基于等级合理性和居业协同度的村庄类型识别与振兴路径研究

doi:10.18306/dlkxjz.2020.06.015

Abstract

Abstract:

As a multi-level and organic regional system composed of different levels of nodes, a village and town system is the spatial carrier of rural factor agglomeration and implementing the strategy of rural revitalization. It is of great importance to build a rank-size appropriate, livable, and efficient village and town system and promote the strategy of rural revitalization scientifically by examining the logical relationship between the village and town system and rural revitalization, and exploring the spatial optimization path of different types of rural village and town systems. Based on the sampling data of 356 villages and 14 towns in Feng County of Jiangsu Province, this study analyzed the agglomeration capacity of population, agricultural, and non-agricultural factors, spatial polarization characteristics, and the coordination pattern of housing-jobs in Feng County by constructing the evaluation system of village and town system from the two dimensions of rank-level appropriateness and the coordination degree of housing-jobs. This study then identified the spatial types of rural revitalization based on the division of different types of villages, and finally, proposed rural revitalization paths and specific measures for different spatial types. The main conclusions are as follows: 1) The village and town system of Feng County is characterized by relatively stable rank distribution, weak spatial polarization, relative imbalance of housing-jobs in some areas, and insufficient motivation of rural revitalization. 2) According to the characteristics of factor agglomeration and housing-job coordination, the villages can be divided into six types—weak employment functional type with lagging population and non-agricultural factors (I), weak employment functional type with lagging population and agricultural factors (II), low-level housing-job coordination type with relatively lagging population and non-agricultural factors (III), high-level housing-job coordination type with relatively coupled factors (IV), weak residential functional type with lagging non-agricultural factors (V), and weak residential functional type with lagging agricultural factors (VI). 3) Based on the result of village spatial type identification, this study further delineated the core area, peripheral area, and potential area of promoting rural revitalization in the future; from the perspective of cultivating the growth pole of rural revitalization, building the demonstration area of rural housing-job coordination, improving the self-development ability of the peripheral area, and promoting the coordination of housing-jobs at the county level by undertaking the transfer of resource factors in potential area, this study developed the basic thoughts and suggested specific paths of the rural revitalization strategy.

Key words: village and town system, village type identification, housing-job coordination, rural revitalization, path, Feng County, Jiangsu Province

FANG Fang, LI Yurui, HE Renwei. Village type identification and rural revitalization path based on the rank level appropriateness and coordination degree of housing-jobs[J].PROGRESS IN GEOGRAPHY, 2020, 39(6): 1060-1072.

