	农民人均可支配收入	+
		农村居民消费水平/元	农村居民人均消费支出	+
	农业经营产业化	农业社会化服务发展程度/%	农林牧渔服务业产值/农林牧渔业总产值	+
		地理标志农产品数量/个	直接获取	+
		国家农业科技园区数量/个	直接获取	+
		农业产业化国家重点龙头企业数量/个	直接获取	+
	农业可持续发展	人均耕地面积/hm²	耕地面积/农村常住人口	+
		中间消耗产出率/%	中间消耗/农林牧渔增加值	-
		单位耕地面积化肥施用量/t·hm^-2	化肥施用量/耕地面积	-
		植被覆盖率	归一化植被指数	+

Tab. 1

Tab. 2

Fig. 3

Fig. 4

Tab. 3

Fig. 5

Tab. 4

Tab. 5

Fig. 6

Fig. 7

References 40

[1]	陈明星, 叶超, 陆大道, 等. 中国特色新型城镇化理论内涵的认知与建构[J]. 地理学报, 2019, 74(4): 633-647. doi: 10.11821/dlxb201904002
	[Chen Mingxing, Ye Cao, Lu Dadao, et al. Cognition and construction of the theoretical connotation for new-type urbanization with Chinese characteristics[J]. Acta Geographica Sinica, 2019, 74(4): 633-647.] doi: 10.11821/dlxb201904002
[2]	陈明星, 陆大道, 张华. 中国城市化水平的综合测度及其动力因子分析[J]. 地理学报, 2009, 64(4): 387-398.
	[Chen Mingxing, Lu Dadao, Zhang Hua. Comprehensive evaluation and the driving factors of China's urbanization[J]. Acta Geographica Sinica, 2009, 64(4): 387-398.] doi: 10.11821/xb200904001
[3]	张红宇, 张海阳, 李伟毅, 等. 中国特色农业现代化: 目标定位与改革创新[J]. 中国农村经济, 2015(1): 4-13.
	[Zhang Hongyu, Zhang Haiyang, Li Weiyi, et al. Agricultural modernization with Chinese characteristics: Target orientation and reform and innovation[J]. Chinese Rural Economy, 2015(1): 4-13.]
[4]	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.2020.09.14
	[An Xiaoning, Xin Ling. 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
[5]	蒋正云, 胡艳. 中部地区新型城镇化与农业现代化耦合协调机制及优化路径[J]. 自然资源学报, 2021, 36(3): 702-721. doi: 10.31497/zrzyxb.20210313
	[Jiang Zhengyun, Hu Yan. Coupling and coordination between new urbanization and agricultural modernization in Central China[J]. Journal of Nature Resources, 2021, 36(3): 702-721.]
[6]	胡卫华. 美国城镇化与农业现代化协调发展经验借鉴[J]. 世界农业, 2015(2): 139-142.
	[Hu Weihua. The experience reference of the coordinated development of urbanization and agricultural modernization in the United States[J]. World Agriculture, 2015(2): 139-142.]
[7]	刘玉. 农业现代化与城镇化协调发展研究[J]. 城市发展研究, 2007(6): 37-40.
	[Liu Yu. The relations between agricultural modernization and urbanization[J]. Urban Development Studies, 2007(6): 37-40.]
[8]	汪晓文, 杜欣. 中国城镇化与农业现代化协调发展的测度[J]. 统计与决策, 2015(8): 121-124.
	[Wang Xiaowen, Du Xin. Measurement of coordinated development of urbanization and agricultural modernization in China[J]. Statistics & Decision, 2015(8): 121-124.]
[9]	陈涛, 杨佳怡, 陈池波. 新型城镇化与农业现代化耦合协调度评价[J]. 统计与决策, 2022, 38(12): 70-74.
	[Chen Tao, Yang Jiayi, Chen Chibo. Evaluation of the coupling coordination degree of new urbanization and agricultural modernization[J]. Statistics & Decision, 2022, 38(12): 70-74.]
[10]	陈莉, 闵晓飞. 农地“三权分置”下新疆新型城镇化与农业现代化协同发展研究[J]. 干旱区地理, 2018, 41(6): 1367-1375. doi: 10.12118/j.issn.1000-6060.2018.06.25
	[Chen Li, Min Xiaofei. Coordinated development of new urbanization and agricultural modernization in Xinjiang under policy of “Three rights separation” for agricultural land[J]. Arid Land Geography, 2018, 41(6): 1367-1375.]
[11]	刘欣, 姚增福. 赤峰市城镇化与农业现代化协调演变及模式选择研究[J]. 中国农业资源与区划, 2018, 39(2): 214-220.
