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Chenxi Li
School of Public Administration, Xi'an University of Architecture and Technology, Xi'an, China

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Epidemiology
Published: 29 July 2021 in PLOS ONE
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Heavy metal contamination in soil is an important factor affecting the determination of safe redevelopment methods for industrial and mining land. In this paper, the soil environment of a typical mining city in northern China was taken as the research object, 148 surface soil samples were collected and the contents of heavy metals were measured. The health risk classification criteria for heavy metal contamination of soils and the method of priority assessment for redevelopment were used. The results showed that: the risk of potential utilization types of heavy metals in the abandoned industrial and mining land is different. When the utilization type is agricultural land, the soil environmental quality is good as a whole, and a small number of plots are polluted by cadmium (Cd)and mercury (Hg); When the land use type is construction land, the risk of heavy metal pollution comes from chromium (Cr); The priority of development in this study area is as follows: agricultural land > construction land > ecological land.

ACS Style

Xing Gao; Junping Tian; Zheng Huo; Yanbin Wu; Chenxi Li. Evaluation of redevelopment priority of abandoned industrial and mining land based on heavy metal pollution. PLOS ONE 2021, 16, e0255509 .

AMA Style

Xing Gao, Junping Tian, Zheng Huo, Yanbin Wu, Chenxi Li. Evaluation of redevelopment priority of abandoned industrial and mining land based on heavy metal pollution. PLOS ONE. 2021; 16 (7):e0255509.

Chicago/Turabian Style

Xing Gao; Junping Tian; Zheng Huo; Yanbin Wu; Chenxi Li. 2021. "Evaluation of redevelopment priority of abandoned industrial and mining land based on heavy metal pollution." PLOS ONE 16, no. 7: e0255509.

Research article
Published: 17 February 2021 in Environmental Science and Pollution Research
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Simulating changes in the value of ecosystem services caused by land use changes in large cities under multiple scenarios is of great significance for cities to formulate land use policies and improve ecosystem services. Take Shijiazhuang, which is in the process of rapid urbanization, as an example. Based on the remote sensing image data and statistical yearbook of 1988, 1998, 2008, and 2018 as the basic data to analyze and estimate the 30 years of land use and ecosystem service value changes in Shijiazhuang. According to this, the CA-Markov model was used to simulate the land use change in Shijiazhuang under three scenarios in 2030 and estimate the value of ecosystem services under each scenario, using grid tools to visually express the spatial distribution of ecosystem service values and the degree of agglomeration under three scenarios. The results indicate that the most obvious feature of land use change in Shijiazhuang from 1988 to 2018 was that the farmland area decreased year by year, the built-up expanded rapidly, the farmland area decreased by 86,874.75 hm2 in 30 years, and the built-up increased by 154,711.90 hm2. In 1988, 1998, 2008, and 2018, the ecosystem service value of Shijiazhuang was 32.578 billion yuan, 32.799 billion yuan, 29.944 billion yuan, and 31.251 billion yuan respectively. In 2030, under three scenarios of natural development, farmland protection, and ecological protection, the value of ecosystem services is 331.111 billion yuan, 33.670 billion yuan, and 33.891 billion yuan in order. The hot spots are mainly concentrated in the northwest and southwest of Shijiazhuang, and cold spots are concentrated in the eastern cities, counties, and districts. Based on changes in land use brought about by urban expansion, simulating the value of ecosystem services under multiple scenarios in the future, providing scientific guidance for building urban ecological networks, and realizing sustainable urban ecological development.

ACS Style

Xing Gao; Jie Wang; Chenxi Li; Weining Shen; Zhaoying Song; Chengjing Nie; Xueru Zhang. Land use change simulation and spatial analysis of ecosystem service value in Shijiazhuang under multi-scenarios. Environmental Science and Pollution Research 2021, 28, 31043 -31058.

AMA Style

Xing Gao, Jie Wang, Chenxi Li, Weining Shen, Zhaoying Song, Chengjing Nie, Xueru Zhang. Land use change simulation and spatial analysis of ecosystem service value in Shijiazhuang under multi-scenarios. Environmental Science and Pollution Research. 2021; 28 (24):31043-31058.

