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    10 October 2021, Volume 40 Issue 10 Previous Issue   
    ArticlesPerspectives and Contention
    Rural public space governance in China
    WEI Luyao, LU Yuqi, JIN Cheng
    2021, 40 (10):  2707-2721.  doi: 10.11821/dlyj020200561
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    It is a powerful guarantee for the implementation of China's Rural Revitalization Strategy to clarify measures for the governance of rural public space as well as to promote the orderly reconstruction of rural space comprehensively, which is an inevitable requirement for deepening the problem and strategic orientated perspective of rural geography research. Firstly, this paper defined the connotation of rural public space and its classification clearly. Secondly, it reviewed the historical evolution process and characteristics of rural public space in China. Thirdly, it pointed out the realistic bottlenecks such as unclear ownership relationship, limited land system and disordered spatial organization in rural public space. This paper constructed a comprehensive governance system of “demand-planning-organization” in rural public space, and used a governance idea which combines “from top to down” administrative control with “from bottom to up” governance demand, so as to strengthen the important role of material space optimization and ownership integration in the rural reconstruction. Specifically, the basic demand of public space provides the prerequisite for rural reconstruction, the overall governance of rural public space clarifies the main responsibilities of participants, and the governance of public space organization is helpful to promote the coordination abilities of rural development elements. On this basis, we put forward the governance framework of rural public space, which can activate the transformation of key elements, clarify the responsibilities of ownership subjects and consolidate the institutional security system. On the one hand, rural reconstruction provides direction for rural public space governance. On the other hand, the governance of rural public space provides a guarantee for rural reconstruction. Rural reconstruction and rural public space governance are closely related to improvement of the rural spatial planning system and enhancement of the rural social governance capacity. It is beneficial to promote the modernization of rural governance system and further rural revitalization while deepening the mutual assistance mechanism between rural public space governance and rural reconstruction. It is of great significance to carry out research on the governance of rural public space in China, which will provide an important basis for improving the rural spatial planning system and promoting the modernization of rural governance system.

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    Articles
    Representation, measurement and attribution of spatial order of traditional villages in southern Hunan
    DENG Yunyuan, FU Xiangxiang, ZHENG Wenwu, ZHANG Haibo
    2021, 40 (10):  2722-2742.  doi: 10.11821/dlyj020210651
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    The spatial form of traditional villages is subject to both natural and cultural impact, and demonstrates complicated differences. The spatial differences can be used to identify the man-land relationship as well as the spatial mechanism and cultural formation mechanism within the system, and are therefore a major scientific topic in human geography. From the perspective of spatial order, this research selects 10 typical traditional villages in southern Hunan province, and compares the differences in the directional order, compactness, fractional dimension, and centrality and centralization of social network analysis within and between villages. The TOPSIS approach is employed to establish a comprehensive evaluation system, explore the universality and individuality in the spatial order of traditional villages and analyze the influencers and spatial mechanism. The findings suggest that directional order is the most direct representation of the spatial order of traditional villages. The average direction order values of traditional villages in the study area are all greater than 0.7. Compactness and fractional dimension represent how compact and complicated the spatial form is, and reflect the outwards spatial order of the villages. The traditional villages in southern Hunan are quite compact, with less complicated boundaries. The degree centrality represents how central the villages are, the closeness centrality represents the clustering of villages, and the betweenness centrality represents the brokenness of the villages. The closeness centrality and betweenness centrality fall near the geometric center of the traditional villages in the study area. The spatial order of villages represents the self-organization of social order. The traditional villages have good spatial order, with the influencing factors being natural landscapes, kinship, economy, and culture and education. The findings are of theoretical and practical significance to identifying the spatial form of traditional villages and their cultural formation mechanism.

