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As a common cardiovascular disease, atrial fibrillation has the characteristics of high morbidity, high disability, and high fatality rates, seriously endangering human health and sustainability. Some research has confirmed that environmental factors are related to the risk of illness and death from cardiovascular diseases (including atrial fibrillation), while there is still little comparison on the situation of the two cities in China. This research uses medical data in Shanghai and Kunming establishing, through two-step research, logistic models to compare the impacts on atrial fibrillation incidence to figure out the association between environmental factors (including air pollution, weather, temperature, and wind scales) and atrial fibrillation. Finally, this research shows that environmental impacts on atrial fibrillation prevalence have generality, regionality, and lagging characteristics. The result is significant for atrial fibrillation patients and provides a reliable medical theory basis for nursing measures. Besides, this research provides a prospective method of offering early warning for potential atrial fibrillation patients, helping to maintain human beings’ sustainable development.
Sha Lu; Yiyun Zhao; Zhouqi Chen; Mengke Dou; Qingchun Zhang; Weixin Yang. Association between Atrial Fibrillation Incidence and Temperatures, Wind Scale and Air Quality: An Exploratory Study for Shanghai and Kunming. Sustainability 2021, 13, 5247 .
AMA StyleSha Lu, Yiyun Zhao, Zhouqi Chen, Mengke Dou, Qingchun Zhang, Weixin Yang. Association between Atrial Fibrillation Incidence and Temperatures, Wind Scale and Air Quality: An Exploratory Study for Shanghai and Kunming. Sustainability. 2021; 13 (9):5247.
Chicago/Turabian StyleSha Lu; Yiyun Zhao; Zhouqi Chen; Mengke Dou; Qingchun Zhang; Weixin Yang. 2021. "Association between Atrial Fibrillation Incidence and Temperatures, Wind Scale and Air Quality: An Exploratory Study for Shanghai and Kunming." Sustainability 13, no. 9: 5247.
Air pollution is a common problem for many countries around the world in the process of industrialization as well as a challenge to sustainable development. This paper has selected Chengdu-Chongqing region of China as the research object, which suffers from severe air pollution and has been actively involved in air pollution control in recent years to achieve sustainable development. Based on the historical data of 16 cities in this region from January 2015 to November 2019 on six major air pollutants, this paper has first conducted evaluation on the monthly air quality of these cities within the research period by using Principal Component Analysis and the Technique for Order Preference by Similarity to an Ideal Solution. Based on that, this paper has adopted the Long Short-Term Memory neural network model in deep learning to forecast the monthly air quality of various cities from December 2019 to November 2020. The aims of this paper are to enrich existing literature on air pollution control, and provide a novel scientific tool for design and formulation of air pollution control policies by innovatively integrating commonly used evaluation models and deep learning forecast methods. According to the research results, in terms of historical evaluation, the air quality of cities in the Chengdu-Chongqing region was generally moving in the same trend in the research period, with distinct characteristics of cyclicity and convergence. Year- on-year speaking, the effectiveness of air pollution control in various cities has shown a visible improvement trend. For example, Ya’an’s lowest air quality evaluation score has improved from 0.3494 in 2015 to 0.4504 in 2019; Zigong’s lowest air quality score has also risen from 0.4160 in 2015 to 0.6429 in 2019. Based on the above historical evaluation and deep learning forecast results, this paper has proposed relevant policy recommendations for air pollution control in the Chengdu-Chongqing region.
Hao Gao; Weixin Yang; Jiawei Wang; Xiaoyun Zheng. Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China. Sustainability 2020, 13, 206 .
AMA StyleHao Gao, Weixin Yang, Jiawei Wang, Xiaoyun Zheng. Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China. Sustainability. 2020; 13 (1):206.
Chicago/Turabian StyleHao Gao; Weixin Yang; Jiawei Wang; Xiaoyun Zheng. 2020. "Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China." Sustainability 13, no. 1: 206.