Chicago/Turabian Style

Xing Gao; Jie Wang; Chenxi Li; Weining Shen; Zhaoying Song; Chengjing Nie; Xueru Zhang. 2021. "Land use change simulation and spatial analysis of ecosystem service value in Shijiazhuang under multi-scenarios." Environmental Science and Pollution Research 28, no. 24: 31043-31058.

Research article
Published: 22 December 2020 in PLOS ONE
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The migration of populations from rural to urban areas is a typical phenomenon of urbanization in developing countries. Based on Lacanian psychoanalysis theory, this study analyzes the decision-making mechanism of the willingness of rural populations settling in cities (RPSC), and analyzes the key factors that affect the willingness of RPSC by using the binary Logit regression method based on survey data in Changyi, China. The results show that the willingness of RPSC is a realistic choice under the joint action of the ‘mirrored’ incarnation and the ‘non-mirrored’ order. Among the factors, ‘age’, ‘ethnic groups’, ‘educational attainment’, and ‘social intercourse’, representing the ‘mirrored’ incarnation, and ‘communities’ safety gap’, ‘healthcare services policy’, ‘public housing policy’ and ‘employment insurance gap’, representing the ‘non-mirrored’ order, are significant in affecting the willingness of RPSC. These findings validate the adaptability of psychoanalysis to analyze the willingness of RPSC, and increases the understanding of individual willingness and behavioral choice in the context of a specific social background, which can provide decision-making reference for urban and rural planning and public policy makers.

ACS Style

Zhiheng Yang; Nengneng Shen; Chenxi Li. Key factors of the willingness of rural populations settling in cities (RPSC) from a Lacanian psychoanalysis theory perspective. PLOS ONE 2020, 15, e0243775 .

AMA Style

Zhiheng Yang, Nengneng Shen, Chenxi Li. Key factors of the willingness of rural populations settling in cities (RPSC) from a Lacanian psychoanalysis theory perspective. PLOS ONE. 2020; 15 (12):e0243775.

Chicago/Turabian Style

Zhiheng Yang; Nengneng Shen; Chenxi Li. 2020. "Key factors of the willingness of rural populations settling in cities (RPSC) from a Lacanian psychoanalysis theory perspective." PLOS ONE 15, no. 12: e0243775.

Research article
Published: 24 August 2020 in Complexity
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Rurality highlights the intrinsic differences between urban and rural communities. The comprehensive rurality evaluation index system is difficult to obtain indicators that reflect purely rural or urban characteristics; in addition, most of the data used in the evaluation index system come from statistical data, and the authenticity of the data cannot be guaranteed. Taking 25 towns in Lixia County and Shanghe County in Jinan city as the study area and using land use data and economic statistics data, the rurality evaluation system based on the land use transformation was constructed, the changes of the rurality index and intensity from 2009 to 2015 were calculated, and the driving factors of the rurality were analyzed. The results showed that, from 2009 to 2015, the rurality difference among towns in Lixia County decreased, the rurality difference among towns in Shanghe County increased, the rurality intensity of Lixia County was lower than that of Shanghe County, and the rurality index gap between the two counties was increasing. In 2009, the rurality grade of Lixia County was dominated by weak intensity (84.62%), and the rurality of the county changed greatly in 2015, with a large proportion (76.92%) still being weak intensity. In 2009, the proportion of relatively strong intensity was dominated (33.33%) in Shanghe County; in 2015, weak intensity accounted for a large proportion (41.67%). Changes of rurality intensity in Lixia County and Shanghe County were different. There was a significant correlation between the rurality index and geographical elevation, GDP, and the distance from the center of the town government, the road construction level, the urbanization level, and the education level. This paper can provide an empirical reference for rurality index research.

ACS Style

Zhiheng Yang; Chenxi Li. Spatial and Temporal Characteristics of Rurality in Urban Suburb Town and Its Driving Factors Based on Land Use Transformation. Complexity 2020, 2020, 1 -10.

AMA Style

Zhiheng Yang, Chenxi Li. Spatial and Temporal Characteristics of Rurality in Urban Suburb Town and Its Driving Factors Based on Land Use Transformation. Complexity. 2020; 2020 ():1-10.

Chicago/Turabian Style

Zhiheng Yang; Chenxi Li. 2020. "Spatial and Temporal Characteristics of Rurality in Urban Suburb Town and Its Driving Factors Based on Land Use Transformation." Complexity 2020, no. : 1-10.

