This page has only limited features, please log in for full access.

Unclaimed
Chenyu Lu
College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 09 August 2021 in Sustainability
Reads 0
Downloads 0

As the product of natural process, land is an essential but nonrenewable resource for humankind. Urban land use efficiency directly reflects the coupling between urban systems and land use systems. It also serves as the key indicator for measuring land productivity and regional development quality. In this study, the land use efficiency of 65 county-level cities in the Yellow River Basin has been measured by applying the Data Envelope Analysis (DEA) and Spatial Autocorrelation Analysis methods. It makes up for the deficiency and defect of the existing research. The result indicates that in 2000~2018, the overall urban land use efficiency in 65 prefecture-level cities is unbalanced, with significant gaps between cities with high efficiency and low efficiency. In 2000~2018, the average urban land use efficiency in these 65 cities shows a tendency of declining. In 2000~2018, the spatial distribution of land use efficiency of these 65 cities indicates significant positive correlation, featured by the clustering of regions with high (low) efficiency. In terms of the spatial distribution of urban land use efficiency in the Yellow River Basin, it is marked by apparent spatial clustering. Specifically, from east to west, from coastal areas to inland regions, from downstream to upstream, the urban land use efficiency differs from high value areas to low value areas. On the whole, it is featured by high value in the east and low value in the west, while declining from downstream to upstream.

ACS Style

Hengji Li; Jiansheng Qu; Dai Wang; Peng Meng; Chenyu Lu; Jingjing Zeng. Spatial-Temporal Integrated Measurement of the Efficiency of Urban Land Use in Yellow River Basin. Sustainability 2021, 13, 8902 .

AMA Style

Hengji Li, Jiansheng Qu, Dai Wang, Peng Meng, Chenyu Lu, Jingjing Zeng. Spatial-Temporal Integrated Measurement of the Efficiency of Urban Land Use in Yellow River Basin. Sustainability. 2021; 13 (16):8902.

Chicago/Turabian Style

Hengji Li; Jiansheng Qu; Dai Wang; Peng Meng; Chenyu Lu; Jingjing Zeng. 2021. "Spatial-Temporal Integrated Measurement of the Efficiency of Urban Land Use in Yellow River Basin." Sustainability 13, no. 16: 8902.

Journal article
Published: 21 May 2021 in Sustainability
Reads 0
Downloads 0

Tourism efficiency is an effective index of measuring the development quality of the tourism industry. In this study, the tourism efficiency of 30 provinces in China during the period from 2006 to 2018 was measured with the SBM model and Malmquist index. On the basis of ESDA and GWR models, we explored the spatial pattern of China’s tourism efficiency and the spatial heterogeneity of the influencing factors in depth. The results revealed that China’s tourism efficiency has been constantly enhanced with an increasingly balanced pattern. Meanwhile, the utilization degrees of various input factors have constantly been improving. Both technological efficiency and technological progress jointly promote rapid growth of total-factor productivity. Accompanied with constant enhancement of the spatial agglomeration effect, the local spatial pattern also showed obvious differentiation. In general, low-efficiency regions were mainly concentrated in northern China, while high-efficiency regions were concentrated in southern China. The distinct spatial–temporal differentiation characteristics of tourist economic efficiency can be attributed to different influencing strengths of various factors in various regions and different action tendencies. The level of economic development, traffic conditions, the professional level of tourism, and openness degree can significantly promote tourism efficiency. Tourism resource endowment and environmental cost impose slight effects and differ in action direction, thereby inhibiting the tourism efficiency of many regions.

ACS Style

Zhiliang Liu; Chengpeng Lu; Jinhuang Mao; Dongqi Sun; Hengji Li; Chenyu Lu. Spatial–Temporal Heterogeneity and the Related Influencing Factors of Tourism Efficiency in China. Sustainability 2021, 13, 5825 .

AMA Style

Zhiliang Liu, Chengpeng Lu, Jinhuang Mao, Dongqi Sun, Hengji Li, Chenyu Lu. Spatial–Temporal Heterogeneity and the Related Influencing Factors of Tourism Efficiency in China. Sustainability. 2021; 13 (11):5825.

Chicago/Turabian Style

Zhiliang Liu; Chengpeng Lu; Jinhuang Mao; Dongqi Sun; Hengji Li; Chenyu Lu. 2021. "Spatial–Temporal Heterogeneity and the Related Influencing Factors of Tourism Efficiency in China." Sustainability 13, no. 11: 5825.

Journal article
Published: 16 February 2021 in Applied Sciences
Reads 0
Downloads 0

Driven by economic development, the dramatic increase in carbon emissions has led to global warming and a series of environmental problems. The question of how to ensure harmonized coordination between economic development, carbon emissions and environmental protection has become increasingly important. The conflicts between the use of energy and emission reductions in China have become more intense. It is an inevitable requirement for China’s sustainable development to promote a low-carbon circular economy and the simultaneous and coordinated development of carbon emissions, the economy and the environment. The present study took 30 provinces (municipalities and autonomous regions directly under the Central Government) as the research objects (Tibet, Hong Kong, Macau, and Taiwan are not included in the study due to the lack of relevant data), and applied quantitative analysis methods, such as three-stage data envelopment analysis (DEA) models, coupling coordination degree models and spatial analysis models, to construct a measurement index system. On the basis of the measurement of its carbon emission efficiency, the level of China’s coordination degree in regard to carbon emissions, economic development, and environmental protection at both spatial and temporal dimensions was analyzed comprehensively in order to reveal its temporal and spatial characteristics. The conclusions are as follows: (1) China’s overall carbon emission efficiency displayed a gradual upward trend, although the overall level was not that high. Therefore, there is still much scope for further improvement. (2) The level of China’s coordination degree in regard to carbon emissions, economic development, and environmental protection showed a steady yet rising trend. All provinces reached different levels of coordination development, and there was no province that displayed a disorderly declining trend. However, the number of provinces that reached or went beyond the intermediate level of coordination development was quite limited. (3) The level of China’s coordination degree in regard to carbon emissions, economic development, and environmental protection displayed obvious spatial aggregation patterns at the provincial level, showing an apparent spatial dependence and heterogeneity. Over time, the level of spatial aggregation patterns in regard to coordination degree tended to weaken. Overall, the values were high in the eastern region and low in the western region, decreasing from the eastern coastal zone towards the western inland zone, thus demonstrating a contrasting east-west spatial distribution pattern.