At present, China’s air pollution and its treatment effect are issues of general concern in the academic circles. Based on the analysis of the development stages of air pollution in China and the development history of China’s air quality standards, we selected 17 cities of Shandong Province, China as the research objects. By expanding China’s existing Air Quality Index System, the air quality of six major pollutants including PM2.5 and PM10 in 17 cities from February 2017 to January 2020 is comprehensively evaluated. Then, with a forecast model, the air quality of the above cities in the absence of air pollution control policies since June 2018 was simulated. The results of the error test show that the model has a maximum error of 4.67% when simulating monthly assessment scores, and the maximum mean error of the four months is 3.17%. Through the comparison between the simulation results and the real evaluation results of air quality, we found that since June 2018, the air pollution control policies of six cities have achieved more than 10% improvement, while the air quality of the other 11 cities declined. The different characteristics of pollutants and the implementation of governance policies are perhaps the main reasons for the above differences. Finally, policy recommendations for the future air pollution control in Shandong and China were provided.
Bowen Jiang; Yuangang Li; Weixin Yang. Evaluation and Treatment Analysis of Air Quality Including Particulate Pollutants: A Case Study of Shandong Province, China. International Journal of Environmental Research and Public Health 2020, 17, 9476 .
AMA StyleBowen Jiang, Yuangang Li, Weixin Yang. Evaluation and Treatment Analysis of Air Quality Including Particulate Pollutants: A Case Study of Shandong Province, China. International Journal of Environmental Research and Public Health. 2020; 17 (24):9476.
Chicago/Turabian StyleBowen Jiang; Yuangang Li; Weixin Yang. 2020. "Evaluation and Treatment Analysis of Air Quality Including Particulate Pollutants: A Case Study of Shandong Province, China." International Journal of Environmental Research and Public Health 17, no. 24: 9476.
In order to study the energy supervision system of China, whistleblowers have been innovatively introduced into the game in this paper, and a tripartite evolutionary game model comprising of regulators, energy enterprises, and whistleblowers has been constructed. After solving the equilibrium points and the evolutionary stable strategy of each agent by the replicator dynamics equation, this paper has conducted a policy simulation on two evolutionary stable points in real life - strong supervision, active management, not blow the whistle and strong supervision, active management, blow the whistle. The results show that the initial probabilities of the tripartite game strategies will affect the time length and convergence speed of system evolution, but will not affect the overall trend and final result of the evolution. At the same time, there is a significant correlation between the probability of whistleblowing, probability of active management by energy enterprises and the probability of strong supervision. The percentage of false whistleblowing will also affect regulatory cost and management efficiency. While incorporating whistleblowing into their decision making, energy regulators should also take proper measures to increase the percentage of true whistleblowing on energy issues by the public, and urge energy enterprises to actively address the issues reported.
Yunpeng Yang; Weixin Yang; Hongmin Chen; Yin Li. China’s energy whistleblowing and energy supervision policy: An evolutionary game perspective. Energy 2020, 213, 118774 .
AMA StyleYunpeng Yang, Weixin Yang, Hongmin Chen, Yin Li. China’s energy whistleblowing and energy supervision policy: An evolutionary game perspective. Energy. 2020; 213 ():118774.
Chicago/Turabian StyleYunpeng Yang; Weixin Yang; Hongmin Chen; Yin Li. 2020. "China’s energy whistleblowing and energy supervision policy: An evolutionary game perspective." Energy 213, no. : 118774.
During the rapid economic development of China, there are certain blind decisions made in the use of land resources, which poses a significant threat to sustainable development. With the help of the improved convolutional neural network model, this paper analyzes the land use of the Beijing-Tianjin-Hebei region of China from 1995 to 2018, and provides a prediction for 2023. The research results show that: (1) There is still much room for improvement in the land use of the Beijing-Tianjin-Hebei region, with dry land taking up the largest proportion of land in these three locations; (2) Beijing’s development has been well protected in terms of land use. It is predicted that by 2023, the proportions of its woodland, grassland, and rivers, lakes, reservoirs and ponds would increase by 0.26%, 0.30%, and 0.61%, respectively, compared with their proportion in 2018; (3) the land use type in Tianjin during the research period was generally stable. In 2018, the proportion of its woodland and grassland had increased by 1.04% and 0.61%, respectively, compared with that of 1995; and (4) many ecological and environmental problems were exposed during the construction of highways in Hebei province. The area of sand land, saline-alkali land, marshland, bare land, and bare rock areas have all increased, and their total proportion is predicted to reach 1.48% by 2023.