Articles
Published: 14 May 2020 in The Social Science Journal
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Contemporary humanity is confronted with the development dilemma, especially in developing countries, of limited environmental capacity and increased pressure to protect the environment. Based on the concept of the Leading Functional Space Partition, this study identifies land-use conflicts in the urban fringes of ecologically fragile areas in Western China. The purpose is to explore the distribution characteristics of land-use conflicts in urban fringe areas and provide data references to solve a series of ecological and environmental problems inherent in the process of urbanisation. First, relevant software was applied to analyse the current situation of regional land use, and clustering was conducted in line with the goal of ‘production-living-ecology’ to form territorial space zoning with the same function. Then, three leading function evaluation systems were constructed with natural patches of land as the unit to evaluate the current suitability. According to the evaluation results and relevant planning, areas with land-use conflicts were identified, and their spatial characteristics were analysed on this basis. The results demonstrate that the incidence of land-use conflicts in urban fringe areas is high and the spatial distribution presents variability. In the case, the incidence of land-use conflicts in urban fringe areas is very high, with the highest concentration in areas 10–30 km away from urban built-up areas. And the proportion of ecological conflicts in urban fringe areas is the highest.

ACS Style

Shuo Yang; Shibin Dou; Chenxi Li. Land-use conflict identification in urban fringe areas using the theory of leading functional space partition. The Social Science Journal 2020, 1 -16.

AMA Style

Shuo Yang, Shibin Dou, Chenxi Li. Land-use conflict identification in urban fringe areas using the theory of leading functional space partition. The Social Science Journal. 2020; ():1-16.

Chicago/Turabian Style

Shuo Yang; Shibin Dou; Chenxi Li. 2020. "Land-use conflict identification in urban fringe areas using the theory of leading functional space partition." The Social Science Journal , no. : 1-16.

Journal article
Published: 01 January 2020 in Land
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More and more studies on land transfer prices have been carried out over time. However, the influencing factors of the industrial land transfer price from the perspective of spatial attributes have rarely been explored. Selecting 25 towns as the basic research unit, based on industrial land transfer data, this paper analyzes the influencing factors of the price distribution of industrial land in Dingzhou City, a rural land system reform pilot in China, by using a geographically weighted regression (GWR) model. Eight evaluation factors were selected from five aspects: economy, population, topography, landform, and resource endowment. The results showed that: (1) Compared with the traditional ordinary least squares (OLS) model, the GWR model revealed the spatial differentiation characteristics of the industrial land transfer price in depth. (2) Factors that have a negative correlation with the industrial land transfer price include the proportion of cultivated land area and distance to the city. Factors that have a positive correlation with the industrial land transfer price include the population growth rate, economic growth rate, population density, and number of hospitals per unit area. (3) The results of GWR model analysis showed that the impact of different factors on the various towns of different models had significant spatial differentiation characteristics. This paper will provide a reference for the sustainable use of industrial land in developing countries.

ACS Style

Zhiheng Yang; Chenxi Li; Yongheng Fang. Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China. Land 2020, 9, 7 .

AMA Style

Zhiheng Yang, Chenxi Li, Yongheng Fang. Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China. Land. 2020; 9 (1):7.

Chicago/Turabian Style

Zhiheng Yang; Chenxi Li; Yongheng Fang. 2020. "Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China." Land 9, no. 1: 7.

Article
Published: 10 December 2019 in Environmental Monitoring and Assessment
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Industrial parks, which are characterized as a group of industrial businesses designed to meet the concomitant demands of different organizations within an area, have played an important role in the national development strategies of many countries. Industrial parks have received increasingly more attention over time. Nevertheless, few scholars have visually analyzed global scientific data. This paper quantitatively and visually examines global academic research papers on industrial parks from 1987 to 2016 by using a bibliometric analysis. A total of 1823 papers from Science Citation Index Expanded and Social Sciences Citation Index databases were analyzed. The distributions of authorship, keywords, countries/territories, and institutes were generated. According to data from Science Citation Index Expanded and Social Sciences Citation Index databases, the top five most productive authors (i.e., Geng Y. with 22 articles, Fujita T. with 17, El-Halwagi M.M. with 15, Zhang Y. with 14, and Tan R.R. with 12) have contributed significantly to industrial park research. Papers on industrial park research have mainly been from China, the USA, and Taiwan. The dominant keywords from industrial park research from 1987 to 2016 are “China”, “system”, “heavy metal”, and “eco-industrial park”. These keywords will be the hot topics in industrial park research in the future. The research findings can provide a reference for understanding the research development process and trends in analyses in the field of industrial parks.