	[Liu Xin, Yao Zengfu. Research on coordination evolution and pattern selection of urbanization and agricultural modernization[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2018, 39(2): 214-220.]
[12]	文枫, 李会杰, 周彦兵, 等. 河南省新型城镇化与农业现代化协调关系测度[J]. 中国农业资源与区划, 2020, 41(4): 143-149.
	[Wen Feng, Li Huijie, Zhou Yanbing, et al. Evaluation on the coordination relationship of the new urbanization and agricultural modernization in Henan Province[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2020, 41(4): 143-149.]
[13]	代碧波, 陈晓菲. 粮食主产区农业现代化与新型城镇化的耦合协调度测算[J]. 统计与决策, 2020, 36(9): 104-108.
	[Dai Bibo, Chen Xiaofei. Measurement of the coupling coordination degree between agricultural modernization and new urbanization in major food-producing areas[J]. Statistics & Decision, 2020, 36(9): 104-108.]
[14]	江孝君, 杨青山, 刘鉴. 中国地级以上城市 “五化” 协调发展时空格局及影响因素[J]. 地理科学进展, 2017, 36(7): 806-819. doi: 10.18306/dlkxjz.2017.07.003
	[Jiang Xiaojun, Yang Qingshan, Liu Jian. Spatiotemporal patterns and influencing factors of the “Five Modernizations” coordinated development of prefecture level and above cities in China[J]. Progress in Geography, 2017, 36(7): 806-819.] doi: 10.18306/dlkxjz.2017.07.003
[15]	白雪, 宋玉祥, 浩飞龙. 东北地区“五化”协调发展的格局演变及影响机制[J]. 地理研究, 2018, 37(1): 67-80. doi: 10.11821/dlyj201801005
	[Bai Xue, Song Yuxiang, Hao Feilong. Pattern evolution and influencing mechanism of coordination development of "Five Modernizations" in northeast China[J]. Geographical Research, 2018, 37(1): 67-80.]
[16]	潘竟虎, 胡艳兴, 刘晓, 等. 中国地级及以上城市“四化”协调发展效率的时空分异测度[J]. 地理科学, 2016, 36(4): 512-520. doi: 10.13249/j.cnki.sgs.2016.04.004
	[Pan Jinghu, Hu Yanxing, Liu Xiao, et al. Spatial-temporal pattern of the coordinated development efficiency of the ‘Four Modernizations' of prefecture level cities or above in China[J]. Scientia Geographica Sinica, 2016, 36(4): 512-520.]
[17]	曹俊杰, 刘丽娟. 新型城镇化与农业现代化协调发展问题及对策研究[J]. 经济纵横, 2014(10): 12-15.
	[Cao Junjie, Liu Lijuan. Research on the problems and countermeasures of the coordinated development of new urbanization and agricultural modernization[J]. Economic Review, 2014(10): 12-15.]
[18]	谢天成, 施祖麟. 城镇化与农业现代化协调发展研究——以昆山市为例[J]. 农业现代化研究, 2015, 36(6): 921-926.
	[Xie Tiancheng, Shi Zulin. Coordinated development between urbanization and agricultural modernization: A case study in Kunshan City[J]. Research of Agricultural Modernization, 2015, 36(6): 921-926.]
[19]	张开华, 郑甘甜. 传统农区新型城镇化与农业现代化耦合协调路径研究[J]. 华东师范大学学报(哲学社会科学版), 2017, 49(4): 123-129.
	[Zhang Kaihua, Zheng Gantian. On the coupling coordination of new urbanization and agricultural modernization in traditional rural areas[J]. Journal of East China Normal University (Humanities and Social Science), 2017, 49(4): 123-129.]
[20]	柯福艳. 统筹城乡背景下城镇化与农业现代化互促共进长效机制研究[J]. 农村经济, 2011(5): 36-39.
	[Ke Fuyan. Study on the long-term mechanism of urbanization and agricultural modernization promoting each other under the background of coordinating urban and rural areas[J]. Rural Economy, 2011(5): 36-39.]
[21]	辛冲冲, 陈治国, 唐洪松, 等. 新疆农业现代化与城镇化协调发展关系的实证研究[J]. 农业现代化研究, 2016, 37(3): 430-436.
