Content of Articles in our journal

        Published in last 1 year |  In last 2 years |  In last 3 years |  All
    Please wait a minute...
    For Selected: Toggle Thumbnails
    The impact of China’s inclusive finance on multidimensional poverty in rural areas
    WANG Liangjian, ZHOU Jingjing, CHEN Kunqiu, YAN Lei, TU Yingjie
    PROGRESS IN GEOGRAPHY    2022, 41 (11): 1991-2003.   DOI: 10.18306/dlkxjz.2022.11.001
    Abstract49)   HTML0)    PDF (2330KB)(0)      

    Poverty reduction is one of the primary goals of the 2030 Sustainable Development Agenda of the United Nations. Clarifying how inclusive finance alleviates rural poverty and impacts rural development can provide new perspectives and avenues for alleviating rural poverty. Based on the sustainable livelihood analysis framework, this study explored the poverty reduction mechanism of rural inclusive finance and integrated multi-source data and methods to conduct a systematic empirical test on the poverty reduction effect, pathways, and heterogeneity of rural inclusive finance. The results indicate that rural inclusive finance plays a direct and an indirect role in reducing poverty. According to the three-dimensional poverty standard, the marginal impact of rural inclusive finance is 67.5%, and the poverty reduction effect is stable. Rural inclusive finance has a variable poverty reduction effect based on group differences, such as poverty degree, educational level, and type of poverty. There is a relatively small effect of poverty reduction on the deeply impoverished groups and the poor with low education levels, but a mitigation effect on income, employment, health, and living standards poverty. For the purpose of deepening, extending, and sustaining the reduction of rural poverty through inclusive finance, it would be necessary to scientifically identify the coupling process between rural inclusive finance and poor groups/regions and to determine and develop the differentiated supply of inclusive finance and an in-depth connection with rural education.

    Table and Figures | Reference | Related Articles | Metrics
    Influence of support measures on the livelihood strategy choice of out-of-poverty farming households in mountainous regions: A case study of the Longnan mountainous area
    WANG Helin, ZHAO Xueyan
    PROGRESS IN GEOGRAPHY    2022, 41 (11): 2004-2017.   DOI: 10.18306/dlkxjz.2022.11.002
    Abstract32)   HTML0)    PDF (5774KB)(0)      

    Support measures are not only a key means to build a long-term mechanism for stable poverty eradication, but also an objective requirement to promote the effective connection between poverty eradication and rural revitalization. This study established an analytical framework for the impact of support measures on farmers' choice of livelihood strategies. Based on the household survey data, we examined the key factors that influence the choice of livelihood strategies of the rural households. The results show that: 1) Of the rural households in the Longnan mountainous area, 59.84% have enjoyed multiple support measures, among which the most common are industrial development + ecological compensation, while the most popular individual support measure is poverty alleviation by ecological compensation. 2) The livelihood strategy of the rural out-of-poverty households in the Longnan mountainous area is mainly off-farm employment, which is characterized by characteristic agricultural, non-agricultural, and diversification types. 3) The path dependence of the livelihood strategy choice of the out-of-poverty farmers is at a medium level. Farming households living in gully and valley areas, elderly farmers, and farmers with low livelihood capital endowments have a strong dependence on the path of livelihood strategy choice, and support measures have a moderating effect on them. 4) Social capital, human capital, financial capital, and location conditions have a significant impact on farmers' choice of livelihood strategies. Industrial development and e-commerce poverty alleviation interventions have a positive impact on farmers' choice of characteristic agriculture-oriented livelihood strategy, while ecological compensation and employment measures have a positive impact on farmers' choice of non-agricultural livelihood strategy. Finally, we recommended measures to optimize the livelihood strategies of farmers.

    Table and Figures | Reference | Related Articles | Metrics
    Evolution characteristics of compactness in the Yangtze River Delta from the perspective of coupled network
    HAN Gang, TANG Le, LIU Zhimin, ZHANG Guoqing
    PROGRESS IN GEOGRAPHY    2022, 41 (11): 2018-2029.   DOI: 10.18306/dlkxjz.2022.11.003
    Abstract34)   HTML0)    PDF (9329KB)(0)      

