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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.
Purpose The purpose of this paper is to examine the industrial production efficiency, pollution treatment efficiency, total factor energy efficiency and water efficiency in China with the consideration of technological innovation. This study also explores the distribution proportion of technological innovation between industrial production substage and pollution treatment substage. Design/methodology/approach A nonparametric method, data envelopment analysis (DEA), is used as the model foundation of this study. Specifically, a novel two-stage range-adjusted measure (RAM-DEA) with shared inputs is constructed to analyze the China’s industrial system. In this study, the panel data of 30 provinces from 2008 to 2015 are used. Findings This study found that although the current environmental regulation reduced the efficiency of industrial production, it could significantly improve the pollution treatment level. However, the lack of pollution treatment capacity was still an obstacle for development of China's industrial system. Compared with the total factor energy efficiency, the total factor water efficiency had more room for improvement. The optimal distribution of technological innovation in the two substages performed little change and the distribution roughly followed the “three-seven principle”. Practical implications More attention should be paid to improve the pollution treatment level and total factor water efficiency. And more R&D expenditure should be used in the industrial production substage in the eastern coastal areas, while in the inland areas, more R&D expenditure should be used in the pollution treatment substage. Originality/value This study proposed a model to environmental efficiency score with considering interval data under two-stage evaluation structure, which could strengthen the theory and expand the application scope of DEA approach.
Meiqiang Wang; Yingwen Chen; Zhixiang Zhou. Assessing environmental efficiency of China’s industry system using two-stage range-adjusted measure model. Management of Environmental Quality: An International Journal 2021, ahead-of-p, 1 .
AMA StyleMeiqiang Wang, Yingwen Chen, Zhixiang Zhou. Assessing environmental efficiency of China’s industry system using two-stage range-adjusted measure model. Management of Environmental Quality: An International Journal. 2021; ahead-of-p (ahead-of-p):1.
Chicago/Turabian StyleMeiqiang Wang; Yingwen Chen; Zhixiang Zhou. 2021. "Assessing environmental efficiency of China’s industry system using two-stage range-adjusted measure model." Management of Environmental Quality: An International Journal ahead-of-p, no. ahead-of-p: 1.
The economy in China has gradually transformed from a stage of high-speed development into one of high-quality development. The current study considers the economic environment, energy saving, and pollution treatment in an integrated way to measure eco-efficiency and external environmental heterogeneity. A modified three-phase data envelopment analysis (DEA) model is constructed to measure ecological efficiency while eliminating interference from both statistical noise and the external environment. The first phase uses a two-stage production structure DEA model considering nondiscretionary input and undesirable output. The model was applied to data for the year 2015 in 30 administrative regions in China, including municipalities, provinces, and autonomous regions. The results of this study show that many factors influence these regions’ eco-efficiency in China, including the levels of economic development, technological innovation, environmental regulation, and industrial structure. Finally, implications and suggestions are given to provincial governments from the perspectives of different industries and of provincial ecological–economic development.
Hongwei Liu; Ronglu Yang; Zhixiang Zhou; Dacheng Huang. Regional Green Eco-Efficiency in China: Considering Energy Saving, Pollution Treatment, and External Environmental Heterogeneity. Sustainability 2020, 12, 7059 .
AMA StyleHongwei Liu, Ronglu Yang, Zhixiang Zhou, Dacheng Huang. Regional Green Eco-Efficiency in China: Considering Energy Saving, Pollution Treatment, and External Environmental Heterogeneity. Sustainability. 2020; 12 (17):7059.
Chicago/Turabian StyleHongwei Liu; Ronglu Yang; Zhixiang Zhou; Dacheng Huang. 2020. "Regional Green Eco-Efficiency in China: Considering Energy Saving, Pollution Treatment, and External Environmental Heterogeneity." Sustainability 12, no. 17: 7059.