ACS Style

Chenxi Li; Jingyao Wu; Tao Zeng. Global industrial park research trends: a bibliometric analysis from 1987 to 2016. Environmental Monitoring and Assessment 2019, 192, 29 .

AMA Style

Chenxi Li, Jingyao Wu, Tao Zeng. Global industrial park research trends: a bibliometric analysis from 1987 to 2016. Environmental Monitoring and Assessment. 2019; 192 (1):29.

Chicago/Turabian Style

Chenxi Li; Jingyao Wu; Tao Zeng. 2019. "Global industrial park research trends: a bibliometric analysis from 1987 to 2016." Environmental Monitoring and Assessment 192, no. 1: 29.

Journal article
Published: 17 October 2019 in International Journal of Environmental Research and Public Health
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Scholars have paid much attention to the problems existing in the land expropriation risk assessment system and the sound countermeasures from a qualitative perspective. Empirical research on land expropriation social stability risk assessment from the micro-level perspective is limited. This study analyzed the Chinese social stability risk assessment system of land expropriation though a case study of a land expropriation project in China. The current social stability risk assessment system of land expropriation, which includes the assessment purposes, principles, contents, methods, and results, was analyzed. We concluded with lessons and deficiencies from the current social stability risk assessment system. The research findings show that: (1) the current land expropriation risk assessment system mostly takes the land administration department as the main body of responsibility, identifies the risks by means of seminars, visits, letters, and visits, and takes the opinion of the masses or experts as the risk assessment result. (2) The current land expropriation risk assessment system should be standardized in terms of defining the risk assessment of land expropriation, improving the land expropriation risk assessment system and optimizing land expropriation assessment procedures. This paper provides a reference for the sustainable development of land use in rural and urban areas in China.

ACS Style

Chenxi Li; Zenglei Xi. Social Stability Risk Assessment of Land Expropriation: Lessons from the Chinese Case. International Journal of Environmental Research and Public Health 2019, 16, 3952 .

AMA Style

Chenxi Li, Zenglei Xi. Social Stability Risk Assessment of Land Expropriation: Lessons from the Chinese Case. International Journal of Environmental Research and Public Health. 2019; 16 (20):3952.

Chicago/Turabian Style

Chenxi Li; Zenglei Xi. 2019. "Social Stability Risk Assessment of Land Expropriation: Lessons from the Chinese Case." International Journal of Environmental Research and Public Health 16, no. 20: 3952.

Article
Published: 05 June 2019 in Environmental Monitoring and Assessment
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As a main type of urban construction land, urban-industrial land is used to provide the judging criteria for construction land scale in the planning period when urban population, industrial development, investment scale, and other conditions are uncertain in China; however, research on expected indicator such as urban-industrial land in overall land use plan mainly focuses on qualitative analysis; quantitative analysis research has not yet been carried out. Using MATLAB R2016a software modeling tools to establish GM (1, 1) model and RBF neural network model, respectively, this paper predicted the demand of urban-industrial land in Beijing-Tianjin-Hebei Urban Agglomeration. Comparing the predicated results with the actual value of urban-industrial land in Beijing, Tianjin, and 11 prefecture-level cities in Hebei Province, we determined the reasonable prediction model for urban-industrial land after testing the accuracy of the two prediction models. The results showed that the RBF neural network model was the more reasonable prediction model for urban-industrial land. Using the predicted results of the RBF neural network model, combining expected indicators of overall land use plan (2006–2020) in Beijing and Tianjin, as well as 11 prefecture-level cities in Hebei Province in the planning target year, determined remaining usable time of urban-industrial land. Finally, combined with the actual scale of urban-industrial land in 2015 and the predicated scale of urban-industrial land in 2020, the remaining usable time of each city’s urban-industrial land was calculated in terms of the average annual growth rate of urban-industrial land from 2009 to 2015. According to the comparative relationship between the remaining usable time and the remaining time of the overall land use plan (5 years), urban-industrial lands were divided into three kinds of regulation zones: reasonable reduction zone, optimized adjustment zone, and core development zone. The policy implications for urban-industrial land in each regulation zone were also provided. This paper can provide reference for regulation zoning of urban-industrial land in developing countries and regions.

