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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.
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 StyleJiaxing 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 StyleJiaxing 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.
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.
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 StyleJiaxing 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 StyleJiaxing 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.
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.
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 StyleChengpeng 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 StyleChengpeng 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.
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.
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 StyleJiaxing 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 StyleJiaxing 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.
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.
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 StyleChenyu 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 StyleChenyu 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.
The environmental ecology of the Yangtze River Economic Zone (YREZ) faces ecological function decline, deterioration and degradation under intense human activities, long-term development and utilization and its economy has developed rapidly over recent decades. Eco-efficiency is considered as a measure of coordinated development of economy, resources, environment and ecology, and is currently considered a very important issue. In this paper, based on the slack-based measure and data envelope analysis model, we take 129 prefecture-level cities of the YREZ as the study unit and measure the eco-efficiency of the YREZ in 2000, 2005, 2010 and 2015, which considers undesired output. The evaluation of the status quo of the regional eco-efficiency development was carried out at provincial, prefectural and city scales. The spatial autocorrelation test model and standard deviation ellipse were used to analyze the spatially distributed characteristics and the evolutionary regularity of eco-efficiency. Our study suggested that the eco-efficiency value varied significantly at different spatiotemporal scales and the overall distribution presented an “N-shaped” pattern, the value is the largest downstream and the smallest upstream. Regional eco-efficiency presented certain volatility in growth and a clear spatial positive agglomeration trend from 2000 to 2015. The spatial distribution of each agglomeration area was also significantly different, forming some high-high agglomeration areas at the center of the shaft with Shanghai and surrounding cities, and some low-low agglomeration areas at the center with middle reaches and upstream cities. The low-high over-aggregation and high-low polarization clusters were fewer. At the same time, with the change of the research period, the degree of positive agglomeration became increasingly pronounced and the eco-efficiency gap of the neighborhood unit reduced. The regional eco-efficiency value of the YREZ presented a spatial distribution pattern in the northeast-southwest axis and the evolutionary pattern of the regional eco-efficiency similarly showed a northeast-southwest orientation.
Lin Ha; Jianjun Tu; Jianping Yang; Chunhai Xu; Jiaxing Pang; Debin Lu; Zuolin Yao; Wenyu Zhao. Regional eco-efficiency evaluation and spatial pattern analysis of the Yangtze River Economic Zone. Journal of Geographical Sciences 2020, 30, 1117 -1139.
AMA StyleLin Ha, Jianjun Tu, Jianping Yang, Chunhai Xu, Jiaxing Pang, Debin Lu, Zuolin Yao, Wenyu Zhao. Regional eco-efficiency evaluation and spatial pattern analysis of the Yangtze River Economic Zone. Journal of Geographical Sciences. 2020; 30 (7):1117-1139.
Chicago/Turabian StyleLin Ha; Jianjun Tu; Jianping Yang; Chunhai Xu; Jiaxing Pang; Debin Lu; Zuolin Yao; Wenyu Zhao. 2020. "Regional eco-efficiency evaluation and spatial pattern analysis of the Yangtze River Economic Zone." Journal of Geographical Sciences 30, no. 7: 1117-1139.
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.
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 StyleLu 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 StyleLu 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.
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.
Jiaxing Pang; Xingpeng Chen; Zilong Zhang; Hengji Li. Measuring Eco-Efficiency of Agriculture in China. Sustainability 2016, 8, 398 .
AMA StyleJiaxing Pang, Xingpeng Chen, Zilong Zhang, Hengji Li. Measuring Eco-Efficiency of Agriculture in China. Sustainability. 2016; 8 (4):398.
Chicago/Turabian StyleJiaxing Pang; Xingpeng Chen; Zilong Zhang; Hengji Li. 2016. "Measuring Eco-Efficiency of Agriculture in China." Sustainability 8, no. 4: 398.
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.
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 StyleXingpeng 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 StyleXingpeng 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.