Figures/Tables 8

Fig.1

Fig.2

Tab.1

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

References 31

[1]	高更和, 刘清臻, 乔家君, 等. 中部农区农民期望务工距离研究: 以河南三个样本村为例[J]. 经济地理, 2010,30(7):1159-1163.
	[ Gao Genghe, Liu Qingzhen, Qiao Jiajun, et al. Research on expectant employment distance for farmer in rural area of central China: A case study for three sample villages in Henan Province. Economic Geography, 2010,30(7):1159-1163. ]
[2]	Li Y R, Fan P C, Liu Y S. What makes better village development in traditional agricultural areas of China? Evidence from long-term observation of typical villages[J]. Habitat International, 2019,83:111-124.
[3]	龙花楼, 屠爽爽. 论乡村重构[J]. 地理学报, 2017,72(4):563-576.
	[ Long Hualou, Tu Shuangshuang. Rural restructuring: Theory, approach and research prospect. Acta Geographica Sinica, 2017,72(4):563-576. ]
[4]	刘彦随, 陈聪, 李玉恒. 中国新型城镇化村镇建设格局研究[J]. 地域研究与开发, 2014,33(6):1-6.
	[ Liu Yansui, Chen Cong, Li Yuheng. The town-villages construction pattern under new-type urbanization in China. Areal Research and Development, 2014,33(6):1-6. ]
[5]	Li Y R, Long H L, Liu Y S. Spatio-temporal pattern of China's rural development: A rurality index perspective[J]. Journal of Rural Studies, 2015,38:12-26.
[6]	Liu Y S, Li Y H. Revitalize the world's countryside[J]. Nature, 2017,548:275-277.
[7]	陈秧分, 刘玉, 王国刚. 大都市乡村发展比较及其对乡村振兴战略的启示[J]. 地理科学进展, 2019,38(9):1403-1411.
	[ Chen Yangfen, Liu Yu, Wang Guogang. Rural development in metropolitan areas and implications for rural vitalization strategy. Progress in Geography, 2019,38(9):1403-1411. ]
[8]	霍华德·埃比尼泽. 明日的田园城市 [M]. 金经元, 译. 北京: 商务印书馆, 2000: 30-41.
	[ Howard Ebenezer. Garden cities of tomorrow. Translated by Jin Jingyuan. Beijing, China: The Commercial Press, 2000: 30-41. ]
[9]	Yang J W, Ferreira J. Choices sets: A commuting spectrum method for representing job-housing possibilities[J]. Environment and Planning B, 2008,35:364-378.
[10]	余建辉, 董冠鹏, 张文忠, 等. 北京市居民居住—就业选择的协同性研究[J]. 地理学报, 2014,69(2):147-155.
	[ Yu Jianhui, Dong Guanpeng, Zhang Wenzhong, et al. The correlated decision process of house moving and job change and its heterogeneity: A case study of Beijing. Acta Geographica Sinica, 2014,69(2):147-155. ]
[11]	Rabe B, Taylor M. Residential mobility, quality of neighborhood and life course events[J]. Journal of the Royal Statistical Society: Series A (Statistics in Society), 2010,173(3):531-555.
[12]	Perle E D, Bauder H, Beckett N. Accessibility measures in spatial mismatch models[J]. The Professional Geographer, 2002,54(1):106-110.
[13]	Antipova A, Wang F, Wilmot C. Urban land uses, socio-demographic attributes and commuting: A multilevel modeling approach[J]. Applied Geography, 2011,31(3):1010-1018.
[14]	柴彦威, 张艳, 刘志林. 职住分离的空间差异性及其影响因素研究[J]. 地理学报, 2011,66(2):157-166.
	[ Chai Yanwei, Zhang Yan, Liu Zhilin. Spatial differences of home-work separation and the impacts of housing policy and urban sprawl: Evidence from household survey data in Beijing. Acta Geographica Sinica, 2011,66(2):157-166. ]
[15]	杨超, 汪超. 城市过剩通勤与职住平衡模型[J]. 同济大学学报(自然科学版), 2013,41(11):1712-1716.
	[ Yang Chao, Wang Chao. Excess commuting and jobs-housing balance model. Journal of Tongji University (Natural Science), 2013,41(11):1712-1716. ]
[16]	Loo B P Y, Chow A S Y. Jobs-housing balance in an era of population decentralization: An analytical framework and a case study[J]. Journal of Transport Geography, 2011,19(4):541-562.
[17]	刘彦随. 新时代城乡融合与乡村振兴[J]. 地理学报, 2018,73(4):637-650.
	[ Liu Yansui. Research on the urban-rural integration and rural revitalization in the new era in China. Acta Geographica Sinica, 2018,73(4):637-650. ]
[18]	Gobillon L, Selod H, Zenou Y. The mechanisms of spatial mismatch[J]. Urban Studies, 2007,44(12):2401-2427.
[19]	李伯华, 杨振, 田亚平. 农户消费空间行为对村镇空间结构影响的实证分析: 以湖北省红安县二程镇为例[J]. 华中师范大学学报(自然科学版), 2010,44(4):666-671.
	[ Li Bohua, Yang Zhen, Tian Yaping. Empirical analysis of households' spatial consumption behaviors impact on spatial structure of villages and towns: A case study of Er-cheng town in Hubei Province. Journal of Central China Normal University (Natural Science Edition), 2010,44(4):666-671. ]
[20]	李裕瑞, 刘彦随, 龙花楼, 等. 大城市郊区村域转型发展的资源环境效应与优化调控研究: 以北京市顺义区北村为例[J]. 地理学报, 2013,68(6):825-838.
	[ Li Yurui, Liu Yansui, Long Hualou, et al. Village transformation development, resources and environment effects and their optimal regulation in the metropolitan suburbs: The case of Beicun in Shunyi District, Beijing. Acta Geographica Sinica, 2013,68(6):825-838. ]
[21]	乔陆印. 乡村振兴村庄类型识别与振兴策略研究: 以山西省长子县为例[J]. 地理科学进展, 2019,38(9):1340-1348.
	[ Qiao Luyin. Village type identification and rural revitalization strategy: A case study of Zhangzi County of Shanxi Province. Progress in Geography, 2019,38(9):1340-1348. ]
[22]	Mehretu A, Mutambirwa C. Time and energy costs of distance in rural life space of Zimbabwe: Case study in the Chiduku Communal Area[J]. Social Science and Medicine, 1992,34(1):17-24. doi: 10.1016/0277-9536(92)90062-u pmid: 1738852
[23]	Sofer M, Applebaum L. The rural space in Israel in search of renewed identity: The case of the Moshav[J]. Journal of Rural Studies, 2006,22(3):313-336.
[24]	方方, 何仁伟. 农户行为视角下乡村三生空间演化特征与机理研究[J]. 学习与实践, 2018(1):101-110.
	[ Fang Fang, He Renwei. Evolution characteristics and mechanism research of rural production-living-ecological space from farmers' behavior in China. Study and Practice, 2018(1):101-110. ]
[25]	璩路路, 李裕瑞, 刘彦随. 基于村镇空间“物—场”模型的乡村聚落布局优化研究[J]. 经济地理, 2019,39(4):174-181.
	[ Qu Lulu, Li Yurui, Liu Yansui. Study on layout optimization of rural settlements based on the 'substance-field' model of village and town space. Economic Geography, 2019,39(4):174-181. ]
[26]	李琳娜, 璩路路, 刘彦随. 乡村地域多体系统识别方法及应用研究[J]. 地理研究, 2019,38(3):563-577.
	[ Li Linna, Qu Lulu, Liu Yansui. Research on identification method and application of rural regional multi-body system. Geographical Research, 2019,38(3):563-577. ]
[27]	Zipf G K. The P1 P2/D hypojournal: On the intercity movement of persons[J]. American Sociological Review, 1946,11(6):677-686.
[28]	陈彦光, 周一星. 城市等级体系的多重Zipf维数及其地理空间意义[J]. 北京大学学报(自然科学版), 2002,38(6):823-830.
	[ Chen Yanguang, Zhou Yixing. Multifractal measures of city- size distributions based on the three- parameter Zipf law: Mathematical frameworks and empirical evidence. Acta Scientiarum Naturalium Universitatis Pekinensis, 2002,38(6):823-830. ]
[29]	文琦, 郑殿元. 西北贫困地区乡村类型识别与振兴途径研究[J]. 地理研究, 2019,38(3):509-521.
	[ Wen Qi, Zheng Dianyuan. Identification and revitalization of rural poverty-stricken areas in Northwest China. Geographical Research, 2019,38(3):509-521. ]
[30]	管卫华, 彭鑫, 张惠, 等. 不同空间尺度的江苏省区域经济差异研究[J]. 长江流域资源与环境, 2015,24(12):2003-2011.
	[ Guan Weihua, Peng Xin, Zhang Hui, et al. Regional economic inequalities in Jiangsu at different spatial scales. Resources and Environment in the Yangtze Basin, 2015,24(12):2003-2011. ]
[31]	李裕瑞, 王婧, 刘彦随, 等. 中国“四化”协调发展的区域格局及其影响因素[J]. 地理学报, 2014,69(2):199-212.
	[ Li Yurui, Wang Jing, Liu Yansui, et al. Spatial pattern and influencing factors of the coordination development of industrialization, informatization, urbanization and agricultural modernization in China: A prefecture level exploratory spatial data analysis. Acta Geographica Sinica, 2014,69(2):199-212. ]

