人地关系视角下农村居民点转型的时空特征与形成机理

doi:10.18402/resci.2020.04.07

Abstract

Abstract:

Land use transition (LUT) provides theoretical and practical guidance for the regulation of the conflicts in human-land relationship in the process of social and economic development. As an important part of rural land use, rural residential areas are closely related to the migration and movement of rural population. Systematically understanding the transition of rural human-land relationship and its formation mechanism can provide a theoretical basis for rural transition and development. In view of the reality of the loss of rural population and the hollowing of rural residential areas in the process of urbanization, this study depicted the theoretical process of rural residential area transition (RRAT) from the perspective of the changing human-land relationship. Then, per capita rural residential area (PCRA) was used as the characterization index of RRAT, and spatial autocorrelation least linear quadratic regression model (ordinary least squares) and geographically weighted regression (GWR) models were used to reveal the spatial and temporal characteristics of RRAT and its influencing factors and mechanisms. The empirical analysis of Shandong Province from 1996 to 2016 shows that: (1) The PCRA transition trend was not significant, with obvious regional incompleteness and imbalance, but only in some areas it showed an inverted U-shaped transition process from rising to falling. The reason is that the passive reduction of rural residential land lagged behind the active rural population movement. (2) The spatial distribution of PCRA showed clear heterogeneity and tended to gather in high or low value clusters as a whole; the Jiaodong Peninsula and the vicinity of the provincial capital economic circle showed a tendency of contraction and expansion of cold spots, while the vast plain showed a tendency of contraction and expansion of hot spots. (3) The transition of rural residential areas is affected by factors such as topography, economy, urbanization, and policy, the main factors in different time periods and the sensitivity of factors in different regions are different, and the process of influence has some instability. (4) The linkage between rural population movement and rural residential land change determines the process of accelerating the coordinated development of rural human-land factors. There are differences in the RRAT in various areas as well as in the driving factors. Relevant government departments should promote the people-oriented urbanization and accelerate the process of scale reduction of rural residential land use to achieve rural transition and development.

Key words: land use transition, rural residential areas, spatiotemporal pattern, mechanism, Shandong

SHANG Ran, QU Yanbo, JIANG Huailong. Spatiotemporal characteristics and formation mechanism of rural residential land transition from the perspective of human-land relationship[J].Resources Science, 2020, 42(4): 672-684.

