中国县域乡村地域多功能格局及影响因素识别

doi:10.18306/dlkxjz.2019.09.005

Abstract

Abstract:

To reveal the spatial differentiation characteristics of rural multifunctionality in Chinese county areas and quantitatively identify the influencing factors of spatial differentiation of rural multifunctionality, this study comprehensively evaluated rural multifunctionality at the county level in China from 2000 to 2015 by constructing an evaluation index system, using entropy weight method, semi-variance function, and geodetector method. The main results are as follows: 1) The spatial distribution of rural multifunctionality was uneven. High-value regions of rural multifunctionality were concentrated in the plain areas and the eastern coasts of China. Low-value regions were concentrated on the plateaus and in the mountain regions. Rural multifunctionality presents a gradual upward temporal trend as a whole. 2) The contribution rate of economic development function and social security function to rural multifunctionality gradually increased, and the contribution rate of agricultural production function and ecological conservation function to rural multifunctionality gradually decreased. 3) From 2000 to 2015, the range and intensity of spatial auto-correlation of rural multifunctionality gradually decreased at the county level in China. Random factors became the driving forces of spatial differentiation of rural multifunctionality. 4) Economic development and fiscal revenue of counties were the main factors that affect the spatial differentiation of rural multifunctionality. The interaction of different influencing factors enhanced the spatial differentiation of rural multifunctionality. The degree of influence of social factors was gradually rising and the degree of influence of natural factors was gradually decreasing over time.

Key words: territorial multifunctionality, rural development, semi-variance function, geodetector, China

YANG Ren,LUO Xiuli,CHEN Yanchun. Spatial pattern and influencing factors of rural multifunctionality at county level in China[J].PROGRESS IN GEOGRAPHY, 2019, 38(9): 1316-1328.