	[Xin Chongchong, Chen Zhiguo, Tang Hongsong, et al. Empirical study on the coordinated development relationship between Xinjiang agricultural modernization and urbanization[J]. Research of Agricultural Modernization, 2016, 37(3): 430-436.]
[22]	田俊, 李旭东, 陈璇, 等. 黔中城市群新型城镇化与农业现代化耦合协调对城乡收入差距的影响[J]. 地理科学进展, 2024, 43(7): 1355-1371. doi: 10.18306/dlkxjz.2024.07.007
	[Tian Jun, Li Xudong, Chen Xuan, et al. Impact of coupling and coordination of new urbanization and agricultural modernization on the urban-rural income gap in the central Guizhou urban agglomeration[J]. Progress in Geography, 2024, 43(7): 1355-1371.] doi: 10.18306/dlkxjz.2024.07.007
[23]	Chen M X, Liu W D, Lu D D. Challenges and the way forward in China's new-type urbanization[J]. Land Use Policy, 2016, 55: 334-339.
[24]	Long H L, Li Y R, Liu Y S, et al. Accelerated restructuring in rural China fueled by ‘increasing vs. decreasing balance' land-use policy for dealing with hollowed villages[J]. Land Use Policy, 2012, 29(1): 11-22.
[25]	叶超, 于洁. 迈向城乡融合: 新型城镇化与乡村振兴结合研究的关键与趋势[J]. 地理科学, 2020, 40(4): 528-534. doi: 10.13249/j.cnki.sgs.2020.04.004
	[Ye Chao, Yu Jie. Towards rural-urban integration: Key issues and trends on linking new-type urbanization to rural revitalization[J]. Scientia Geographica Sinica, 2020, 40(4): 528-534.] doi: 10.13249/j.cnki.sgs.2020.04.004
[26]	乔家君, 肖杰. 黄河中下游乡村振兴与新型城镇化耦合协调机制研究[J]. 地理科学进展, 2024, 43(3): 417-433. doi: 10.18306/dlkxjz.2024.03.001
	[Qiao Jiajun, Xiao Jie. Spatial pattern and driving mechanism of the coordinated development of rural revitalization and new urbanization in the middle and lower reaches of the Yellow River[J]. Progress in Geography, 2024, 43(3): 417-433.] doi: 10.18306/dlkxjz.2024.03.001
[27]	徐维祥, 李露, 周建平, 等. 乡村振兴与新型城镇化耦合协调的动态演进及其驱动机制[J]. 自然资源学报, 2020, 35(9): 2044-2062. doi: 10.31497/zrzyxb.20200902
	[Xu Weixiang, Li Lu, Zhou Jianping, et al. The dynamic evolution and its driving mechanism of coordination of rural rejuvenation and new urbanization[J]. Journal of Nature Resources, 2020, 35(9): 2044-2062.]
[28]	邵海琴, 吴卫, 王兆峰. 长江经济带旅游资源绿色利用效率与新型城镇化的时空耦合协调[J]. 经济地理, 2021, 41(8): 204-213. doi: 10.15957/j.cnki.jjdl.2021.08.024
	[Shao Haiqin, Wu Wei, Wang Zhaofeng. Temporal and spatial coupling coordination of green utilization efficiency of tourism resources and new urbanization in the Yangtze River Economic Belt[J]. Economic Geography, 2021, 41(8): 204-213.] doi: 10.15957/j.cnki.jjdl.2021.08.024
[29]	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): 1588-1599. doi: 10.13249/j.cnki.sgs.2022.09.008
	[Yang Qifeng, Zhang Pingyu, Li Jing, et al. Development level and spatio-temporal evolution of agricultural modernization in northeast China[J]. Scientia Geographica Sinica, 2022, 42(9): 1588-1599.] doi: 10.13249/j.cnki.sgs.2022.09.008
[30]	李梦洁, 张亭好, 侯敬, 等. 山东省农业现代化发展水平时空演变及障碍因子研究[J]. 中国农业资源与区划, 2023, 44(7): 238-247.
	[Li Mengjie, Zhang Tinghao, Hou Jing, et al. Research on spatial-temporal evolution and obstacle factors of agricultural modernization development level in Shandong Province[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2023, 44(7): 238-247.]
