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Xingpeng Chen
Institute of County Economic Development, Lanzhou University, Lanzhou 730000, China

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Journal article
Published: 28 August 2021 in International Journal of Environmental Research and Public Health
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The change of agricultural production scale is directly related to food security and the stable development of social economy. Particularly, the influence of economic development level and agricultural water use on agricultural production scale cannot be ignored. Therefore, this paper uses the fully modified ordinary least squares (FMOLS) and the Dumitrescu–Hurlin panel causality test models to discuss the effects of the level of economic development, agricultural water use, the level of urbanization, and the market price of agricultural products on the scale of agricultural production in China. The analysis results indicated that agricultural water use, the level of urbanization, and the market price of agricultural products promoted an increase of the scale of agricultural production at the total sample level; a 1% increase for these three variables will result in an increase of the scale of agricultural production of 0.634%, 0.377%, and 0.292%, respectively. The influence of economic development level on agricultural production scale accords with Kuznets curve. However, at the regional level, the influence of each variable on the eastern region is consistent with the trend of the total sample. In the central region, the impact of economic development on agricultural production scale shows a U-shaped curve, and the improvement of urbanization level inhibits the expansion of agricultural production scale. In the western region, all variables failed to pass the significance test. The results of the FMOLS model were validated by the fixed effects model. The results of causality tests showed that bidirectional causality existed between the scale of agricultural production and the level of economic development, the scale of agricultural production and agricultural water use, the level of economic development and the market price of agricultural products, and the level of urbanization and the market price of agricultural products. In different regions, there were differences in causality between variables. Therefore, based on the empirical results, we put forward some policy suggestions to maintain the scale of agricultural production.

ACS Style

Jiaxing Pang; Ningfei Wang; Xue Li; Xiang Li; Huiyu Wang; Xingpeng Chen. Impact of Economic Development Level and Agricultural Water Use on Agricultural Production Scale in China. International Journal of Environmental Research and Public Health 2021, 18, 9085 .

AMA Style

Jiaxing Pang, Ningfei Wang, Xue Li, Xiang Li, Huiyu Wang, Xingpeng Chen. Impact of Economic Development Level and Agricultural Water Use on Agricultural Production Scale in China. International Journal of Environmental Research and Public Health. 2021; 18 (17):9085.

Chicago/Turabian Style

Jiaxing Pang; Ningfei Wang; Xue Li; Xiang Li; Huiyu Wang; Xingpeng Chen. 2021. "Impact of Economic Development Level and Agricultural Water Use on Agricultural Production Scale in China." International Journal of Environmental Research and Public Health 18, no. 17: 9085.

Journal article
Published: 27 May 2021 in Energies
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China is a large agricultural country with a high level of agricultural carbon emissions. Whether market prices can be used in agricultural production as a means of agricultural carbon emissions reduction is of great significance to improve the allocation of agricultural production factors and expand large-scale production. This paper applies an autoregressive distributed lag–pooled mean group(ARDL–PMG) model to evaluate the relationship between agricultural production factor prices, food consumption prices, and agricultural carbon emissions, using Chinese provincial panel data from 1994 to 2018. The results show that agricultural carbon emissions and agricultural production factor prices show environmental Kuznets curve (EKC) characteristics; agricultural carbon emissions and food prices show a U-shaped curve; and agricultural production factors are positively correlated with food price in both directions in the long-term. The results of Granger causality tests show that price is the cause of agricultural carbon emissions; the price of agricultural production factors and the price of food consumption are mutually causal. Such results have implications for price, agriculture, and environmental policies. The analysis implies that the market price can be applied to agricultural carbon reduction, which will help policymakers to implement effective price policies in order to reduce agricultural carbon emissions. One implication is that promoting the marketization of agricultural production factors and reducing price distortions will be conducive to carbon emissions reduction in agriculture, which in turn will increase food consumption prices. Therefore, subsidies are needed at the consumption end, which will eventually achieve further carbon emissions reduction at the production and consumption ends.

ACS Style

Jiaxing Pang; Xiang Li; Xue Li; Xingpeng Chen; Huiyu Wang. Research on the Relationship between Prices of Agricultural Production Factors, Food Consumption Prices, and Agricultural Carbon Emissions: Evidence from China’s Provincial Panel Data. Energies 2021, 14, 3136 .