Figures/Tables 12

Tab.1

Fig.1

Tab.2

Fig.2

Fig.3

Fig.4

Fig.5

Tab.3

Fig.6

Tab.4

Tab.5

Fig.7

References 38

[1]	安悦, 周国华, 贺艳华 , 等. 2018. 基于“三生”视角的乡村功能分区及调控: 以长株潭地区为例[J]. 地理研究, 37(4):695-703.
	[ An Y, Zhou G H, He Y H , et al. 2018. Research on the functional zoning and regulation of rural areas based on the production-life-ecological function perspective: A case study of Changsha-Zhuzhou-Xiangtan area. Geographical Research, 37(4):695-703. ]
[2]	洪惠坤, 廖和平, 李涛 , 等. 2016. 基于熵值法和Dagum基尼系数分解的乡村空间功能时空演变分析[J]. 农业工程学报, 32(10):240-248.
	[ Hong H K, Liao H P, Li T , et al. 2016. Analysis of spatio-temporal patterns of rural space function based on entropy value method and Dagum Gini coefficient. Transactions of the CSAE, 32(10):240-248. ]
[3]	靳诚, 陆玉麒 . 2009. 基于县域单元的江苏省经济空间格局演化[J]. 地理学报, 64(6):713-724.
	[ Jin C, Lu Y Q . 2009. Evolvement of spatial pattern of economy in Jiangsu Province at county level. Acta Geographica Sinica, 64(6):713-724. ]
[4]	李平星, 陈诚, 陈江龙 . 2015. 乡村地域多功能时空格局演变及影响因素研究: 以江苏省为例[J]. 地理科学, 35(7):845-851. doi: 10.11820/dlkxjz.1997.01.005
	[ Li P X, Chen C, Chen J L . 2015. Temporal evolution and spatial differentiation of rural territorial multifunctions and the influencing factors: The case of Jiangsu Province. Scientia Geographica Sinica, 35(7):845-851. ] doi: 10.11820/dlkxjz.1997.01.005
[5]	李智, 范琳芸, 张小林 . 2017. 基于村域的乡村多功能类型划分及评价研究: 以江苏省金坛市为例[J]. 长江流域资源与环境, 26(3):359-367.
	[ Li Z, Fan L Y, Zhang X L . 2017. Types division of rural multifunctions and their evaluation on village scale: A case of Jintan City, Jiangsu Province. Resources and Environment in the Yangtze Basin, 26(3):359-367. ]
[6]	李智, 张小林 . 2017. 中国地理学对乡村发展的多元视角研究及思考[J]. 人文地理, 32(5):1-8.
	[ Li Z, Zhang X L . 2017. Pluralistic perspectives and thinking of Chinese rural development in geography study. Human Geography, 32(5):1-8. ]
[7]	林若琪, 蔡运龙 . 2012. 转型期乡村多功能性及景观重塑[J]. 人文地理, 27(2):45-49.
	[ Lin R Q, Cai Y L . 2012. Study on rural multifunction and landscape reformulation in the transitional period. Human Geography, 27(2):45-49. ]
[8]	刘彦随, 刘玉, 陈玉福 . 2011. 中国地域多功能性评价及其决策机制[J]. 地理学报, 66(10):1379-1389.
	[ Liu Y S, Liu Y, Chen Y F . 2011. Territorial multi-functionality evaluation and decision-making mechanism at county scale in China. Acta Geographica Sincia, 66(10):1379-1389. ]
[9]	刘彦随, 杨忍 . 2012. 中国县域城镇化的空间特征与形成机理[J]. 地理学报, 67(8):1011-1020.
	[ Liu Y S, Yang R . 2012. The spatial characteristics and formation mechanism of the county urbanization in China. Acta Geographica Sinica, 67(8):1011-1020. ]
[10]	刘玉, 刘彦随, 郭丽英 . 2011. 乡村地域多功能的内涵及其政策启示[J]. 人文地理, 26(6):103-106.
	[ Liu Y, Liu Y S, Guo L Y . 2011. Connotations of rural regional multifunction and its policy implications in China. Human Geography, 26(6):103-106. ]
[11]	刘玉, 刘彦随, 郭丽英 . 2013. 基于SOFM的环渤海地区乡村地域功能分区[J]. 人文地理, 28(3):114-120.
	[ Liu Y, Liu Y S, Guo L Y . 2013. SOFM-based functional subareas of rural area along the Bohai Rim in China. Human Geography, 28(3):114-120. ]
[12]	龙花楼, 刘彦随, 邹健 . 2009. 中国东部沿海地区乡村发展类型及其乡村性评价[J]. 地理学报, 64(4):426-434.
	[ Long H L, Liu Y S, Zou J . 2009. Assessment of rural development types and their rurality in eastern coastal China. Acta Geographica Sincia, 64(4):426-434. ]
[13]	龙花楼, 屠爽爽 . 2017. 论乡村重构[J]. 地理学报, 72(4):563-576.
	[ Long H L, Tu S S . 2017. Rural restructuring: Theory, approach and research prospect. Acta Geographica Sincia, 72(4):563-576. ]
[14]	栾福明, 张小雷, 杨兆萍 , 等. 2013. 1990-2011年山东省旅游节庆的时空变异特征及机理[J]. 地理科学进展, 32(6):940-949. doi: 10.11820/dlkxjz.2013.06.011
	[ Luan F M, Zhang X L, Yang Z P , et al. 2013. Temporal-spatial variability of tourism festivals and its mechanism in Shandong Province during 1990-2011. Progress in Geography, 32(6):940-949. ] doi: 10.11820/dlkxjz.2013.06.011
[15]	倪九派, 李萍, 魏朝富 , 等. 2009. 基于AHP和熵权法赋权的区域土地开发整理潜力评价[J]. 农业工程学报, 25(5):202-209.
	[ Ni J P, Li P, Wei C F , et al. 2009. Potentialities evaluation of regional land consolidation based on AHP and entropy weight method. Transactions of the CSAE, 25(5):202-209. ]
[16]	谭雪兰, 于思远, 陈婉铃 , 等. 2017. 长株潭地区乡村功能评价及地域分异特征研究[J]. 地理科学, 37(8):1203-1210.
	[ Tan X L, Yu S Y, Chen W L , et al. 2017. Evaluation of rural function and spatial division in Chang-Zhu-Tan urban agglomerations. Scientia Geographica Sinica, 37(8):1203-1210. ]
[17]	唐林楠, 刘玉, 潘瑜春 , 等. 2016. 基于BP模型和Ward法的北京市平谷区乡村地域功能评价与分区[J]. 地理科学, 36(10):1514-1521.
	[ Tang L N, Liu Y, Pan Y C , et al. 2016. Evaluation and zoning of rural regional multifunction based on BP model and Ward method: A case in the Pinggu District of Beijing City. Scientia Geographica Sinica, 36(10):1514-1521. ]
