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Qing Yang
School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China

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Journal article
Published: 24 August 2021 in Sustainability
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Different indicators, such as the number of patent applications, the number of grants, and the patent conversion rate, were proposed in this study to analyze the issue of innovation imbalance within and between urban agglomerations from a new perspective. First, a preliminary analysis of the current state of innovation and development of China’s nine urban agglomerations was conducted. Then the Theil index, widely used in equilibrium research, was employed to measure the overall innovation gap of China’s urban agglomerations. The study innovatively used the self-organizing feature map to identify the correlation characteristics of the innovation and development within China’s urban agglomerations and visualize them through Geographic Information Science. The research findings show that the hierarchical differentiation of the innovation and development of China’s urban agglomerations is becoming increasingly clear, and that the imbalance in regional innovation development is pronounced. The imbalance in innovation development within urban agglomerations is more significant than the imbalance in innovation development among urban agglomerations. The analysis indicated that a possible cause is the crowding effect and administrative standard effect of the central city. The key to addressing this problem is promoting innovative and coordinated development between regions.

ACS Style

Xiaohua Wang; Tianyu Wan; Qing Yang; Mengli Zhang; Yingnan Sun. Research on Innovation Non-Equilibrium of Chinese Urban Agglomeration Based on SOM Neural Network. Sustainability 2021, 13, 9506 .

AMA Style

Xiaohua Wang, Tianyu Wan, Qing Yang, Mengli Zhang, Yingnan Sun. Research on Innovation Non-Equilibrium of Chinese Urban Agglomeration Based on SOM Neural Network. Sustainability. 2021; 13 (17):9506.

Chicago/Turabian Style

Xiaohua Wang; Tianyu Wan; Qing Yang; Mengli Zhang; Yingnan Sun. 2021. "Research on Innovation Non-Equilibrium of Chinese Urban Agglomeration Based on SOM Neural Network." Sustainability 13, no. 17: 9506.

Research article
Published: 06 July 2021 in Complexity
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Only through successful transformation and application in industries, technology achievements in universities can promote economic and social development. Meanwhile, technological progress in high-tech industries depends in part on universities’ technology achievements. Coupling coordination between technology transfer in universities (TTU) and high-tech industries development (HTID) is of great significance to the sustainable development of the regional sci-tech innovation system. In this paper, the coupling mechanism of TTU and HTID is analyzed and comprehensive evaluation index systems are established by using the evaluation indicator to screen and assign weights based on information contribution rate. The coupling coordination index (CCI) and productivity index (PI) are introduced to derive the spatiotemporal characteristics of the coupling and coordination of TTU and HTID from 2010 to 2019 in China and analyze its influence factors by System-Generalized Method of Moments (SYS-GMM). The results show the following: (1) the overall national TTU-HTID CCI shows a gradual upward trend and large regional differences; (2) CCI of most provinces is increasing, but the differences are widening; (3) the national TTU PI is in a state of volatility and decline, but the ability of TTU is still much higher than the level of HTID; (4) technological innovation in high-tech industries, high-tech industry technology absorption capacity, high-tech industry development level, industry-university cooperation, and technological finance development have significant roles in promoting the coupling coordination of TTU-HTID. Meanwhile, the sci-tech innovation level in universities, technology transferability in universities, government support, development of sci-tech intermediary, and development of other research institutions have no significant impact.

ACS Style

Haining Fang; Qing Yang; Jinmei Wang; Xingxing Liu. Coupling Coordination between Technology Transfer in Universities and High-Tech Industries Development in China. Complexity 2021, 2021, 1 -16.

AMA Style

Haining Fang, Qing Yang, Jinmei Wang, Xingxing Liu. Coupling Coordination between Technology Transfer in Universities and High-Tech Industries Development in China. Complexity. 2021; 2021 ():1-16.

Chicago/Turabian Style

Haining Fang; Qing Yang; Jinmei Wang; Xingxing Liu. 2021. "Coupling Coordination between Technology Transfer in Universities and High-Tech Industries Development in China." Complexity 2021, no. : 1-16.