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    The spatio-temporal evolutionary pattern and driving forces mechanism of green technology innovation efficiency in the Yangtze River Delta region
    SUN Yanming, SHEN Simiao
    2021, 40 (10):  2743-2759.  doi: 10.11821/dlyj020210102
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    In the strategic background of high quality integration in the Yangtze River Delta (YRD), green technology innovation, as the combination of green development and innovation-driven national strategies, has become an important engine of green transformation and development in the region. This paper, by constructing a super-efficiency SBM-DEA model that includes undesired output, measures the efficiency of green technology innovation in core cities of the YRD from 2010 to 2017, and studies its spatio-temporal evolutionary pattern and driving forces mechanism. The results show that, (1) In terms of time series evolution, the green technology innovation efficiency in the study region shows a “W”-shape pattern. (2) In terms of spatial evolution, the green technology innovation efficiency in the southeast of the YRD is relatively stable, while changes in the central and southwestern parts are obvious, showing the characteristics of continuous agglomeration and development as a whole. (3) In terms of spatial correlation, the regional spatial relationship of green technology innovation efficiency in the YRD has gradually changed from the “polarization effect” to the “trickle down effect”. As a whole, Theil index and Gini coefficient show the characteristics of an “M” change opposite to the evolution of time series. (4) Based on the measured results of input, output and efficiency of green technology innovation in the delta region, all cities are identified into six types: high-high-high, high-high-low, high-low-low, low-high-high, low-low-high, and low-low-low This further reveals regional differences in the development path of green technology innovation in the YRD. (5) The research results of driving forces mechanism show that environmental regulation, economic development, industrial structure, opening degree to the outside world, human capital and urbanization all play significant positive roles in promoting the spatio-temporal evolution of green technology innovation efficiency in the YRD, while the innovation support has a significant negative spillover effect. (6) On the whole, the green technology innovation in the study region does have a significant “Porter Hypothesis” effect, but the “pollution paradise” effect mentioned in the literature has not been found.

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    Spatio-temporal dynamics and factors of urban investment linkage level in the Yangtze River Delta
    GAO Peng, HE Dan, NING Yuemin, HAN Minglong
    2021, 40 (10):  2760-2799.  doi: 10.11821/dlyj020200453
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    Based on corporate equity connection investment data among cities during 2003-2018, this study investigates the urban investment linkage level in the Yangtze River Delta (YRD), aiming to explore spatio-temporal dynamics of urban investment linkage level in this region at global(outside the Chinese customs territory), national(within the Chinese customs territory), and regional scales by the social network analysis and Markov chain methods. The spatial panel data econometric model further reveals the factors of urban investment linkage level. The results of the study are as follows: (1) The amount of intercity investment in the YRD has dramatically increased, and the industry structure of investment at the global, national, and regional scales are characterized by service-driven, manufacturing-driven, and industry-equilibrium types, respectively. (2) The urban investment network shows the characteristics of regional orientation and polycentric evolution. Cities such as Shanghai, Hangzhou and Nanjing are playing an increasingly important role of converging the global and national investment, and radiating the region internally in the YRD. (3) The spatial distribution of urban investment linkages is uneven at global, national and regional scales, showing that the spatial structure supported by the Shanghai-Nanjing-Hefei-Hangzhou-Ningbo development corridor is gradually highlighted. The global, national, and regional levels of urban investment linkage present the outstanding characteristics of continuous distribution of low-level areas, first coastal and then inland expansion of improved spaces, and wide-area expansion of medium- and low-level areas. (4) The urban investment linkage level tends to shift to the adjacent higher level, and it is difficult to realize the leap forward transfer. There are significant club convergence effects and Matthew effects. With the expansion of spatial scale, the difficulty of transferring to a higher level will increase, and the club convergence effect and Matthew effect will also increase. The geographical spatial pattern plays an essential role in the transfer of the level of urban investment linkage at all scales. The higher- and lower-level cities have positive and negative spatial spillover effects on the surrounding cities, respectively. (5) Industrial base, labor cost and urban administrative level all have a significant impact on the urban investment linkage level at all scales, while innovation capacity has no significant impact on it. Time distance from Shanghai has a significant impact on the urban investment linkage level at global and national scales. Economic globalization only affects urban investment linkage level at global scale.