[18]	唐林楠, 刘玉, 唐秀美 . 2016. 北京市城乡转型与乡村地域功能的时序特征及其关联性[J]. 人文地理, 31(6):123-129.
	[ Tang L N, Liu Y, Tang X M . 2016. Temporal characteristics and coupling of urban-rural transformation and rural regional multifunction in Beijing: From 1978 to 2012. Human Geography, 31(6):123-129. ]
[19]	唐林楠, 潘瑜春, 刘玉 , 等. 2016. 北京市乡村地域多功能时空分异研究[J]. 北京大学学报(自然科学版), 52(2):303-312. doi: 10.13209/j.0479-8023.2015.150
	[ Tang L N, Pan Y C, Liu Y , et al. 2016. Space-time differentiation of rural territorial multifunction of Beijing. Acta Scientiarum Naturalium Universitatis Pekinensis, 52(2):303-312. ] doi: 10.13209/j.0479-8023.2015.150
[20]	屠爽爽, 龙花楼, 李婷婷 , 等. 2015. 中国村镇建设和农村发展的机理与模式研究[J]. 经济地理, 35(12):141-147.
	[ Tu S S, Long H L, Li T T , et al. 2015. The mechanism and models of villages and towns construction and rural development in China. Economic Geography, 35(12):141-147. ]
[21]	王劲峰, 徐成东 . 2017. 地理探测器: 原理与展望[J]. 地理学报, 72(1):116-134.
	[ Wang J F, Xu C D . 2017. Geodetector: Principle and prospective. Acta Geographica Sinica, 72(1):116-134. ]
[22]	王政权 . 1999. 地统计学及其在生态学中的应用 [M]. 北京: 科学出版社: 151-156.
	[ Wang Z Q .1999. The Application of geostatistics in ecology. Beijing, China: Science Press: 151-156. ]
[23]	吴克宁, 赵瑞 . 2019. 土壤质地分类及其在我国应用探讨[J]. 土壤学报, 56(1):227-241.
	[ Wu K N, Zhao R . 2019. Soil texture classification and its application in China. Acta Pedologica Sinica, 56(1):227-241. ]
[24]	杨忍, 陈燕纯 . 2018. 中国乡村地理学研究的主要热点演化及展望[J]. 地理科学进展, 37(5):601-616.
	[ Yang R, Chen Y C . 2018. Change in key research area and prospect of Chinese rural geography. Progress in Geography, 37(5):601-616. ]
[25]	杨忍, 刘彦随, 陈秧分 . 2012. 中国农村空心化综合测度与分区[J]. 地理研究, 31(9):1697-1706.
	[ Yang R, Liu Y S, Chen Y F . 2012. Comprehensive measure and partition of rural hollowing in China. Geographical Research, 31(9):1697-1706. ]
[26]	杨忍, 刘彦随, 龙花楼 , 等. 2016. 中国村庄空间分布特征及空间优化重组解析[J]. 地理科学, 36(2):170-179. doi: 10.13249/j.cnki.sgs.2016.02.002
	[ Yang R, Liu Y S, Long H L , et al. 2016. Spatial distribution characteristics and optimized reconstructing analysis of rural settlement in China. Scientia Geographica Sinica, 36(2):170-179. ] doi: 10.13249/j.cnki.sgs.2016.02.002
[27]	姚丹丹, 雷相东, 余黎 , 等. 2015. 云冷杉针阔混交林叶面积指数的空间异质性[J]. 生态学报, 35(1):71-79. doi: 10.5846/stxb201403300593
	[ Yao D D, Lei X D, Yu L , et al. 2015. Spatial heterogeneity of leaf area index of mixed spruce-fir-deciduous stands in Northeast China. Acta Ecologica Sinica, 35(1):71-79. ] doi: 10.5846/stxb201403300593
[28]	张小林 . 1998. 乡村概念辨析[J]. 地理学报, 53(4):365-371.
	[ Zhang X L . 1998. On discrimination of rural definitions. Acta Geographica Sincia, 53(4):365-371. ]
[29]	Holmes J, Argent N . 2016. Rural transitions in the Nambucca Valley: Socio-demographic change in a disadvantaged rural locale[J]. Journal of Rural Studies, 48:129-142.
[30]	Holmes J . 2006. Impulses towards a multifunctional transition in rural Australia: Gaps in the research agenda[J]. Journal of Rural Studies, 22:142-160.
[31]	Holmes J . 2010. The multifunctional transition in Australia's tropical savannas: The emergence of consumption, protection and indigenous values[J]. Geographical Research, 48(3):265-280.
[32]	Holmes J . 2012. Cape York Peninsula, Australia: A frontier region undergoing a multifunctional transition with indigenous engagement[J]. Journal of Rural Studies, 28:252-265.
[33]	Pinto-Correia T, Breman B . 2009. New roles for farming in a differentiated countryside: The Portuguese example[J]. Regional Environmental Change, 9(3):143-152.
[34]	Potter C, Burney J . 2002. Agricultural multifunctionality in the WTO: Legitimate non-trade concern or disguised protectionism[J]. Journal of Rural Studies, 18:35-47.
[35]	Wang J F, Li X H, Christakos G , et al. 2010. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China[J]. International Journal of Geographical Information Science, 24(1):107-127.
[36]	Wilson G A . 2008. From 'weak' to 'strong' multifunctionality: Conceptualising farm-level multifunctional transitional pathways[J]. Journal of Rural Studies, 24:367-383.
[37]	Woods M . 2007. Engaging the global countryside: Globalization, hybridity and the reconstitution of rural place[J]. Progress in Human Geography, 31(4):485-507.
[38]	Woods M . 2018. Precarious rural cosmopolitanism: Negotiating globalization, migration and diversity in Irish small towns[J]. Journal of Rural Studies, 64:164-176.