	指标	计算公式	单位	功效	说明
人口要素	人口迁移率(x₁)	常住人口/户籍人口	—	+	反映乡村人口外流程度。数值越高,人口越趋于流入,人口要素集聚能力越强
	人口密度(x₂)	常住人口/行政区总面积	人/km²	+	人口密度越高,常住人口集聚能力越强
	从业人员比重(x₃)	乡村从业人员/常住人口	%	+	反映从事农业与非农业的就业人员的集聚能力
农业要素	人均耕地面积(x₄)	耕地面积/户籍人口	hm²/人	+	人均耕地面积越多,村域耕地资源越丰富,农业生产要素集聚能力越强
	复种指数(x₅)	农作物播种面积/耕地面积	%	+	复种指数越高,农业集约利用程度越高,农业要素投入产出能力越强
	农业从业人员比重(x₆)	农业从业人员/从业人员总数	%	+	数值越高,农业从业人员集聚能力越强
	种养大户比重(x₇)	(种植大户+养殖大户)/常住户数	%	+	数值越高,从事种植业与畜牧业的专业农户集聚能力越强
非农业要素	每万人拥有各类企业数量(x₈)	企业数量/常住人口×10000	个	+	数值越高,非农企业集聚能力越强
	非农从业人员比重(x₉)	非农从业人员/从业人员总数	%	+	比重越高,非农从业人员集聚能力越强
	个体工商户比重(x₁₀)	个体工商户/户籍总户数	%	+	比重越高,个体工商户集聚能力越强