Research article
Published: 14 April 2021 in Complexity
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Along with urban development globally, the NIMBY (Not-In-My-Backyard) crisis has been a complex social problem, which requires urgent remedial action. The inevitable management of Municipal Solid Waste (MSW) has been one of the toughest risk management tasks in the worldwide modernization process. At present, certain fuzzy and unstructured results and methods have been formed for MSW-NIMBY crisis response, mainly focusing on the sociology and politics which scatter in complex and sensitive reports and news. Aiming at enhancing the effectiveness of data mining from specific sparse text of MSW-NIMBY crisis, an improved knowledge extraction method is developed. Through rule-based text mining and complex network analysis, the Entity Relationship (ER) network of MSW-NIMBY crisis is reconstructed. Meanwhile, a novel transitivity for relationship between entities in semantic analysis is proposed to improve the feasibility and accuracy of information extraction. Characteristics and regularity of MSW-NIMBY crisis evolution and experience of crisis governance could be identified effectively. Results show that knowledge integration and ER transitivity can enhance knowledge recognition and major other factors, which could help formulate the governance strategies of NIMBY crisis from academic texts.

ACS Style

Qing Yang; Hui Zhou; Xingxing Liu; Chen Zuo; Jinmei Wang. Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China. Complexity 2021, 2021, 1 -19.

AMA Style

Qing Yang, Hui Zhou, Xingxing Liu, Chen Zuo, Jinmei Wang. Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China. Complexity. 2021; 2021 ():1-19.

Chicago/Turabian Style

Qing Yang; Hui Zhou; Xingxing Liu; Chen Zuo; Jinmei Wang. 2021. "Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China." Complexity 2021, no. : 1-19.

Journal article
Published: 19 February 2021 in International Journal of Environmental Research and Public Health
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As the impact factors of the waste Not-In-My-Back Yard (NIMBY) crisis are complex, and the scenario evolution path of it is diverse. Once the crisis is not handled properly, it will bring adverse effects on the construction of waste NIMBY facilities, economic development and social stability. Consequently, based on ground theory, this paper takes the waste NIMBY crisis in China from 2006 to 2019 as typical cases, through coding analysis, scenario evolution factors of waste NIMBY crisis are established. Furtherly, three key scenarios were obtained, namely, external situation (E), situation state (S), emergency management (M), what is more, scenario evolution law of waste NIMBY crisis is revealed. Then, the dynamic Bayesian network theory is used to construct the dynamic scenario evolution network of waste NIMBY crisis. Finally, based on the above models, Xiantao waste NIMBY crisis is taken as a case study, and the dynamic process of scenario evolution network is visually displayed by using Netica. The simulation results show that the scenario evolution network of Xiantao waste NIMBY crisis is basically consistent with the actual incident development process, which confirms the effectiveness and feasibility of the model.

ACS Style

Ling He; Qing Yang; Xingxing Liu; Lingmei Fu; Jinmei Wang. Exploring Factors Influencing Scenarios Evolution of Waste NIMBY Crisis: Analysis of Typical Cases in China. International Journal of Environmental Research and Public Health 2021, 18, 2006 .

AMA Style

Ling He, Qing Yang, Xingxing Liu, Lingmei Fu, Jinmei Wang. Exploring Factors Influencing Scenarios Evolution of Waste NIMBY Crisis: Analysis of Typical Cases in China. International Journal of Environmental Research and Public Health. 2021; 18 (4):2006.

Chicago/Turabian Style

Ling He; Qing Yang; Xingxing Liu; Lingmei Fu; Jinmei Wang. 2021. "Exploring Factors Influencing Scenarios Evolution of Waste NIMBY Crisis: Analysis of Typical Cases in China." International Journal of Environmental Research and Public Health 18, no. 4: 2006.

Journal article
Published: 24 December 2020 in Waste Management
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Incineration is an efficient and economical means of solid waste disposal. And local residents’ acceptance has to be acquired for the smooth going of waste-to-energy incineration project (WTEIP). From a Chinese perspective, this paper finds what influence local residents’ acceptance towards WTEIP under construction, based on which we rank WTEIPs and figure out the project with the least local residents’ acceptance. To achieve this, a three-stage model is developed. Stage 1 involves identifying the criteria based on the expert judgement for local residents’ acceptance towards WTEIP under construction. Stage 2 involves the criteria weights determination employing Best Worst-Decision Making Trial and Evaluation Laboratory (BWD). BWD incorporates Best Worst Method and Decision Making Trial and Evaluation Laboratory which is intended to take the interrelationships among the criteria into account. Stage 3 involves project ranking according to the criteria weights determined by BWD. Sensitivity analysis is conducted to check the effectiveness and robustness of the three-stage model. Results show that perceived risk-free is the most influential criterion of local residents’ acceptance towards WTEIP under construction and the three-stage model is reliable and robust. The study is helpful to enhance local residents’ acceptance towards WTEIP under construction and provide important reference for decision-makers and policymakers in waste management.