目标层	准则层	指标层	指标权重	指标效应	计算方法
乡村地域多功能	经济发展功能 (0.5565)	地区生产总值	0.0932	+	来自年度统计年鉴
		地均生产总值	0.1395	+	地区生产总值/区域土地总面积
		财政贡献量	0.1336	+	地方财政收入
		地均财政贡献量	0.1869	+	地方财政收入/区域土地总面积
		产业结构	0.0033	+	第二、三产业产值/地区生产总值
	农业生产功能 (0.2707)	第一产业增加值	0.0500	+	来自年度统计年鉴
		人均第一产业增加值	0.0309	+	第一产业增加值/区域户籍总人口
		人均粮食占有量	0.0403	+	粮食总产量/区域户籍总人口
		人均肉类占有量	0.0356	+	肉类总产量/区域户籍总人口
		人均非粮农作物占有量	0.1139	+	(油料+棉花)/区域户籍总人口
	生态保育功能 (0.0172)	生态脆弱性	0.0076	-	地形坡度
	生态保育功能 (0.0172)	植被覆盖度	0.0096	+	NDVI指数
	社会保障功能 (0.1556)	医疗卫生条件	0.0212	+	医院床位数/区域户籍总人口
		社会福利水平	0.0755	+	社会福利院床位数/区域户籍总人口
		人均储蓄存款	0.0589	+	城乡居民储蓄存款余额/区域户籍人口

