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Baizhou Li
School of Economics and Management, Harbin Engineering University, Harbin 150001, China

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Journal article
Published: 05 May 2020 in International Journal of Environmental Research and Public Health
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A green manufacturing system is an important tool to realize green transformation of the manufacturing industry. The systematicness of green technology innovation as the key foundation of green manufacturing supports the entire huge green manufacturing system. In order to improve the effectiveness of multi-agent cooperation, it is necessary to analyze a series of green technology innovation achievements of manufacturing enterprises under multi-agent cooperation. First of all, inter-indicator correlation analysis and exploratory factor analysis were used to construct the evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation. Then, a secondary combined evaluation model was constructed based on the evaluation conclusions. Finally, a theoretical framework was constructed to measure the performance of the green technology innovation of manufacturing enterprises under multi-agent cooperation. The results of this study are as follows: The evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation is composed of the technology output, economic output, and social effect of green technology innovation. The key factors that influence the green technology innovation performance of manufacturing enterprises under multi-agent cooperation are the proportion of green technology transformation in traditional technology, the number of papers published jointly by multi-agent cooperation, the user acceptance of green technology products, and the degree of improvement of public environmental preference and consciousness. A fusion of technology of subjective and objective methods is an effective evaluation technique and can be applied to evaluate the performance of green technology innovation. The secondary combined evaluation combines the evaluation conclusions obtained by each single evaluation method in a certain form.

ACS Style

Shi Yin; Nan Zhang; Baizhou Li. Improving the Effectiveness of Multi-Agent Cooperation for Green Manufacturing in China: A Theoretical Framework to Measure the Performance of Green Technology Innovation. International Journal of Environmental Research and Public Health 2020, 17, 3211 .

AMA Style

Shi Yin, Nan Zhang, Baizhou Li. Improving the Effectiveness of Multi-Agent Cooperation for Green Manufacturing in China: A Theoretical Framework to Measure the Performance of Green Technology Innovation. International Journal of Environmental Research and Public Health. 2020; 17 (9):3211.

Chicago/Turabian Style

Shi Yin; Nan Zhang; Baizhou Li. 2020. "Improving the Effectiveness of Multi-Agent Cooperation for Green Manufacturing in China: A Theoretical Framework to Measure the Performance of Green Technology Innovation." International Journal of Environmental Research and Public Health 17, no. 9: 3211.

Journal article
Published: 01 May 2020 in Sustainability
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Since the United States, the European Union, China, and other countries put forward the development strategy of Internet of Things (IoT), it has been growing rapidly, leading to industrial restructuring and the sustainable development of various industries. Not only can collaborative innovation of the IoT industry accelerate R&D efficiency and product substitution frequency of IoT infrastructure, but also it can promote the construction of smart cities, the application of Big Data and Cloud Computing, and the development of 5G. In China, government is a leader and initiator of IoT infrastructure deployment. Therefore, in this paper, we construct an evolutionary game model of the IoT industry under government leadership represented by government, telecom equipment manufacturers, and telecom operators. Then, we analyze the asymptotic stability, equilibrium stability, and evolutionary stability strategy of the model. Finally, we carry out numerical simulation to investigate the effect of eight factors and four mechanisms on evolutionary behaviors of the three parties. The results show each factor has a different influence on them. Evolutionary game model offers ideas for government and industry subjects before the collaborative innovation of IoT infrastructure deployment in practice.

ACS Style

Jie Hou; Baizhou Li. The Evolutionary Game for Collaborative Innovation of the IoT Industry under Government Leadership in China: An IoT Infrastructure Perspective. Sustainability 2020, 12, 3648 .

AMA Style

Jie Hou, Baizhou Li. The Evolutionary Game for Collaborative Innovation of the IoT Industry under Government Leadership in China: An IoT Infrastructure Perspective. Sustainability. 2020; 12 (9):3648.

Chicago/Turabian Style

Jie Hou; Baizhou Li. 2020. "The Evolutionary Game for Collaborative Innovation of the IoT Industry under Government Leadership in China: An IoT Infrastructure Perspective." Sustainability 12, no. 9: 3648.