AMA Style

Jiaxing Pang, Xiang Li, Xue Li, Xingpeng Chen, Huiyu Wang. Research on the Relationship between Prices of Agricultural Production Factors, Food Consumption Prices, and Agricultural Carbon Emissions: Evidence from China’s Provincial Panel Data. Energies. 2021; 14 (11):3136.

Chicago/Turabian Style

Jiaxing Pang; Xiang Li; Xue Li; Xingpeng Chen; Huiyu Wang. 2021. "Research on the Relationship between Prices of Agricultural Production Factors, Food Consumption Prices, and Agricultural Carbon Emissions: Evidence from China’s Provincial Panel Data." Energies 14, no. 11: 3136.

Journal article
Published: 06 January 2021 in Sustainability
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Waste is increasingly used as a renewable resource. Industrial symbiosis is an innovative concept for more efficient use of waste streams within industrial complexes, with the aim of reducing the overall environmental impact of the complex. Industrial symbiosis plays a more important role in promoting green economic growth and building low-carbon cities. Based on the ecological theoretical framework, combined with Waste Flow Analysis (WFA), the material flow analysis (MFA) and production matrix methods were used as the core to construct the Industrial Symbiosis System Waste Flow Metabolism Analysis (ISSWFMA) model. In addition, taking the “Jinchang Model” as an example, a typical case selected by the National Development and Reform Commission of China’s regional circular economy development model, we conducted a refined quantitative study on the flow and metabolism of waste flow in the regional industrial symbiosis system at the City-Region level using the circulation degree index. The following conclusions were obtained from the study: The ISSWFMA model can better describe the flow and metabolism of waste streams in the industrial symbiosis system at the City-Region Level and can provide data and methods for storage management. As the internal industrial chain and the correlation between various departments continuously improved, the Circulation Index (CI) of solid waste, wastewater, and exhaust gas in the industrial symbiosis system of Jinchang City showed an overall increasing trend, the degree of recycling was continuously increasing, the industrial symbiosis ability was continuously enhanced, and the system structure was more complete. At the same time, based on the analysis of different wastes, the industrial symbiosis is developed at different stages; based on the analysis of solid wastes, the industrial symbiosis ability of Jinchang’s Industrial Symbiosis System has strengthened and accelerated the fastest from 2005 to 2010; based on the analysis of wastewater, the industrial symbiosis ability of the system strengthened slowly during the whole study period; and based on the analysis of exhaust gas, the industrial symbiosis ability of the system continued to strengthen rapidly during the whole study period. Finally, on the basis of further discussion on the selection of waste recycling paths, we proposed to give full play to the role of market mechanisms, and to build recycling areas and ecological areas by strengthening industrial symbiosis and its derived urban symbiosis to achieve the goals of natural resource conservation, ecological environment protection, and harmonious coexistence between human and nature.

ACS Style

Chengpeng Lu; Xiaoli Pan; Xingpeng Chen; Jinhuang Mao; Jiaxing Pang; Bing Xue. Modeling of Waste Flow in Industrial Symbiosis System at City-Region Level: A Case Study of Jinchang, China. Sustainability 2021, 13, 466 .

AMA Style

Chengpeng Lu, Xiaoli Pan, Xingpeng Chen, Jinhuang Mao, Jiaxing Pang, Bing Xue. Modeling of Waste Flow in Industrial Symbiosis System at City-Region Level: A Case Study of Jinchang, China. Sustainability. 2021; 13 (2):466.

Chicago/Turabian Style

Chengpeng Lu; Xiaoli Pan; Xingpeng Chen; Jinhuang Mao; Jiaxing Pang; Bing Xue. 2021. "Modeling of Waste Flow in Industrial Symbiosis System at City-Region Level: A Case Study of Jinchang, China." Sustainability 13, no. 2: 466.