Road transportation has been playing an irreplaceable role in the process of pursuing sustainable development. This study employs a Global Malmquist-Luenberger Index approach to evaluate the green productivity growth of this industry at the provincial level based on the Data Envelopment Analysis and Directional Distance Function. Further, it decomposes green productivity growth into changes in various types of efficiency and technological progress. Finally, this study structures a novel quadrant matrix analysis framework based on the green productivity growth rate and stability, using the matrix to analyze the performance of provincial road transportation industries. This analysis results show that: (1) a fluctuating and slowly upward trend of green productivity over time exists; (2) at the regional level, the road transportation industries in Western and Central China achieved green productivity growth because of the catch-up effect and the economies of scale, respectively; (3) the green productivity in China’s Eastern area (the most developed area) declined, giving opportunities for improvement in both technology and efficiency; and (4) the southeast coast and border provinces showed large fluctuations in terms of green productivity of road transportation because of the impact of foreign trade environment. Implications for transportation system planning are provided based on the results.
Hongwei Liu; Ronglu Yang; Dongdong Wu; Zhixiang Zhou. Green productivity growth and competition analysis of road transportation at the provincial level employing Global Malmquist-Luenberger Index approach. Journal of Cleaner Production 2020, 279, 123677 .
AMA StyleHongwei Liu, Ronglu Yang, Dongdong Wu, Zhixiang Zhou. Green productivity growth and competition analysis of road transportation at the provincial level employing Global Malmquist-Luenberger Index approach. Journal of Cleaner Production. 2020; 279 ():123677.
Chicago/Turabian StyleHongwei Liu; Ronglu Yang; Dongdong Wu; Zhixiang Zhou. 2020. "Green productivity growth and competition analysis of road transportation at the provincial level employing Global Malmquist-Luenberger Index approach." Journal of Cleaner Production 279, no. : 123677.
In recent decades, the high-speed development in China has caused serious air pollution in China. The present paper proposes a stochastic data envelopment analysis (DEA) model based on a general two-stage structure with comprehensively considering the randomness in both desirable and undesirable outputs to calculate the environmental efficiency of the industry system. The new proposed model is more applicable to practical system, and is applied to evaluate the performance of production and waste gas treatment in the industrial sector for China’s regions along the “One Belt and One Road” in 2015. The results show that about half of the regions along “One Belt and One Road” in China are inefficient, where the performance on waste gas treatment is significantly worse than that of industrial production. Further, the managers should take different strategies for efficiency improvement in different areas because of the obvious differences in efficiency scores, in which the regions in the southeast area should pay more attention to improving waste gas treatment efficiency while that in the northwest area need to focus on industrial production efficiency.
Meiqiang Wang; Yingwen Chen; Zhixiang Zhou. A Novel Stochastic Two-Stage DEA Model for Evaluating Industrial Production and Waste Gas Treatment Systems. Sustainability 2020, 12, 2316 .
AMA StyleMeiqiang Wang, Yingwen Chen, Zhixiang Zhou. A Novel Stochastic Two-Stage DEA Model for Evaluating Industrial Production and Waste Gas Treatment Systems. Sustainability. 2020; 12 (6):2316.
Chicago/Turabian StyleMeiqiang Wang; Yingwen Chen; Zhixiang Zhou. 2020. "A Novel Stochastic Two-Stage DEA Model for Evaluating Industrial Production and Waste Gas Treatment Systems." Sustainability 12, no. 6: 2316.
The phenomena of “large energy consumption, high carbon emission, and serious environmental pollution” are against the goals of “low energy consumption, low emissions” in China’s industrial sector. The key to solving the problem lies in improving total factor energy efficiency (TFEE) and carbon emission efficiency (TFCE). Considering the heterogeneity of different sub-industries, this paper proposes a three-stage global meta-frontier slacks-based measure (GMSBM) method for measuring TFEE and TFCE, as well as the technology gap by combining meta-frontier technology with slacks-based measure (SBM) using data envelopment analysis (DEA). DEA can effectively avoid the situation where the technology gap ratio (TGR) is larger than unity. This paper uses the three-stage method to empirically analyze TFEE and TFCE of Anhui’s 38 industrial sub-industries in China from 2012 to 2016. The main findings are as follows: (1) Anhui’s industrial sector has low TFEE and TFCE, which has great potential for improvement. (2) TFEE and TFCE of light industry are lower than those of heavy industry under group-frontier, while they are higher than those of heavy industry under meta-frontier. There is a big gap in TFEE and TFCE among sub-industries of light industry. Narrowing the gap among different sub-industries of light industry is conducive to the overall improvement in TFEE and TFCE. (3) The TGR of light industry is significantly higher than that of heavy industry, indicating that there are sub-industries with the most advanced energy use and carbon emission technologies in light industry. And there is a bigger carbon-emitting technology gap in heavy industry, so it needs to encourage technology spillover from light industry to heavy industry. (4) The total performance loss of industrial sub-industries in Anhui mainly comes from management inefficiency, so it is necessary to improve management and operational ability. Based on the findings, some policy implications are proposed.