Haojie Liu; Jinyue Liu; Weixin Yang; Jianing Chen; Mingyang Zhu. Analysis and Prediction of Land Use in Beijing-Tianjin-Hebei Region: A Study Based on the Improved Convolutional Neural Network Model. Sustainability 2020, 12, 3002 .
AMA StyleHaojie Liu, Jinyue Liu, Weixin Yang, Jianing Chen, Mingyang Zhu. Analysis and Prediction of Land Use in Beijing-Tianjin-Hebei Region: A Study Based on the Improved Convolutional Neural Network Model. Sustainability. 2020; 12 (7):3002.
Chicago/Turabian StyleHaojie Liu; Jinyue Liu; Weixin Yang; Jianing Chen; Mingyang Zhu. 2020. "Analysis and Prediction of Land Use in Beijing-Tianjin-Hebei Region: A Study Based on the Improved Convolutional Neural Network Model." Sustainability 12, no. 7: 3002.
By constructing a quadrilateral evolutionary game model involving the central government, local governments, polluting enterprises, and the public, this paper attempts to comprehensively analyze the development and implementation of China’s air pollution control policies. Through the quadrilateral evolutionary game model, this paper systematically studies the evolutionary stable strategies of the four parties involved and obtains 27 equilibrium points, strategy sets, and their corresponding policy performance with the help of the four-dimensional dynamic system. The research results show that there are five equilibrium points that represent the least ideal scenarios, 14 equilibrium points that represent the less than ideal scenarios, four equilibrium points that represent the ideal scenarios, three equilibrium points that represent the more than ideal scenarios, and one equilibrium point that represents the most ideal scenarios. By analyzing the eight equilibrium points that represent the ideal, more than ideal and most ideal scenarios, especially the four stable points, this paper has obtained the conditions as well as policy implications of the four stable points in China’s air pollution control campaign.
Weixin Yang; Yunpeng Yang. Research on Air Pollution Control in China: From the Perspective of Quadrilateral Evolutionary Games. Sustainability 2020, 12, 1756 .
AMA StyleWeixin Yang, Yunpeng Yang. Research on Air Pollution Control in China: From the Perspective of Quadrilateral Evolutionary Games. Sustainability. 2020; 12 (5):1756.
Chicago/Turabian StyleWeixin Yang; Yunpeng Yang. 2020. "Research on Air Pollution Control in China: From the Perspective of Quadrilateral Evolutionary Games." Sustainability 12, no. 5: 1756.
As a developing country with insufficient water resources, China’s water environment management and performance evaluation have important research value. The three provinces (Henan, Hubei, and Hunan) in central China with typical significance in geographical location and water resources governance were selected as research objects in this paper. Based on the principal component analysis (PCA) method and the pressure-state-response (PSR) model, a comprehensive evaluation system for the water environment in those three provinces during 2011–2017 was established in this paper. The evaluation results show that: (1) The water environment management and performance evaluation of the three provinces in central China were generally poor in 2011–2012, but the overall trend was rising; (2) in 2013–2014, the situation was improved compared to the previous two years, but needed further enhancement; (3) in 2015–2017, the water environment management and performance of the three provinces showed significant improvement. Among them, the Hubei Province had the highest water environment evaluation value (1.692), and the Henan Province had the most significant progress (from 0.043 to 1.671). The contributions of this paper are: (1) The comprehensive evaluation model based on PCA and the PSR model was constructed to analyze the sustainable development of water environment in central China; (2) the performance evaluation system for water environment management, which could comprehensively evaluate the performance of water environment treatment and effectively reveal the correlation between various indicators, was established. The principal factors in water environment management can be obtained by this evaluation system. Based on the analysis of the reasons underlying the above changes, the corresponding policy recommendations for improving water environment management and performance in central China were suggested in order to provide a reference for further improvement of water environment management in developing countries.