ACS Style

Chenyu Lu; Dai Wang; Hengji Li; Wei Cheng; Xianglong Tang; Wei Liu. Measurement of the Degree of Coordination in Regard to Carbon Emissions, Economic Development, and Environmental Protection in China. Applied Sciences 2021, 11, 1750 .

AMA Style

Chenyu Lu, Dai Wang, Hengji Li, Wei Cheng, Xianglong Tang, Wei Liu. Measurement of the Degree of Coordination in Regard to Carbon Emissions, Economic Development, and Environmental Protection in China. Applied Sciences. 2021; 11 (4):1750.

Chicago/Turabian Style

Chenyu Lu; Dai Wang; Hengji Li; Wei Cheng; Xianglong Tang; Wei Liu. 2021. "Measurement of the Degree of Coordination in Regard to Carbon Emissions, Economic Development, and Environmental Protection in China." Applied Sciences 11, no. 4: 1750.

Journal article
Published: 16 October 2020 in International Journal of Environmental Research and Public Health
Reads 0
Downloads 0

The study of the carbon emission intensity of agricultural production is of great significance for the formulation of a rational agricultural carbon reduction policy. This paper examines the regional differences, spatial–temporal pattern and dynamic evolution of the carbon emission intensity of agriculture production from 1991 to 2018 through the Theil index and spatial data analysis. The results are shown as follows: The overall differences in carbon emission intensity of agriculture production presents a slightly enlarging trend, while the inter-regional differences in carbon emissions intensity is decreasing, but the intra-regional difference of carbon emissions intensity presented an expanding trend. The difference in carbon emission intensity between the eastern and central regions is not obvious, and the difference in carbon emission intensity in the western region shows a fluctuating and increasing trend. The overall differences caused by intra-regional differences; the average annual contribution of intra-regional differences is 67.84%, of which the average annual contribution of western region differences is 64.24%. The carbon emission intensity of agricultural production in China shows a downward trend, with provinces with high carbon emission intensity remaining stable, while provinces with low intensity are expanding. The Global Moran’s I index indicates that China’s carbon emission intensity of agricultural production shows a clear trend of spatial aggregation. The agglomeration trend of high agricultural carbon emission remains stable, and the overall pattern of agricultural carbon emission intensity shows a pattern of increasing differentiation from east to west.

ACS Style

Jiaxing Pang; Hengji Li; Chengpeng Lu; Chenyu Lu; Xingpeng Chen. Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China. International Journal of Environmental Research and Public Health 2020, 17, 7541 .

AMA Style

Jiaxing Pang, Hengji Li, Chengpeng Lu, Chenyu Lu, Xingpeng Chen. Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China. International Journal of Environmental Research and Public Health. 2020; 17 (20):7541.

Chicago/Turabian Style

Jiaxing Pang; Hengji Li; Chengpeng Lu; Chenyu Lu; Xingpeng Chen. 2020. "Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China." International Journal of Environmental Research and Public Health 17, no. 20: 7541.

Journal article
Published: 18 September 2020 in Mathematics
Reads 0
Downloads 0

Since the 1990s, the notion of a circular economy has been developing globally; countries all over the world have been considering the development of a circular economy as an important means of achieving sustainable development. As the development of an industrial circular economy can help promote the efficient recycling of resources, it is an important starting point for industrial transformation and upgrading, and represents a key factor that will lead to the development of a circular economy in China. China’s varying provinces (municipalities and autonomous regions) have successively implemented circular economy practices in the industrial field. The research object of the present study is 30 provinces, autonomous regions, and municipalities directly under the control of central government (Hong Kong, Macao, Taiwan, and Tibet were not included owing to lack of data). Through the integration of geographic information systems (GIS) technology and the spatial analysis model, data envelopment analysis (DEA) model, and Tobit regression model, a measure model and index system are constructed, in order to carry out a multi-angle comprehensive study integrating the efficiency evaluation, spatial analysis, and influencing factors analysis of China’s industrial circular economy. It is an important innovation, and an important contribution to the existing research system. The conclusions are as follows: (1) In general, the overall level of China’s industrial circular economy’s efficiency was not high, and there was still a lot of room for improvement. The integrated efficiency of the industrial circular economy in the eastern region was relatively high, followed by that in the western region, and the lowest level in the middle region. (2) The efficiency of China’s industrial circular economy displayed obvious spatial aggregation characteristics at the provincial level, including clear spatial dependence and spatial heterogeneity. High-value aggregation areas were mainly distributed in the eastern coastal areas, and low-value aggregation areas were concentrated and contiguously distributed in the middle and western inland areas. (3) The four elements of economic level, openness to the outside, government regulation, and industrialization aggregation each impose a significant positive impact on the efficiency of China’s industrial circular economy, which can promote its efficiency. The level of industrialization exerts a significant negative impact on the efficiency of the industrial circular economy, which hampers its improvement. The impact of technological innovation on the efficiency of the industrial circular economy is not statistically significant.