Ya Chen; Wei Xu; Qian Zhou; Zhixiang Zhou. Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China. Sustainability 2020, 12, 1402 .
AMA StyleYa Chen, Wei Xu, Qian Zhou, Zhixiang Zhou. Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China. Sustainability. 2020; 12 (4):1402.
Chicago/Turabian StyleYa Chen; Wei Xu; Qian Zhou; Zhixiang Zhou. 2020. "Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China." Sustainability 12, no. 4: 1402.
Higher education plays a significant role in economic growth and social development. However, the uneven development of higher education in China has become an important factor restricting its overall progress. Traditional data envelopment analysis (DEA) models used by previous studies are deterministic and susceptible to the impacts of measurement errors and the omission of unobserved but potentially relevant variables, which we referred to as environmental variables latter. To address both of these drawbacks, we develop and implement a three-stage DEA model to examine the efficiency of China’s mainland 31 provinces’ Higher Education Institutions (HEIs) in 2016, which fills the gap in the efficiency evaluation of HEIs in all provinces of China. The “real” efficiency about management performance of each province’s HEIs is obtained and decomposed after the impacts of environmental variables and random errors are eliminated. Lastly, relevant policy suggestions are given on how to improve the efficiency of each province’s HEIs.
Jie Wu; Ganggang Zhang; Qingyuan Zhu; Zhixiang Zhou. An efficiency analysis of higher education institutions in China from a regional perspective considering the external environmental impact. Scientometrics 2019, 122, 57 -70.
AMA StyleJie Wu, Ganggang Zhang, Qingyuan Zhu, Zhixiang Zhou. An efficiency analysis of higher education institutions in China from a regional perspective considering the external environmental impact. Scientometrics. 2019; 122 (1):57-70.
Chicago/Turabian StyleJie Wu; Ganggang Zhang; Qingyuan Zhu; Zhixiang Zhou. 2019. "An efficiency analysis of higher education institutions in China from a regional perspective considering the external environmental impact." Scientometrics 122, no. 1: 57-70.
In Africa, energy plays an important role in the processes of economic and sustainable development. However, inefficiency such as mismanagement of resources constrains productivity. Prior energy efficiency studies in Africa have failed to provide the paths through which energy efficiency improvement can be achieved. The current study aims to assess energy efficiency improvement among 25 selected countries in Africa. First, the dynamic slack-based measure (DSBM) data envelopment analysis (DEA) model is applied to gauge the efficiency measurement. Further, the Malmquist productivity index (MPI) is employed to investigate the energy efficiency improvement during 2006–2014. Empirically, the results from the dynamic slack-based measure (DSBM) model show that energy efficiency in Africa is generally low. Also, the findings from the MPI suggest there is no significant improvement in energy efficiency in Africa. Based on the estimated results, some energy efficiency improvement strategies are further proposed for sample countries in Africa.
Nelson Amowine; Zhiqiang Ma; Mingxing Li; Zhixiang Zhou; Benjamin Azembila Asunka; James Amowine. Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach. Energies 2019, 12, 3915 .
AMA StyleNelson Amowine, Zhiqiang Ma, Mingxing Li, Zhixiang Zhou, Benjamin Azembila Asunka, James Amowine. Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach. Energies. 2019; 12 (20):3915.