[31]	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): 172-183. doi: 10.18402/resci.2020.01.17
	[Yang Hua, Rui Yang, Li Julin, et al. Spatiotemporal characteristics of agricultural modernization level and obstacles in Shaanxi Province[J]. Resources Science, 2020, 42(1): 172-183.] doi: 10.18402/resci.2020.01.17
[32]	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): 214-227. doi: 10.11821/dlxb202201015
	[Liu Yujie, Lü Shuo, Chen Jie, 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.] doi: 10.11821/dlxb202201015
[33]	万赟, 吴文恒, 刘金凤, 等. 近30 a黄河流域中心城市空间扩展特征及启示[J]. 干旱区地理, 2024, 47(2): 281-292. doi: 10.12118/j.issn.1000－6060.2023.048
	[Wan Yun, Wu Wenheng, Liu Jinfeng, et al. Spatial expansion characteristics and their enlightenment in central cities in the Yellow River Basin in the last 30 years[J]. Arid Land Geography, 2024, 47(2): 281-292.] doi: 10.12118/j.issn.1000－6060.2023.048
[34]	刘畅, 邓铭, 冉春红. 东北地区农业现代化与新型城镇化协调发展研究[J]. 中国人口·资源与环境, 2017, 27(6): 155-162.
	[Liu Chang, Deng Ming, Ran Chunhong. Research on the coordinated development of agricultural modernization and new urbanization in northeast China[J]. China Population, Resources and Environment, 2017, 27(6): 155-162.]
[35]	黄晶, 薛东前, 马蓓蓓, 等. 黄土高原乡村地域人—地—业协调发展时空格局与驱动机制[J]. 人文地理, 2021, 36(3): 117-128.
	[Huang Jing, Xue Dongqian, Ma Beibei, et al. Spatial and temporal evolution pattern and driving mechanism of coordinated level of human-land-industry system in rural areas of the Loess Plateau[J]. Human Geography, 2021, 36(3): 117-128.]
[36]	王淑佳, 孔伟, 任亮, 等. 国内耦合协调度模型的误区及修正[J]. 自然资源学报, 2021, 36(3): 793-810. doi: 10.31497/zrzyxb.20210319
	[Wang Shujia, Kong Wei, Ren Liang, et al. Research on misuses and modification of coupling coordination degree model in China[J]. Journal of Nature Resources, 2021, 36(3): 793-810.]
[37]	刘海猛, 胡森林, 方恺, 等. “一带一路”沿线国家政治-经济-社会风险综合评估及防控[J]. 地理研究, 2019, 38(12): 2966-2984. doi: 10.11821/dlyj020181321
	[Liu Haimeng, Hu Senlin, Fang Kai, et al. A comprehensive assessment of political, economic and social risks and their prevention for the countries along the Belt and Road[J]. Geographical Research, 2019, 38(12): 2966-2984.]
[38]	王维. 长江经济带城乡协调发展评价及其时空格局[J]. 经济地理, 2017, 37(8): 60-66.
	[Wang Wei. The evaluation of coordinated development level between urban and rural and its spatial-temporal pattern in Yangtze River Economic Zone[J]. Economic Geography, 2017, 37(8): 60-66.]
[39]	李琛, 吴映梅, 高彬嫔, 等. 高原湖泊乡村聚落空间分异及驱动力探测——以环洱海地区为例[J]. 经济地理, 2022, 42(4): 220-229. doi: 10.15957/j.cnki.jjdl.2022.04.024
	[Li Chen, Wu Yingmei, Gao Binpin, et al. Spatial differentiation and driving factors of rural settlement in plateau lake: A case study of the area around the Erhai[J]. Economic Geography, 2022, 42(4): 220-229.] doi: 10.15957/j.cnki.jjdl.2022.04.024
[40]	王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116-134. doi: 10.11821/dlxb201701010
	[Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1): 116-134.] doi: 10.11821/dlxb201701010