Yuangang Li; Weixin Yang; Xiaojuan Shen; Guanghui Yuan; Jiawei Wang. Water Environment Management and Performance Evaluation in Central China: A Research Based on Comprehensive Evaluation System. Water 2019, 11, 2472 .
AMA StyleYuangang Li, Weixin Yang, Xiaojuan Shen, Guanghui Yuan, Jiawei Wang. Water Environment Management and Performance Evaluation in Central China: A Research Based on Comprehensive Evaluation System. Water. 2019; 11 (12):2472.
Chicago/Turabian StyleYuangang Li; Weixin Yang; Xiaojuan Shen; Guanghui Yuan; Jiawei Wang. 2019. "Water Environment Management and Performance Evaluation in Central China: A Research Based on Comprehensive Evaluation System." Water 11, no. 12: 2472.
In the study of the sustainable development of public health in China, academic circles have little to do with the unique hierarchical medical system and online appointment diagnosis system in China’s medical system. Therefore, based on the medical situation in Shanghai, China, in addition to the traditional dimension of medical expenses, this paper fully considers the impact of the current hierarchical medical policy, constructs a selection model for medical treatment behavior under the hierarchical medical system and online appointment diagnosis system, and carries out simulation analysis through the cellular automata grid dynamic model. This paper finds that the time-cost-oriented medical treatment behavior of Chinese patients will have different distribution under the current hierarchical medical system and online appointment diagnosis system. (1) When the medical treatment system neither allows online appointment nor referral, a large number of patients congregated in high-grade hospitals, with the most unreasonable distribution. (2) With the implementation of the system of allowing referral and online appointment, patients are gradually diverted to lower-grade hospitals or off-peak hours, and the distribution is relatively improved. (3) If the medical treatment system allows both referral and online appointment, the distribution of patients is the most reasonable. Therefore, China’s current hierarchical medical system and online appointment diagnosis system will, to a considerable extent, become a policy tool that affects patients’ choice of hospitals and an effective means to achieve the rational allocation of existing medical resources, which will play an important role in the sustainable development of public health in China.
Xiaojuan Shen; Weixin Yang; Shaorong Sun. Analysis of the Impact of China’s Hierarchical Medical System and Online Appointment Diagnosis System on the Sustainable Development of Public Health: A Case Study of Shanghai. Sustainability 2019, 11, 6564 .
AMA StyleXiaojuan Shen, Weixin Yang, Shaorong Sun. Analysis of the Impact of China’s Hierarchical Medical System and Online Appointment Diagnosis System on the Sustainable Development of Public Health: A Case Study of Shanghai. Sustainability. 2019; 11 (23):6564.
Chicago/Turabian StyleXiaojuan Shen; Weixin Yang; Shaorong Sun. 2019. "Analysis of the Impact of China’s Hierarchical Medical System and Online Appointment Diagnosis System on the Sustainable Development of Public Health: A Case Study of Shanghai." Sustainability 11, no. 23: 6564.
The evaluation of China’s air pollution and the effectiveness of its governance policies is currently a topic of general concern in the academic community. We have improved the traditional evaluation method to construct a comprehensive air quality assessment model based on China’s major air pollutants. Using the daily air pollutant data of 2015–2018, we calculated and analyzed the monthly air quality of nine cities in the Pearl River Delta of China, and conducted a comparative study on the effect of the air pollution control policies of the cities in the Pearl River Delta. We found that the air quality control policies in those nine cities were not consistent. Specifically, the pollution control policies of Guangzhou and Foshan have achieved more than 20% improvement. The pollution control policies of Dongguan and Zhaoqing have also achieved more than 10% improvement. However, due to the relative lag of the formulation and implementation of air pollution control policies, the air quality of Jiangmen, Zhuhai and Zhongshan has declined. Based on the analysis of the air quality assessment results and the effects of governance policies in each city during the study period, we propose suggestions for further improvement of the effectiveness of air pollution control policies in the region.