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    The characteristics and driving mechanism of allometric growth of urban population and green space area in the Yangtze River Delta region
    YIN Shanggang, YANG Shan
    2021, 40 (10):  2780-2795.  doi: 10.11821/dlyj020201111
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    The rapid development of population urbanization and the lag of ecological urbanization are major problems in the process of China's rapid urbanization. This paper, taking the urban population and green space area in the Yangtze River Delta (YRD) as the research object, constructs an urban population and green space area allometric growth model to analyze the spatial and temporal variations of the relationship between the two from 2000 to 2018, and uses the geographic detector model to reveal the driving mechanism of the allometric growth. The results show that: (1) The urban population in the study area is increasing rapidly, while the green space construction land is growing slowly. The allometric relationship between urban population and green space area in the region has gradually changed from the coordination of human and land to population expansion. Most cities are characterised by green space expansion from 2000 to 2008, but by population expansion from 2009 to 2018. (2) Education input, population concentration, facility supply, land development, and external development degree are the main factors affecting the allometric growth of urban population and green space area in the YRD. The interactive explanatory power of the two factors is higher than that of the single factor, and the influence among the factors is characterized by synergistic enhancement. (3) The allometric growth of urban population and green space area in the YRD is the result of the joint drive of administrative force, market force and foreign capital. The three driving forces are interrelated and synergistic, and the leading driving force is gradually transformed from administrative force to market force.

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    Spillover effect of China's high-speed railway stations and its spatial differentiation: An empirical study based on night-time light datasets
    NIU Fangqu, XIN Zhongling
    2021, 40 (10):  2796-2807.  doi: 10.11821/dlyj020210183
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    As an epoch-making reform in the history of China's transportation, high-speed railway (HSR) has had a significant impact on the economic development and regional spatial pattern of the cities along the line. Accurate measurement of the spatial spillover effect of HSR stations, as well as its spatial heterogeneities and influencing factors, is of great significance for the layout of HSR stations, the construction of new HSR cities and the coordinated development of regions. This study interprets the night-time light intensity of 527 HSR stations in 180 cities from 2004 to 2017, and estimates the spillover effect of each HSR station by using the difference-in-differences approach. It is found that the opening of China's HSR stations has increased the intensity of regional economic activity by about 4.7%. This spatial spillover effect is affected by many factors and has great spatial heterogeneity. (1) The increasing number of HSR stations in the same city will weaken the spillover effect of the stations. And there is a significant competitive relationship between airports and HSR stations, which will weaken the agglomeration effect of HSR on economic activities. (2) Compared with the central, western, and northeast regions, the spillover effect of HSR stations in the eastern region is more significant, indicating that the eastern cities get more dividends in the construction of HSR. (3) The spillover effect of high-speed rail stations will be enhanced by the growth of urban scale, but there is no linear relationship between them, and the spillover effect of high-speed rail stations in mega-cities is the most significant. In addition, the distance to Beijing, Shanghai and Guangzhou is also an important factor affecting the effect. With the increase of distance, the spillover effect of high-speed rail stations becomes insignificant or even negative. The above conclusions show that the construction of new-HSR towns should take into account many factors such as local industrial economy, city size and location, number of airports or HSR stations in the same city.