耦合协调度	协调等级	耦合协调度	协调等级
[0.0~0.2]	严重失调	(0.6~0.7]	初级协调
(0.2~0.3]	中度失调	(0.7~0.8]	中级协调
(0.3~0.4]	轻度失调	(0.8~0.9]	良好协调
(0.4~0.5]	濒临失调	(0.9~1.0]	优质协调
(0.5~0.6]	勉强协调

年份	全局Moran's I	P值
2010	0.306^***	0.000
2016	0.310^***	0.000
2022	0.339^***	0.000

变量类型	驱动因素	符号	解释说明
被解释变量	耦合协调度	D	耦合协调度模型计算结果
	经济	eco	第二、三产业增加值
	市场	mar	社会消费品零售总额
	数字金融	dfin	数字普惠金融指数
	收入	inco	城镇居民可支配收入/农村居民可支配收入
	人口	pop	第二、三产业从业人员/从业人员总数
解释变量	农业科技	atech	农业机械总动力
	交通	tra	公路里程/行政区面积
	开放	open	进出口总额/GDP
	政府	gov	财政支出/GDP
	创新	inno	科学技术支出/财政支出

序号		2010年			2016年			2022年
序号	因子排序	q值	P值	因子排序	q值	P值	因子排序	q值	P值
1	eco	0.761^***	0.000	eco	0.807^***	0.000	eco	0.831^***	0.000
2	mar	0.751^***	0.000	mar	0.795^***	0.000	mar	0.818^***	0.000
3	dfin	0.664^***	0.000	inno	0.650^***	0.000	dfin	0.728^***	0.000
4	inno	0.624^***	0.000	open	0.612^***	0.000	open	0.644^***	0.000
5	gov	0.555^***	0.000	dfin	0.588^***	0.000	gov	0.637^***	0.000
6	open	0.531^**	0.019	gov	0.574^***	0.005	tra	0.530^***	0.004
7	inco	0.515^***	0.000	tra	0.535^***	0.002	atech	0.503^**	0.025
8	pop	0.510^***	0.002	atech	0.484^**	0.016	inno	0.388^**	0.022
9	atech	0.394^*	0.045	inco	0.409^**	0.012	pop	0.331^*	0.069
10	tra	0.302^*	0.087	pop	0.239^*	0.056	inco	0.202^*	0.083

Spatio-temporal evolution and driving mechanism of coupling coordination between new urbanization and agricultural modernization in the Yellow River Basin

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