ACS Style

Chenxi Li; Xing Gao; Jingyao Wu; Kening Wu. Demand prediction and regulation zoning of urban-industrial land: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China. Environmental Monitoring and Assessment 2019, 191, 412 .

AMA Style

Chenxi Li, Xing Gao, Jingyao Wu, Kening Wu. Demand prediction and regulation zoning of urban-industrial land: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China. Environmental Monitoring and Assessment. 2019; 191 (7):412.

Chicago/Turabian Style

Chenxi Li; Xing Gao; Jingyao Wu; Kening Wu. 2019. "Demand prediction and regulation zoning of urban-industrial land: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China." Environmental Monitoring and Assessment 191, no. 7: 412.

Short research and discussion article
Published: 01 June 2019 in Environmental Science and Pollution Research
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Unapproved and illegal buildings have sprawled into the Northern Piedmont of the Qinling Mountains. The problem of illegal villas has aroused widespread public opinion and concern. The ecological environment of the Qinling Mountains has been seriously affected by the resurgence of illegal villas. This paper introduces the characteristics and distribution of illegal villas, analyzes the hazards caused by illegal villas, and describes control measures for illegal villas and land consolidation and ecological remediation in the Northern Piedmont of the Qinling Mountains. The results show that illegal planning and illegal development, as well as local governments' irregularities, including control, governance, punishment, demolition, and compensation for illegal buildings in the expropriation of premises, have caused the problem of illegal construction of villas in the Northern Piedmont of the Qinling Mountains. Control measures for illegal villas are demolition, land consolidation, and ecological remediation. Policy implications for protection of Qinling Mountains are provided.

ACS Style

Chenxi Li; Xing Gao; Zenglei Xi. Characteristics, hazards, and control of illegal villa (houses): evidence from the Northern Piedmont of Qinling Mountains, Shaanxi Province, China. Environmental Science and Pollution Research 2019, 26, 21059 -21064.

AMA Style

Chenxi Li, Xing Gao, Zenglei Xi. Characteristics, hazards, and control of illegal villa (houses): evidence from the Northern Piedmont of Qinling Mountains, Shaanxi Province, China. Environmental Science and Pollution Research. 2019; 26 (20):21059-21064.

Chicago/Turabian Style

Chenxi Li; Xing Gao; Zenglei Xi. 2019. "Characteristics, hazards, and control of illegal villa (houses): evidence from the Northern Piedmont of Qinling Mountains, Shaanxi Province, China." Environmental Science and Pollution Research 26, no. 20: 21059-21064.

Journal article
Published: 08 March 2019 in Sustainability
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The implementation of the Beijing, Tianjin, and Hebei coordinated development strategy has seriously increased the influence of land use and urban traffic. Thus, understanding the coordination between urban land and transportation systems is important for the efficient and sustainable development of cities, especially in this rapidly urbanizing era. Urban–industrial land and highway networks are, respectively, primary types of urban land and transportation systems, and have significant impacts on social and economic development. However, limited studies have been conducted to examine the relationships between urban–industrial land and highway networks. Therefore, this paper aims to examine the coupling coordination relationship between urban–industrial land use efficiency, and the accessibility of the highway networks of cities. Specifically, in the context of the Beijing–Tianjin–Hebei (BTH) urban agglomeration, the coupling coordination between urban-industrial land use efficiency and accessibility of the highway traffic network was empirically analyzed. The results show that: (i) The differences in urban-industrial land use efficiency in the BTH region are significant. Capital cities in the BTH urban agglomeration have higher economic, social, and comprehensive efficiency, while in industrial cities, the use of urban–industrial land should prioritize ecological and environmental issues. (ii) Because of its good geographical location Beijing has the best accessibility, with an accessibility index of 1.416, while Qinhuangdao had the lowest accessibility index of 0.039. (iii) In most BTH cities, the urban-industrial comprehensive land use level has fallen behind the highway network development level. The results of this study can provide references for the coordinated development of the BTH urban agglomeration.

ACS Style

Chenxi Li; Xing Gao; Bao-Jie He; Jingyao Wu; Kening Wu. Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China. Sustainability 2019, 11, 1446 .