Journal article
Published: 31 March 2020 in Sustainability
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Although the innovation factor endowment of Heilongjiang province is relatively rich, many innovation resources cannot effectively promote the sustainable development of innovation-driven performance. The combined drift degree evaluation method and grey-DEMATEL model were used to study regional innovation performance in Heilongjiang province and the key factors influencing it. The results of this study show that the overall trend of regional innovation performance is slowly rising. Compared with other regions, the level of science and technology output is in the forefront, and the level of economic output and social effect is at the end. The innovation performance level of enterprises and research institutions is at the end position, showing a trend of slow rise and then slow decline. The innovation performance level of universities is in the middle position, showing a trend of rising first, then falling and then rising. The degree of marketization, the financial environment, the intellectual property system, the transformation of scientific and technological achievements and the level of human capital are the core factors that affect the regional innovation performance. The dominant position and leading role of regional enterprises and the cooperation between industry, university and research institutes should be strengthened through government policies.

ACS Style

Wenfei Xia; Baizhou Li; Shi Yin. Identification of Influencing Factors for Sustainable Development: Evaluation and Management of Regional Innovation Performance in Heilongjiang, China. Sustainability 2020, 12, 2739 .

AMA Style

Wenfei Xia, Baizhou Li, Shi Yin. Identification of Influencing Factors for Sustainable Development: Evaluation and Management of Regional Innovation Performance in Heilongjiang, China. Sustainability. 2020; 12 (7):2739.

Chicago/Turabian Style

Wenfei Xia; Baizhou Li; Shi Yin. 2020. "Identification of Influencing Factors for Sustainable Development: Evaluation and Management of Regional Innovation Performance in Heilongjiang, China." Sustainability 12, no. 7: 2739.

Journal article
Published: 25 March 2020 in Sustainability
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The rapid development of the construction industry, which has brought economic prosperity, has been accompanied by ecological and environmental crises incurred by the generation of building materials. The development of the green building materials (GBMs) industry provides the key to solving this problem. With the continuous promotion of Internet of Things strategies, cooperative innovation in integrated GBMs supply chain (IGBMSC) enterprises has become an important method of cooperative green innovation. The key strategy to realizing the development of the GBM industry is promoting the technological innovation of GBMs via innovative resources in the GBM supply chain. We examined the selection of green innovation partners for IGBMSCs, and the results are as follows: Partner selection for technological innovation is an important factor influencing green innovation among enterprises in the integrated GBMs supply chains. The method of selecting green innovation partners in IGBMSCs proposed in this study is a reasonable and effective dynamic selection decision-making method that can be used to improve the collaborative innovation capability of IGBMSCs. The investigation of IGBMSC cooperative innovation partners includes quality and capability, as well as the technology level, integration degree, integration and co-ordination ability, resource integration ability, and learning and absorption ability of partners.

ACS Style

Wenfei Xia; Baizhou Li; Shi Yin. A Prescription for Urban Sustainability Transitions in China: Innovative Partner Selection Management of Green Building Materials Industry in an Integrated Supply Chain. Sustainability 2020, 12, 2581 .

AMA Style

Wenfei Xia, Baizhou Li, Shi Yin. A Prescription for Urban Sustainability Transitions in China: Innovative Partner Selection Management of Green Building Materials Industry in an Integrated Supply Chain. Sustainability. 2020; 12 (7):2581.

Chicago/Turabian Style

Wenfei Xia; Baizhou Li; Shi Yin. 2020. "A Prescription for Urban Sustainability Transitions in China: Innovative Partner Selection Management of Green Building Materials Industry in an Integrated Supply Chain." Sustainability 12, no. 7: 2581.

Journal article
Published: 25 January 2020 in Sustainability
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The overall high-end of strategic emerging industries can be effectively promoted by strengthening the inter-industry innovation linkage effect. This paper constructs a strategic emerging industry innovation network based on industry correlation. This paper studies the development trend of the whole network structure and individual network characteristics and analyzes the influence of network structure characteristics on the attribute performance of each industry. The research results are as follows: (i) The innovation network as a whole was in a slight decline trend of low density during the sample investigation period, and the correlation level had great room for improvement. (ii) The high-end equipment manufacturing industry, the new materials industry, and the new-generation information technology industry occupy the center of the network, but their spillover effect on other industries is poor, and some industries even get more innovation benefits. (iii) The innovation network of China’s strategic emerging industries has the characteristics of cross-industry clustering, and the linkage effect between plates is insufficient, showing the characteristics of the “reflexivity” aggregation subgroup. (iv) The unreasonable connection mode of strategic emerging industries’ innovation network leads to the improvement of the centrality degree, which is not conducive to the innovation output of the industry. However, innovation output can be positively affected, to a certain extent, by improving the betweenness and closeness of the industries in the network.