Chicago/Turabian StyleNelson Amowine; Zhiqiang Ma; Mingxing Li; Zhixiang Zhou; Benjamin Azembila Asunka; James Amowine. 2019. "Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach." Energies 12, no. 20: 3915.
With the rapid economic growth and water consumption, the study on measuring the environmental efficiency of water use and wastewater emission has attracted increasing attention. This paper constructs a new non-radial directional distance function to separately scale the performance of water use and wastewater emission in more accurate way, that is also feasible to evaluate the effects of technology heterogeneities on environmental efficiency based on meta-frontier analysis. An application study of 31 Chinese provinces from 2011 to 2015 was done after constructing two numerical examples to show the use of models. The empirical results of the study reveal that: (1) There exist significant group-heterogeneity across different areas in China, in which the eastern area performs best while the average technology gap of central and western areas are 51% and 34%; (2) The performance on water use is better than wastewater emission, China's provinces need to produce additional 11.25% desirable outputs and decrease 19.46% wastewater emission based on the input level in 2015. Moreover, this paper calculates the efficiency scores and provides targets for performance improvement for each province in different years. Policy implications indicate that the environmental efficiency of industrial water in China is mostly related to technological heterogeneity in different regions. Therefore, the managers need to set different standards to evaluate the performance of provinces in different areas.
Zhixiang Zhou; Huaqing Wu; Pingfan Song. Measuring the resource and environmental efficiency of industrial water consumption in China: A non-radial directional distance function. Journal of Cleaner Production 2019, 240, 118169 .
AMA StyleZhixiang Zhou, Huaqing Wu, Pingfan Song. Measuring the resource and environmental efficiency of industrial water consumption in China: A non-radial directional distance function. Journal of Cleaner Production. 2019; 240 ():118169.
Chicago/Turabian StyleZhixiang Zhou; Huaqing Wu; Pingfan Song. 2019. "Measuring the resource and environmental efficiency of industrial water consumption in China: A non-radial directional distance function." Journal of Cleaner Production 240, no. : 118169.
Purpose The purpose of this paper is to study where to place industrial solid waste treatment centers among the 16 prefecture-level cities under its jurisdiction. Design/methodology/approach This paper adopts the cross-efficiency data envelopment analysis (DEA) model, with the industrial land price and average annual salary per capita as inputs, while coverage, total transportation distance, number of industrial enterprises and total amount of industrial solid waste are used as outputs. Findings Based on the spatial efficiency scores calculated by using the new presented models, the authors find that the most efficient construction site are Chizhou, Chuzhou, Suzhou and Bengbu. That is quite different from the results obtained by using traditional approach. Originality/value This paper evaluates the spatial efficiency by using combinations of the four locations as the decision-making units of the DEA model, which could be used as an objective way to allocate limited resource. In addition to the resource allocation of the industrial solid waste treatment center, the method in this paper can also be applied to other spatial aspects of resource allocation.
Jie Wu; Wanting Zhang; Zhixiang Zhou. Construction resource allocation for industrial solid waste treatment centers in cities of Anhui Province, China. Management of Environmental Quality: An International Journal 2019, 30, 1190 -1202.
AMA StyleJie Wu, Wanting Zhang, Zhixiang Zhou. Construction resource allocation for industrial solid waste treatment centers in cities of Anhui Province, China. Management of Environmental Quality: An International Journal. 2019; 30 (5):1190-1202.
Chicago/Turabian StyleJie Wu; Wanting Zhang; Zhixiang Zhou. 2019. "Construction resource allocation for industrial solid waste treatment centers in cities of Anhui Province, China." Management of Environmental Quality: An International Journal 30, no. 5: 1190-1202.