Journal article
Published: 16 October 2020 in International Journal of Environmental Research and Public Health
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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: 15 May 2020 in International Journal of Environmental Research and Public Health
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Eco-efficiency enhancement is an inherent requirement of green development and an important indicator of high-quality development in general. It aims to achieve the coordinated development of nature, the economy, and society. Therefore, eco-efficiency measurements should focus on not only total factor input, but also process analysis. Based on the “full world” model in ecological economic theory, this study constructed a theoretical framework for a composite economic-environmental-social system that reflects human welfare and sustainability. To this end, using network data envelopment analysis (DEA), this study established a staged eco-efficiency evaluation model that uses economic, environmental, and social factors to measure the overall and staged eco-efficiency of China’s provinces from 2003 to 2016 and analyze its spatiotemporal characteristics. A geographically weighted regression (GWR) model was also used to analyze the influencing factors of eco-efficiency changes and the spatial differentiation in their effect intensity. The findings were as follows: (1) China’s overall eco-efficiency is still at a low level. It varies significantly from region to region, and only three regions are at the frontier of production. The eastern region has the highest eco-efficiency, followed by the central region, and the gap between the central and western regions has gradually narrowed. In terms of staged efficiency, the level of eco-efficiency in the production stage is less than in the environmental governance stage, which is less than that in the social input stage. (2) In terms of the efficiency of each stage, the efficiency level of the production stage showed a downward trend throughout the entire process, and the decline in the central and western regions was more obvious. The social input stage and the environmental governance stage both showed upward trends. The social input stage showed a higher level, and the increase was relatively flat during the period of study. Efficiency continued to rise during the environmental governance stage from 2003 to 2010 and rose overall, but with some fluctuations from 2011 to 2016. (3) Geographically weighted regression showed that the effects of the influencing factors on eco-efficiency had obvious spatial heterogeneity. The factors affecting overall, production stage, and social input eco-efficiency were, in order of effect intensity from high to low, economic growth level, marketization level, and social input level. In terms of environmental governance, social input level had the greatest impact, followed by economic growth; marketization level did not show a significant impact.

ACS Style

Weizhen Ren; Zilong Zhang; Yueju Wang; Bing Xue; Xingpeng Chen. Measuring Regional Eco-Efficiency in China (2003–2016): A “Full World” Perspective and Network Data Envelopment Analysis. International Journal of Environmental Research and Public Health 2020, 17, 3456 .

AMA Style

Weizhen Ren, Zilong Zhang, Yueju Wang, Bing Xue, Xingpeng Chen. Measuring Regional Eco-Efficiency in China (2003–2016): A “Full World” Perspective and Network Data Envelopment Analysis. International Journal of Environmental Research and Public Health. 2020; 17 (10):3456.

Chicago/Turabian Style

Weizhen Ren; Zilong Zhang; Yueju Wang; Bing Xue; Xingpeng Chen. 2020. "Measuring Regional Eco-Efficiency in China (2003–2016): A “Full World” Perspective and Network Data Envelopment Analysis." International Journal of Environmental Research and Public Health 17, no. 10: 3456.

Journal article
Published: 23 January 2020 in Remote Sensing
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As an open artificial ecosystem, the development of a city requires the continuous input and output of material and energy, which is called urban metabolism, and includes catabolic (material-flow) and anabolic (material-accumulation) processes. Previous studies have focused on the catabolic and ignored the anabolic process due to data and technology problems. The combination of remote-sensing technology and high-resolution satellite images facilitates the estimation of cumulative material amounts in urban systems. This study focused on persistent accumulation, which is the metabolic response of urban land use/urban land expansion, building stock, and road stock to land-use changes. Building stock is an extremely cost-intensive and long-lived component of cumulative metabolism. The study measured building stocks of Jinchang, China’s nickel capital by using remote-sensing images and field-research data. The development of the built environment could be analyzed by comparing the stock of buildings on maps representing different time periods. The results indicated that material anabolism in Jinchang is a distance-dependent function, where the amounts and rates of material anabolism decrease with changes in distance to the central business district (CBD) and city administration center (CAC). The cumulative metabolic rate and cumulative total metabolism were observed to be increasing, however, the growth rate has decreased.

ACS Style

Shuqi He; Xingpeng Chen; Zilong Zhang; Zhaoyue Wang; Mengran Hu. The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China. Remote Sensing 2020, 12, 370 .

AMA Style

Shuqi He, Xingpeng Chen, Zilong Zhang, Zhaoyue Wang, Mengran Hu. The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China. Remote Sensing. 2020; 12 (3):370.

Chicago/Turabian Style

Shuqi He; Xingpeng Chen; Zilong Zhang; Zhaoyue Wang; Mengran Hu. 2020. "The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China." Remote Sensing 12, no. 3: 370.