ACS Style

Xue Wang; Baizhou Li; Shi Yin. The Convergence Management of Strategic Emerging Industries: Sustainable Design Analysis for Facilitating the Improvement of Innovation Networks. Sustainability 2020, 12, 900 .

AMA Style

Xue Wang, Baizhou Li, Shi Yin. The Convergence Management of Strategic Emerging Industries: Sustainable Design Analysis for Facilitating the Improvement of Innovation Networks. Sustainability. 2020; 12 (3):900.

Chicago/Turabian Style

Xue Wang; Baizhou Li; Shi Yin. 2020. "The Convergence Management of Strategic Emerging Industries: Sustainable Design Analysis for Facilitating the Improvement of Innovation Networks." Sustainability 12, no. 3: 900.

Journal article
Published: 10 January 2020 in Sustainability
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How to solve the contradiction between economic growth and ecological environmental protection is a practical problem that should be solved urgently at present. The development of green technology in the manufacturing industry must rely on technology innovation. However, the process of implementing green innovation in the manufacturing industry is full of high uncertainty and risk. First, the green innovation risks were divided into global green R&D risk, global green manufacturing risk, global green marketing risk, and global green service risk from the perspective of the process. Then, this study established a management criteria system of green innovation risk identification in the manufacturing industry under the global value chain (GVC). Furthermore, three methods were applied to identify the green innovation risk of the manufacturing industry under the GVC. Finally, this paper put forward the countermeasures to the green innovation risk of the manufacturing industry under the GVC. The empirical research results of this paper are as follows: From the perspective of the green innovation process, four risks are classified in this study, namely, global green R&D risk, global green manufacturing risk, global green marketing risk, and global green service risk. Among the four stages of green innovation risk, green marketing risk is the highest, followed by green service risk, and green R&D risk and green manufacturing risk are the least. Global green service risk and green R&D risk can be reduced mainly through risk diversification and risk reduction. Global green manufacturing risk and green marketing risk can be reduced mainly through risk diversification and secondary through risk reduction.

ACS Style

Yingying Sun; Kexin Bi; Shi Yin. Measuring and Integrating Risk Management into Green Innovation Practices for Green Manufacturing under the Global Value Chain. Sustainability 2020, 12, 545 .

AMA Style

Yingying Sun, Kexin Bi, Shi Yin. Measuring and Integrating Risk Management into Green Innovation Practices for Green Manufacturing under the Global Value Chain. Sustainability. 2020; 12 (2):545.

Chicago/Turabian Style

Yingying Sun; Kexin Bi; Shi Yin. 2020. "Measuring and Integrating Risk Management into Green Innovation Practices for Green Manufacturing under the Global Value Chain." Sustainability 12, no. 2: 545.

Journal article
Published: 01 August 2019 in Science of The Total Environment
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The transformation from the building material industry (BMI) to green BMI (GBMI) is not only of great significance to the upgrading of traditional BMI, but also has a pivotal role in promoting the sustainable development of cities. This paper studies the governance mechanism of the BMI in transformation to GBMI from the perspective of supply-side and demand-side of green building. First, evolutionary game theory is used to develop two three-party dynamic game models including building materials enterprises (BME), government, building developers (BD) and building consumers (BC). Second, numerical simulation experiment method is used to study the multi-stage governance mechanism based on the model deduction and the theoretical analysis of green transformation. The numerical simulation results show that the infrastructure construction projects on green building is an important governance mechanism for the rapid development of the GBMI, and the green innovation subsidy is a core governance mechanism for the high-quality development. The punishment of pollution and fraud compensation punishment and green innovation subsidy to green BME, tax incentives to green BD and purchase subsidy to green BC are conducive to promoting the change of the concept of green production and consumption. The aforementioned mechanisms and infrastructure construction contribute to promoting the production of green building materials in BME through developing and purchasing green buildings. The infrastructure construction and green innovation subsidy play a pivotal role in the high-quality development of the GBMI. This study not only reveals the theoretical mechanism of the BMI in transformation to GBMI under government-driven, but also provides a practical guidance for formulating high-quality development policies for GBMI. In addition, questionnaire method can be used to effectively solve the problem of bringing the four parties into a unified framework for future research.