Village type identification and rural revitalization path based on the rank level appropriateness and coordination degree of housing-jobs

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 31

Related Articles 15

Metrics

Comments

Recommended 0

[1]	YANG Ren, ZHANG Jing, XU Qian, LUO Xiuli. Capitalization effect of rural land reclamation from the perspective of rural-urban integration: A case study of Guangdong Province [J]. PROGRESS IN GEOGRAPHY, 2021, 40(1): 114-123.
[2]	LI Xiaojian, HU Xueyao, SHI Yanwen, YANG Huimin. The role of rural settlements in rural revitalization: Perspective of economic geography [J]. PROGRESS IN GEOGRAPHY, 2021, 40(1): 3-14.
[3]	SUN Jingwen, MA Yuanjun, WANG Zhenbo, WANG Xujing, LIANG Longwu. Rural tourism industry revitalization path based on the analysis of lock-in effects [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 1037-1046.
[4]	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.
[5]	HUANG Han, LI Xunhuan, ZHOU Yang. Geographical pattern and spatial differentiation mechanism of rural poverty in hilly and mountainous areas of China: A case study of Yudu County in Jiangxi Province [J]. PROGRESS IN GEOGRAPHY, 2020, 39(6): 938-950.
[6]	SONG Zhen, SHI Xingmin. Path analysis of influencing factors of farmers’ adaptive behaviors to climate change in the rain-fed agricultural areas [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 461-473.
[7]	HAN Wei, CAI Jianming. Spatiotemporal pattern of rural non-farm sector and its impact on rural residents’ income [J]. PROGRESS IN GEOGRAPHY, 2020, 39(2): 219-230.
[8]	ZHUO Rongrong, YU Bin, ZENG Juxin, GUO Xinwei, WANG Mingjie. Change and mechanism of influence of rural territorial functions in major agricultural areas of China: A case study of the Jianghan Plain [J]. PROGRESS IN GEOGRAPHY, 2020, 39(1): 56-68.
[9]	WEN Qi, ZHENG Dianyuan, SHI Linna. Themes evolution of rural revitalization and its research prospect in China from 1949 to 2019 [J]. PROGRESS IN GEOGRAPHY, 2019, 38(9): 1272-1281.
[10]	HE Renwei,FANG Fang,LIU Yunwei. Influence of human capital on the livelihood strategy of farming households in poor mountainous areas: A case study of Liangshan Yi Autonomous Prefecture of Sichuan, China [J]. PROGRESS IN GEOGRAPHY, 2019, 38(9): 1282-1893.
[11]	QIAO Luyin. Village type identification and rural revitalization strategy: A case study of Zhangzi County of Shanxi Province [J]. PROGRESS IN GEOGRAPHY, 2019, 38(9): 1340-1348.
[12]	WANG Jieyong,ZHOU Mozhu,WANG Xiangfeng. Features and framework of rural revitalization planning system [J]. PROGRESS IN GEOGRAPHY, 2019, 38(9): 1361-1369.
[13]	MA Li,LONG Hualou,TU Shuangshuang,ZHANG Yingnan. Characteristics of change and vitalization pathways of poor villages based on multifunctional rural development theory: A case study of Zahan Village in Hainan Province [J]. PROGRESS IN GEOGRAPHY, 2019, 38(9): 1435-1446.
[14]	XU Zening,GAO Xiaolu,WU Danxian,LIAO Liuwen. Change of rural human resources from 2000 to 2010 in China [J]. PROGRESS IN GEOGRAPHY, 2019, 38(8): 1259-1270.
[15]	Qing GAO, Huasong LUO, Zhenbo WANG, Jinping SONG. Research progress and prospect of Beautiful China [J]. PROGRESS IN GEOGRAPHY, 2019, 38(7): 1021-1033.