Journal article
Published: 02 September 2019 in Applied Sciences
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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
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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: 01 May 2019 in Science of The Total Environment
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China is currently the world's largest carbon emitter. As a large agricultural country, understanding the relationship between carbon emissions, economic growth and energy consumption in the agricultural sector can contribute to achieving the sustainable development of agriculture. Hence, this paper aims to investigate the relationship between carbon emissions, energy consumption and economic growth in the agricultural sector using a time series of data from China's main grain-producing areas during the period between 1996 and 2015. We first estimate the agricultural carbon emissions. And then based on the estimated results, we employ the autoregressive distributed lag (ARDL) model, the Granger causality test based on the vector error correction model (VECM), and impulse response and variance decomposition to test the relationship between carbon emissions, energy consumption and economic growth in the agricultural sector. The estimated results support the environmental Kuznets curve (EKC) hypothesis for agricultural carbon emissions in China's main grain-producing areas. Furthermore, agricultural energy consumption has both the short-run and the long-run negative impacts on agricultural carbon emissions. In addition, we find that there is a bidirectional causality between agricultural carbon emissions and agricultural economic growth in both the short-run and the long-run, and the unidirectional causalities are found to exist from agricultural energy consumption to agricultural carbon emissions and agricultural economic growth. Finally, several policy recommendations are offered to promote the sustainable development of agriculture in China's main grain-producing areas.

ACS Style

Lu Zhang; Jiaxing Pang; Xingpeng Chen; Zhongmingnan Lu. Carbon emissions, energy consumption and economic growth: Evidence from the agricultural sector of China's main grain-producing areas. Science of The Total Environment 2019, 665, 1017 -1025.

AMA Style

Lu Zhang, Jiaxing Pang, Xingpeng Chen, Zhongmingnan Lu. Carbon emissions, energy consumption and economic growth: Evidence from the agricultural sector of China's main grain-producing areas. Science of The Total Environment. 2019; 665 ():1017-1025.

Chicago/Turabian Style

Lu Zhang; Jiaxing Pang; Xingpeng Chen; Zhongmingnan Lu. 2019. "Carbon emissions, energy consumption and economic growth: Evidence from the agricultural sector of China's main grain-producing areas." Science of The Total Environment 665, no. : 1017-1025.

Journal article
Published: 16 April 2019 in Sustainability
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Ecological civilization, a word with distinctively Chinese characteristics, will be the key strategy to address a series of problems in China’s economic transformation in the future. This study elaborated the concept and connotation of an ecological civilization from both narrow and broad perspectives, and established an evaluation index system with 26 specific indicators. These indicators were based on concepts to evaluate the development level of ecological civilization in mainland China and its 31 provinces (excluding Hong Kong, Macao, and Taiwan), autonomous regions, and municipalities from 2004 to 2016. The results reveal that China has achieved a transition in the development level of ecological civilization from low to intermediate as a whole, however, even rapid economic growth at the expense of the ecological environment cannot enable China to get rid of the fact that its social and economic development is lagging behind developed countries and regions. China and its various provinces, autonomous regions, and municipalities should gradually reduce their own deficiencies in the process of ecological civilization construction, under the premise of maintaining their own advantages, so as to achieve sustainable development and accelerate the construction of an ecological civilization.

ACS Style

Xiaotian Wang; Xingpeng Chen. An Evaluation Index System of China’s Development Level of Ecological Civilization. Sustainability 2019, 11, 2270 .

AMA Style

Xiaotian Wang, Xingpeng Chen. An Evaluation Index System of China’s Development Level of Ecological Civilization. Sustainability. 2019; 11 (8):2270.

Chicago/Turabian Style

Xiaotian Wang; Xingpeng Chen. 2019. "An Evaluation Index System of China’s Development Level of Ecological Civilization." Sustainability 11, no. 8: 2270.