An increasing amount of resources is being utilized to combat the pollution problem in China. Measuring and improving the efficiency of this resource allocation is an effective way to promote pollution treatment at the present technical level. This paper utilizes a two-stage data envelopment analysis (DEA) model to attain allocation results based on the zero-sum gain and fixed-sum gain assumptions. We divide all the inputs into discretionary and non-discretionary inputs and construct two models for allocating resources based on the environmental efficiency scores. The new models are applied to calculate the performance and resource allocation scheme of 30 Chinese provinces from 2011 to 2015. Most provinces are inefficient at controlling pollution emission or treating pollution while using the given level of input resources. Based on the production possibility set of each province in 2015, the processing capacity of wastewater and gas could be increased by 1% and 3%, respectively, by reallocating resources for pollution treatment among different provinces. Environmental efficiency scores and resource allocation plans based on various assumptions are obtained in this paper to enlighten the corresponding decision-makers.
Jiajia Zhang; Qiang Wu; Zhixiang Zhou. A two-stage DEA model for resource allocation in industrial pollution treatment and its application in China. Journal of Cleaner Production 2019, 228, 29 -39.
AMA StyleJiajia Zhang, Qiang Wu, Zhixiang Zhou. A two-stage DEA model for resource allocation in industrial pollution treatment and its application in China. Journal of Cleaner Production. 2019; 228 ():29-39.
Chicago/Turabian StyleJiajia Zhang; Qiang Wu; Zhixiang Zhou. 2019. "A two-stage DEA model for resource allocation in industrial pollution treatment and its application in China." Journal of Cleaner Production 228, no. : 29-39.
The rapid economic development of China has intensified the country’s many problems. Among them, energy shortage and environmental pollution are two main problems, which highly affects the economic growth and sustainable development. To achieve more rapid green growth, the innovative technology by reusing the environmental wastes has been widely used since doing so not only decreases the environment pollution, but also further brings more natural resource. The present paper establishes a two-stage structure for evaluating the regional green growth and sustainable development in China by calculating the efficiency of “energy saving” and “pollution treatment” separately. Specifically, a set of models based on slack-based measure approach are constructed in which non-discretionary inputs can be calculated in both resource utilization stage and pollution treatment stage. Comparing with the traditional models, the new proposed models can measure the performance of resources saving and pollution treatment with considering the influence of non-discretionary inputs. An empirical application on Chinese 30 regions during 2011–2015 have been done to illustrate the use of our framework and the performance of regional green growth and sustainable development. Based on the efficiency results, we find that the efficiency scores of the provinces in central and northeast area are lower, which is mostly caused by their poor performance on “pollution treatment”. Both the environmental efficiency scores and target values for performance improvement are obtained in this paper to enlighten the corresponding decision-makers.
Jie Wu; Dacheng Huang; Zhixiang Zhou; Qingyuan Zhu. The regional green growth and sustainable development of China in the presence of sustainable resources recovered from pollutions. Annals of Operations Research 2019, 290, 27 -45.
AMA StyleJie Wu, Dacheng Huang, Zhixiang Zhou, Qingyuan Zhu. The regional green growth and sustainable development of China in the presence of sustainable resources recovered from pollutions. Annals of Operations Research. 2019; 290 (1-2):27-45.
Chicago/Turabian StyleJie Wu; Dacheng Huang; Zhixiang Zhou; Qingyuan Zhu. 2019. "The regional green growth and sustainable development of China in the presence of sustainable resources recovered from pollutions." Annals of Operations Research 290, no. 1-2: 27-45.
One of the hot topics is how to achieve more accurate results of economic and environmental efficiency evaluation in China. Previous data envelopment analysis (DEA) literature on environmental performance measurement often follow the concept of non-radial efficiency measure for calculating the performance on resources and economic-environmental factors respectively. This paper proposes a non-radial and multi-objective generalized DEA model for economic-environmental efficiency evaluation. The results illustrate that this model can not only analyze the relationship between DEA efficiency and Pareto optimality of the multi-objective programming problem defined on the production possibility set, but also obtain the performance improvement direction by using the projection of decision making units. Finally, a case on measuring the economic-environmental performance of Chinese provincial regions is employed to indicate that the proposed model can be helpful to promote the accuracy of economic-environmental efficiency evaluation.
Tao Ding; Zhixiang Zhou; Qianzhi Dai; Liang Liang. Analysis of China’s Regional Economic Environmental Performance: A Non-radial Multi-objective DEA Approach. Computational Economics 2019, 55, 1209 -1231.