Hao Gao; Weixin Yang; Yunpeng Yang; Guanghui Yuan. Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018. Atmosphere 2019, 10, 412 .
AMA StyleHao Gao, Weixin Yang, Yunpeng Yang, Guanghui Yuan. Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018. Atmosphere. 2019; 10 (7):412.
Chicago/Turabian StyleHao Gao; Weixin Yang; Yunpeng Yang; Guanghui Yuan. 2019. "Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018." Atmosphere 10, no. 7: 412.
In order to optimize the economic dispatching of the electric power system, this paper has proposed a new Hybrid Intelligent Algorithm based on the Particle Swarm Optimization (PSO) and Artificial Fish Swarm Algorithm (AFSA). Basing on a comprehensive dispatching optimization model with the goal of minimizing coal consumption, pollution emission and purchasing cost, we have utilized this Hybrid Intelligent Algorithms to solve the integrated weighted dispatching optimization model for five units and ten units respectively, considering the node flow balance of the power system, as well as the system's active power balance, positive and negative reserve constraints, transmission capacity constraints, unit output constraints, node voltage constraints, unit output power rise rate constraints, unit minimum runtime and downtime constraints, etc. The calculation results in the case study of five units are that coal consumption is 10,074.17 hundred-yuan, carbon emission is 11,280.75 kg, and electric power cost is 12,827.54 hundred-yuan. The calculation results in the case study of ten units, given a population size of 200, are that coal consumption is 31,305.45 hundred-yuan, carbon emission is 13,982.06 kg, and electric power cost is 16,754.79 hundred-yuan; while given a population size of 30, coal consumption is 29,221.16 hundred-yuan, carbon emission is 10,921.21 kg, and electric power cost is 16,521.56 hundred-yuan. Moreover, we have obtained the above results with an improvement of 35.56% in calculation efficiency.
Guanghui Yuan; Weixin Yang. Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA). Energy 2019, 183, 926 -935.
AMA StyleGuanghui Yuan, Weixin Yang. Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA). Energy. 2019; 183 ():926-935.
Chicago/Turabian StyleGuanghui Yuan; Weixin Yang. 2019. "Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA)." Energy 183, no. : 926-935.
This paper calculated and evaluated the air quality of 13 cities in China’s Beijing-Tianjin-Hebei (BTH) region from February 2015 to January 2018 based on the extended AQI (Air Quality Index) Indicator System. By capturing the heterogeneous information in major pollutant indicators and the standardization process, we depicted the important effect of other relevant features of pollutant indicators beyond single-point data. Based on that, we further calculated the assessment value of the air quality of different cities in the BTH region by using the Collaborative Filtering Backward Cloud Model to construct differentiated weights of different indicators. With help of the Back Propagation (BP) Neutral Network, we simulated the effect of the pollution control policies of the Chinese government targeting air pollution since March 2016. Our conclusion is: the pollution control policies have improved the air quality of Beijing by 55.74%, and improved the air quality of Tianjin by 34.38%; while the migration of polluting enterprises from Beijing and Tianjin has caused different changes in air quality in different cities of Hebei province—we saw air quality deterioration by 58.60% and 38.68% in Shijiazhuang and Handan city respectively.
Guanghui Yuan; Weixin Yang. Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region. Sustainability 2019, 11, 939 .
AMA StyleGuanghui Yuan, Weixin Yang. Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region. Sustainability. 2019; 11 (3):939.
Chicago/Turabian StyleGuanghui Yuan; Weixin Yang. 2019. "Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region." Sustainability 11, no. 3: 939.