ACS Style

Chenyu Lu; Yang Zhang; Hengji Li; Zilong Zhang; Wei Cheng; Shulei Jin; Wei Liu. An Integrated Measurement of the Efficiency of China’s Industrial Circular Economy and Associated Influencing Factors. Mathematics 2020, 8, 1610 .

AMA Style

Chenyu Lu, Yang Zhang, Hengji Li, Zilong Zhang, Wei Cheng, Shulei Jin, Wei Liu. An Integrated Measurement of the Efficiency of China’s Industrial Circular Economy and Associated Influencing Factors. Mathematics. 2020; 8 (9):1610.

Chicago/Turabian Style

Chenyu Lu; Yang Zhang; Hengji Li; Zilong Zhang; Wei Cheng; Shulei Jin; Wei Liu. 2020. "An Integrated Measurement of the Efficiency of China’s Industrial Circular Economy and Associated Influencing Factors." Mathematics 8, no. 9: 1610.

Journal article
Published: 25 July 2020 in Healthcare
Reads 0
Downloads 0

Health is the basis of a good life and a guarantee of a high quality of life. Furthermore, it is a symbol of social development and progress. How to further improve the health levels of citizens and reduce regional differences in citizens’ health status has become a research topic of great interest that is attracting attention globally. This study takes 31 provinces (municipalities and autonomous regions) of China as the research object. Through using GIS (Geographic Information System) technology, the entropy method, spatial autocorrelation, stepwise regression, and other quantitative analysis methods, measurement models and index systems are developed in order to perform an analysis of the spatio-temporal comprehensive measurements of Chinese citizens’ health levels. Furthermore, the associated influencing factors are analyzed. It has important theoretical and practical significance. The conclusions are as follows: (1) Between 2002 and 2018, the overall health levels of Chinese citizens have generally exhibited an upward trend. Moreover, for most provinces, the health levels of their citizens have improved dramatically, although some provinces, such as Tianjin and Henan, showed a fluctuating downward trend, suggesting that the health levels of citizens in these regions displayed a tendency to deteriorate. (2) The health levels of citizens from China’s various provinces showed clear spatial distribution characteristics of clustering, as well as an obvious spatial dependence and spatial heterogeneity. As time goes by, the degree of spatial clustering with regard to citizens’ health levels tends to weaken. The health levels of Chinese citizens have developed a certain temporal stability, the overall health status of Chinese citizens shows a spatial differentiation of a northeast–southwest distribution pattern. (3) The average years of education and urbanization rate have a significant positive effect on the improvement of citizens’ health levels. The increase of average years of education and urbanization rate can promote the per capita income, which certainly could help improve citizens’ health status. The Engel coefficient, urban–rural income ratio, and amount of wastewater discharge all pose a significant negative effect on the improvement of citizens’ health levels, these three factors have played important roles in hindering the improvements of citizen health.

ACS Style

Chenyu Lu; Shulei Jin; Xianglong Tang; Chengpeng Lu; Hengji Li; Jiaxing Pang. Spatio-Temporal Comprehensive Measurements of Chinese Citizens’ Health Levels and Associated Influencing Factors. Healthcare 2020, 8, 231 .

AMA Style

Chenyu Lu, Shulei Jin, Xianglong Tang, Chengpeng Lu, Hengji Li, Jiaxing Pang. Spatio-Temporal Comprehensive Measurements of Chinese Citizens’ Health Levels and Associated Influencing Factors. Healthcare. 2020; 8 (3):231.

Chicago/Turabian Style

Chenyu Lu; Shulei Jin; Xianglong Tang; Chengpeng Lu; Hengji Li; Jiaxing Pang. 2020. "Spatio-Temporal Comprehensive Measurements of Chinese Citizens’ Health Levels and Associated Influencing Factors." Healthcare 8, no. 3: 231.

Journal article
Published: 01 February 2020 in ISPRS International Journal of Geo-Information
Reads 0
Downloads 0

The study of urban spatial structure is currently one of the most popular research fields in urban geography. This study uses Lanzhou, one of the major cities in Northwest China, as a case area. Using the industry classification of POI data, the nearest-neighbor index, kernel density estimation, and location entropy are adopted to analyze the spatial clustering-discrete distribution characteristics of the overall economic geographical elements of the city center, the spatial distribution characteristics of the various industry elements, and the overall spatial structure characteristics of the city. All of these can provide a scientific reference for the sustainable optimization of urban space. The urban economic geographical elements generally present the distribution trend of center agglomeration. In respect of spatial distribution, the economic geographical elements in the central urban area of Lanzhou have obvious characteristics of central agglomeration. Many industrial elements have large-scale agglomeration centers, which have formed specialized functional areas. There is a clear “central–peripheral” difference distribution in space, with an obvious circular structure. Generally, tertiary industry is distributed in the central area, and secondary industry is distributed in the peripheral areas. In general, a strip-shaped urban spatial structure with a strong main center, weak subcenter and multiple groups is present. Improving the complexity of urban functional space is an important goal of spatial structure optimization.

ACS Style

Chenyu Lu; Min Pang; Yang Zhang; Hengji Li; Chengpeng Lu; Xianglong Tang; Wei Cheng. Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China. ISPRS International Journal of Geo-Information 2020, 9, 92 .