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    The spatio-temporal effects of urban rail transit on housing price: A case study of Fuzhou Metro Line 1
    HUANG Chunchun, WANG Xiaowen, LI Linna
    2021, 40 (10):  2808-2822.  doi: 10.11821/dlyj020201073
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    With the vigorous construction of rail transit, subway houses have become an interesting theme all over the world. Exploring its spatio-temporal effects will help to predict the impact of new rail transit in the future and help the government to formulate reasonable housing price regulation and urban land use policy. Taking Fuzhou Metro Line 1 as an example, this paper discusses the spatio-temporal effects of urban rail transit on housing price within a 2-km distance from stations in the construction stage and operation stage, and uses hedonic price model, quantile regression and GIS spatial analysis techniques based on the ten-year long housing transaction data. In addition, macro factors are included in the time effect measurement of rail transit. The empirical results show that: (1) The housing price along the urban rail transit line is affected by various factors, such as location, neighborhood, architecture, etc. The urban rail transit imposes a statistically significant and positive effect on housing price along the line, and the medium and high price housing market is obviously affected by the urban rail transit. (2) In the spatial dimension, the housing price decreases with the increase of distance from the rail transit station. Usually, 1 km increase in the distance to the rail transit station will lead to a 5.1% increase in housing price. The impact of rail transit on housing price has significant submarket effect. The impact radius of the central urban area market is larger than that of the non-central urban area market, and the average spatial impact range is about 1.5 km. However, the impact intensity of the non-central urban area market is much higher than that of the central urban area market, and the housing price is most affected by rail transit within 400 m. (3) In terms of time dimension, the urban rail transit has a positive effect on the housing price along the line in different stages, and the housing prices in operation stage increases by 19.63% in average, significantly higher than that of the construction stage. Meanwhile, the effect of rail transit on housing price is far greater than that of regulatory policy and macroeconomic background.

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    The influence of neighborhood environmental perception and individual health on commuting mode choice: A case study of Nanjing city, China
    CAO Chen, ZHEN Feng, JIANG Yupei
    2021, 40 (10):  2823-2837.  doi: 10.11821/dlyj020201072
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    Commuting is an issue facing urban employees in their daily work. Compared to the macro-level urban built environment, the macro-level neighborhood environmental perception and individual health are more closely related to commuting mode choice. This paper takes eight typical communities with different traffic environments, leisure environments and socioeconomic statuses in the main urban area of Nanjing city as the research area, and uses the structural equation model to investigate the influence of neighborhood environmental perception and individual health on urban employees' commuting mode choice. Firstly, based on questionnaire survey data, according to the amount of physical activity consumed by the employees when they choose commuting modes during the commuting process, the commuting modes are divided into four categories: active commuting, public transportation commuting, electric vehicle/motorcycle commuting and car commuting. Secondly, the latent variables of neighborhood environmental perception are identified using factor analysis, and individual health is divided into three latent variables: physical health, mental health and health behavior. Finally, the theoretical framework of the structural equation model is constructed and an empirical analysis is conducted using the structural equation model. The results show that: (1) The perception of service facilities and environmental quality have significant direct effects on commuting mode choice, while traffic safety perception has significant indirect effect. (2) Mental health and health behavior in the individual health variables have significant direct effects on commuting mode choice. (3) Commuting distance and socioeconomic attributes have significant direct effects on commuting mode choice, while socioeconomic attributes have significant indirect effects, which come from the impact of socioeconomic attributes on commuting distance, neighborhood environmental perception and individual health. Based on the results of the study, it is proposed to effectively enhance the subjective perception of the neighborhood environment, and increase the willingness to participate in healthy behaviors and health awareness of the urban employees so as to choose a more healthy and environmentally friendly commuting mode.