AMA Style

Chenxi Li, Xing Gao, Bao-Jie He, Jingyao Wu, Kening Wu. Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China. Sustainability. 2019; 11 (5):1446.

Chicago/Turabian Style

Chenxi Li; Xing Gao; Bao-Jie He; Jingyao Wu; Kening Wu. 2019. "Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China." Sustainability 11, no. 5: 1446.

Journal article
Published: 06 March 2019 in Sustainability
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Cultural heritage tourism (CHT) has become an important part of the tourism industry. Therefore, it is essential to evaluate the sustainability of CHT destinations for tourism development. The majority of existing studies have examined the destination sustainability of ecotourism with the considerations of three stakeholder groups, namely, resource administration, tourist, and local community. However, the impact of tourism enterprises on destination sustainability has been constantly ignored in CHT-related studies. To fill these gaps, this study aims at developing an indicator system for comprehensively assessing the sustainability of CHT destinations. Specifically, this study identified an evaluation indicator system based on the Delphi technique and applied it to the context of Pingyao Ancient City in China. Results demonstrated that scores obtained by all four stakeholder groups ranged between 3.0 and 4.0 and the overall sustainability score was only 63.94, indicating that Pingyao was in the “somewhat sustainable” state according to the criteria (0−25, unsustainable; 25−50, somewhat unsustainable; 50−75, somewhat sustainable; 75−100, sustainable) specified in previous studies. A more balanced outcome should be achieved where each stakeholder’s interests are fully considered, but not at the expense of the others. The findings are of great significance for heritage tourism literature and sustainable destination management.

ACS Style

Lisheng Weng; Bao-Jie He; Lina Liu; Chenxi Li; Xin Zhang. Sustainability Assessment of Cultural Heritage Tourism: Case Study of Pingyao Ancient City in China. Sustainability 2019, 11, 1392 .

AMA Style

Lisheng Weng, Bao-Jie He, Lina Liu, Chenxi Li, Xin Zhang. Sustainability Assessment of Cultural Heritage Tourism: Case Study of Pingyao Ancient City in China. Sustainability. 2019; 11 (5):1392.

Chicago/Turabian Style

Lisheng Weng; Bao-Jie He; Lina Liu; Chenxi Li; Xin Zhang. 2019. "Sustainability Assessment of Cultural Heritage Tourism: Case Study of Pingyao Ancient City in China." Sustainability 11, no. 5: 1392.

Article
Published: 15 February 2019 in Environment, Development and Sustainability
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Industrial spatial agglomeration is the most prominent geographical feature of economic activities. This paper examined the current situation of manufacturing industry agglomeration in Hebei Province by using the industrial location quotient and exploratory spatial data analysis. The results showed that (1) the industrial location quotient of 11 cities’ 31 manufacturing industries in Hebei Province indicated that there was a significant difference among manufacturing industry agglomeration of the 11 cities in Hebei Province. (2) Global spatial autocorrelation of manufacturing industry agglomeration showed that TA (Manufacture of Textile, Apparel), T (Manufacture of Textile), PFM (Manufacture and Processing of Ferrous Metals), CF (Manufacture of Chemical Fibre), LFF (Manufacture of Leather, Fur, Feather and Its Products and Footwear), AAE (Manufacture of Articles for Culture, Arts and Crafts, Education, Sport Activities and Entertainment Goods) and RP (Manufacture of Rubber and Plastic) showed agglomeration characteristics. (3) According to the industrial location quotient and local spatial autocorrelation, the spatial cluster of manufacturing industry agglomeration in Hebei Province was divided into “Diffusion Centre”, “Primary Diffusion Centre”, “Polarization Centre” and “Less Developed Area”.

ACS Style

Chenxi Li; Kening Wu; Xiangyu Gao. Manufacturing industry agglomeration and spatial clustering: Evidence from Hebei Province, China. Environment, Development and Sustainability 2019, 22, 2941 -2965.

AMA Style

Chenxi Li, Kening Wu, Xiangyu Gao. Manufacturing industry agglomeration and spatial clustering: Evidence from Hebei Province, China. Environment, Development and Sustainability. 2019; 22 (4):2941-2965.

Chicago/Turabian Style

Chenxi Li; Kening Wu; Xiangyu Gao. 2019. "Manufacturing industry agglomeration and spatial clustering: Evidence from Hebei Province, China." Environment, Development and Sustainability 22, no. 4: 2941-2965.