    Regional compactness refers to the urban form of synergistic integration through effective interactions. In essence, it is the reallocation process of factors of production, affected comprehensively by many factors, such as spatial-temporal distance, economic scale, market competition, and policy cooperation. The Yangtze River Delta, one of the regions with the highest level of urbanization in China, has produced many practical problems that affected the coordinated development of the region towards the goal of integration and high quality development. Regional compactness is an expansion of the compact city concept in a larger space, which is considered a better geospatial model to achieve regional integration. Therefore, analyzing the evolution characteristics of compactness of the Yangtze River Delta is helpful for identifying the real stage of the Yangtze River Delta's integrated development and the key pathways of regional compactness construction and governance. This study evaluated the relationship of cities by variables of spatial-temporal distance. In the Yangtze River Delta region, intercity traffic characterizes multi-modal transportation, forming a coupled nested network composed of high-speed railways and highways. This study evaluated city compactness by the shortest travel time and travel path provided by the coupled network and constructed a compact network map. Furthermore, from the macro to the micro scales, it analyzed the spatial distribution and evolution of compactness characteristics from four aspects: The global spatial distribution, structure, the local node organization and location. The study found that the urban compactness of the Yangtze River Delta has obvious global differentiation characteristics. As time goes on, its uneven compactness distribution gradually became obvious, and its spatial agglomeration tends to be significant. At the local scale, city compactness is in the transitional period from agglomeration to equilibrium, and it tends to have the local high-clustering features at low cost in a stable state. With regard to the cities themselves, the role categories emerging from the local structure show a diversified selection mechanism.

    Table and Figures | Reference | Related Articles | Metrics
    Spatial pattern of transport condition and its matching with county development in the Yellow River Basin
    LI Tao, CUI Leibo, LI Jiyuan, CHEN Huiling, CAO Xiaoshu
    PROGRESS IN GEOGRAPHY    2022, 41 (11): 2030-2043.   DOI: 10.18306/dlkxjz.2022.11.004
    Abstract33)   HTML0)    PDF (14414KB)(0)      

    The analysis of the characteristics of transport condition and its spatial matching with economic and social development in the Yellow River Basin is of great importance for optimizing the allocation of transport resources and improving the adaptability of transport supply. Using comprehensive transportation and socioeconomic data of the Yellow River Basin, this study analyzed the spatial pattern of transport condition at the county level and examined the spatial matching between transportation and county development quality in the basin. The results show that: The transport condition needs to be improved, and transport condition shows some mismatch with population and GDP, respectively. Counties with high level of development of transportation are concentrated along the Jinan-Zhengzhou-Xi'an-Lanzhou corridor. The spatial equity of transport supply is higher than that of economic and social development in the basin. At the zonal level, transport condition demonstrates a declining trend from the east-west Longhai-Lanxin zone to the big bent extending to the east and west, and then to the north-south zone. Fixed assets investment, industrial structure, urbanization, and economic foundation are the main factors that affect the transport condition at the county level in the basin. Furthermore, transport condition at the big bent extending to the east and west and the north-south zones are also restricted by natural factors such as elevation and slope. Of all the counties in the basin, 40.05% are in the basic matching state between transport supply and socioeconomic development. Meanwhile, 38.78% of all the counties belong to the transport disadvantage type, which are concentrated on the Qinghai-Tibet Plateau, the gully region of the Loess Plateau, and central and western Inner Mongolia Autonomous Region. Therefore, it is urgent to improve the support and guarantee capacity of transport facilities for the economic and social development of these counties.

    Table and Figures | Reference | Related Articles | Metrics
    Eco-environmental effects and spatial differentiation mechanism of land use transition in agricultural areas of arid oasis: A perspective based on the dominant function of production-living-ecological spaces
    HUANG Jing, XUE Dongqian, DONG Chaoyang, WANG Chuansheng, ZHANG Chong, MA Beibei, SONG Yongyong
    PROGRESS IN GEOGRAPHY    2022, 41 (11): 2044-2060.   DOI: 10.18306/dlkxjz.2022.11.005
    Abstract38)   HTML0)    PDF (26598KB)(0)      

    The ecological environment in arid oasis agricultural areas is fragile. The study on the eco-environmental effect of land use transformation can provide a reference for the optimization of territorial space and the sustainable development of agriculture and rural areas in these regions. Taking Ganzhou District of Zhangye City as an example, the eco-environmental effect and spatial differentiation mechanism of land use transformation in arid oasis agricultural areas were studied by using transfer matrix, eco-environmental quality index, moving window method, ecological contribution rate, and geographical detector model. The results show that: 1) From 1990 to 2020, the production and living spaces continued to expand, the ecological space decreased in general, the land use structure changed from monotonic increase of agricultural space to diversified transformation types, and the functions changed from "ecological transformation to production" to "two-way transformations between production and living, ecological, and production". 2) From 1990 to 2020, the eco-environmental effect of land use transformation was generally positive, and the quality index of villages and towns with large cultivated land area was relatively high. The transformation from other ecological space to forest, grassland, and water areas and agricultural production space has the largest positive ecological effect, and the transformation from forest, grassland and water ecological spaces to other ecological and agricultural production spaces has the largest negative ecological effect. In recent 10 years, the negative ecological effect caused by the excessive expansion of agricultural production space into the forest, grassland, and water ecological spaces is emerging. 3) Population density, per capita GDP, and vegetation coverage are the key factors for the differentiation of eco-environmental quality, while precipitation, land development intensity, proportion of cultivated land area, and per capita water resources are the core factors. The interaction of the factors leading to the trade-off game between the increase of agricultural production space and the compression of forest, grassland, and water ecological spaces produces an adaptive steady-state mechanism, thus forming an overall low eco-environmental quality pattern. The different self-organization, adaptation, and transformation abilities of villages and towns in the face of external interferences lead to different economic development and land use modes, and then shape the differentiated eco-environmental quality pattern of villages and towns.