AMA Style

Chenyu Lu, Min Pang, Yang Zhang, Hengji Li, Chengpeng Lu, Xianglong Tang, Wei Cheng. Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China. ISPRS International Journal of Geo-Information. 2020; 9 (2):92.

Chicago/Turabian Style

Chenyu Lu; Min Pang; Yang Zhang; Hengji Li; Chengpeng Lu; Xianglong Tang; Wei Cheng. 2020. "Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China." ISPRS International Journal of Geo-Information 9, no. 2: 92.

Journal article
Published: 02 September 2019 in Applied Sciences
Reads 0
Downloads 0

The recycling of restaurant food waste can bring environmental benefits and improve food safety for urban residents. We here assessed the entire life cycle of the anaerobic digestion–aerobic composting technique of restaurant food waste recycling using Lanzhou as a case study. We used the CML2001 method provided with the Gabi software and compared the results to those produced using the traditional treatment techniques (landfill and incineration). This work includes a sensitivity analysis of the results. It is here concluded that the anaerobic digestion–aerobic composting technique had the smallest environmental impact of the methods here examined. The life cycle of anaerobic digestion–aerobic composting primarily consumes water, clay, coal, crude oil, and natural gas. The pre-processing phase consumes the most resources, and anaerobic digestion showed the greatest environmental impact. Specific environmental impacts in order from the highest to lowest potential to exacerbate global warming were found to be photochemical ozone production, acidification, eutrophication, marine aquatic ecotoxicity, human toxicity, freshwater aquatic ecotoxicity, and terrestrial ecotoxicity. The main factors associated with different environmental impacts and the environmental impacts themselves were found to differ across different phases. Some environmental impacts were shown to be sensitive to electricity, and the eutrophication potential and photochemical ozone creation potential showed the least sensitivity to all variables. To reduce the environmental impact of the anaerobic digestion–aerobic composting treatment technique, the energy structure and consumption of electricity, water, and diesel need to be optimized.

ACS Style

Zilong Zhang; Wenyan Han; Xingpeng Chen; Na Yang; Chenyu Lu; Yueju Wang; Han; Chen; Yang; Lu; Wang. The Life-Cycle Environmental Impact of Recycling of Restaurant Food Waste in Lanzhou, China. Applied Sciences 2019, 9, 3608 .

AMA Style

Zilong Zhang, Wenyan Han, Xingpeng Chen, Na Yang, Chenyu Lu, Yueju Wang, Han, Chen, Yang, Lu, Wang. The Life-Cycle Environmental Impact of Recycling of Restaurant Food Waste in Lanzhou, China. Applied Sciences. 2019; 9 (17):3608.

Chicago/Turabian Style

Zilong Zhang; Wenyan Han; Xingpeng Chen; Na Yang; Chenyu Lu; Yueju Wang; Han; Chen; Yang; Lu; Wang. 2019. "The Life-Cycle Environmental Impact of Recycling of Restaurant Food Waste in Lanzhou, China." Applied Sciences 9, no. 17: 3608.

Journal article
Published: 29 August 2019 in Sustainability
Reads 0
Downloads 0

Cross-city convergence in green space coverage could contribute to our understanding of the law of motion of distribution dynamics of environmental sustainability across cities and provide crucial information for designing policies regarding complex processes relating to human–environment interactions in an urban system. The relationship between socioeconomic factors and green space coverage has been widely discussed, but research on the distribution dynamics of green space coverage across cities is limited. This paper explored the pattern of convergence in green space coverage of a group of 285 Chinese cities over the period of 2002–2012 by using hybrid approaches, including the nonparametric estimation technique, unconditional β-convergence model, and conditional β-convergence model. The results indicated that the green space coverage level in most cities has been substantially improved; the spatial disparity across Chinese cities has shrunk, and the level of green space coverage has converged to 104% of the average level. The β-convergence estimation results demonstrate the existence of unconditional and conditional convergence in green space coverage among Chinese cities, which indicates that cities with a low initial level of green space coverage grow faster than those with an initial high level. Faster sprawling, more compact and wealthier cities are likely to converge to a higher level of green space coverage. Expansion of the population and spatial scale of cities contributes to increasing green space coverage, sprawling of built-up area leads to a decrease of the green space coverage, and economic growth has little impact on green space coverage.

ACS Style

Yueju Wang; Xingpeng Chen; Zilong Zhang; Bing Xue; Chenyu Lu. Cross-City Convergence in Urban Green Space Coverage in China. Sustainability 2019, 11, 4707 .

AMA Style

Yueju Wang, Xingpeng Chen, Zilong Zhang, Bing Xue, Chenyu Lu. Cross-City Convergence in Urban Green Space Coverage in China. Sustainability. 2019; 11 (17):4707.

Chicago/Turabian Style

Yueju Wang; Xingpeng Chen; Zilong Zhang; Bing Xue; Chenyu Lu. 2019. "Cross-City Convergence in Urban Green Space Coverage in China." Sustainability 11, no. 17: 4707.