Figures/Tables 8

Figure 1

Table 1

Figure 2

Figure 3

Table 2

Figure 4

Figure 5

Figure 6

References 31

[1]	Grainger A . National land use morphology: Patterns and possibilities[J]. Geography, 1995,80(3):235-245.
[2]	Rudel T K, Schneider L, Uriarte M . Forest transitions: An introduction[J]. Land Use Policy, 2010,27(2):95-97.
[3]	Long H L, Qu Y . Land use transitions and land management: A mutual feedback perspective[J]. Land Use Policy, 2018,74:111-120.
[4]	Future Earth . Future Earth Initial Design: Report of the Transition Team[R]. Paris: International Council for Science ( ICSU), 2013.
[5]	Foley J A, De F R, Asner G P , et al. Global consequences of land use[J]. Science, 2005,309(5734):570-574.
[6]	Lambin E F, Meyfroidt P . Land use transitions: Socio-ecological feedback versus socio-economic change[J]. Land Use Policy, 2010,27(2):108-118.
[7]	Mather A S, Needle C L . The forest transition: A theoretical basis[J]. Area, 1998,30(2):117-124.
[8]	宋小青 . 论土地利用转型的研究框架[J]. 地理学报, 2017,72(3):471-487.
	[ Song X Q . Discussion on land use transition research framework[J]. Acta Geographica Sinica, 2017,72(3):471-487.]
[9]	Yeo I Y, Huang C Q . Revisiting the forest transition theory with historical records and geospatial data: A case study from Mississippi (USA)[J]. Land Use Policy, 2013,32:1-13.
[10]	戈大专, 龙花楼, 杨忍 . 中国耕地利用转型格局及驱动因素研究: 基于人均耕地面积视角[J]. 资源科学, 2018,40(2):273-283.
	[ Ge D Z, Long H L, Yang R . The pattern and mechanism of farmland transition in China from the perspective of per capita farmland area[J]. Resources Science, 2018,40(2):273-283.]
[11]	Jepsen M R, Kuemmerle T, Muller D , et al. Transitions in European land-management regimes between 1800 and 2010[J]. Land Use Policy, 2015,49(4):53-64.
[12]	Qu Y B, Jiang G H, Yang Y T , et al. Multi-scale analysis on spatial morphology differentiation and formation mechanism of rural residential land: A case study in Shandong Province, China[J]. Habitat International, 2018,71(1):135-146.
[13]	Qu Y B, Jiang G H, Zhao Q L , et al. Geographic identification, spatial differentiation, and formation mechanism of multifunction of rural settlements: A case study of 804 typical villages in Shandong Province, China[J]. Journal of Cleaner Production, 2017,166(11):1202-1215.
[14]	姜广辉, 张凤荣, 陈军伟 , 等. 基于Logistic回归模型的北京山区农村居民点变化的驱动力分析[J]. 农业工程学报, 2007,23(5):81-87.
	[ Jiang G H, Zhang F R, Chen J W , et al. Analysis of the driving forces of change of rural residential areas in Beijing mountainous areas based on Logistic regression model[J]. Transactions of the Chinese Society of Agricultural Engineering, 2007,23(5):81-87.]
[15]	李换换, 宋伟, 张艳 . 农村居民点演化数据制备综述[J]. 资源科学, 2019,41(4):689-700.
	[ Li H H, Song W, Zhang Y . Review of data preparation for rural settlement evolution research[J]. Resources Science, 2019,41(4):689-700.]
[16]	宿瑞, 王成 . 基于网络中心点辐射导向的农村居民点体系重组与优化: 以重庆市江津区燕坝村为例[J]. 资源科学, 2018,40(5):958-966.
	[ Su R, Wang C . Rural settlement spatial layout optimization using network center radiation guidance for Yanba Village in Chongqing[J]. Resources Science, 2018,40(5):958-966.]
[17]	Yang R, Xu Q, Long H L . Spatial distribution characteristics and optimized reconstruction analysis of China’s rural settlements during the process of rapid urbanization[J]. Journal of Rural Studies, 2016,47:413-424.
[18]	曲衍波, 魏淑文, 商冉 , 等. 基于“点-面”特征的农村居民点空间形态识别[J]. 资源科学, 2019,41(6):1035-1047.
	[ Qu Y B, Wei S W, Shang R , et al. Spatial morphology of rural settlements based on site and functional characteristics[J]. Resources Science, 2019,41(6):1035-1047.]
[19]	曲衍波, 姜广辉, 商冉 , 等. 基于投入-产出原理的农村居民点集约利用评价[J]. 农业工程学报, 2014,30(6):221-231.
	[ Qu Y B, Jiang G H, Shang R , et al. Intensive using evaluation of rural residential land based on input-output theory[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014,30(6):221-231.]
[20]	徐枫, 王占岐, 张红伟 , 等. 随机森林算法在农村居民点适宜性评价中的应用[J]. 资源科学, 2018,40(10):2085-2098.
	[ Xu F, Wang Z Q, Zhang H W , et al. Application of random forest algorithm in suitability evaluation of rural residential land[J]. Resources Science, 2018,40(10):2085-2098.]
[21]	张凤荣, 周建, 张佰林 . 基于内部用地结构及其功能的农村居民点整理潜力辨析[J]. 中国农业大学学报, 2016,21(5):155-160.
	[ Zhang F R, Zhou J, Zhang B L . Construction land consolidation potential analysis for rural settlements from aspects of land use structure and their functions[J]. Journal of China Agricultural University, 2016,21(5):155-160.]
[22]	龙花楼 . 中国农村宅基地转型的理论与证实[J]. 地理学报, 2006,61(10):1093-1100.
	[ Long H L . Rural housing land transition in China: Theory and verification[J]. Acta Geographica Sinica, 2006,61(10):1093-1100.]
[23]	曲衍波, 姜广辉, 张佰林 , 等. 山东省农村居民点转型的空间特征及其经济梯度分异[J]. 地理学报, 2017,72(10):1845-1858.
	[ Qu Y B, Jiang G H, Zhang B L , et al. Spatial characteristics of rural residential land transition and its economic gradient differentiation[J]. Acta Geographica Sinica, 2017,72(10):1845-1858.]
[24]	Qu Y B, Jiang G H, Li Z T , et al. Understanding rural land use transition and regional consolidation implications in China[J]. Land Use Policy, 2019,82:742-753.
[25]	Ma W Q, Jiang G H, Wang D Q , et al. Rural settlements transition (RST) in a suburban area of metropolis: Internal structure perspectives[J]. Science of Total Environment, 2018,615:672-680.
[26]	Su S L, Lei C R, Li A Y , et al. Coverage inequality and quality of volunteered geographic features in Chinese cities: Analyzing the associated local characteristics using geographically weighted regression[J]. Applied Geography, 2017,78:78-93.
[27]	龙花楼, 李秀彬 . 长江沿线样带农村宅基地转型[J]. 地理学报, 2005,60(2):179-188.
	[ Long H L, Li X B . Rural housing land transition in transect of the Yangtse River[J]. Acta Geographica Sinica, 2005,60(2):179-188.]
[28]	Qu Y B, Jiang G H, Tian Y Y , et al. Urban-rural construction land transition(URCLT) in Shandong Province of China: Features measurement and mechanism exploration[J]. Habitat International, 2019,86(3):101-115.
[29]	刘继来, 刘彦随, 李裕瑞 , 等. 2007-2015 年中国农村居民点用地与农村人口时空耦合关系[J]. 自然资源学报, 2018,33(11):1861-1871.
	[ Liu J L, Liu Y S, Li Y R , et al. Coupling analysis of rural residential land and rural population in China during 2007-2015[J]. Journal of Natural Resources, 2018,33(11):1861-1871.]
[30]	Li Y R, Liu Y S, Long H L , et al. Community-based rural residential land consolidation and allocation can help to revitalize hollowed villages in traditional agricultural areas of China: Evidence from Dancheng County, Henan Province[J]. Land Use Policy, 2014,39:188-198.
[31]	龙花楼 . 中国乡村转型发展与土地利用[M]. 北京: 科学出版社, 2012.
	[ Long H L. Land Use and Rural Transformation Development in China[M]. Beijing: Science Press, 2012.]

