Coordinated relationship between urbanization and grain production in China: Degree measurement, spatial differentiation and its factors detection

被引:56
作者
Hou, Mengyang [1 ,2 ]
Deng, Yuanjie [3 ,4 ]
Yao, Shunbo [3 ,4 ]
机构
[1] Hebei Univ, Sch Econ, Baoding 071000, Peoples R China
[2] Hebei Univ, Res Ctr Resources Utilizat & Environm Conservat, Baoding 071000, Peoples R China
[3] Northwest A&F Univ, Coll Econ & Management, 3 Taicheng Rd, Yangling 712100, Shaanxi, Peoples R China
[4] Northwest A&F Univ, Ctr Resource Econ & Environm Management, Yangling 712100, Shaanxi, Peoples R China
关键词
Urbanization; Grain production; Coupling coordination; Spatial-temporal differentiation; Geographical detector; RAPID URBANIZATION; FOOD SECURITY; LAND-USE; STABILITY; QUALITY;
D O I
10.1016/j.jclepro.2021.129957
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The entropy method was used to measure urbanization, and applied the coupled coordination degree model (CCDM) to calculate the coupled coordination degree of urbanization and grain production (CCDUG) of 330 cities at the prefecture-level and above from 2000 to 2018 in China, the exploratory spatial data analysis method (ESDA) is used to reveal their spatial-temporal differentiation, and the geographical detector (GeoDetector) is used to identify the dominant factors and their interaction affecting this spatial differentiation. Although the CCDUG has entered a high coordination interval, there is still much room for improvement. The spatial differentiation and agglomeration characteristics of CCDUG are significant, showing a "center-periphery" distribution pattern with the east as the center gradually decreases towards the west. The CCDUG with high-high cluster is mainly distributed in the main grain-producing areas of Northeast Plain and North China Plain. Low-low cluster is primarily distributed in the grain balance and main marketing areas of Northwest, Southwest, and South China coast. Elevation, urban-rural income gap, opening to the outside world, economic growth, and cropland resources per capita are the dominant factors affecting the spatial differentiation of CCDUG. The interaction between factors will enhance this spatial differentiation, among which the interaction between basic endowment conditions and socio-economic factors is the strongest. Understanding and portraying the interactive relationship between urbanization and grain production and its spatial laws have important theoretical references for achieving balanced coordination between high-quality economic-social transformation and food security.
引用
收藏
页数:14
相关论文
共 60 条
[1]   Quantifying the spatial heterogeneity influences of natural and socioeconomic factors and their interactions on air pollution using the geographical detector method: A case study of the Yangtze River Economic Belt, China [J].
Bai, Ling ;
Jiang, Lei ;
Yang, Dong-yang ;
Liu, Yao-bin .
JOURNAL OF CLEANER PRODUCTION, 2019, 232 :692-704
[2]   Food security, climate change, and sustainable land management. A review [J].
Branca, Giacomo ;
Lipper, Leslie ;
McCarthy, Nancy ;
Jolejole, Maria Christina .
AGRONOMY FOR SUSTAINABLE DEVELOPMENT, 2013, 33 (04) :635-650
[3]   Improving assessment of groundwater sustainability with analytic hierarchy process and information entropy method: a case study of the Hohhot Plain, China [J].
Chen, Jiang ;
Zhang, Yilong ;
Chen, Zongyu ;
Nie, Zhenlong .
ENVIRONMENTAL EARTH SCIENCES, 2015, 73 (05) :2353-2363
[4]   Rapid urbanization in China: A real challenge to soil protection and food security [J].
Chen, Jie .
CATENA, 2007, 69 (01) :1-15
[5]  
[成升魁 Cheng Shengkui], 2018, [自然资源学报, Journal of Natural Resources], V33, P911
[6]   Food Security, Urbanization and Social Stability in China [J].
Christiansen, Flemming .
JOURNAL OF AGRARIAN CHANGE, 2009, 9 (04) :548-575
[7]   Spatiotemporal Characteristics of Rural Labor Migration in China: Evidence from the Migration Stability under New-type Urbanization [J].
Deng, Wei ;
Zhang, Shaoyao ;
Zhou, Peng ;
Peng, Li ;
Liu, Ying ;
Wan, Jiangjun .
CHINESE GEOGRAPHICAL SCIENCE, 2020, 30 (05) :749-764
[8]  
Dong M., 2014, J AGROTECHNICAL EC, P14, DOI [10.13246/j.cnki.jae.2014.04.002, DOI 10.13246/J.CNKI.JAE.2014.04.002]
[9]  
Fan Q., 2014, MACROECONOMICS, V8, P54, DOI [10.16304/j.cnki.11-3952/f.2014.08.010, DOI 10.16304/J.CNKI.11-3952/F.2014.08.010]
[10]  
Fan Y., 2014, ECON GEOGR, V34, P124, DOI [10.15957/j.cnki.jjdl.2014.10.050, DOI 10.15957/J.CNKI.JJDL.2014.10.050]