Journal article
Published: 21 May 2019 in Sustainability
Reads 0
Downloads 0

The issue of how to realize the coordinated development of various elements in human–land systems, or, in other words, how to achieve the coordinated development of population-economy-society-resource-environment (PESRE) systems, has become an important topic, which has received global attention. This study takes 31 provinces in China as the research objects, and carries out the research on the spatial–temporal synthetic measurement of the coordinated development of PESRE systems. The conclusions are as follows. From 1995 to 2015, the process of change of coupling coordination degree of China’s PESRE systems can be divided into two types: Rising first and then declining, and fluctuant continuously. The number of provinces of the first type was higher, and most provinces were on the verge of uncoordinated development status or in a weakly coordinated development status. The coupling degree of PESRE systems at the provincial level in China generally shows some positive spatial correlations, and the level of coordinated development displays some obvious spatial aggregation patterns. Moreover, the degree of such aggregation first increases and then weakens. The eastern parts of China represent the main “high-high” type aggregation regions. The central and western parts of China represent the main “low-low” types, account for the largest proportion, and display obvious aggregation characteristics.

ACS Style

Chenyu Lu; Jiaqi Yang; Hengji Li; Shulei Jin; Min Pang; Chengpeng Lu. Research on the Spatial–Temporal Synthetic Measurement of the Coordinated Development of Population-Economy-Society-Resource-Environment (PESRE) Systems in China Based on Geographic Information Systems (GIS). Sustainability 2019, 11, 2877 .

AMA Style

Chenyu Lu, Jiaqi Yang, Hengji Li, Shulei Jin, Min Pang, Chengpeng Lu. Research on the Spatial–Temporal Synthetic Measurement of the Coordinated Development of Population-Economy-Society-Resource-Environment (PESRE) Systems in China Based on Geographic Information Systems (GIS). Sustainability. 2019; 11 (10):2877.

Chicago/Turabian Style

Chenyu Lu; Jiaqi Yang; Hengji Li; Shulei Jin; Min Pang; Chengpeng Lu. 2019. "Research on the Spatial–Temporal Synthetic Measurement of the Coordinated Development of Population-Economy-Society-Resource-Environment (PESRE) Systems in China Based on Geographic Information Systems (GIS)." Sustainability 11, no. 10: 2877.

Journal article
Published: 23 January 2019 in Sustainability
Reads 0
Downloads 0

The improvement of energy consumption efficiency represents a significant task and a critical step toward sustainable energy transformations. This study uses a data envelopment analysis (DEA) and spatial autocorrelation method to conduct comprehensive measurement and assessment research on the economic-environmental efficiency of energy consumption in 31 Chinese provinces. It then carries out a synthetic study on energy consumption efficiency in the context of temporal and spatial dimensions, analyzes the characteristics and patterns related to temporal and spatial evolution, and systematically summarizes the temporal and spatial evolution processes associated with China’s economic-environmental efficiency in energy consumption. The results show that economic efficiency and environmental efficiency, both directly related to energy consumption, are positively correlated and display a parallel and synchronizing relationship. China’s energy consumption efficiency displays an upward trend in general, although differences exist between economic efficiency and environmental efficiency about the growth rate and overall development level. In other words, economic efficiency is generally higher than environmental efficiency. A positive spatial correlation occurs between economic and environmental efficiency in energy consumption across all the Chinese provinces studied. Furthermore, some cluster characteristic can be identified. Accurately, the eastern coastal area of China with a higher efficiency represents a spatial cluster of high values, whereas the midwestern inland area of China with a lower efficiency represents a spatial cluster of low values. Therefore, a descending pattern is displayed from the east to the west. As time goes by, the extent of clustering could become more prominent, accompanied by an increasing spatial cluster of high values and a decreasing spatial cluster of low values. Accordingly, China needs to improve its energy consumption efficiency further and promote sustainable energy transformations.

ACS Style

Chenyu Lu; Peng Meng; Xueyan Zhao; Lu Jiang; Zilong Zhang; Bing Xue. Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China. Sustainability 2019, 11, 591 .

AMA Style

Chenyu Lu, Peng Meng, Xueyan Zhao, Lu Jiang, Zilong Zhang, Bing Xue. Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China. Sustainability. 2019; 11 (3):591.

Chicago/Turabian Style

Chenyu Lu; Peng Meng; Xueyan Zhao; Lu Jiang; Zilong Zhang; Bing Xue. 2019. "Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China." Sustainability 11, no. 3: 591.

Journal article
Published: 24 December 2018 in Sustainability
Reads 0
Downloads 0

For a specific small-scale region with abundant resources, its copious resources tend to dictate the basic direction of its development, and may subsequently give rise to an industrial structure centered on the advantageous resources. This can give rise to an economic structure that lacks diversity, causing the economic development in the entire local region to fall into the dilemma of the resource curse. The present study conducts a case study from the perspective of small-scale regions, incorporating various types of resource-dependent cities in China, including Qingyang, Jinchang, and Baiyin, to interpret and analyze the resource curse effect by calculating a resource curse coefficient. Moreover, based on the regression model, the present study further discusses the empirical relations associated with the resource curse phenomenon. The results show that, regardless of whether a resource-dependent city is in the early, intermediate or late stage of its resource development, economic development is always plagued by the resource curse effect to a certain degree. Resource development cannot promote economic development, rather, it inhibits economic growth to some extent, resulting in an array of effects that are unfavorable to economic development, rendering the development unsustainable. For different types of resource-dependent cities, resource curse effect exhibits distinct characteristics. The resource curse effect is strongest for a resource-dependent city during an economic recession, is less severe during a development period, and is weakest during maturation. Resource development not only has a direct adverse impact on economic growth, but also often affects economic growth in multiple ways and on various levels through the Dutch disease effect, the crowding out effect, and the institution weakening effect. Until now, most results show that there is no obvious resource curse effect at the national and provincial level. The verification results of small-scale regions show that the resource curse effect at the city level still exists. In addition, the resource curse effect differs across different types of resource-dependent cities.

