This page has only limited features, please log in for full access.
In response to the severe situation of water and land resources in China, this paper uses the DPSIR (driving force–pressure–state–impact–response) model and two-stage network DEA (data envelopment analysis) model to evaluate the carrying capacity and utilization efficiency of land and water resources in 31 provinces of China from 2009 to 2017. The empirical results show that the carrying capacity and the efficiency values of land and water resources in most areas of China do not perform well and show a downward trend during the sample period. Specifically, the carrying capacity of land and water resources show a decreasing trend from north to south and from east to west. In addition, the response to the current situation of land and water resources has an important influence on the carrying capacity. The utilization efficiency of water and soil resources is significantly different in the two stages in most regions, indicating that the efficiency of economic benefit transformation is far greater than land and water resources development. Our results shed some insights on land and water utilization efficiency management and provide political recommendations for different regions.
Changchun Tan; Qinhong Peng; Tao Ding; Zhixiang Zhou. Regional Assessment of Land and Water Carrying Capacity and Utilization Efficiency in China. Sustainability 2021, 13, 9183 .
AMA StyleChangchun Tan, Qinhong Peng, Tao Ding, Zhixiang Zhou. Regional Assessment of Land and Water Carrying Capacity and Utilization Efficiency in China. Sustainability. 2021; 13 (16):9183.
Chicago/Turabian StyleChangchun Tan; Qinhong Peng; Tao Ding; Zhixiang Zhou. 2021. "Regional Assessment of Land and Water Carrying Capacity and Utilization Efficiency in China." Sustainability 13, no. 16: 9183.
Based on the panel data of 224 prefecture-level and above cities in China from 2003 to 2016, this paper empirically studies the impact of urban sprawl on air pollution and introduces a mediating effect model to test the mediating role of vehicle ownership concerning the impact of urban sprawl on air pollution. The research in this paper arrives at three conclusions. First, urban sprawl has a significant positive effect on air pollution, and this conclusion is still valid after solving the endogeneity problem and conducting a robustness test. Second, the results of mediating effect test show that urban sprawl indirectly affects air pollution through the partial mediating effect of vehicle ownership. By removing the mediating effect, urban sprawl has a significant negative impact on air pollution, indicating that the mediating effect of vehicle ownership is higher concerning the impact of urban sprawl on air pollution. Third, further panel quantile regression results show that the higher the level of air pollution, the weaker the mediating effect of vehicle ownership and the stronger the direct effect of urban sprawl on air pollution. These conclusions can provide some empirical support for solving the air pollution problems caused by urban sprawl in China.
Aiping Tao; Qun Liang; Peng Kuai; Tao Ding. The Influence of Urban Sprawl on Air Pollution and the Mediating Effect of Vehicle Ownership. Processes 2021, 9, 1261 .
AMA StyleAiping Tao, Qun Liang, Peng Kuai, Tao Ding. The Influence of Urban Sprawl on Air Pollution and the Mediating Effect of Vehicle Ownership. Processes. 2021; 9 (8):1261.
Chicago/Turabian StyleAiping Tao; Qun Liang; Peng Kuai; Tao Ding. 2021. "The Influence of Urban Sprawl on Air Pollution and the Mediating Effect of Vehicle Ownership." Processes 9, no. 8: 1261.
Water and energy are critical resources for human well-being. The quantification and explanation of the water–energy nexus is important to enrich our understanding of sustainable utilization of water and energy resources in a unified framework. Herein, from the perspective of production efficiency, this study investigates the water–energy nexus in China’s industrial sector by developing a network data envelopment analysis (DEA) approach. Under two practical principles, we evaluate the water and energy usage efficiencies as well as give projection points in terms of industrial production and wastewater treatment processes for 30 provinces or urban areas in China during 2011–2015. The results show that the overall efficiency values of most provinces in the industrial water–energy nexus system are high although the efficiency value of each province fluctuates up and down in the sample period. When comparing two subsystems, for most provinces, the sub-efficiencies of the industrial production subsystem are relatively higher than those of the wastewater treatment subsystem under the economic priority principle or environment priority principle. Considering the projection points, the potential improvement space of the environment priority strategy is higher than that of the economic priority strategy. Based on the empirical results, relevant policy suggestions are provided to improve the provincial or urban industrial water–energy nexus system in reality.
Shizhi Liang; Yufei Huang; Tao Ding. Efficiency Evaluation and Projection Improvement of the Industrial Water–Energy Nexus in China Based on Network Data Envelopment Analysis. Frontiers in Energy Research 2021, 9, 1 .
AMA StyleShizhi Liang, Yufei Huang, Tao Ding. Efficiency Evaluation and Projection Improvement of the Industrial Water–Energy Nexus in China Based on Network Data Envelopment Analysis. Frontiers in Energy Research. 2021; 9 ():1.
Chicago/Turabian StyleShizhi Liang; Yufei Huang; Tao Ding. 2021. "Efficiency Evaluation and Projection Improvement of the Industrial Water–Energy Nexus in China Based on Network Data Envelopment Analysis." Frontiers in Energy Research 9, no. : 1.
With the rapid development of urban agglomerations (UAs), the contradiction between the shortage of land resources and the sustainable development has become increasingly apparent. Considering regional heterogeneity, this paper proposes a generalized non-radial meta-frontier DEA framework to measure the land use performance of 12 typical UAs covering 184 cities in China during 2006–2015. To be specific, this approach effectively avoids unreasonable technology gap ratio values in non-radial DEA models, and decomposes the land use performance loss into technology gaps and management inefficiency. The results show that 1) In terms of the efficiency values under meta-frontier, the land use performance of most UAs is relatively low, whereas the development of cities within each UA are balanced with high group efficiencies. 2) The technology levels of the 12 UAs are inconsistent, in which Yangtze River Delta UA equips with the most advanced technology while Southern Liaoning UA has the lowest technology level. 3) The improvement direction and potential efficiencies of cities also differ. Based on technical potential and management potential, the cities and UAs are divided into three categories. Finally, based on the assessment results, related policy implications to promote the land use performance of China's UAs are proposed.
Tao Ding; Jie Yang; Huaqing Wu; Liang Liang. Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach. Socio-Economic Planning Sciences 2021, 101090 .
AMA StyleTao Ding, Jie Yang, Huaqing Wu, Liang Liang. Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach. Socio-Economic Planning Sciences. 2021; ():101090.
Chicago/Turabian StyleTao Ding; Jie Yang; Huaqing Wu; Liang Liang. 2021. "Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach." Socio-Economic Planning Sciences , no. : 101090.