Journal article
Published: 05 March 2019 in Sustainability
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The vegetation response to climatic factors is a hot topic in global change research. With the Support of ArcGIS and ENVI software, six sets of Landsat remote sensing images of the middle and lower reaches of the Shule River Basin were interpreted. Eight types of land use and land covers were obtained and the spatiotemporal characteristics of the land use/land cover changes (LUCCs) were analyzed using an intensity analysis to provide a basis for decision-making on the sustainable development of the basin. In the past 29 years, the area of cropland, construction land and shrubland had a net increase, while high-coverage grassland (HCG), medium-coverage grassland (MCG), low-coverage grassland (LCG), wetland and non-vegetation land all presented a net decrease. The area of artificial vegetation (cropland) presented an expanding trend and increased by 1105.56 km2 in total, while the natural vegetation (grassland, shrubland, wetland) showed a shrinking tendency and decreased by 917.69 km2. The intensity analysis revealed that the rate of LUCC in the period of 2000~2006 and 2006~2010 was relatively higher, although the rate of LUCC in other periods was much lower. The change intensities of MCG and HCG were greatest, followed by LCG, shrubland and wetland. Construction land and cropland were in third place, while non-vegetation land was in last place. The pattern of regional LUCC was generally stable except for cropland loss and the gain/loss change of other land-use/land-cover types was always in an active state. For spatial distribution, few changes were observed in the old irrigated area within the oasis. The LUCC was mainly concentrated in the oasis fringe area, natural vegetation cover area and emigrant arrangement regions.

ACS Style

Fuwen Da; Xingpeng Chen; Jinghui Qi. Spatiotemporal Characteristic of Land Use/Land Cover Changes in the Middle and Lower Reaches of Shule River Basin Based on an Intensity Analysis. Sustainability 2019, 11, 1360 .

AMA Style

Fuwen Da, Xingpeng Chen, Jinghui Qi. Spatiotemporal Characteristic of Land Use/Land Cover Changes in the Middle and Lower Reaches of Shule River Basin Based on an Intensity Analysis. Sustainability. 2019; 11 (5):1360.

Chicago/Turabian Style

Fuwen Da; Xingpeng Chen; Jinghui Qi. 2019. "Spatiotemporal Characteristic of Land Use/Land Cover Changes in the Middle and Lower Reaches of Shule River Basin Based on an Intensity Analysis." Sustainability 11, no. 5: 1360.

Review
Published: 23 February 2019 in Sustainability
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Household energy consumption has been a major contributor to the increase in global energy demand and carbon emission, and the household sector has also become one of the most crucial factors shaping the management of developments towards sustainability. However, there is still a knowledge gap regarding the household energy consumption in China. Due to the vast territory and the differences among regional conditions, it is critical to conduct a systemic review to illustrate the overall situation as well as the detailed mechanisms of the household energy consumption in China. By employing both qualitative and quantitative methods, two key features of the household energy consumption in China are presented; one is regarding the total amount and the structure of the household energy consumption, and the second is the significant urban-rural gap. The driving forces are investigated from the perspective of external determinants and internal determinants, which consist of seven key factors; finally, the transition roadmap towards the sustainable energy system for the household level are presented based on the text analysis from the four key policy documents. Weaknesses in the current research on the energy geography of household level also exist, such as the lack of single factor research and the lack of integration and comprehensive analysis. Therefore, future studies need to strengthen the research of regional household energy consumption structure, spatial-temporal process, and its motivation mechanism, and sustainable development of energy, so as to explore space-social structure of household energy consumption and spatial-temporal interaction.

ACS Style

Lu Jiang; Xingpeng Chen; Bing Xue. Features, Driving Forces and Transition of the Household Energy Consumption in China: A Review. Sustainability 2019, 11, 1186 .

AMA Style

Lu Jiang, Xingpeng Chen, Bing Xue. Features, Driving Forces and Transition of the Household Energy Consumption in China: A Review. Sustainability. 2019; 11 (4):1186.

Chicago/Turabian Style

Lu Jiang; Xingpeng Chen; Bing Xue. 2019. "Features, Driving Forces and Transition of the Household Energy Consumption in China: A Review." Sustainability 11, no. 4: 1186.