    Table and Figures | Reference | Related Articles | Metrics
    Population exposure risk to urban extreme heat environment based on ECOSTRESS land surface temperature and mobile phone signaling data: A case study of Xi’an City
    ZHAO Xin, ZHAO Kaixu, HUANG Xiaojun
    PROGRESS IN GEOGRAPHY    2022, 41 (11): 2061-2072.   DOI: 10.18306/dlkxjz.2022.11.006
    Abstract26)   HTML0)    PDF (17169KB)(0)      

    The dual effects of global warming and urban heat island have increasingly exacerbated the extreme heat risk, and given severe challenges to the health of urban residents and socioeconomic development. Accurately assessing the population exposure to urban extreme heat environment has become a current research hotspot. In this study, we used the new ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) and mobile phone signaling data to explore the spatiotemporal variation of land surface temperature and population in Xi'an City, developed a population exposure risk assessment model, and revealed the spatiotemporal pattern and dynamic characteristics of the exposure risk on a refined scale. The results show that: 1) The diurnal cycling of land surface temperature in summer showed obvious fluctuation characteristics, especially a large difference between day and night. The average temperature in the daytime was 35.5 ℃ and 21.5 ℃ at night, and land surface temperature exhibited more spatial variations in the daytime. The urban heat island effect of different intensities existed at all times of the day, and it varied from aggregation state to discrete state and then to aggregation state. 2) Nearly three quarters (73.6%) of the population were distributed within the third ring road with a single center structure, and the population was concentrated along the central axis. The population distribution change displayed the characteristics of "centripetal in the daytime and centrifugal at night". 3) The medium risk, high risk, and extremely high risk areas of population exposure were mainly scattered in the central area of the city, and 86.6% of the extremely high risk areas were located within the third ring road, while the negligible risk and low risk areas were mainly concentrated in the periphery. 4) The dominant factors leading to difference of heat exposure risk were grouped into three types including temperature-dominated, population-dominated, and co-dominated, and their proportion to the total urban area were 37.9%, 30.6%, and 31.5%, respectively. This research can provide a scientific reference for the heat exposure risk identification and targeted adaptive strategies.

    Table and Figures | Reference | Related Articles | Metrics
    The impact of urban housing burden on settlement intention of floating population in Shanghai
    YE Ling, WANG Jiekai, SONG Weixuan
    PROGRESS IN GEOGRAPHY    2022, 41 (11): 2073-2085.   DOI: 10.18306/dlkxjz.2022.11.007
    Abstract25)   HTML0)    PDF (6983KB)(0)      

    Settlement intention affects the settlement decision of the floating population in cities, and the increasing housing burden has gradually become a key factor restricting the settlement decision of floating population. In view of the relative deficiency of existing research on how housing burden affects the settlement intention of floating population and differences between groups, this study took Shanghai Municipality as an example and used the data in 2012 and 2017 collected from the migrant population dynamic monitoring survey (CMDS) in Shanghai and a binary Logistic regression model to analyze the influencing factors and changes of the floating population's settlement intention, and examined the influence of housing burden on settlement intention and decision of the floating population. The results show that: 1) The increase of housing price to income ratio has a significant negative effect on the floating population's settlement intention, and the groups with lower education level and lower employment status suffer a more significant effect. 2) The rapid growth of housing price increases the housing burden of the floating population, increases their settlement difficulty, and forces them to change their settlement intention and decision. 3) Housing burden will lead to the "driving out" effect on the floating population with lower skills, while the increasing pressure will lead to more people moving out or reduce the quality of life. It is recommended that governments should provide more inclusive, affordable, and diversified housing for the floating population to share the development achievements, so as to promote the ultimate realization of the development goals of "houses are for living in, not for speculation" and common prosperity.

    Table and Figures | Reference | Related Articles | Metrics
    Characteristics and impact factors of individual spatial-temporal accessibility based on potential path area:A case study in Shanghai suburbs
    FAN Shubin, SHEN Yue
    PROGRESS IN GEOGRAPHY    2022, 41 (11): 2086-2098.   DOI: 10.18306/dlkxjz.2022.11.008
    Abstract33)   HTML0)    PDF (4585KB)(0)      