ACS Style

Lingmei Fu; Qing Yang; Xingxing Liu; Zhan Wang. Three-stage model based evaluation of local residents’ acceptance towards waste-to-energy incineration project under construction: A Chinese perspective. Waste Management 2020, 121, 105 -116.

AMA Style

Lingmei Fu, Qing Yang, Xingxing Liu, Zhan Wang. Three-stage model based evaluation of local residents’ acceptance towards waste-to-energy incineration project under construction: A Chinese perspective. Waste Management. 2020; 121 ():105-116.

Chicago/Turabian Style

Lingmei Fu; Qing Yang; Xingxing Liu; Zhan Wang. 2020. "Three-stage model based evaluation of local residents’ acceptance towards waste-to-energy incineration project under construction: A Chinese perspective." Waste Management 121, no. : 105-116.

Journal article
Published: 11 May 2020 in Ecological Indicators
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Under the background of addressing global climate change, the green-oriented urban development has become one of the top political agendas. The processes of green-oriented urban development are dynamic and complex systems influenced by socioeconomic and eco-environmental elements. The interactions between these elements cannot be well considered and treated in previous assessment researches. This study constructs the driving force-pressure-status-impact-response (DPSIR) framework, Shannon’s entropy and coordinated development index model to reflect the interactive effects and coordinated relationship. The model is applied to measure the green coordinated development performance in four municipalities directly under the central government and 15 sub-provincial cities from 2007 to 2016. Results show that the green coordination has been the priority for the development of most cities. The level of coordinated development has increased during the decade, but the overall level is not high. The cities in the southern coast is greener than the northern regions. The driving force has the most significant impact on green-oriented urban development. The pressure and response subsystems have made great progress with the implementation of a series of green-oriented strategies during the decade. The upgrading of socioeconomic driving force, the amending of environmental impacts and the improvement of status should be the focuses for the green-oriented urban development in China.

ACS Style

Ane Pan; Qin Wang; Qing Yang. Assessment on the coordinated development oriented to Green City in China. Ecological Indicators 2020, 116, 106486 .

AMA Style

Ane Pan, Qin Wang, Qing Yang. Assessment on the coordinated development oriented to Green City in China. Ecological Indicators. 2020; 116 ():106486.

Chicago/Turabian Style

Ane Pan; Qin Wang; Qing Yang. 2020. "Assessment on the coordinated development oriented to Green City in China." Ecological Indicators 116, no. : 106486.

Journal article
Published: 09 May 2020 in International Journal of Environmental Research and Public Health
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Many cities in the world are besieged by municipal solid waste (MSW). MSW not only pollutes the ecological environment but can even induce a series of public safety crises. Risk response for MSW needs novel changes. This paper innovatively adopts the ideas and methods of semantic web ontology to build an ontology-based reasoning system for MSW risk response. Through the integration of crisis information and case resources in the field of MSW, combined with the reasoning ability of Semantic Web Rule Language (SWRL), a system of rule reasoning for risk transformation is constructed. Knowledge extraction and integration of MSW risk response can effectively excavate semantic correlation of crisis information along with key transformation points in the process of crisis evolution through rule reasoning. The results show that rule reasoning of transformation can effectively improve intelligent decision-making regarding MSW risk response.

ACS Style

Qing Yang; Chen Zuo; Xingxing Liu; Zhichao Yang; Hui Zhou. Risk Response for Municipal Solid Waste Crisis Using Ontology-Based Reasoning. International Journal of Environmental Research and Public Health 2020, 17, 3312 .

AMA Style

Qing Yang, Chen Zuo, Xingxing Liu, Zhichao Yang, Hui Zhou. Risk Response for Municipal Solid Waste Crisis Using Ontology-Based Reasoning. International Journal of Environmental Research and Public Health. 2020; 17 (9):3312.

Chicago/Turabian Style

Qing Yang; Chen Zuo; Xingxing Liu; Zhichao Yang; Hui Zhou. 2020. "Risk Response for Municipal Solid Waste Crisis Using Ontology-Based Reasoning." International Journal of Environmental Research and Public Health 17, no. 9: 3312.