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    Hu Huanyong Line based on geographical synthesis: Simulation and prediction under SSPs-RCPs scenario matrix
    XIA Haibin, LIU Min
    2021, 40 (10):  2838-2855.  doi: 10.11821/dlyj020200840
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    In this paper, a population potential model under the influence of environmental factors is constructed, and four sets of the crop model and water model driven by climate system models are combined to simulate the spatiotemporal evolution trend of China's population in the near (2030) and medium (2050) periods under SSPs-RCPs scenario matrix. It is found that under the SSPs scenario, the gap between population proportions on the east and west sides of Hu Huanyong Line (also known as Hu Line) in China will be further enlarged in the future, while under the scenario of SSP-RCPS, the population proportion gap on both sides of the Hu Line will be somewhat narrowed compared with the SSP scenario alone. The reason for the former is that the urbanization development on the east side of the Hu Line is much higher than that on the west side. Under the background of population urbanization in China, the population on the east side of the Hu Line increases. The latter is due to the favorable change of hydrothermal conditions on the west side of the Hu Line under the influence of climate change, which further improves the environmental carrying capacity of the population. The impact of social and economic development on change of population proportion on both sides of the Hu Line is far greater than the impact of climate change. This paper aims to explore the possibility of the breakthrough of the Hu Line from north, middle and south sections. We believe that the middle section will act as the breakthrough point because the region where Yellow River and other rivers flow through have rich water resources, which is favorable to the development of urbanization.

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    Research progress of returnee entrepreneurship and an analysis framework based on spatial embeddedness
    YIN Jiangbin, HUANG Xiaoyan, LI Shangqian
    2021, 40 (10):  2856-2870.  doi: 10.11821/dlyj020201059
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    Return migration has become a critical socio-economic phenomenon in China. As an important force to promote the new urbanization and rural revitalization, return migrants and their entrepreneurial activities have attracted wide attention. It is of great significance to study the spatial pattern and the process of returnee entrepreneurship, and the influencing mechanism of start-up and growth of returnee's enterprises to meet the major needs of the country and to develop the entrepreneurship research theory of geography. Based on a systematic review of research in related fields such as return migration, entrepreneurial decision-making and its driving mechanisms, the present paper found that existing research focuses on the role of individual differences in returnee entrepreneurship and the role of individual capital accumulation, such as savings and human capital, with less attention to spatial differences of entrepreneurship of return migrants, but the internal relationship between the spatial environment and returnee entrepreneurship has not been fully studied, and the research on the impact of the interaction between the spatial environment of different scales and return migrant individuals on entrepreneurship is relatively weak. Focusing on the spatial multiplicity of socio-economic relations and capital accumulation of return migrants, on the basis of the embeddedness theory, using the “multiscaled spatial embeddedness” analysis tool of geography, we established the research framework of the returnee entrepreneurship. Correspondingly, the future research can be conducted according to the research route of “pattern-process-mechanism-pattern”, aiming to examine the coupling relationship between the spatial pattern of returnee entrepreneurship and the entrepreneurial process, reveal the birth and growth mechanism of enterprises established by return migrants, explore the general characteristics and laws of returnee entrepreneurship in different scales and different types of space, so as to provide theoretical reference for entrepreneurship study and return migration study in geography under the new background of migration, and to provide scientific support for the construction of regional entrepreneurial support system.

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    Entrepreneurial location of returned migrant workers: A case study of 14 villages in Henan province
    GAO Genghe, DUAN Xiaowei, JI Huifeng, ZHU Jiguang
    2021, 40 (10):  2871-2884.  doi: 10.11821/dlyj020191130
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    The entrepreneurship of returned migrant workers is becoming an important force for rural revitalization. The choice of entrepreneurial location reflects the entrepreneurial spatial decision-making ability, which has an effect on entrepreneurial performance. The statistical and multinomial logistic analysis methods were used to explore the characteristics and influencing factors of returned migrant workers' entrepreneurship in terms of data from 14 villages of Henan province. The results show that: (1) the entrepreneurial location of returned migrant workers presents a village-centered and close-range distribution. Most entrepreneurs are situated within a distance of 50 km of the village-centered area. About half of returned migrant workers set up their business at the doorstep, mainly concentrated in 0.5 h to 1 h working circle. The entrepreneurial location is mainly selected in village or county, followed by town or nearby city. Entrepreneurial activity space of returned migrant workers has the law of distance attenuation. The mode of transportation and time determine the spatial scope of entrepreneurial activity to a certain extent. The study verifies the applicability of the activity space theory in the choice of entrepreneurial location of floating population in behavioral geography and traditional geography of the law of distance decay, and reveals the spatial law of return migrant workers' entrepreneurial behavior. (2) In addition to a small number of large-scale startups, most of them are micro enterprises and individual business. The output value of entrepreneurial enterprises is positively associated with the distance. Except for more agricultural projects in village locations, the industry differences among other types of entrepreneurial locations are not clear. (3) The choice of entrepreneurial location is based on the premise of obtaining economic profits, taking into account personal factors, employment factors, community factors and entrepreneurial factors. Among them, the academic qualifications, the village return ratio, and type of entrepreneurship projects in the secondary industry have a positive impact on the choice of non-village locations, while the migrant workers' age, the number of working places, skills of labor forces, plains and hills, types of entrepreneurial projects in the primary industry have a negative impact.