AMA StyleTao Ding, Zhixiang Zhou, Qianzhi Dai, Liang Liang. Analysis of China’s Regional Economic Environmental Performance: A Non-radial Multi-objective DEA Approach. Computational Economics. 2019; 55 (4):1209-1231.
Chicago/Turabian StyleTao Ding; Zhixiang Zhou; Qianzhi Dai; Liang Liang. 2019. "Analysis of China’s Regional Economic Environmental Performance: A Non-radial Multi-objective DEA Approach." Computational Economics 55, no. 4: 1209-1231.
Zhixiang Zhou; Xiumei Guo; Huaqing Wu; Jie Yu. Evaluating air quality in China based on daily data: Application of integer data envelopment analysis. Journal of Cleaner Production 2018, 198, 304 -311.
AMA StyleZhixiang Zhou, Xiumei Guo, Huaqing Wu, Jie Yu. Evaluating air quality in China based on daily data: Application of integer data envelopment analysis. Journal of Cleaner Production. 2018; 198 ():304-311.
Chicago/Turabian StyleZhixiang Zhou; Xiumei Guo; Huaqing Wu; Jie Yu. 2018. "Evaluating air quality in China based on daily data: Application of integer data envelopment analysis." Journal of Cleaner Production 198, no. : 304-311.
Jie Wu; Jiangjiang Yang; Zhixiang Zhou. How does environmental regulation affect environmental performance? A case study of China's regional energy efficiency. Expert Systems 2018, 37, 1 .
AMA StyleJie Wu, Jiangjiang Yang, Zhixiang Zhou. How does environmental regulation affect environmental performance? A case study of China's regional energy efficiency. Expert Systems. 2018; 37 (3):1.
Chicago/Turabian StyleJie Wu; Jiangjiang Yang; Zhixiang Zhou. 2018. "How does environmental regulation affect environmental performance? A case study of China's regional energy efficiency." Expert Systems 37, no. 3: 1.
In this paper we intend to check the performance of Peer-to-Peer online lending platforms in China. Different from commercial banks, Peer-to-Peer (P2P) platforms’ business process is divided into the market-expanding stage and the risk-managing stage. In the market-expanding stage, platforms are intended to help borrowers attain more money, and in the risk-managing stage, platforms try their best to ensure that the lenders’ money is repaid on time. Thus, with a sample of 66 leading big P2P platforms, and a novel two-stage slacks-based measure data envelopment analysis with non-cooperative game, the performance efficiency of each stage as well as the comprehensive efficiency are evaluated. The results show that the leading big platforms are good at managing the risk, although risk management is not the major concern of most P2P platforms in China. We also find that average performance efficiency of the platforms that are located in non-first tier cities is higher than that in first tier cities. This unexpected result indicates that development of the P2P industry may relieve the severe distortion of resource allocation and efficiency loss arising from unbalanced regional development. Then dividing the platforms into different groups according to different types of ownership, we verify that performance efficiency of the P2P platforms from the state-owned enterprise group is in a dominant position, and the robustness check indicates that the major advantage of the state-owned enterprise (SOE) group mainly lies in the risk management. We also make a further study to figure out the sources of inefficiency, finding that it mainly arises from the shortage of lenders, the lack of average borrowing balance, and the insufficient transparency of information disclosure. In the last section we conclude our research and propose some advice.
Pingfan Song; Yunzhi Chen; Zhixiang Zhou; Huaqing Wu. Performance Analysis of Peer-to-Peer Online Lending Platforms in China. Sustainability 2018, 10, 2987 .
AMA StylePingfan Song, Yunzhi Chen, Zhixiang Zhou, Huaqing Wu. Performance Analysis of Peer-to-Peer Online Lending Platforms in China. Sustainability. 2018; 10 (9):2987.
Chicago/Turabian StylePingfan Song; Yunzhi Chen; Zhixiang Zhou; Huaqing Wu. 2018. "Performance Analysis of Peer-to-Peer Online Lending Platforms in China." Sustainability 10, no. 9: 2987.