Journal article
Published: 22 April 2020 in Water
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The urban rainstorm can evolve into a serious emergency, generally characterized by high complexity, uncertainty, and time pressure. It is often difficult for individuals to find the optimal response strategy due to limited information and time constraints. Therefore, the classical decision-making method based on the “infinite rationality” assumption is sometimes challenging to reflect the reality. Based on the recognition-primed decision (RPD) model, a dynamic RPD (D-RPD) model is proposed in this paper. The D-RPD model assumes that decision-makers can gain experience in the escaping process, and the risk perception of rainstorm disasters can be regarded as a Markov process. The experience of recent attempts would contribute more in decision-making. We design the agent according to the D-RPD model, and employ a multi-agent system (MAS) to simulate individuals’ decisions in the context of a rainstorm. Our results show that experience helps individuals to perform better when they escape in the rainstorm. Recency acts as a one of the key elements in escaping decision making. We also find that filling the information gap between individuals and real-time disaster would help individuals to perform well, especially when individuals tend to avoid extreme decisions.

ACS Style

Qing Yang; Xu Sun; Xingxing Liu; Jinmei Wang. Multi-Agent Simulation of Individuals’ Escape in the Urban Rainstorm Context Based on Dynamic Recognition-Primed Decision Model. Water 2020, 12, 1190 .

AMA Style

Qing Yang, Xu Sun, Xingxing Liu, Jinmei Wang. Multi-Agent Simulation of Individuals’ Escape in the Urban Rainstorm Context Based on Dynamic Recognition-Primed Decision Model. Water. 2020; 12 (4):1190.

Chicago/Turabian Style

Qing Yang; Xu Sun; Xingxing Liu; Jinmei Wang. 2020. "Multi-Agent Simulation of Individuals’ Escape in the Urban Rainstorm Context Based on Dynamic Recognition-Primed Decision Model." Water 12, no. 4: 1190.

Journal article
Published: 18 January 2020 in International Journal of Environmental Research and Public Health
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Environmental regulation will affect social employment through corporate costs, technological innovation, industrial upgrading, and industrial transfer. To verify the effect of environmental regulation on social employment in different periods and under the intensity of environmental regulation, in this paper, environmental regulation is introduced as an influencing factor of social employment levels, based on China’s urban registration unemployment data from 1987 to 2017. A nonlinear smoothing autoregressive model is used to analyze the nonlinear long-term effect relationship between environmental regulation and social employment. The research results show that the relationship between environmental regulation and social employment does exhibit the characteristics of nonlinear transformation under different mechanisms, and the transformation speed is fast. The specific manifestation is that the environmental regulation has a restraining effect on social employment in the short term, and the environmental regulation has a promoting effect on social employment in the long term. Continued high-level environmental regulations will exacerbate the adverse impact of environmental regulations on social employment.

ACS Style

Xiaohua Wang; Qing Yang; Ning He. Research on the Influence of Environmental Regulation on Social Employment—An Empirical Analysis Based on the STR Model. International Journal of Environmental Research and Public Health 2020, 17, 622 .

AMA Style

Xiaohua Wang, Qing Yang, Ning He. Research on the Influence of Environmental Regulation on Social Employment—An Empirical Analysis Based on the STR Model. International Journal of Environmental Research and Public Health. 2020; 17 (2):622.

Chicago/Turabian Style

Xiaohua Wang; Qing Yang; Ning He. 2020. "Research on the Influence of Environmental Regulation on Social Employment—An Empirical Analysis Based on the STR Model." International Journal of Environmental Research and Public Health 17, no. 2: 622.

Journal article
Published: 10 January 2020 in Sustainability
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The frequent occurrence of urban waterlogging constantly affects cities’ stability, bringing about a lot of economic losses and casualties. Coupled with the deficient rescue activities, waterlogging often exacerbates the impact of urban rainstorm disasters. By setting up a diverse distribution of shelters and various types of pedestrians, the evacuation route choice of pedestrians in an urban rainstorm disaster is simulated and analyzed through multi-agent system simulation. Then, clustering analysis is applied to discover population characteristics in different survival scenarios. The simulations for sustainable rescue after pedestrians reach the shelters are also carried out. It was found that the pedestrians’ herd mentality and the distribution of shelters have a significant impact on the success rate of post-disaster evacuation. The results could help pedestrians to make decisions in the evacuation. The wide scope of the shelters’ allocation facilitates the effect of disaster relief.

ACS Style

Qing Yang; Ying Sun; Xingxing Liu; Jinmei Wang. MAS-Based Evacuation Simulation of an Urban Community during an Urban Rainstorm Disaster in China. Sustainability 2020, 12, 546 .