判据	交互作用结果
q(X₁∩X₂)<min(q(X₁),q(X₂))	非线性减弱
min(q(X₁),q(X₂))<q(X₁∩X₂)<max(q(X₁),q(X₂))	单因子非线性减弱
q(X₁∩X₂)>max(q(X₁),q(X₂))	双因子增强
q(X₁∩X₂)=q(X₁)+q(X₂)	独立
q(X₁∩X₂)>q(X₁)+q(X₂)	非线性增强

年份	变程/km	块金值(C₀)	基台值(C₀+C)	块金系数[C₀/(C₀+C)]	R2	残差(RSS)
2000	2379	0.0558	0.2136	26.12%	0.9810	0.0007
2008	2395	0.0726	0.2822	25.73%	0.9850	0.0010
2015	2093	0.0981	0.3192	30.73%	0.9740	0.0019

2000年		2008年		2015年
因子排序	q	因子排序	q	因子排序	q
地区生产总值(x₇)	0.59^**	地区生产总值(x₇)	0.72^**	地区生产总值(x₇)	0.72^**
财政预算收入(x₈)	0.41^**	财政预算收入(x₈)	0.63^**	财政预算收入(x₈)	0.70^**
规模以上工业总产值(x₁₃)	0.37^**	规模以上工业总产值(x₁₃)	0.61^**	规模以上工业总产值(x₁₃)	0.59^**
规模以上工业总数(x₁₄)	0.35^**	规模以上工业总数(x₁₄)	0.53^**	规模以上工业总数(x₁₄)	0.58^**
人口密度(x₁₀)	0.34^**	固定资产投资额(x₉)	0.50^**	固定资产投资额(x₉)	0.58^**
平均高程(x₅)	0.34^**	人口密度(x₁₀)	0.30^**	平均坡度(x₆)	0.22^**
平均坡度(x₆)	0.33^**	平均坡度(x₆)	0.23^**	人口密度(x₁₀)	0.21^**
农业机械总动力(x₁₁)	0.32^**	平均高程(x₅)	0.23^**	平均高程(x₅)	0.20^**
固定资产投资额(x₉)	0.19^**	农业机械总动力(x₁₁)	0.14^**	第一产业产值占GDP比例(x₁₂)	0.15^**
年均气温(x₁)	0.11^**	第一产业产值占GDP比例(x₁₂)	0.13^**	农业机械总动力(x₁₁)	0.08^**
第一产业产值占GDP比例(x₁₂)	0.11^**	年均气温(x₁)	0.07^**	年均气温(x₁)	0.07^**
年均NDVI(x₃)	0.07^**	年均NDVI(x₃)	0.07^**	年均NDVI(x₃)	0.04^**
土壤质地(x₄)	0.04^**	年均降水(x₂)	0.04^**	年均降水(x₂)	0.04^**
年均降水(x₂)	0.02^**	土壤质地(x₄)	0.02^**	土壤质地(x₄)	0.03^**

因子	x₁	x₂	x₃	x₄	x₅	x₆	x₇	x₈	x₉	x₁₀	x₁₁	x₁₂	x₁₃	x₁₄
x₁	0.0376
x₂	0.1167	0.0733
x₃	0.1931	0.1934	0.0397
x₄	0.0969	0.1061	0.1247	0.0297
x₅	0.2253	0.2314	0.2348	0.2236	0.1967
x₆	0.3416	0.2867	0.2809	0.2646	0.2782	0.2170
x₇	0.7298	0.7338	0.7272	0.7393	0.7621	0.7643	0.7179
x₈	0.7196	0.7169	0.7208	0.7143	0.7681	0.7793	0.7770	0.6977
x₉	0.6227	0.6108	0.5941	0.5907	0.6242	0.6471	0.7503	0.7548	0.5756
x₁₀	0.3903	0.2546	0.2765	0.2499	0.3089	0.3120	0.7427	0.7459	0.6628	0.2142
x₁₁	0.1333	0.1562	0.1097	0.1124	0.2107	0.2391	0.7526	0.7542	0.6613	0.3324	0.0820
x₁₂	0.2495	0.2694	0.2122	0.2197	0.3579	0.3675	0.7269	0.7063	0.5980	0.3584	0.2380	0.1482
x₁₃	0.6366	0.6327	0.5997	0.6160	0.6523	0.6537	0.7350	0.7506	0.7018	0.6627	0.6642	0.6034	0.5884
x₁₄	0.5964	0.6157	0.6293	0.6066	0.6406	0.6719	0.7567	0.7578	0.7014	0.6468	0.6157	0.6143	0.6839	0.5803