Journal article
Published: 23 July 2018 in Sustainability
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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: 15 December 2016 in Energies
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Reducing carbon dioxide (CO2) emissions has become a global consensus in response to global warming and climate change, especially to China, the largest CO2 emitter in the world. Most studies have focused on CO2 emissions from the production sector, however, the household sector plays an important role in the total energy-related CO2 emissions. This study formulates an integrated model based on logarithmic mean Divisia index methodology and a system dynamics model to dynamically simulate household energy consumption and CO2 emissions under different conditions. Results show the following: (1) the integrated model performs well in calculating the contribution of influencing factors on household CO2 emissions and analyzing the options for CO2 emission mitigation; (2) the increase in income is the dominant driving force of household CO2 emissions, and as a result of the improved standard of living in China a sustained increase in household CO2 emissions can be expected; (3) with decreasing energy intensity, CO2 emissions will decrease to 404.26 Mt-CO2 in 2020, which is 9.84% lower than the emissions in 2014; (4) the reduction potential by developing non-fossil energy sources is limited, and raising the rate of urbanization cannot reduce the household CO2 emission under the comprehensive influence of other factors.

ACS Style

Xingpeng Chen; Guokui Wang; Xiaojia Guo; Jinxiu Fu. An Analysis Based on SD Model for Energy-Related CO2 Mitigation in the Chinese Household Sector. Energies 2016, 9, 1062 .

AMA Style

Xingpeng Chen, Guokui Wang, Xiaojia Guo, Jinxiu Fu. An Analysis Based on SD Model for Energy-Related CO2 Mitigation in the Chinese Household Sector. Energies. 2016; 9 (12):1062.

Chicago/Turabian Style

Xingpeng Chen; Guokui Wang; Xiaojia Guo; Jinxiu Fu. 2016. "An Analysis Based on SD Model for Energy-Related CO2 Mitigation in the Chinese Household Sector." Energies 9, no. 12: 1062.

Journal article
Published: 21 April 2016 in Sustainability
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Eco-efficiency is a tool for sustainability analysis that indicates how to carry out economic activities effectively. This paper assesses agricultural eco-efficiency using data envelopment analysis (DEA) and the Theil index approach. Using basic data of 31 provinces in China during 2003–2013, we analyzed the agricultural eco-efficiency development level and spatial pattern in China. The results show that the agricultural eco-efficiency of only four provinces has been relatively efficient in the entire study period, namely, Zhejiang, Hainan, Chongqing, and Tibet. The results also show that agricultural eco-efficiency was higher mainly in south of the Qinling Mountains-Huaihe River Line and north of the Yangtze River area, that agricultural eco-efficiency is mainly affected by pure technical efficiency, and that highly efficient areas are mainly concentrated in the densely populated areas, i.e., the economic developed areas (except Tibet). The Theil index results show that the agricultural eco-efficiency difference weakened between provinces in China, as did western and northeast regions, but eastern and central regions show a slight upward trend.

ACS Style

Jiaxing Pang; Xingpeng Chen; Zilong Zhang; Hengji Li. Measuring Eco-Efficiency of Agriculture in China. Sustainability 2016, 8, 398 .

AMA Style

Jiaxing Pang, Xingpeng Chen, Zilong Zhang, Hengji Li. Measuring Eco-Efficiency of Agriculture in China. Sustainability. 2016; 8 (4):398.

Chicago/Turabian Style

Jiaxing Pang; Xingpeng Chen; Zilong Zhang; Hengji Li. 2016. "Measuring Eco-Efficiency of Agriculture in China." Sustainability 8, no. 4: 398.

Journal article
Published: 29 February 2016 in Sustainability
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Unprecedented economic achievement in China has occurred along with rising resource consumption and waste productions levels. The goal of sustainability requires the decoupling of economic growth from resource consumption (resource decoupling) and environmental degradation (impact decoupling). For this paper, the performances of resource decoupling (energy and water) and impact decoupling (wastewater, SO2 and CO2) in China were evaluated, and the spatial pattern and temporal trend of decoupling performance were investigated by using the rescaled range analysis (R/S). The results indicate the following. (1) The performance of resource decoupling during the investigated period is worse than that of traditional impact (SO2 and wastewater) decoupling, but better than that of the CO2 emission. Additionally, the decoupling performances of energy consumption and related pollutant emission (except CO2) are better than that of water usage and wastewater discharge; (2) The decoupling performance of energy consumption, SO2 and CO2, has substantially improved from the 10th Five-Year Planning Period (FYP) (2001–2005) to the 11th FYP (2006–2010), which indicates that the decoupling performance is highly related the environmental policy; (3) The spatial disparities of the performance of resource and impact decoupling are declining, which indicates the existence of cross-province convergence in decoupling performance; (4) The decoupling performance of SO2 and water usage in most of regions shows an improving trend. Inversely, the decoupling performance of energy consumption, CO2 emission, and wastewater discharge in most regions show a decreasing trend; (5) China needs more stringent water-saving targets and wastewater discharge standards; better policy efforts to improve the water recycling level both in agricultural, industrial and municipal level are required to prevent the decreasing trend of the decoupling performance.