ACS Style

Shi Yin; Baizhou Li; Zeyu Xing. The governance mechanism of the building material industry (BMI) in transformation to green BMI: The perspective of green building. Science of The Total Environment 2019, 677, 19 -33.

AMA Style

Shi Yin, Baizhou Li, Zeyu Xing. The governance mechanism of the building material industry (BMI) in transformation to green BMI: The perspective of green building. Science of The Total Environment. 2019; 677 ():19-33.

Chicago/Turabian Style

Shi Yin; Baizhou Li; Zeyu Xing. 2019. "The governance mechanism of the building material industry (BMI) in transformation to green BMI: The perspective of green building." Science of The Total Environment 677, no. : 19-33.

Journal article
Published: 12 July 2019 in Processes
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With the deep integration of supply chain with Internet and Internet of things, it is an important way for enterprises to win market competition and seek sustainable development to develop green new products through external green supply chain integration (GSCI). This study established a unified research framework of external GSCI, knowledge spiral (KS), green new product development (NPD), and top management’s environmental awareness (TMEA). Structural equation modeling and analytic hierarchy process are used to explore the mechanism of the established research framework. The research results of this paper are as follows: (i) Green supplier integration (SI) and green consumer integration (CI) have significant positive effects on green NPD speed (GS), green NPD quality (GQ), and KS, and KS has a significant positive effect on GS and GS, respectively. Compared with green CI, green SI has a greater impact on KS, GS, and GQ. In addition, compared with GS, KS has a greater impact on GQ; (ii) KS has a significant partial mediating effect in the relationship between green CI, GS, and GQ. Compared with GS, KS has stronger mediating effect between green CI and GQ. Compared with green SI, the equivalent KS capability is more significant in integrating green customer information; (iii) TMEA has a significant moderating effect on the relationship between KS, and GQ and has no significant moderating effect on the relationship between KS and GS. Future research will analyze the mediating effect of the four dimensions of KS in the relationship between external GSCM and the green NPD speed and green NPD quality.

ACS Style

Shi Yin; Baizhou Li; Xiaoyan Zhang; Meili Zhang. How to Improve the Quality and Speed of Green New Product Development? Processes 2019, 7, 443 .

AMA Style

Shi Yin, Baizhou Li, Xiaoyan Zhang, Meili Zhang. How to Improve the Quality and Speed of Green New Product Development? Processes. 2019; 7 (7):443.

Chicago/Turabian Style

Shi Yin; Baizhou Li; Xiaoyan Zhang; Meili Zhang. 2019. "How to Improve the Quality and Speed of Green New Product Development?" Processes 7, no. 7: 443.

Journal article
Published: 30 April 2019 in Sustainable Cities and Society
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While eco-economy policy drives green building technologies (GBTs) innovation for the development of urban green building, GBTs innovation is still plagued with various barriers. Although many studies have examined the issues on GBTs innovation, few have specifically conducted on partner selection for GBTs innovation. This study not only proposed a criteria framework based on niche theory for niche-fitness evaluation, but also developed a novel niche field model for the selecting management of GBTs innovation partner based on field theory. First, fuzzy set theory is used to obtain the cooperation aspiration of academic research institutes according to the criteria framework. Moreover, fuzzy prospect theory is introduced to help construction enterprises avoid risks blindly or like risks, so that decision-making is more reasonable. Second, the combined method of VIKOR method and improved ELECTRE method considering compensatory and non-compensatory decision rules is coupled with the criteria weight calculated by entropy measure method to evaluate the niche-fitness of academic research institutes. Furthermore, a novel niche field model considering resource complementarity is developed to select a best academic research institute. Finally, the results of a case study shows that the criteria framework and the niche field model can be applied to real-world partner selection for GBTs innovation and yield selecting results that are more realistic. This study proposes a theoretical framework based on niche strength and degree of niche overlap for niche-fitness evaluation, and innovation ability, trust and communication degree, and compatibility level are reasonably incorporated into the theoretical framework. Moreover, this study also theoretically expends the applications of field theory considering resource complementarity with fuzzy linguistic information in collaborative innovation paradigm. In addition, this study can help construction enterprises select their GBT innovation partners from the masses of academic research institutes, and thereby promote GBTs innovation activities.