    Accessibility is one of the core topics in the study of human geography and related disciplines. Based on the theory of time geography and the human-oriented research paradigm, the measurement methods of spatial-temporal accessibility have attracted the attention of scholars and have become an important approach in quality of life and social equity research. This empirical study measured the individual spatial-temporal accessibility by characterizing daily potential path area and using activity-travel diary data of residents in Shanghai suburbs in 2017. Firstly, road network analysis and secondary development were used to measure individuals' potential path area in weekdays and weekends. Secondly, flexible time, daily potential path area, and density of accessible facilities were taken as indicators to analyze the characteristics of individual spatial-temporal accessibility, and three-dimensional GIS visualization and variance analysis were used to compare the differences in both spatial and temporal dimensions. Finally, the effects of location factors, time factors, and socioeconomic attributes on residents' spatial-temporal accessibility were explored by using multiple regression analysis methods. The results show that significant differences exist in residents' spatial-temporal accessibility, and residents living in outer suburbs face stronger spatial-temporal constraints and greater spatial dilemmas; the location and time factors are the main influencing factors of residents' spatial-temporal accessibility; spatial-temporal accessibility with individuals as the unit of analysis can better reveal the differences between individuals and groups. We also found that spatial-temporal accessibility has advantages in revealing the dynamic characteristics of accessibility in the context of geographic mobility, and the differentiation in temporal and spatial dimensions reflects the need to pay attention to different locations and different groups of people in suburban development and construction. This study is an empirical test of individual spatial-temporal accessibility measures in the suburbs, which is helpful for understanding the relationship between individual daily activity arrangements and spatial-temporal accessibility. The results of the study provide a basis for the optimal spatiotemporal configuration of facilities and the improvement of residents' quality of life in the construction of suburban new towns.

    Table and Figures | Reference | Related Articles | Metrics
    The impact of residential environment on residents’ subjective well-being: An example from mixed residential communities in Shenzhen
    LIU Xiaofei, WANG Zhenbo, SONG Jing, CUI Xuegang
    PROGRESS IN GEOGRAPHY    2022, 41 (11): 2099-2107.   DOI: 10.18306/dlkxjz.2022.11.009
    Abstract19)   HTML0)    PDF (1979KB)(0)      

    As the aspiration for a better life grows, people living in allotment housing, as a category of "sandwich class", deserve to have their living environment and subjective sense of well-being fully appreciated. Mixed residential communities in Shenzhen are used as an example to reveal the mechanism by which the environment of allotment housing settlements affects residents' subjective well-being. Questionnaire surveys and interviews were conducted for three typical settlements, and structural equation models were constructed by using sense of place and housing type as mediation and moderating variables respectively for the influence of settlement environment on residents' subjective well-being. The following findings were obtained. Overall, the residential environment has a significant direct impact on residents' subjective well-being. The social environment has a direct impact on subjective well-being. However, with regard to the built environment, residential zone environment, community environment and housing environment do not have a significant effect on subjective well-being. Analysis of mediation effect shows that social environment can indirectly affect subjective well-being by building residents' sense of place. Finally, with regard to housing type, the subjective well-being of talent housing tenants is more strongly influenced by the social environment than that of guaranteed housing tenants. The results of the study can provide scientific decision support for the improvement of the housing allocation system.

    Table and Figures | Reference | Related Articles | Metrics
    Production practice of rural traditional craft intangible cultural heritage from the perspective of geographies of making
    HUANG Suyun, TAO Wei, CAI Haohui
    PROGRESS IN GEOGRAPHY    2022, 41 (11): 2108-2122.   DOI: 10.18306/dlkxjz.2022.11.010
    Abstract36)   HTML0)    PDF (18004KB)(0)      

    With the rise of the third wave of craft revival in the West, "making culture" has become an emerging topic concerned by Western geographers, and the embodiment and material production forms of traditional craft making have also received attention. This research selected Shitouzhai Bouyei batik, a traditional craft intangible cultural heritage in Guizhou Province as a case study. Based on the perspective of geographies of making, we analyzed the production practice of Bouyei batik. The research found that batik production is an embodied, material, local, and relational practice. In different spaces such as human body, family, workshop, community, and online, the body of the craftsman is the subject of the batik production practice and through embodied practice, the batik skills can be improved, and the products can be innovated by using their agency. The making practice also shapes the body of the craftsman, resulting in positive or negative embodied experience. The batik production process has distinct material characteristics, and the agency of materials guide a craftsman to carry out human and material cooperative production; Local elements such as local natural environment and traditional culture are the basis and conditions of batik production, and the production practice of batik also shapes the identity and characteristics of the place; Batik production is not only a creative practice for craftsmen to express themselves, but also to construct a specific sociocultural relations. The research helps to strengthen the attention to the cultural dimension in the practice of economic production, and provides important empirical evidence for the theoretical study of cultural economy. By paying attention to the physical skills and embodied experience of the craftsmen, it also helps to provide more caring safeguards in the practice of intangible cultural heritage protection.