ACS Style

Zilong Zhang; Bing Xue; Jiaxing Pang; Xingpeng Chen. The Decoupling of Resource Consumption and Environmental Impact from Economic Growth in China: Spatial Pattern and Temporal Trend. Sustainability 2016, 8, 222 .

AMA Style

Zilong Zhang, Bing Xue, Jiaxing Pang, Xingpeng Chen. The Decoupling of Resource Consumption and Environmental Impact from Economic Growth in China: Spatial Pattern and Temporal Trend. Sustainability. 2016; 8 (3):222.

Chicago/Turabian Style

Zilong Zhang; Bing Xue; Jiaxing Pang; Xingpeng Chen. 2016. "The Decoupling of Resource Consumption and Environmental Impact from Economic Growth in China: Spatial Pattern and Temporal Trend." Sustainability 8, no. 3: 222.

Journal article
Published: 26 October 2015 in Sustainability
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China is the largest CO2 emitter in the world and is still reliant on energy consumption for economic growth. Research has focused on effective approaches of reducing and mitigating CO2 emissions. This paper undertakes a decomposition study of energy-related CO2 emissions from the industrial and household sectors during the period 1996–2012, with the objectives of investigating trends of the changes in energy-related CO2 emissions, the driving forces of these changes, and approaches of mitigating CO2 emission. Results show the following: (1) the expansion of economic activity is the dominant stimulatory factor of the increase of CO2 emissions in China and that a sustained increase in CO2 emissions can be expected; (2) the decline in energy intensity and the adjustment of energy mix and industrial structure effectively mitigate CO2 emissions; and (3) the government should give more attention to enhancing the energy utility efficiency and reducing CO2 emissions in rural households.

ACS Style

Guokui Wang; Xingpeng Chen; Zilong Zhang; Chaolan Niu. Influencing Factors of Energy-Related CO2 Emissions in China: A Decomposition Analysis. Sustainability 2015, 7, 14408 -14426.

AMA Style

Guokui Wang, Xingpeng Chen, Zilong Zhang, Chaolan Niu. Influencing Factors of Energy-Related CO2 Emissions in China: A Decomposition Analysis. Sustainability. 2015; 7 (10):14408-14426.

Chicago/Turabian Style

Guokui Wang; Xingpeng Chen; Zilong Zhang; Chaolan Niu. 2015. "Influencing Factors of Energy-Related CO2 Emissions in China: A Decomposition Analysis." Sustainability 7, no. 10: 14408-14426.

Journal article
Published: 15 December 2014 in Sustainability
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As the largest solid waste (SW) generator in the world, China is facing serious pollution issues induced by increasing quantities of SW. The sustainability assessment of SW management is very important for designing relevant policy for further improving the overall efficiency of solid waste management (SWM). By focusing on industrial solid waste (ISW) and municipal solid waste (MSW), the paper investigated the sustainability performance of SWM by applying decoupling analysis, and further identified the main drivers of SW change in China by adopting Logarithmic Mean Divisia Index (LMDI) model. The results indicate that China has made a great achievement in SWM which was specifically expressed as the increase of ISW utilized amount and harmless disposal ratio of MSW, decrease of industrial solid waste discharged (ISWD), and absolute decoupling of ISWD from economic growth as well. However, China has a long way to go to achieve the goal of sustainable management of SW. The weak decoupling, even expansive negative decoupling of ISW generation and MSW disposal suggests that China needs timely technology innovation and rational institutional arrangement to reduce SW intensity from the source and promote classification and recycling. The factors of investment efficiency and technology are the main determinants of the decrease in SW, inversely, economic growth has increased SW discharge. The effects of investment intensity showed a volatile trend over time but eventually decreased SW discharged. Moreover, the factors of population and industrial structure slightly increased SW.