AMA Style

Qing Yang, Ying Sun, Xingxing Liu, Jinmei Wang. MAS-Based Evacuation Simulation of an Urban Community during an Urban Rainstorm Disaster in China. Sustainability. 2020; 12 (2):546.

Chicago/Turabian Style

Qing Yang; Ying Sun; Xingxing Liu; Jinmei Wang. 2020. "MAS-Based Evacuation Simulation of an Urban Community during an Urban Rainstorm Disaster in China." Sustainability 12, no. 2: 546.

Journal article
Published: 20 April 2019 in Sustainability
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Environmental conflicts have been a top global focus and issue for human’s sustainable development. China is confronted with a serious situation with a rigid demand of ecological governance, in which the “Not In My Back Yard” (NIMBY) crisis outbreaks frequently. NIMBY has a great impact on government management and social stability. This study aims to analyze the NIMBY crisis transformation path for municipal solid waste incineration (MSWI) in China. Considering environmental, social and economic influences, this study seeks to find methods of transforming dangers into opportunities. A conceptual framework for realizing the NIMBY crisis transformation in waste management decision-making was conducted with a hybrid approach. A fishbone diagram was applied to explain the key factors of NIMBY crisis transformation for MSWI. Integrating Bayesian network structure discovery and co-word analysis into a qualitative analysis, searched data and key factors from a literature search engine with specific themes were used for structure learning. The results showed that project location, benefit compensation, publicity and education, public decision, public participation, the rule of law and multiple governance have distinct influences on the NIMBY crisis transformation process in China. In summary, the conceptual framework describes the complex process of NIMBY crisis transformation and helps to deepen data mining for municipal solid waste management (MSWM).

ACS Style

Qing Yang; Yanxia Zhu; Xingxing Liu; Lingmei Fu; Qianqian Guo. Bayesian-Based NIMBY Crisis Transformation Path Discovery for Municipal Solid Waste Incineration in China. Sustainability 2019, 11, 2364 .

AMA Style

Qing Yang, Yanxia Zhu, Xingxing Liu, Lingmei Fu, Qianqian Guo. Bayesian-Based NIMBY Crisis Transformation Path Discovery for Municipal Solid Waste Incineration in China. Sustainability. 2019; 11 (8):2364.

Chicago/Turabian Style

Qing Yang; Yanxia Zhu; Xingxing Liu; Lingmei Fu; Qianqian Guo. 2019. "Bayesian-Based NIMBY Crisis Transformation Path Discovery for Municipal Solid Waste Incineration in China." Sustainability 11, no. 8: 2364.

Journal article
Published: 08 March 2019 in Sustainability
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The clear understanding of characteristics and trends of solid waste generation is essential for the optimization of waste collection and treatment systems. Taking 651 cities in China as a sample, this study adopts correlation analysis and the Q-type clustering model to explore the characteristics and general trends of solid waste generation (SWG) of five cities of different scale from 2007 to 2016. The results show that the trends of average amount and the annual per capita SWG are diversified in cities of different scale. The permanent residents and regional GDP have prominent impacts on SWG in large cities, megacities, and super megacities compared to those from small and medium-sized cities. The urban area is highly correlated with the SWG of all cities. Nearly one third of cities are characterized by high population density, high economic growth and low SWG. Furthermore, the factor models are developed to forecast the amount of SWG, which have a descriptive capacity of 96%, 95.4%, 92.6%, and 84.2% for the overall cities, large cities, medium-sized cities and small cities respectively.

ACS Style

Ane Pan; Linxiu Yu; Qing Yang. Characteristics and Forecasting of Municipal Solid Waste Generation in China. Sustainability 2019, 11, 1433 .

AMA Style

Ane Pan, Linxiu Yu, Qing Yang. Characteristics and Forecasting of Municipal Solid Waste Generation in China. Sustainability. 2019; 11 (5):1433.

Chicago/Turabian Style

Ane Pan; Linxiu Yu; Qing Yang. 2019. "Characteristics and Forecasting of Municipal Solid Waste Generation in China." Sustainability 11, no. 5: 1433.