    Table and Figures | Reference | Related Articles | Metrics
    Characteristics and influencing factors of thieves’ travel distance: A comprehensive consideration of residential community, target community, and physical barriers to travel
    LI Jiaqi, SONG Guangwen, XIAO Luzi, ZHANG Xuewei
    PROGRESS IN GEOGRAPHY    2022, 41 (11): 2123-2134.   DOI: 10.18306/dlkxjz.2022.11.011
    Abstract30)   HTML0)    PDF (3192KB)(0)      

    Understanding criminal behavior from the perspective of journey to crime (JTC) is of great significance for that it can help better reveal the mechanism of crime occurrence and crime prediction. However, limited by the access to criminal data, seldom research in China has focused on journey to crime so far. Existing studies mainly discussed the impact of the characteristics of the target community on offender's journey to crime, and few studies comprehensively considered the integrated impact of the residential community, the target community, and physical barriers during the journey to crime. To fill theses gaps, this study applied a multilevel linear regression model based on data of 4119 thief trips in ZG City, one of the bustling metropolises in China, to explore the influencing factors of journey-to-crime distances at the levels of individual layer and target community layer. The results show that: 1) Compared with the target community layer, the individual layer (including factors of personal socioeconomic attributes, crime location selection preference, physical barriers of travel, as well as differences between residential and target communities) has a greater impact on the journey-to-crime distance. The older the offender is, the shorter the distance of their journey to crime will be, while the effect of gender of offenders is not significant. 2) The physical barriers during the journey to crime have a strong explanatory power for the model. The more barriers the offenders have to travel pass, the longer distance of their journey to crime will be. Besides, the barriers will affect the effects of subways, supermarkets, and banks in the target community on the journey-to-crime distance. 3) The difference in facilities between the residential community and the target community has an impact on the journey-to-crime distance. More bus stops, schools, and supermarkets and fewer subway stations in the residential community than those in the target communities will lead to shorter distance of journey to crime. These findings shed some light on the criminal geographic profiling and crime prevention and control.

    Table and Figures | Reference | Related Articles | Metrics
    Geo-relationship between China and the South Caucasus region based on the geo-potential model
    BA Shiqi, NIU Xueli, YAO Yuyang, CHEN Ying
    PROGRESS IN GEOGRAPHY    2022, 41 (11): 2135-2151.   DOI: 10.18306/dlkxjz.2022.11.012
    Abstract43)   HTML0)    PDF (9065KB)(0)      

    Due to their geographical location and outstanding resource endowments, the South Caucasus countries have always been an area where multiple civilizations meet and great powers play games. It is of great significance to explore the evolution of China's geo-relationship with them for the future cooperation in economic development and political strategies. Based on the power theory of international relations, this study constructed a geo-potential model to describe the evolution characteristics of the geo-relationship between China and the South Caucasus countries from 2000 to 2020. The results indicate that: 1) The geo-potential between China and the South Caucasus countries from 2000 to 2020 showed an upward trend year by year and experienced three development stages. In the period from 2000 to 2005 the geo-potential was low and stable, the period from 2006 to 2012 was the initial growth stage, and the period from 2013 to 2020 was a period of rapid growth. 2) In terms of the average geo-potential in 20 years, growth rate, and growth range, the spatial trend is China-Armenia > China-Azerbaijan > China-Georgia. As of 2020, the geo-potential of China-Armenia was the highest; In terms of the temporal changes of geo-potential, China-Armenia started at a low level and rose rapidly in the later period; China-Azerbaijan started at a high level and fluctuated in the later period; China-Georgia started at a low level and rose evenly in the later period. 3) The driving mechanisms that affected the evolution of these geo-relationships can be divided into positive mechanism and negative mechanism. The positive driving forces include geo-location, geo-economy, geo-culture, and geo-diplomacy. Geo-location is the background force, geo-economy is the dominant force, geo-culture is the potential force, and geo-diplomacy is the root force. The negative driving forces include, on the one hand, the unstable internal geo-politics and the strong divide of the internal geo-culture in the region, and on the other hand, the difficulty of intervention of China's geo-diplomacy and the weakness of competition of China's geo-economy. The internal elements of the two driving systems interact with each other and jointly affect the evolution of the geo-relationship between China and the South Caucasus region.

    Table and Figures | Reference | Related Articles | Metrics
    Identification of rural development types and revitalization paths in poor mountainous areas: Taking Luanchuan County, Henan Province as an example
    LUO Qing, CHEN Siyi, WANG Yifei, LI Menglin
    PROGRESS IN GEOGRAPHY    2022, 41 (10): 1783-1794.   DOI: 10.18306/dlkxjz.2022.10.001
    Abstract324)   HTML0)    PDF (9986KB)(0)      