Trend editorial
Published: 15 October 2017 in Environmental Science and Pollution Research
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As one of the bibliometric analysis tools, CiteSpace software was applied to quantitatively and visually evaluate global scientific documents of research on haze from 2000 to 2016. Five thousand six hundred six documents from the Science Citation Index Expanded (SCI-Expanded) and Social Science Citation Index (SSCI) of the Web of Science database were statistically analyzed and examined. The distributions on authorship, countries/territories, institutes, and keywords were generated. The amount of publications has increased nearly for the past 17 years. The most productive author was Li J. with 46 articles. The publications on haze research were primarily originated from the USA, China, Germany, and France. By synthetically analyzing the keywords, the dominant hot spots of haze research could be concluded as “aerosol,” “atmosphere,” “particle,” “PM2.5,”and “air quality.”

ACS Style

Chenxi Li; Kening Wu; Jingyao Wu. A bibliometric analysis of research on haze during 2000–2016. Environmental Science and Pollution Research 2017, 24, 24733 -24742.

AMA Style

Chenxi Li, Kening Wu, Jingyao Wu. A bibliometric analysis of research on haze during 2000–2016. Environmental Science and Pollution Research. 2017; 24 (32):24733-24742.

Chicago/Turabian Style

Chenxi Li; Kening Wu; Jingyao Wu. 2017. "A bibliometric analysis of research on haze during 2000–2016." Environmental Science and Pollution Research 24, no. 32: 24733-24742.

Original paper
Published: 28 July 2017 in Natural Hazards
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The reconstruction of hollowed villages comes into being an important measure for taking targeted measures in poverty alleviation in China. Many scholars studied hollowed villages from the geographical perspective. However, from the perspective of the village collective economic development, the quantitative analysis about the formation of hollowed villages was few. The present research analyzed the driving force of the hollowed villages’ formation process. Based on village collective economy development status survey data of Longde County, the Ningxia Hui Autonomous Region, China, we chose eight factors from the geographic, economic, resources, traffic, demographic and geological conditions by using the geographically weighted regression (GWR) model. Moreover, we drew driving force factors outlines of different figures’ spatial results by using ArcGIS 10.1. The results showed that: (1) GWR model can reveal much more profound spatial differential of driving force than that by the traditional OLS method; (2) driving factors of hollowed village’ rate were various among different administrative villages, showing an obvious spatial differential; (3) according to the main factors driving hollowed villages’ formation, we proposed differentiated strategies to control hollowing village problem in Longde County.

ACS Style

Chenxi Li; Kening Wu. Driving forces of the villages hollowing based on geographically weighted regression model: a case study of Longde County, the Ningxia Hui Autonomous Region, China. Natural Hazards 2017, 89, 1059 -1079.

AMA Style

Chenxi Li, Kening Wu. Driving forces of the villages hollowing based on geographically weighted regression model: a case study of Longde County, the Ningxia Hui Autonomous Region, China. Natural Hazards. 2017; 89 (3):1059-1079.

Chicago/Turabian Style

Chenxi Li; Kening Wu. 2017. "Driving forces of the villages hollowing based on geographically weighted regression model: a case study of Longde County, the Ningxia Hui Autonomous Region, China." Natural Hazards 89, no. 3: 1059-1079.

Short communication
Published: 08 May 2017 in Natural Hazards
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This paper expounds facts related to the Huangpu River dead pigs incident on March 20, 2013, in Shanghai, China. The causes of the incident were discussed. The suggestions for solving such kind of environmental hazard were provided.

ACS Style

Chenxi Li; Kening Wu; Jingyao Wu. Environmental hazard in Shanghai, China: lessons learned from Huangpu River dead pigs incident. Natural Hazards 2017, 88, 1269 -1272.

AMA Style

Chenxi Li, Kening Wu, Jingyao Wu. Environmental hazard in Shanghai, China: lessons learned from Huangpu River dead pigs incident. Natural Hazards. 2017; 88 (2):1269-1272.

Chicago/Turabian Style

Chenxi Li; Kening Wu; Jingyao Wu. 2017. "Environmental hazard in Shanghai, China: lessons learned from Huangpu River dead pigs incident." Natural Hazards 88, no. 2: 1269-1272.