解释变量	1996年	2000年	2006年	2010年	2016年
地形坡度（x₁）	-0.351***	-0.335 ***	-0.236***	-0.167***	-0.183***
农村居民人均收入（x₇）	-0.387***	-0.417***	-0.438***	-0.511***	-0.503***
城镇化率（x₈）	0.174***	0.203***	0.182***	0.143***	0.148***
城乡建设用地增减挂钩规模（x₁₂）	-0.087***	-0.126***	-0.141***	-0.137***	-0.159***
常数项	321.67	342.09	332.45	393.35	391.39
R²	0.6421	0.6495	0.5986	0.5399	0.5516
R_adj²	0.7006	0.7173	0.6763	0.6202	0.6490
AICc	1499.37	1455.63	1532.92	1584.23	1619.66

Spatiotemporal characteristics and formation mechanism of rural residential land transition from the perspective of human-land relationship

RichHTML

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

Figures/Tables 8

References 31

Related Articles 15

Metrics

Comments

Recommended 0

[1]	ZHAO Nana, WANG Zhibao, LI Hongmei. Change of energy consumption pattern and its impact on economic development in China [J]. Resources Science, 2021, 43(1): 122-133.
[2]	ZHOU Yihu, FANG Tingting, LI li. Decision-making mechanism of farmers’ homestead exit based on the TAM-TPB framework [J]. Resources Science, 2021, 43(1): 148-160.
[3]	YANG Yang, LI Erling. A theoretical framework and empirical analysis of the formation mechanism of green agricultural industry cluster：A case study of the Shouguang vegetable industry cluster in Shandong Province [J]. Resources Science, 2021, 43(1): 69-81.
[4]	SUN Yixuan, CHENG Yu, LIU Na. Spatiotemporal evolution of China’s high quality economic development and its driving mechanism of scientific and technological innovation [J]. Resources Science, 2021, 43(1): 82-93.
[5]	ZHANG Lixin, BI Xu, HUANG Zhiji. Urban industrial land use efficiency under the background of economic transformation in the Yangtze River Economic Belt [J]. Resources Science, 2020, 42(9): 1728-1738.
[6]	FENG Ling, GUO Jiaxin, WANG Lingen. Marketization path of tourism ecological compensation and theoretical analysis [J]. Resources Science, 2020, 42(9): 1816-1826.
[7]	SHAO Liuguo, LAN Tingting. Review of the by-product critical minerals resource security research and prospects [J]. Resources Science, 2020, 42(8): 1452-1463.
[8]	ZHOU Meijing, HUANG Jianbai, SHAO Liuguo, YANG Danhui. Change and adjustment direction of China’s rare earth policy [J]. Resources Science, 2020, 42(8): 1527-1539.
[9]	DONG Xuesong, HUANG Jianbai, ZHONG Meirui, CHEN Jinyu, LIU Gang, SONG Yi. A review on the impact of technological progress on critical metal mineral demand [J]. Resources Science, 2020, 42(8): 1592-1603.
[10]	YOU Zhe, Cheng Jinhua, WU Tong, WANG Ran. Influence of pricing mechanism transferring on iron ore price volatility [J]. Resources Science, 2020, 42(8): 1604-1613.
[11]	ZHOU Haiwei, ZHENG Liyuan, GUO Lidan. Development of international river basin organizations and implication for China [J]. Resources Science, 2020, 42(6): 1148-1161.
[12]	YANG Qingke, DUAN Xuejun, JIN Zhifeng, WANG Lei, WANG Yazhu. Spatiotemporal differentiation and influencing mechanism of urban land development intensity in the Yangtze River Delta [J]. Resources Science, 2020, 42(4): 723-734.
[13]	ZHANG Zhengfeng, ZHANG Aman. Rural development types of counties in China and historical change [J]. Resources Science, 2020, 42(2): 207-216.
[14]	ZHAO Weiwei, BAI Yongxiu. Corruption in the exploitation of natural resources and effect of institution [J]. Resources Science, 2020, 42(2): 251-261.
[15]	LI Shuang, NIE Xin, ZHANG Anlu. Research progress on farmland ecological compensation mechanism based on ecosystem service evaluation [J]. Resources Science, 2020, 42(11): 2251-2260.