    Accurate assessment and classification of rural development levels is an important issue in rural revitalization research, which can provide a scientific basis for the implementation of rural revitalization strategies by development type and stage. Taking Luanchuan County, Henan Province as an example, this study integrated multi-source data such as administrative village census and electronic maps to construct a multi-dimensional development potential measurement indicator system for the village scale, and carry out multi-dimensional evaluation and type identification of rural development potential. The results show that: 1) The overall situation of rural multi-dimensional development potential in Luanchuan County is poor, with only 45.89% of the villages having medium and above development potential, and the interaction between any two dimensions has a nonlinear enhancement effect on explaining the spatial differentiation of multi-dimensional development potential. 2) The spatial differentiation characteristics of rural multi-dimensional development levels are obvious. Villages with high development potential are concentrated near the county seat and where key township centers are located, while villages with low and medium-low development potential are mainly distributed in the border areas of the county and in the areas between the towns in the central part. 3) The development level of each dimension shows relatively significant spatial agglomeration characteristics, but the spatial agglomeration pattern is different for different dimensions. Villages with higher development level in geographical location and natural background are mainly concentrated in areas with good resource endowment and relatively flat terrain; and villages with higher development level in the four dimensions of geographical location, population development, economic foundation, and social welfare gather near the county seat, township centers, and tourist attractions. 4) According to the multi-dimensional development assessment results, the villages are divided into five types: priority revitalization, preliminary revitalization, maintaining the status quo, decline and relocation, and priority relocation. Based on the characteristics of different types of villages, revitalization paths and development strategies are proposed to improve the development quality of villages.

    Table and Figures | Reference | Related Articles | Metrics
    Path of industrial revitalization from the perspective of the relationship between factors of rural production space system: A case study of Chongqing Municipality
    WANG Cheng, CHENG Guishan
    PROGRESS IN GEOGRAPHY    2022, 41 (10): 1795-1805.   DOI: 10.18306/dlkxjz.2022.10.002
    Abstract145)   HTML0)    PDF (6221KB)(0)      

    Rural production space system is the spatial assembly for the implementation of rural industrial revitalization, the relationship and strength of the various factors of the system are directly related to the operation of the system, and a stable and orderly system is the basic guarantee for the realization of industrial revitalization. Based on the relationships between the factors of rural production space system, and on the basis of identifying common indicators through literature review and characteristic indicators through policy text analysis, this study built an indicator system, analyzed the spatial representation of factors of the system, and used structural equation model to analyze the role of the relationship and strength of the factors. Taking Chongqing Municipality as the research object, we tested these relationships and put forward its industrial revitalization path according to the local conditions. The results show that the method of constructing the indicator system from the two dimensions of commonality and individuality is scientific, reasonable, and practical; The relationship and strength of the rural production space system factors in Chongqing are different, and the spatial representation of the rural production space system factors presents a zonal pattern; This study put forward the path to promote the industrial revitalization of Chongqing from three aspects: consolidating the industrial infrastructure, constructing the talent cultivation system for industrial revitalization, and enhancing the efficiency of industrial upgrading.

    Table and Figures | Reference | Related Articles | Metrics
    Selection of homestead reuse types from the perspective of rural spatial governance: A study based on 56 pilot villages of homestead reform in Jinghai District, Tianjin Municipality
    CAI Weimin, ZHANG Yu, ZHANG Bailin, YIN Jian
    PROGRESS IN GEOGRAPHY    2022, 41 (10): 1806-1818.   DOI: 10.18306/dlkxjz.2022.10.003
    Abstract126)   HTML0)    PDF (12839KB)(0)      

    The type of homestead reuse is affected by factors mainly including village and homestead utilization characteristics. Taking Jinghai District of Tianjin Municipality as an example, this study constructed a theoretical analysis framework for the selection of homestead reuse types by coupling "village-land use". By constructing the measurement models of village characteristics and homestead utilization characteristics, this study classified and determined the types of village homestead reuse from these two aspects for the 56 pilot villages of homestead reform in the district, to provide policy recommendations for rural spatial governance. The results show that: 1) The characteristics of villages are identified as three types: industry-oriented, resource-oriented, and balanced development. 2) The utilization characteristics of homesteads are identified as single-function dominant and multi-function dominant based on the village as a unit. 3) Based on the characteristics of village and land use, the relationship function is constructed to identify the types of homestead reuse in three categories: multi-subject category, factor flow category, and characteristic resource category. The research suggests that using multi-source data to identify the types of homestead reuse based on the characteristics of village and land use is an effective way to provide guidance for homestead reuse and the reform of the homestead system.