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    Spatio-temporal differentiation and influencing factors of China's marine environmental regulation efficiency
    WANG Zeyu, CHENG Fan
    2021, 40 (10):  2885-2896.  doi: 10.11821/dlyj020201124
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    The research on the efficiency of marine environmental regulation has important reference value for China's marine environmental governance. Based on the unexpected output SBM model to measure the efficiency of China's marine environmental regulation, the current study examines the spatio-temporal evolution of China's marine environmental regulation efficiency and its corresponding influencing factors from 2007 to 2017, combined with nuclear density, standard deviational ellipse model and generalized method of moments model. The findings show that: (1) The average value of China's marine environmental regulation efficiency during the study period showed a fluctuating downward trend, from relatively effective to relatively inefficient, and the efficiency difference between coastal provinces gradually expanded. (2) The position of the center of gravity of marine environmental regulation efficiency changes significantly in stages, moving to the southwest, and the marine environmental regulation efficiency of various coastal provinces have significant differences, which are divided into improving, stable and declining types. (3) In terms of influencing factors, industrial structure, opening-up, science and technology investment are positively correlated with the efficiency of China's marine environmental regulation, while economic development, market environment and China's marine environmental regulation efficiency are negatively correlated.

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    The spatial correlation and interaction between industrial agglomeration and pollution agglomeration of Lanzhou-Xining urban agglomeration in the Yellow River Basin
    JIA Zhuo, YANG Yongchun, ZHAO Jinyao, CHEN Xingpeng
    2021, 40 (10):  2897-2913.  doi: 10.11821/dlyj020201097
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    Urban agglomeration is the main carrier of ecological protection and high-quality development of the Yellow River Basin. Therefore, the analysis of the spatial relationship between industrial agglomeration and pollution agglomeration of the urban agglomeration has a practical significance to the coordinated development of industry and joint prevention and control of pollution. Based on the spatial statistical methods and spatial simultaneous equation model, this paper analyzes the interaction between industrial agglomeration and pollution agglomeration by using the data of 41 counties in the Lanzhou-Xining urban agglomeration in the Yellow River Basin from 2010 to 2017. The results show that the spatial patterns of industrial agglomeration and pollution agglomeration are unbalanced and "path-dependent". Industrial agglomeration and pollution agglomeration between counties are characterized by "shared weal and woe". Industrial agglomeration can accelerate pollution agglomeration, and pollution agglomeration in turn can intensify industrial agglomeration. Both industrial agglomeration and pollution agglomeration have spatial dependence. There is spatial interaction between industrial agglomeration and pollution agglomeration between adjacent counties. Population density and economy accelerate not only industrial agglomeration, but also pollution agglomeration; environmental regulation inhibits both industrial agglomeration and pollution agglomeration; government intervention, marketization rate and investment level accelerate industrial agglomeration; technological level inhibits pollution agglomeration, but industrial structure accelerates pollution agglomeration. It is concluded that the coordinated industrial development is the fundamental basis of joint prevention of pollution. It is an inevitable choice to construct a spatial synergy of industrial co-construction and pollution co-governance for the ecological protection and high-quality development of urban agglomeration in the Yellow River Basin.