Jie Wu; Zhixia Zheng; Zhixiang Zhou. Environmental issues in China: Monitoring, assessment and management. Ecological Indicators 2015, 51, 1 -2.
AMA StyleJie Wu, Zhixia Zheng, Zhixiang Zhou. Environmental issues in China: Monitoring, assessment and management. Ecological Indicators. 2015; 51 ():1-2.
Chicago/Turabian StyleJie Wu; Zhixia Zheng; Zhixiang Zhou. 2015. "Environmental issues in China: Monitoring, assessment and management." Ecological Indicators 51, no. : 1-2.
Jie Wu; Zhixiang Zhou. ENVIRONMENTAL EFFICIENCY OF CHINESE PAPER MILLS ALONG HUAI RIVER: A DATA ENVELOPMENT ANALYSIS (DEA) BASED STUDY. Environmental Engineering and Management Journal 2014, 13, 1101 -1109.
AMA StyleJie Wu, Zhixiang Zhou. ENVIRONMENTAL EFFICIENCY OF CHINESE PAPER MILLS ALONG HUAI RIVER: A DATA ENVELOPMENT ANALYSIS (DEA) BASED STUDY. Environmental Engineering and Management Journal. 2014; 13 (5):1101-1109.
Chicago/Turabian StyleJie Wu; Zhixiang Zhou. 2014. "ENVIRONMENTAL EFFICIENCY OF CHINESE PAPER MILLS ALONG HUAI RIVER: A DATA ENVELOPMENT ANALYSIS (DEA) BASED STUDY." Environmental Engineering and Management Journal 13, no. 5: 1101-1109.
Zeng Jia; Zhixiang Zhou; Jie Wu; Zhi Chen. A unified DEA approach for evaluating congestion: a case of hotels in Taipei. International Journal of Information and Decision Sciences 2013, 5, 86 .
AMA StyleZeng Jia, Zhixiang Zhou, Jie Wu, Zhi Chen. A unified DEA approach for evaluating congestion: a case of hotels in Taipei. International Journal of Information and Decision Sciences. 2013; 5 (1):86.
Chicago/Turabian StyleZeng Jia; Zhixiang Zhou; Jie Wu; Zhi Chen. 2013. "A unified DEA approach for evaluating congestion: a case of hotels in Taipei." International Journal of Information and Decision Sciences 5, no. 1: 86.
Traditional efficiency studies using data envelopment analysis (DEA) models considered all resource inputs as homogeneous, which appears to be unwarranted. In this article, we propose an output-oriented, multidivision DEA model considering the heterogeneity of different operating departments in a hotel when measuring its efficiency. Using the data of 21 international tourist hotels (ITHs) in Taipei during 2005–2007, we first measured each hotel's systematic efficiency by maximizing the performance of two different departments (i.e., rooms along with food and beverage) and then we decomposed the systematic efficiency by separately measuring the subsystematic efficiency of each department. Managers of the underperforming ITHs would find the model application and results of this study beneficial in helping them identify the operating department(s) that was causing the inefficiency for the hotel during 2005–2007. As a result, strategies and efforts for tackling the inefficiency could then be proposed by the managers in a more desirable direction. Implications are discussed.
Jie Wu; Zhixiang Zhou; Henry Tsai. Measuring and Decomposing Efficiency in International Tourist Hotels in Taipei Using a Multidivision DEA Model. International Journal of Hospitality & Tourism Administration 2012, 13, 259 -280.
AMA StyleJie Wu, Zhixiang Zhou, Henry Tsai. Measuring and Decomposing Efficiency in International Tourist Hotels in Taipei Using a Multidivision DEA Model. International Journal of Hospitality & Tourism Administration. 2012; 13 (4):259-280.
Chicago/Turabian StyleJie Wu; Zhixiang Zhou; Henry Tsai. 2012. "Measuring and Decomposing Efficiency in International Tourist Hotels in Taipei Using a Multidivision DEA Model." International Journal of Hospitality & Tourism Administration 13, no. 4: 259-280.