    Table and Figures | Reference | Related Articles | Metrics
    Measurement and influencing factors of rural regional system resilience in mountainous areas: A case study of Luotian County in the Dabie Mountains
    ZI Minggui, ZHOU Yi, LUO Jing, ZHANG Chunyan, GAO Zixiang
    PROGRESS IN GEOGRAPHY    2022, 41 (10): 1819-1832.   DOI: 10.18306/dlkxjz.2022.10.004
    Abstract120)   HTML0)    PDF (9919KB)(0)      

    Resilience theory is one of the core topics of sustainability science. Integrating rural regional system and resilience theory at the micro-scale is a response and reflection to the rural revitalization strategy. By constructing a rural regional system risk-resilience (R-PAT) model in mountainous areas, this study examined the system resilience of 68 sample villages in Luotian County of the Dabie Mountains using entropy method, and analyzed its spatial patterns. After identifying the R-PAT type, the influencing factors of the spatial differentiation of the rural regional system resilience in mountainous areas were examined through geographical detector. The results show that: 1) There are significant differences in the resistance, adaptability, transformability, and comprehensive resilience index of villages in Luotian County. The comprehensive resilience index of the sample villages is not high in general and has great potential for improvement. 2) According to the changes of resilience index and risk index, the rural regional systems in mountainous areas are divided into four types: high risk-low resilience, high risk-high resilience, low risk-high resilience and low risk-low resilience. The high risk-low resilience type and low risk-low resilience type are dominant in Luotian County. 3) The resilience of rural regional system in Luotian County is affected by multiple factors. Rural endogenous power is the key factor for the spatial differentiation of resilience level of the area, rural natural and social backgrounds are the basic factors, and rural development potential is the driving force for the continuous improvement of the system potential and the gradual strengthening of the resilience capacity. This study focused on applying the resilience theory to the micro spatial units of mountainous rural areas to provide theoretical guidance and case support for the consolidation of poverty alleviation achievements in these areas and their revitalization.

    Table and Figures | Reference | Related Articles | Metrics
    Effects of capital endowment and urban context on opportunity entrepreneurship of migrants in urban China
    YIN Jiangbin, ZHANG Qianqian, LIN Sainan, HUANG Xiaoyan, QI Qi
    PROGRESS IN GEOGRAPHY    2022, 41 (10): 1833-1845.   DOI: 10.18306/dlkxjz.2022.10.005
    Abstract62)   HTML0)    PDF (3009KB)(0)      

    Under the background of "mass entrepreneurship and innovation", the underlying mechanism of migrant opportunity entrepreneurship is of great significance for promoting the new-type urbanization and high-quality development. By focusing on individual capital endowment and urban contextual factors, this study analyzed the mechanisms of opportunity entrepreneurship of migrants in urban China by using data from the 2017 China Migrants Dynamic Survey and dual-level logistic modeling, and comparing three different types of migration scopes—interprovincial, interprefecture/intercity, and intercounty. The results show that: 1) The overall level of opportunity entrepreneurship of migrants was low, whereas the entrepreneurial rate of interprovincial migrants was higher than interprefecture/intercity and intercounty migrants. 2) Different capital endowments had different effects on the opportunity entrepreneurship of the three types of migrants. A complementary relationship between social capital and financial capital was observed. With the expansion of the migration scope, the influence of social capital on migrant opportunity entrepreneurship was increasing, while the impact of financial capital was gradually weakening. 3) Urban context explains 10%-20% of the variation of the opportunity entrepreneurial decision of migrants. The larger the scope of migration, the more sensitive the migrants were to the change of external context. In particular, the segmentation of labor market significantly affected the entrepreneurial decision of the interprovincial migrants. In addition, the interaction between individual capital endowment and urban context had both negative and positive effects on opportunity entrepreneurship. This study revealed the influencing factors of opportunity entrepreneurship and its difference among migrants in different migration scopes, which provides a reference for improving urban entrepreneurship support system.

    Table and Figures | Reference | Related Articles | Metrics
    The floating population’s spatial capital in the places of origin and their housing choices in the destination cities
    DONG Yajing, LIN Liyue, ZHU Yu, KE Wenqian, XIAO Baoyu
    PROGRESS IN GEOGRAPHY    2022, 41 (10): 1846-1858.   DOI: 10.18306/dlkxjz.2022.10.006
    Abstract79)   HTML0)    PDF (2936KB)(0)      

    The floating population's housing choices in the destination cities is directly related to their citizenization level and the high quality development in the new phase of urbanization. While a large body of literature has been generated concerning floating population's housing choices and its determinants, little has been done regarding that the role of floating population's spatial capital of the original places. Therefore, based on the 2017 China Migrants Dynamic Survey conducted by the National Health and Family Planning Commission and China's city statistical yearbook 2017, this study analyzed the ways in which spatial capital in the original places of floating population shaped their housing choices in the destination cities. The results show that the housing choice of the floating population in the destination cities is mainly rent housing, supplemented by property right housing and free housing. Findings from our analysis indicated that the floating population's spatial capital in the places of origin had significant effect on their housing choice of in the destination cities. Specifically, there is not a simple linear correlation between the city size of the original places and housing choices in the destination cities; the location and the level of humanistic development in the places of origin have significant effects on housing property rights in the destination cities. However, being from town and county places of origin, floating population tends to obtain housing through the market. The robustness test is carried out by deleting a small number of samples from each prefecture level city, which shows that the above conclusions are robust and reliable. Our findings also indicated that the floating population's spatial capital in the places of origin exerted different impacts on different heterogeneity groups in terms of their generation, education level and income. More precisely, compared with the new generation, high education level and high-income floating population groups, the heterogeneity analysis results show that the influence of spatial capital in the places of origin on the housing choices of the floating population in the destination cities is significantly different between different generations, education level and income level. Based on a new way of conceptualizing and measuring spatial capital in the place of origin, we especially focused on the role of spatial capital in the places of origin of floating population, which expanded the perspective of research on housing choice differentiation of floating population. In the meantime, the results also have important policy implications for further optimizing the housing policy for floating population and promoting the citizenization of floating population.