ACS Style

Chenyu Lu; Dai Wang; Peng Meng; Jiaqi Yang; Min Pang; Li Wang. Research on Resource Curse Effect of Resource-Dependent Cities: Case Study of Qingyang, Jinchang and Baiyin in China. Sustainability 2018, 11, 91 .

AMA Style

Chenyu Lu, Dai Wang, Peng Meng, Jiaqi Yang, Min Pang, Li Wang. Research on Resource Curse Effect of Resource-Dependent Cities: Case Study of Qingyang, Jinchang and Baiyin in China. Sustainability. 2018; 11 (1):91.

Chicago/Turabian Style

Chenyu Lu; Dai Wang; Peng Meng; Jiaqi Yang; Min Pang; Li Wang. 2018. "Research on Resource Curse Effect of Resource-Dependent Cities: Case Study of Qingyang, Jinchang and Baiyin in China." Sustainability 11, no. 1: 91.

Journal article
Published: 03 November 2018 in Sustainability
Reads 0
Downloads 0

Tourism has rapidly developed into one of the world’s largest industries, and represents a new growth point for stimulating a region’s economic and social development. Therefore, a clear understanding of the interactive relationship between the tourism industry, the economy and the environment, as well as the potential mechanisms involved, can play an important role in improving the coordination between these three elements and forming a sustainable development policy. By utilizing quantitative analysis methods and models, this study uses Qingyang City, Gansu Province, as a case study, and tests the relationship between the development of the tourism industry, the economy and the environment. This study makes a number of important conclusions: (1) a mutually promoting relationship does not exist between the development of the tourism industry and economic growth; instead, a unidirectional relationship is found between the two elements. Similarly, a mutually promoting relationship does not exist between the development of the tourism industry and environmental quality; rather, a unidirectional relationship is found between the two elements. (2) The “curse effect” on economic growth imposed by the development of the tourism industry is found to exist. The development of the tourism industry not only exerts a direct negative influence on economic growth, but also adversely affects it in an indirect way through its influence over some transmission factors. Additionally, the curse effect on the environment imposed by the development of the tourism industry is also found to exist. The development of the tourism industry not only imposes a direct negative influence on the environment, but also adversely affects it in an indirect way through its influence over some transmission factors. (3) During the process of regional development, the relationship between the tourism industry, the economy and the environment needs to be correctly addressed. Through effective policies, it should be possible to realize the coordination of and sustainable development between the tourism industry, the economy and the environment.

ACS Style

Chenyu Lu; Min Pang; Jiaqi Yang; Dai Wang. Research on Interactions between the Economy and Environment in Tourism Development: Case of Qingyang, China. Sustainability 2018, 10, 4033 .

AMA Style

Chenyu Lu, Min Pang, Jiaqi Yang, Dai Wang. Research on Interactions between the Economy and Environment in Tourism Development: Case of Qingyang, China. Sustainability. 2018; 10 (11):4033.

Chicago/Turabian Style

Chenyu Lu; Min Pang; Jiaqi Yang; Dai Wang. 2018. "Research on Interactions between the Economy and Environment in Tourism Development: Case of Qingyang, China." Sustainability 10, no. 11: 4033.

Journal article
Published: 23 July 2018 in Sustainability
Reads 0
Downloads 0

The relationship between economic growth and environmental pollution has long been a controversial topic. However, simply the detection of the existence of environmental Kuznets curve (EKC) is not enough to understand how economic growth induced environmental pollution. This study investigated the path and mechanism of the effect of economic growth on the emission of two types of environmental pollutants, that is, industrial smoke and dust and sulfur dioxide, by using a structural equation model and a sample of 283 prefecture-level cities in China in 2005 and 2015. The research results show that economic growth exerted both direct and indirect effects on the emission of the two environmental pollutants. In addition to a direct impact through the economic scale effect, economic growth also indirectly impacted the two environmental pollutants emissions through three mediators, that is, industrial structure, technological innovations and environmental regulations. For different pollutants, the effect paths of economic growth on their emission showed both similarities and differences. First, with regards to industrial smoke and dust emissions and sulfur dioxide emissions, the effects of economic growth on the amount of these two emissions through environmental regulations and the industrial structure were negative inhibitory effects and positive promoting effects, respectively. This means that in prefectural-level cities in China, environmental regulation factors have produced some effects in reducing the emissions of these two pollutants while the industrial structure (level of industrialization) can increase the emissions of these two pollutants. However, the effect strength of these two paths shows a gradual weakening. Second, these two paths differ in effect strength and its changes. The positive promoting effects of the industrial structure on pollutant emission are significantly higher than the inhibitory effects of environmental regulation. In addition, our study also found that the direct impact path of economic growth on environmental pollution also passed significance testing, particularly in 2015. This shows that other reasons affect pollutant emission, such as system factors, spatial migration of industries and so forth.

ACS Style

Na Yang; Zilong Zhang; Bing Xue; Junxia Ma; Xingpeng Chen; Chenyu Lu. Economic Growth and Pollution Emission in China: Structural Path Analysis. Sustainability 2018, 10, 2569 .

AMA Style

Na Yang, Zilong Zhang, Bing Xue, Junxia Ma, Xingpeng Chen, Chenyu Lu. Economic Growth and Pollution Emission in China: Structural Path Analysis. Sustainability. 2018; 10 (7):2569.

Chicago/Turabian Style

Na Yang; Zilong Zhang; Bing Xue; Junxia Ma; Xingpeng Chen; Chenyu Lu. 2018. "Economic Growth and Pollution Emission in China: Structural Path Analysis." Sustainability 10, no. 7: 2569.