During China’s air pollution campaign, whistleblowing has become an important way for the central government to discover local environmental issues. The three parties involved in whistleblowing are: the central government environmental protection departments, the local government officials, and the whistleblowers. Based on these players, this paper has constructed an Evolutionary Game Model under incomplete information and introduced the expected return as well as replicator dynamics equations of various game agents based on analysis of the game agents, assumptions, and payoff functions of the model in order to study the strategic dynamic trend and stability of the evolutionary game model. Furthermore, this paper has conducted simulation experiments on the evolution of game agents’ behaviors by combining the constraints and replicator dynamics equations. The conclusions are: the central environmental protection departments are able to effectively improve the environmental awareness of local government officials by measures such as strengthening punishment on local governments that do not pay attention to pollution issues and lowering the cost of whistleblowing, thus nurturing a good governance and virtuous circle among the central environmental protection departments, local government officials, and whistleblowers. Based on the study above, this paper has provided policy recommendations in the conclusion.
Yunpeng Yang; Weixin Yang. Does Whistleblowing Work for Air Pollution Control in China? A Study Based on Three-party Evolutionary Game Model under Incomplete Information. Sustainability 2019, 11, 324 .
AMA StyleYunpeng Yang, Weixin Yang. Does Whistleblowing Work for Air Pollution Control in China? A Study Based on Three-party Evolutionary Game Model under Incomplete Information. Sustainability. 2019; 11 (2):324.
Chicago/Turabian StyleYunpeng Yang; Weixin Yang. 2019. "Does Whistleblowing Work for Air Pollution Control in China? A Study Based on Three-party Evolutionary Game Model under Incomplete Information." Sustainability 11, no. 2: 324.
After decades of economic development in China, its energy consumption still relies heavily on coal, and the dominant segment of our economy—the industrial sectors with large coal input—have caused massive wastewater pollution. To provide a decision-making basis for the sustainable development of Chinese industry and economy, this paper selected 39 industrial sectors in China and studied their Total Factor Efficiency (TFE) using Dual Target Variables of coal input and wastewater control during 2003–2014. The results showed that 82.05% of the total industries within our study scope had an efficiency level below 0.5. Over the entire study period of 2003–2014, only the national monopoly industries and high and new tech industries were able to maintain the optimal efficiency level. In comparison with the existing Data Envelope Analysis (DEA) Model and studies on TFE using multi-target variables methods, this paper has probably made two improvements. First, we improved the original DEA model to calculate the TFE of two target variables (coal input and wastewater control) at the same time. Second, we developed an algorithm to calculate the TFE of industrial coal input and wastewater control from 2003 to 2014, based on the official input-output statistics of China.
Lingguang Li; Weixin Yang. Total Factor Efficiency Study on China’s Industrial Coal Input and Wastewater Control with Dual Target Variables. Sustainability 2018, 10, 2121 .
AMA StyleLingguang Li, Weixin Yang. Total Factor Efficiency Study on China’s Industrial Coal Input and Wastewater Control with Dual Target Variables. Sustainability. 2018; 10 (7):2121.
Chicago/Turabian StyleLingguang Li; Weixin Yang. 2018. "Total Factor Efficiency Study on China’s Industrial Coal Input and Wastewater Control with Dual Target Variables." Sustainability 10, no. 7: 2121.
With increasing emissions of industrial wastewater and poor control measures, environmental pollution has become a serious issue haunting China’s economic development. Meanwhile, the current pollution management policy system in China is mainly under the supervision of the central government and executed by local governments. Under the current economic growth model of China, the industrial sector remains the dominant segment of our economy, which makes the Total Factor Efficiency (TFE) evaluation and policy analysis of industrial wastewater control decisive factors concerning China’s future economic growth and sustainable development. Based on existing studies of China and abroad, and with the help of a Data Envelope Analysis (DEA) model, this paper used 39 industrial sectors and their input-output data from 2003 to 2014 of China as Decision Making Units to calculate the TFE of wastewater control in different industrial sectors of China. Moreover, we have designed and adopted our own MATLAB programming for optimization solutions of multi-variable constrained nonlinear functions in order to obtain a more accurate estimation of the TFE of wastewater control. Based on our calculation results, this paper further explained the difference in TFE and policy implications across typical industries in China, and offered policy recommendations accordingly.