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    Influence of the built environment on urban residential green consumption willingness in Zhengzhou, China
    ZHANG Jingfei, QIN Yaochen, ZHANG Lijun, WANG Kun, DUAN Jieran
    2021, 40 (10):  2914-2929.  doi: 10.11821/dlyj020200720
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    The research on residents' green consumption willingness provides a new perspective for urban sustainable development and lifestyle change. We need to further study the impact of built environment on green consumption willingness. If we ignore the interaction of built-up environment, we will underestimate the impact of urban planning and spatial regulation. Therefore, after obtaining the large-scale field survey data of Zhengzhou, we use EIO-LCA method, Delphi method and Likert scale method to measure residents' green consumption willingness. Then, we take the factors into account in the order of the socioeconomic attribute, attitude preferences, built environment and order logistic regression model to explore the impact of built environment. The results of the study are as follows. We found that the impact of built environment is different. The living infrastructure (population density, road network density and distance to the bus stop) have a positive impact on green consumption willingness, while leisure infrastructure (POI density, land use mixing degree and shopping accessibility) have a negative impact on it. After the interaction of built environment with socioeconomic attributes and attitude preferences, we find that the impact of leisure infrastructure and socio-economic attributes on green consumption willingness will be enhanced, while the impact of living infrastructure and attitude preferences on green consumption willingness will be stable. We find that the impact of built environment on green consumption willingness is “goal oriented” and “from far to near, and from outside to inside”. That is to say, on the one hand, the impact of the built environment on green consumption willingness will change with the purpose of consumption; on the other hand, residents will choose consumption patterns according to external infrastructure conditions. The above research results provide a scientific basis for the construction of low-carbon cities and the transformation of behavior patterns.

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    Can urban environmental legislation improve the enterprises export domestic value added ratio? Empirical research based on difference-in-differences (DID) model
    ZHANG Bingbing, HU Liuliu
    2021, 40 (10):  2930-2948.  doi: 10.11821/dlyj020210055
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    Urban environmental legislation is an important guarantee to promote the construction of ecological civilization, and it will also have a profound impact on the trade behavior of enterprises due to strengthened environmental regulations. Based on Chinese industrial enterprise database and customs database from 2000 to 2013, this paper takes urban environmental legislation as the natural experiment, and uses the difference-in-differences method to investigate the impact of environmental regulations on the enterprises export domestic value added ratio. The results show that: (1) Although urban environmental legislation in the sample period is not conducive to the improvement of enterprises export domestic value added ratio, but with the accumulation of legislative time effect, the “Porter effect” will gradually strengthen, and the negative impact of urban environmental legislation will continuously weaken. (2) The heterogeneity analysis shows that urban environmental legislation has a more significant negative impact on the domestic value added ratio with low innovation, low financing constraint, processing trade enterprises and “two control zone” enterprises. (3) The mechanism research shows that the “intermediate substitution effect” caused by urban environmental legislation can reduce the export domestic value added ratio, that is, urban environmental legislation increases the domestic production cost of enterprises to some extent, which leads to the decline of the types and quantity of domestic intermediate goods, and then the decline of the export domestic value added ratio. In addition, urban environmental legislation will improve the export domestic value added ratio through the “cost plus effect”, that is, urban environmental legislation will force enterprises to innovate and then increase the cost plus rate of enterprises, so that the export domestic value added ratio can be improved. However, the negative “intermediate substitution effect” is greater than the positive “cost plus effect”, so that the urban environmental legislation is not conducive to the improvement of export domestic value added ratio. Improving local environmental laws and regulations, improving the environmental governance capacity of local governments, and promoting technological innovation and green production of enterprises are effective ways to achieve high-quality economic development.

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