Journal article
Published: 29 May 2018 in Sustainability
Reads 0
Downloads 0

As an essential factor for sustainable development, energy plays a very important role in sustaining a modern lifestyle, particularly in poor rural areas. Considering that farmers’ livelihood in such areas is enormously dependent on services provided by environmental resources, it makes sense to investigate the relationships and interactions between farming households’ livelihood strategies and their energy consumption. The findings and outcomes would be expected to contribute to the body of knowledge and benefit local policy-making toward sustainable transformation in the long run. Taking Gannan as an example, this study employed a participatory rural appraisal approach, with first-hand data mainly from field surveys, using a stratified random sampling method to illustrate the influence of farmers’ livelihood strategies for household energy consumption in the eastern Qinghai–Tibet Plateau, China. Seven townships in Gannan were covered, three of them in pure pastoral areas, two in farming-pastoral areas, and two in farming areas. From these, 230 households were selected as study samples, with a valid return of 217 questionnaires, among which 78 came from pure pastoral areas, 60 from farming-pastoral areas, and 79 from farming areas. The results show that livelihood has a significant impact on farmers’ household energy consumption patterns, and increasing family income level and education level and improving the availability of commodity energy resources will help farmers reduce the proportion of biomass energy consumption and increase the proportion of commodity energy consumption. Furthermore, measures such as developing nonagricultural industries, improving the energy infrastructure, and enhancing farmers’ energy-saving awareness should be seriously considered to optimize farmers’ living energy consumption patterns in these poverty-stricken and eco-frangible regions.

ACS Style

Xueyan Zhao; Haili Zhao; Lu Jiang; Chenyu Lu; Bing Xue. The Influence of Farmers’ Livelihood Strategies on Household Energy Consumption in the Eastern Qinghai–Tibet Plateau, China. Sustainability 2018, 10, 1780 .

AMA Style

Xueyan Zhao, Haili Zhao, Lu Jiang, Chenyu Lu, Bing Xue. The Influence of Farmers’ Livelihood Strategies on Household Energy Consumption in the Eastern Qinghai–Tibet Plateau, China. Sustainability. 2018; 10 (6):1780.

Chicago/Turabian Style

Xueyan Zhao; Haili Zhao; Lu Jiang; Chenyu Lu; Bing Xue. 2018. "The Influence of Farmers’ Livelihood Strategies on Household Energy Consumption in the Eastern Qinghai–Tibet Plateau, China." Sustainability 10, no. 6: 1780.

Journal article
Published: 06 March 2018 in Sustainability
Reads 0
Downloads 0

Together, the regional economy, tourism industry, and ecological environment form mutually interactive and interdependent relationships. Therefore, a better understanding of their evolutionary relationships could help reveal the spatial-temporal evolution patterns of their coordinated development and promote a successful implementation of strategies for regional sustainable development. By choosing the 14 cities (12 cities and 2 city-level prefectures) in Gansu Province as cases, this study establishes the respective evaluation indices for assessing the coordinated developmental level of the tourism system. With a combination of varying quantitative methods including order parameter analysis, fuzzy membership classification, regression analysis and gray correlation analysis, measurement models for assessing the coordinated developmental level and analyzing the associated spatial-temporal evolution patterns are established between 2000 and 2016. The conclusions are as follows. Between 2000 and 2016, the development of the regional economy, tourism industry, and ecological environment mutually reinforced one another in Gansu Province. Overall, the coordinated developmental level kept gradually improving over time. However, the development of the ecological environment lagged behind that of the tourism industry and economic growth, and synchronous and coordinated development among these three subsystems was not achieved. The overall level of coordination among 14 cities was also gradually improved, as manifested by the good level of coordinated development. However, spatial differences still existed.

ACS Style

Chenyu Lu; Wenlei Li; Min Pang; Bing Xue; Hong Miao. Quantifying the Economy-Environment Interactions in Tourism: Case of Gansu Province, China. Sustainability 2018, 10, 711 .

AMA Style

Chenyu Lu, Wenlei Li, Min Pang, Bing Xue, Hong Miao. Quantifying the Economy-Environment Interactions in Tourism: Case of Gansu Province, China. Sustainability. 2018; 10 (3):711.

Chicago/Turabian Style

Chenyu Lu; Wenlei Li; Min Pang; Bing Xue; Hong Miao. 2018. "Quantifying the Economy-Environment Interactions in Tourism: Case of Gansu Province, China." Sustainability 10, no. 3: 711.

Journal article
Published: 20 October 2016 in Sustainability
Reads 0
Downloads 0

Improving the sustainability of traditional resource-based cities in China has been a core issue and policy-priority for Chinese government to establish long-term ecological civilization, particularly for northeastern China which is recognized as a typical agglomeration area of resources cities. In this study, we establish a three-layer index system consisting of a comprehensive layer, systemic layer, and variable layer, and including 22 indicators which are grouped into economic, social and environmental subsystems. After that, the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method was applied to measure and rank the sustainability of the selected 15 typical resource-based cities in northeast China, and then a GIS (Geographical Information System) technique based on the software of SuperMap was applied to map the sustainability in terms of the spatial effects among these cities. The results reveal that a unilateral improvement of a subsystem did not mean an improvement or contribution to whole system. In detail, during the past 15 years from 2000 to 2015, the comprehensive sustainability of resource-based cities in Northeastern China shows a declining trend in the mass, and the sustainability of the economic subsystem shows increase; the sustainability of the social system remains stable, while the environmental subsystem shows decrease. These situations might result from policy interventions during the past 15 years, therefore, promoting the sustainability of resource-based cities needs a historical approach, which should focus on the coordinated development of its economic, social, and environmental subsystems.