Journal article
Published: 02 November 2018 in International Journal of Environmental Research and Public Health
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Poor public health is always associated with the mismanagement of municipal solid waste (MSW). Many cities are besieged by MSW in the world. It is essential to do a good job in MSW management (MSWM). In order to improve the efficiency of MSWM, the Chinese government has intensively implemented relevant policies. There are still few studies on MSWM efficiency in China. The research aims to comprehensively analyze MSWM efficiency, find high-efficiency MSWM policy implementation routes and the breakthrough on improving MSWM efficiency. To measure Chinese MSWM efficiency accurately, this paper introduced the three-stage data envelopment analysis (DEA) model into the research. According to the results of DEA, Fuzzy c-Means algorithm was used to the cluster analysis of 33 typical cities. After eliminating the interference of the external environment and random disturbance, the mean value of MSWM efficiency declined from 0.575 to 0.544. The mean of pure technical efficiency (PTE) was declined from 0.966 to 0.611, while the mean of scale efficiency (SE) increased from 0.600 to 0.907. The PTE of central and northeastern cities was relatively low. The SE of western cities was comparatively high and the efficiency distribution of the eastern region was relatively scattered. In general, MSWM efficiency is low and expected to be improved. Regional differences in MSWM efficiency have been shown. The management effectiveness of eight pilot cities (MSW classification) is affirmative but not that significant. To improve MSWM efficiency, differential management for four types of cities should be carried out.

ACS Style

Qing Yang; Lingmei Fu; Xingxing Liu; Mengying Cheng. Evaluating the Efficiency of Municipal Solid Waste Management in China. International Journal of Environmental Research and Public Health 2018, 15, 2448 .

AMA Style

Qing Yang, Lingmei Fu, Xingxing Liu, Mengying Cheng. Evaluating the Efficiency of Municipal Solid Waste Management in China. International Journal of Environmental Research and Public Health. 2018; 15 (11):2448.

Chicago/Turabian Style

Qing Yang; Lingmei Fu; Xingxing Liu; Mengying Cheng. 2018. "Evaluating the Efficiency of Municipal Solid Waste Management in China." International Journal of Environmental Research and Public Health 15, no. 11: 2448.

Journal article
Published: 09 May 2018 in International Journal of Conflict Management
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Purpose This study aims to analyze reform path for waste management policy implementation. With reference to the Bayesian theory, this study provides a dynamic policy conversion method through various context settings. Furthermore, this study attempts to present an empirical research paradigm. Design/methodology/approach Matland’s “ambiguity-conflict model” is applied to explain the problems and reform paths of China’s waste management policy implementation. Integrating structure discovery and bibliometrics into qualitative analysis, this study used search data from literature search engine with specific themes to achieve structure learning of Bayesian network with key factors refined in waste management policy. Findings The results show that China’s waste management policy implementation belongs to symbolic implementation with high ambiguity and high conflict. Four basic conversion paths for the waste management policy are proposed, which are classified by length and stability. Then, it is possible to locate the factors, paths and types of policy implementation through involvement analysis with features of each path and each district of policy implementation. Public education holds direct but unstable impact on waste management. Economic incentives hold continuous but gradually diminishing impact. Perceived policy effectiveness plays the crucial role like a central bridge. Resident conditions have a positive impact, which could be enhanced through economic development of China. The impact of subjective norm on waste management is not significant. But subjective norm has the potential breakthrough for solving stagnation of waste classification policy. However, the impacts from each factor may change along with economy growth and technology innovation. Originality/value This study uses the “ambiguity-conflict model” to position China’s waste classification policy and suggests that structure discovery methods help understand feasible reform paths for reform policy. The integration of theoretical analysis and quantitative simulation can achieve a comprehensive analysis of problems and solutions in waste management policy implementation of China. Promotion and education, economic incentives, perceived value, behavior control, subjective norm, perceived policy effectiveness, informal waste recycling system and residential conditions are explored as key factors for waste classification policy implementation as a representative in waste management policy. The role of each key factor and features of each conversion paths are integrated to position reform paths in the ambiguity-conflict model. This work helps to explain the stagnation of waste management policy implementation from the perspective of dynamic structure evolution, and some specific suggestions to get out of stagnation are proposed.

ACS Style

Qing Yang; Ling He; Xingxing Liu; Mengying Cheng. Bayesian-based conflict conversion path discovery for waste management policy implementation in China. International Journal of Conflict Management 2018, 29, 347 -375.

AMA Style

Qing Yang, Ling He, Xingxing Liu, Mengying Cheng. Bayesian-based conflict conversion path discovery for waste management policy implementation in China. International Journal of Conflict Management. 2018; 29 (3):347-375.