    Table and Figures | Reference | Related Articles | Metrics
    Joint distribution and risk of the compound disaster caused by rainfall and storm surge across Chinese coastal region
    XU Hanqing, TAN Jinkai, LI Mengya, LIU Qing, WANG Jun
    PROGRESS IN GEOGRAPHY    2022, 41 (10): 1859-1867.   DOI: 10.18306/dlkxjz.2022.10.007
    Abstract69)   HTML0)    PDF (4778KB)(0)      

    Coastal regions are extremely vulnerable to compound floods caused by extreme rainfall and strong storm surge. To improve the effectiveness of flood control measures in Chinese coastal cities and reduce the losses caused by urban compound flooding, it is important to analyze the joint probability of occurrence of extreme rainfall and strong storm surge and design the joint distribution function of daily storm surge and cumulative rainfall. In this study, we employed the Copula function to fit the joint probability distribution of storm surge and cumulative rainfall from 1979 to 2014. Then we used the Kolmogorov-Smirnov (K-S), Akaike Information Criteria (AIC), and Bayesian Information Criteria (BIC) statistical methods to obtain the optimal Copula function between storm surge and cumulative rainfall at each gauge alone the coast of China. Finally, based on the Copula method, we assessed the design value of compound scenarios of storm surge and rainfall in coastal China. The results indicate that the northern and southern parts of Chinese eastern coast have high frequency and the middle part has low frequency of compound disasters of strong storm surge and extreme rainfall. Western Guangdong, northern Fujian, southern Zhejiang, Shandong, and Liaoning provinces have a high frequency of compound disasters. Under the 50-year return period, the Beibu Gulf, northern Hainan Island, the coast of Zhejiang Province, and parts of the Bohai Bay have extreme rainfall and high storm surge. This study shows the temporal and spatial distribution of compound disasters of storm surge and rainfall in coastal China, and provides a framework for compound disaster scenario prediction.

    Table and Figures | Reference | Related Articles | Metrics
    Influencing factors of waterlogging and waterlogging risks in Shenzhen City based on MAXENT
    HE Peiting, LIU Danyuan, LU Siyan, HE Xiaoyu, LI Hua, YANG Liu, LIN Jinyao
    PROGRESS IN GEOGRAPHY    2022, 41 (10): 1868-1881.   DOI: 10.18306/dlkxjz.2022.10.008
    Abstract80)   HTML0)    PDF (10872KB)(0)      

    Urban waterlogging is one of the most common natural disasters. In-depth analysis of its influencing factors and estimation of high-risk waterlogging areas are of great significance for waterlogging prevention and management. Although some studies have approached these issues through advanced machine learning methods such as random forest and neural network, the identified influencing factors are mainly related to the two-dimensional space. Moreover, while traditional methods require both accurate positive and negative samples, there is an inevitable subjectivity in the selection of negative samples. To address these disadvantages, this research took Shenzhen City as the study area and employed the MAXENT model, which does not require negative samples, to explore the relationship between potential influencing factors (including three-dimensional building factors) and waterlogging risk during 2015-2019. The results show that the dominant environmental factors behind the density of waterlogging hotspots were the proportion of impervious surface, the proportion of green space, population density, rainstorm peak rainfall, and fluctuation of the terrain. With regard to the three-dimensional building factors, building congestion, average building height, and building shape coefficient have a crucial impact on urban waterlogging. According to the waterlogging probability estimated by MAXENT, the total area of potential high-risk waterlogging areas in Shenzhen is approximately 491 km², accounting for 24.58% of the total area of the city. These areas are mainly located in Longhua District, Nanshan District, the north of Longgang District, Guangming District, and Futian District. Through the spatial autocorrelation analysis of the potential high-risk areas, we found that some areas in the north of Nanshan District, the west of Futian District, and central Luohu District where there were no waterlogging hotspots in the past, exhibit high concentration levels. This indicates that the waterlogging probability in these areas would be positively affected by the surrounding areas. Therefore, focus should be placed on high-risk areas for achieving more accurate waterlogging prevention and management. Urban waterlogging risk assessment is an important part of disaster management. The assessment results of waterlogging risk not only can provide support for disaster prevention and risk mitigation, but also are essential for protecting people's lives and the sustainable development of cities.

    Table and Figures | Reference | Related Articles | Metrics