Weixin Yang; Lingguang Li. Efficiency Evaluation and Policy Analysis of Industrial Wastewater Control in China. Energies 2017, 10, 1201 .
AMA StyleWeixin Yang, Lingguang Li. Efficiency Evaluation and Policy Analysis of Industrial Wastewater Control in China. Energies. 2017; 10 (8):1201.
Chicago/Turabian StyleWeixin Yang; Lingguang Li. 2017. "Efficiency Evaluation and Policy Analysis of Industrial Wastewater Control in China." Energies 10, no. 8: 1201.
One of the serious issues that China faces during its fast economic development is the low input–output efficiency of water and energy resources and growing water pollution. With the current economic development model of China, economic growth still requires large input of water resource and energy resource. This paper has focused on the total factor efficiency of water resource and energy resource by each province in China. We treat the undesirable outputs as outputs in the DEA-SBM Model instead of as inputs in previous studies, and design a new MATLAB programming to achieve optimization solutions of multi-variable constrained nonlinear functions to evaluate the Total Factor Efficiency of Water resource (TFEW) and the Total Factor Efficiency of Energy (TFEE) in China accurately. By using the method, this paper has analyzed the TFEW and TFEE in China from 2003 to 2014 by economic zones and typical provinces and provided corresponding policy recommendations.
Weixin Yang; Lingguang Li. Analysis of Total Factor Efficiency of Water Resource and Energy in China: A Study Based on DEA-SBM Model. Sustainability 2017, 9, 1316 .
AMA StyleWeixin Yang, Lingguang Li. Analysis of Total Factor Efficiency of Water Resource and Energy in China: A Study Based on DEA-SBM Model. Sustainability. 2017; 9 (8):1316.
Chicago/Turabian StyleWeixin Yang; Lingguang Li. 2017. "Analysis of Total Factor Efficiency of Water Resource and Energy in China: A Study Based on DEA-SBM Model." Sustainability 9, no. 8: 1316.
Low energy efficiency and severe environmental pollution are two growing issues haunting China’s fast economic development. Under China’s current development model, economic growth still heavily depends on massive energy input, which makes energy efficiency one crucial topic in order to secure future sustainable development of China. This paper focuses on the unique energy ownership structure of China, and designs and adopts MATLAB programming for optimization solutions of multi-variable constrained nonlinear functions to obtain results that can better reflect China’s energy efficiency and solutions to sustainable development of China. Using this model, this paper conducts an empirical analysis on the impact of difference energy investment behaviors between China’s state-owned entities and non-state-owned business on China’s Total Factor Energy Efficiency (TFEE) and sustainable development from 2003 to 2014. We find that Beijing and Shanghai represent the highest energy efficiency level in China. However, except for the more developed regions in Eastern China, for other provinces in Northeast China, Central China and Western China, the TFEE of energy investment by state-owned and non-state-owned economies are both quite low compared with the optimal level. Based on the above findings from the empirical study and detailed analysis by region, this paper discusses the possible reasons for China’s low TFEE and provides implications and policy recommendations.
Weixin Yang; Lingguang Li. Energy Efficiency, Ownership Structure, and Sustainable Development: Evidence from China. Sustainability 2017, 9, 912 .
AMA StyleWeixin Yang, Lingguang Li. Energy Efficiency, Ownership Structure, and Sustainable Development: Evidence from China. Sustainability. 2017; 9 (6):912.
Chicago/Turabian StyleWeixin Yang; Lingguang Li. 2017. "Energy Efficiency, Ownership Structure, and Sustainable Development: Evidence from China." Sustainability 9, no. 6: 912.