Chicago/Turabian Style

Qing Yang; Ling He; Xingxing Liu; Mengying Cheng. 2018. "Bayesian-based conflict conversion path discovery for waste management policy implementation in China." International Journal of Conflict Management 29, no. 3: 347-375.

Article
Published: 17 March 2017 in Cluster Computing
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In big data situation, to detect clusters of different size and shape is a challenging and imperative task. Density based clustering approaches have been widely used in many areas of science due to its simplicity and the ability to detect clusters of different sizes and shapes over the last several years. With diverse conversion on categorical data, a modified version of the DBSCAN algorithm is proposed to cluster mixed data, noted as density based clustering algorithm for mixed data with integration of entropy and probability distribution (EPDCA). Optional and various conversions are provided for clustering process with adaptability. Some benchmark data sets from UCI have been selected for testing the capability and validity of EPDCA. It was shown that the clustering results of EPDCA are considerably improved, especially on automatically number of clusters formed, noise discovery and time elapsed to form clusters.

ACS Style

Xingxing Liu; Qing Yang; Ling He. A novel DBSCAN with entropy and probability for mixed data. Cluster Computing 2017, 20, 1313 -1323.

AMA Style

Xingxing Liu, Qing Yang, Ling He. A novel DBSCAN with entropy and probability for mixed data. Cluster Computing. 2017; 20 (2):1313-1323.

Chicago/Turabian Style

Xingxing Liu; Qing Yang; Ling He. 2017. "A novel DBSCAN with entropy and probability for mixed data." Cluster Computing 20, no. 2: 1313-1323.

Journal article
Published: 21 August 2016 in Journal on Innovation and Sustainability RISUS
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Firms always face a pressure for better performance. A lot of indicators are being studied with respect to their effect on firm’s performance. Banking sector plays a vital role in terms of financing firms for their different projects and future investments. This paper is quite significant as it is targeting the low addressed area of Pakistan. A vital contribution is made by this research in order to understand the relationship of banks and firms and how the firm’s performance is affected by number of banks in relation with firm. It further opens the new horizons of research to investigate this relationship in depth. The bank relationship is remained a topic of interest in developed countries but meagre research was done in developing and emerging markets. This paper attempts to explain the firm-bank relationship and its impact on firm’s performance with the help of OLS regression analysis with robust errors. The data for 180 listed firms is collected from Karachi Stock Exchange (KSE). We use two proxies for bank relationship. A dummy variable is used for bank relations (1 if number of bank relations is more than 5 otherwise 0) and the second variable is actual number of relations a firm is maintaining with banks. Return on asset (ROA) and return on equity (ROE) are used as dependent variables as an indicator of firm performance. It concludes that the number of bank relations do affect firm’s performance significantly but negatively. As far as the bank relation dummy is concern it shows significant relation with ROA but no such relationship with ROE. After investigating the initial relationship, it can be said that bank relations are important for firms but there must be optimal number of banking relations.

ACS Style

Jahanzaib Sultan; Yang Qing; Ammar Abid. Multiple Bank Relationship and Their Impact on Firm’s Performance: Evidence from Pakistan. Journal on Innovation and Sustainability RISUS 2016, 7, 57 -64.

AMA Style

Jahanzaib Sultan, Yang Qing, Ammar Abid. Multiple Bank Relationship and Their Impact on Firm’s Performance: Evidence from Pakistan. Journal on Innovation and Sustainability RISUS. 2016; 7 (2):57-64.

Chicago/Turabian Style

Jahanzaib Sultan; Yang Qing; Ammar Abid. 2016. "Multiple Bank Relationship and Their Impact on Firm’s Performance: Evidence from Pakistan." Journal on Innovation and Sustainability RISUS 7, no. 2: 57-64.

Journal article
Published: 16 April 2015 in Sustainability
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In order to realize economic and social green development, to pave a pathway towards China’s green regional development and develop effective scientific policy to assist in building green cities and countries, it is necessary to put forward a relatively accurate, scientific and concise green assessment method. The research uses the CCR (A. Charnes & W. W. Cooper & E. Rhodes) Data Envelopment Analysis (DEA) model to obtain the green development frontier surface based on 31 regions’ annual cross-section data from 2008–2012. Furthermore, in order to classify the regions whereby assessment values equal to 1 in the CCR model, we chose the Super-Efficiency DEA model for further sorting. Meanwhile, according to the five-year panel data, the green development efficiency changes of 31 regions can be manifested by the Malmquist index. Finally, the study assesses the reasons for regional differences; while analyzing and discussing the results may allude to a superior green development pathway for China.