ACS Style

Shi Yin; Baizhou Li. Academic research institutes-construction enterprises linkages for the development of urban green building: Selecting management of green building technologies innovation partner. Sustainable Cities and Society 2019, 48, 101555 .

AMA Style

Shi Yin, Baizhou Li. Academic research institutes-construction enterprises linkages for the development of urban green building: Selecting management of green building technologies innovation partner. Sustainable Cities and Society. 2019; 48 ():101555.

Chicago/Turabian Style

Shi Yin; Baizhou Li. 2019. "Academic research institutes-construction enterprises linkages for the development of urban green building: Selecting management of green building technologies innovation partner." Sustainable Cities and Society 48, no. : 101555.

Journal article
Published: 08 August 2018 in Journal of Cleaner Production
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Although green building technologies (GBTs) have been advocated to address sustainability issues, their transfer from academic research institutions to building enterprises is still plagued with barriers. For reducing transfer barriers between suppliers and users of GBTs, a practical matching method of the key issues influencing its progress is crucial. While numerous studies have examined the issues influencing GBTs transfer in general, few have been specifically conducted on matching methods for matching supply and demand of GBTs. This study aims to propose an efficient and practical matching decision making method for matching management of GBTs supply and demand based on intuitionistic fuzzy sets (IFS) and considering interactions among aspiration criteria. First, a framework for two-sided matching of GBTs exchange is established. In the framework, IFS theory is used to express the matching aspiration of suppliers and users of GBTs. Moreover, numerous aspirations are transformed into integrated aspirations by intuitionistic fuzzy geometric weighted Heronian mean (IFGWHM) operator considering interactions among aspiration criteria. Furthermore, a two-sided matching model is proposed based on the score matrices calculated using the integrated aspirations. And then the model is converted into a single-objective optimization model by a linear weighted method. Finally, a case study demonstrates that the proposed approach can be applied to real-world GBTs trading and yields matching results that are more consistent with the reality. This study adds to the green building literature by analyzing matching management of supply and demand of GBTs, which could help policy makers take suitable matching measures to improve the success rate of GBTs matching and thereby promote the GBTs transfer from academic research institutes to building enterprises. This research also improves and extends the applications of the two-sided matching theory in the technology transfer paradigm.

ACS Style

Shi Yin; Baizhou Li. Matching management of supply and demand of green building technologies based on a novel matching method with intuitionistic fuzzy sets. Journal of Cleaner Production 2018, 201, 748 -763.

AMA Style

Shi Yin, Baizhou Li. Matching management of supply and demand of green building technologies based on a novel matching method with intuitionistic fuzzy sets. Journal of Cleaner Production. 2018; 201 ():748-763.

Chicago/Turabian Style

Shi Yin; Baizhou Li. 2018. "Matching management of supply and demand of green building technologies based on a novel matching method with intuitionistic fuzzy sets." Journal of Cleaner Production 201, no. : 748-763.

Journal article
Published: 01 May 2018 in Sustainable Cities and Society
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ACS Style

Shi Yin; Baizhou Li. Transferring green building technologies from academic research institutes to building enterprises in the development of urban green building: A stochastic differential game approach. Sustainable Cities and Society 2018, 39, 631 -638.

AMA Style

Shi Yin, Baizhou Li. Transferring green building technologies from academic research institutes to building enterprises in the development of urban green building: A stochastic differential game approach. Sustainable Cities and Society. 2018; 39 ():631-638.

Chicago/Turabian Style

Shi Yin; Baizhou Li. 2018. "Transferring green building technologies from academic research institutes to building enterprises in the development of urban green building: A stochastic differential game approach." Sustainable Cities and Society 39, no. : 631-638.