Spatial pattern and influencing factors of rural multifunctionality at county level in China

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 12

References 38

Related Articles 15

Metrics

Comments

Recommended 0

[1]	CHEN Zhuo, LIANG Yi, JIN Fengjun. Simulation of city network accessibility and its influence on regional development pattern in China based on integrated land transport system [J]. PROGRESS IN GEOGRAPHY, 2021, 40(2): 183-193.
[2]	JIANG Wanbei, LIU Weidong, LIU Zhigao, HAN Mengyao. Inequality and driving forces of energy-related CO₂ emissions intensity in China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1425-1435.
[3]	QIAN Jiacheng, ZHANG Bailin, LIU Hongwu, GAO Yang, WANG Zhaoying, LIAN Xiaoyun. Development differentiation of rural areas with tourism characteristics in eastern mountainous areas and its driving forces: A case study of Pingyang County, Zhejiang Province [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1460-1472.
[4]	HUANG Yingze, QIU Bingwen, HE Yuhua, ZHANG Ke, ZOU Fengli. Optimal elevation interval of rice expansion in Northeast China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1557-1564.
[5]	HU Guojian, LU Yuqi. Progress, thoughts, and prospect of urban network research based on enterprise perspective [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1587-1596.
[6]	FU Zhanhui, MEI Lin, ZHENG Rumin, WANG Tongtong. Spatial differentiation mechanism of urban female employment rate in Northeast China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(8): 1308-1318.
[7]	ZHU Shengjun, HUANG Yongyuan, HU Xiaohui. Research framework and prospect of industrial value chain upgrading and spatial upgrading based on a multiple scale perspective [J]. PROGRESS IN GEOGRAPHY, 2020, 39(8): 1367-1384.
[8]	DU Xinru, LU Zi, LI Renjie, DONG Yaqing, GAO Wei. Estimation of time delay cost of hub airports in China, air routes effect and comparison with the United States [J]. PROGRESS IN GEOGRAPHY, 2020, 39(7): 1160-1171.
[9]	LIU Xiaopeng, CHENG Jing, ZHAO Xiaoyong, MIAO Hong, WEI Jingyi, ZENG Duan, MA Cunxia. Sustainable poverty reduction of China in a view of development geography [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 892-901.
[10]	ZHOU Guohua, ZHANG Rujiao, HE Yanhua, DAI Liuyan, ZHANG Li. Optimization of rural settlements and the governance of rural relative poverty [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 902-912.
[11]	TAN Xuelan, JIANG Lingxiao, WANG Zhenkai, AN Yue, CHEN Min, REN Hui. Rural poverty in China from the perspective of geography: Origin, progress, and prospect [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 913-923.
[12]	GUO Jianke, HOU Yajie, HE Yao. Characteristics of change of the China-Europe port shipping network under the Belt and Road Initiative [J]. PROGRESS IN GEOGRAPHY, 2020, 39(5): 716-726.
[13]	SUN Na, ZHANG Meiqing. Network structure and evolution characteristics of cities in China based on high-speed railway transport flow [J]. PROGRESS IN GEOGRAPHY, 2020, 39(5): 727-737.
[14]	CHEN Hongxing, YANG Degang, LI Jiangyue, WU Rongwei, HUO Jinwei. Distribution characteristics and influencing factors of commercial center and hotspots based on big data: A case of the main urban area of Urumqi City [J]. PROGRESS IN GEOGRAPHY, 2020, 39(5): 738-750.
[15]	DU Delin, WANG Jiaoe, WANG Yi. Market structure and competition of the three major airlines in China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 367-376.