ACS Style

Chengpeng Lu; Bing Xue; Chenyu Lu; Ting Wang; Lu Jiang; Zilong Zhang; WanXia Ren. Sustainability Investigation of Resource-Based Cities in Northeastern China. Sustainability 2016, 8, 1058 .

AMA Style

Chengpeng Lu, Bing Xue, Chenyu Lu, Ting Wang, Lu Jiang, Zilong Zhang, WanXia Ren. Sustainability Investigation of Resource-Based Cities in Northeastern China. Sustainability. 2016; 8 (10):1058.

Chicago/Turabian Style

Chengpeng Lu; Bing Xue; Chenyu Lu; Ting Wang; Lu Jiang; Zilong Zhang; WanXia Ren. 2016. "Sustainability Investigation of Resource-Based Cities in Northeastern China." Sustainability 8, no. 10: 1058.

Journal article
Published: 02 February 2015 in Sustainability
Reads 0
Downloads 0

Synthetic measurement of regional sustainable development has been one of the key issues in the research field of sustainability. In this paper, Qingyang City located in the Loess Plateau ecologically fragile area of Northwest China is used for a case study, and the present study aims to investigate the degree of sustainable development by conducting temporal- and spatial-scale based analysis, with the assessment index system, assessment model and GIS approach well integrated. The results show that the development pattern of Qingyang generally fits the mode of unsustainable development, even in the presence of certain levels of spatial differences. The sustainable development state in ecologically fragile area of China’s Loess Plateau is non-optimistic, which is an uncoordinated status among subsystems of regional sustainable development. Although the level and tendency of regional sustainable development keeps increasing, such enhancement is abnormal. With the rapid deterioration of environmental and natural resources, their inhibitory effect on the economy and society would expand, eventually leading to the slow development rate or the recession of the entire system. The only solution is to change the traditional mode of economic development, to follow the guide of ecological economic conception so that the goal of achieving regional sustainable development strategies could be met ultimately. Meanwhile, the characteristics of different regions should be taken into account in order to achieve optimal spatial structure.

ACS Style

Chenyu Lu; Chunjuan Wang; Weili Zhu; Hengji Li; Yongjin Li; Chengpeng Lu. GIS-Based Synthetic Measurement of Sustainable Development in Loess Plateau Ecologically Fragile Area—Case of Qingyang, China. Sustainability 2015, 7, 1576 -1594.

AMA Style

Chenyu Lu, Chunjuan Wang, Weili Zhu, Hengji Li, Yongjin Li, Chengpeng Lu. GIS-Based Synthetic Measurement of Sustainable Development in Loess Plateau Ecologically Fragile Area—Case of Qingyang, China. Sustainability. 2015; 7 (2):1576-1594.

Chicago/Turabian Style

Chenyu Lu; Chunjuan Wang; Weili Zhu; Hengji Li; Yongjin Li; Chengpeng Lu. 2015. "GIS-Based Synthetic Measurement of Sustainable Development in Loess Plateau Ecologically Fragile Area—Case of Qingyang, China." Sustainability 7, no. 2: 1576-1594.

Journal article
Published: 31 October 2010 in Resources, Conservation and Recycling
Reads 0
Downloads 0

With rapid industrialization in China, both resource scarcity and resources efficiency have challenged the country's sustainable development. Under such circumstance, circular economy should be adopted as a national development strategy. However, due to a lack of understanding current barriers on implementing circular economy, it is necessary to conduct a questionnaire based survey. The data and information used in this paper were collected by distributing questionnaires in 6 cities and interviewing 252 respondents. Our research findings indicated that while most of officials working at municipal and county levels have higher awareness and understanding on circular economy concept and its significance, nearly 16.70% of the interviewed officials had just heard of circular economy indicating that there is still a need for government officials to further improve their circular economy awareness. Government officials can receive their circular economy knowledge through awareness raising activities thus obtaining higher circular economy awareness. The main barriers on circular economy development are weakness of public awareness and lack of financial support, the prior method on pushing circular economy development is to execute compulsory regulations, which is shared by about 61.11% of all respondents; the gap between policy-making and practical action is still a serious problem. Nearly half of the respondents are not willing to pay more money for green products.

ACS Style

Bing Xue; Xing-Peng Chen; Yong Geng; Xiao-Jia Guo; Cheng-Peng Lu; Zi-Long Zhang; Chen-Yu Lu. Survey of officials’ awareness on circular economy development in China: Based on municipal and county level. Resources, Conservation and Recycling 2010, 54, 1296 -1302.

AMA Style

Bing Xue, Xing-Peng Chen, Yong Geng, Xiao-Jia Guo, Cheng-Peng Lu, Zi-Long Zhang, Chen-Yu Lu. Survey of officials’ awareness on circular economy development in China: Based on municipal and county level. Resources, Conservation and Recycling. 2010; 54 (12):1296-1302.

Chicago/Turabian Style

Bing Xue; Xing-Peng Chen; Yong Geng; Xiao-Jia Guo; Cheng-Peng Lu; Zi-Long Zhang; Chen-Yu Lu. 2010. "Survey of officials’ awareness on circular economy development in China: Based on municipal and county level." Resources, Conservation and Recycling 54, no. 12: 1296-1302.