ACS Style

Qing Yang; Xingzi Wan; Huimin Ma. Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index. Sustainability 2015, 7, 4492 -4510.

AMA Style

Qing Yang, Xingzi Wan, Huimin Ma. Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index. Sustainability. 2015; 7 (4):4492-4510.

Chicago/Turabian Style

Qing Yang; Xingzi Wan; Huimin Ma. 2015. "Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index." Sustainability 7, no. 4: 4492-4510.

Journal article
Published: 15 December 2014 in Sustainability
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From a holistic view, this paper addresses a perspective of coordinated development of economy, society, and environment for regional sustainability assessment. Firstly, a comprehensive indicator system for co-evaluating the level of economic, social, and environmental subsystems is presented based on a holistic understanding of regional sustainability. Then, a coordinated development index model focusing on the level of coordination among the subsystems as well as their comprehensive development level is established. Furthermore, an empirical study of all the provinces and municipalities is conducted by collecting the panel data from 2004 to 2010. The result shows that: (1) the coordinated developments of the most developed and the most underdeveloped regions stay stable while the regions with medium development level possess more fluctuant trends during the study years; (2) regional disparities are indicated according to the grading of CDI (the coordinated development index), which are further analyzed to be related to the local economic development patterns; (3) the conditions and causes of economic, social, and environmental development in real situations under different grades of CDI are discussed through detailed case studies of typical regions, which indicate specific suggestions of sustainable development for regions in the same pattern.

ACS Style

Qing Yang; Yang Ding; Bauke De Vries; Qi Han; Huimin Ma. Assessing Regional Sustainability Using a Model of Coordinated Development Index: A Case Study of Mainland China. Sustainability 2014, 6, 9282 -9304.

AMA Style

Qing Yang, Yang Ding, Bauke De Vries, Qi Han, Huimin Ma. Assessing Regional Sustainability Using a Model of Coordinated Development Index: A Case Study of Mainland China. Sustainability. 2014; 6 (12):9282-9304.

Chicago/Turabian Style

Qing Yang; Yang Ding; Bauke De Vries; Qi Han; Huimin Ma. 2014. "Assessing Regional Sustainability Using a Model of Coordinated Development Index: A Case Study of Mainland China." Sustainability 6, no. 12: 9282-9304.

Journal article
Published: 31 December 2012 in Journal of Convergence Information Technology
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ACS Style

Fan Yang -; Qing Yang -; Wei Huang -. Multi-Agents Model of Prevention and Control Emergencies with Isolation Measure. Journal of Convergence Information Technology 2012, 7, 492 -499.

AMA Style

Fan Yang -, Qing Yang -, Wei Huang -. Multi-Agents Model of Prevention and Control Emergencies with Isolation Measure. Journal of Convergence Information Technology. 2012; 7 (22):492-499.

Chicago/Turabian Style

Fan Yang -; Qing Yang -; Wei Huang -. 2012. "Multi-Agents Model of Prevention and Control Emergencies with Isolation Measure." Journal of Convergence Information Technology 7, no. 22: 492-499.

Journal article
Published: 31 December 2012 in Procedia Environmental Sciences
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In order to study the evolution patterns of two-oriented society coordinated development, with the guidance of Scientific Development View, this paper proposed the research thinking of the evolution pattern of two-oriented society coordinated development, established the MSP evolution patterns structure model of two-oriented society coordinated development and created the model of comprehensive index, coordination degree, development degree and coordinated development index. It also made an empirical analysis of the evolution patterns of two-oriented society coordinated development in all regions of China and worked out the MSP evolution map of two-oriented society coordinated development in each region. This paper improved the theories of coordinated development two-oriented society and embraces great importance of the regional two-oriented society's construction.

ACS Style

Qing Yang; Yang Ding. Research on the MSP Evolution Patterns of Two-oriented Society Coordinated Development in Regions of China. Procedia Environmental Sciences 2012, 12, 777 -784.

AMA Style

Qing Yang, Yang Ding. Research on the MSP Evolution Patterns of Two-oriented Society Coordinated Development in Regions of China. Procedia Environmental Sciences. 2012; 12 ():777-784.

Chicago/Turabian Style

Qing Yang; Yang Ding. 2012. "Research on the MSP Evolution Patterns of Two-oriented Society Coordinated Development in Regions of China." Procedia Environmental Sciences 12, no. : 777-784.