ACS Style

Xingpeng Chen; Jiaxing Pang; Zilong Zhang; Hengji Li. Sustainability Assessment of Solid Waste Management in China: A Decoupling and Decomposition Analysis. Sustainability 2014, 6, 9268 -9281.

AMA Style

Xingpeng Chen, Jiaxing Pang, Zilong Zhang, Hengji Li. Sustainability Assessment of Solid Waste Management in China: A Decoupling and Decomposition Analysis. Sustainability. 2014; 6 (12):9268-9281.

Chicago/Turabian Style

Xingpeng Chen; Jiaxing Pang; Zilong Zhang; Hengji Li. 2014. "Sustainability Assessment of Solid Waste Management in China: A Decoupling and Decomposition Analysis." Sustainability 6, no. 12: 9268-9281.

Journal article
Published: 05 December 2014 in Sustainability
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This paper analyzed the characteristic of the tourism destination ecosystem from perspective of entropy in Dunhuang City. Given these circumstances, an evaluation index system that considers the potential of sustainable development was formed based on dissipative structure and entropy change for the tourism destination ecosystem. The sustainable development potential evaluation model for tourism destination ecosystem was built up based on information entropy. Then, we analyzed each indicator impact for the sustainable development potential and proposed some measures for the tourism destination ecosystem. The conclusions include: (a) the requirements of Dunhuang tourism destination ecosystem on the natural ecosystem continuously grew between 2000 and 2012; (b) The sustainable development potential of the Dunhuang tourism destination ecosystem was on an oscillation upward trend during the study period, which is dependent on government attention, and pollution problems were improved.

ACS Style

Huihui Feng; Xingpeng Chen; Peter Heck; Hong Miao. An Entropy-Perspective Study on the Sustainable Development Potential of Tourism Destination Ecosystem in Dunhuang, China. Sustainability 2014, 6, 8980 -9006.

AMA Style

Huihui Feng, Xingpeng Chen, Peter Heck, Hong Miao. An Entropy-Perspective Study on the Sustainable Development Potential of Tourism Destination Ecosystem in Dunhuang, China. Sustainability. 2014; 6 (12):8980-9006.

Chicago/Turabian Style

Huihui Feng; Xingpeng Chen; Peter Heck; Hong Miao. 2014. "An Entropy-Perspective Study on the Sustainable Development Potential of Tourism Destination Ecosystem in Dunhuang, China." Sustainability 6, no. 12: 8980-9006.

Journal article
Published: 28 November 2014 in Sustainability
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Integrated analysis on socio-economic metabolism could provide a basis for understanding and optimizing regional sustainability. The paper conducted socio-economic metabolism analysis by means of the emergy accounting method coupled with data envelopment analysis and decomposition analysis techniques to assess the sustainability of Qingyang city and its eight sub-region system, as well as to identify the major driving factors of performance change during 2000–2007, to serve as the basis for future policy scenarios. The results indicate that Qingyang greatly depended on non-renewable emergy flows and feedback (purchased) emergy flows, except the two sub-regions, named Huanxian and Huachi, which highly depended on renewable emergy flow. Zhenyuan, Huanxian and Qingcheng were identified as being relatively emergy efficient, and the other five sub-regions have potential to reduce natural resource inputs and waste output to achieve the goal of efficiency. The results of decomposition analysis show that the economic growth, as well as the increased emergy yield ratio and population not accompanied by a sufficient increase of resource utilization efficiency are the main drivers of the unsustainable economic model in Qingyang and call for polices to promote the efficiency of resource utilization and to optimize natural resource use.

ACS Style

Zilong Zhang; Xingpeng Chen; Peter Heck. Emergy-Based Regional Socio-Economic Metabolism Analysis: An Application of Data Envelopment Analysis and Decomposition Analysis. Sustainability 2014, 6, 8618 -8638.

AMA Style

Zilong Zhang, Xingpeng Chen, Peter Heck. Emergy-Based Regional Socio-Economic Metabolism Analysis: An Application of Data Envelopment Analysis and Decomposition Analysis. Sustainability. 2014; 6 (12):8618-8638.

Chicago/Turabian Style

Zilong Zhang; Xingpeng Chen; Peter Heck. 2014. "Emergy-Based Regional Socio-Economic Metabolism Analysis: An Application of Data Envelopment Analysis and Decomposition Analysis." Sustainability 6, no. 12: 8618-8638.