Tracing Knowledge Development Trajectories of the Internet of Things Domain: A Main Path Analysis

Self Cite

Existing research mainly focuses on the external impact of incentive policies of industrialized/manufactured construction (IMC). However, it is still unclear how the transmission mechanism among cities and regions of IMC incentive policies works in the process of formulation. To fill the knowledge gap, this study establishes a relationship matrix to propose the transmission-weighted complex network (TWCN). Degree distribution and clustering coefficient are used to calculate the transmission path and the transmission intensity of TWCN. The validation is based on data collected from 415 policy documents (2010–2018) and 2923 items from 181 nodes of the TWCN for IMC policies. The findings show that transmission path of IMC incentive policies is from the eastern coast of China to the central, western and northern regions. Fiscal and taxation incentives have the greatest intensity of spatial agglomeration in the transmission process. The results of the TWCN are consistent and conform to the scientific and rational expectations of research. Overall, the research outcomes are applicable to studies on sustainability policies in different fields, including sustainable construction, renewable energy, etc. Policy makers can implement the TWCN to recognize the performance and functions of different incentives and propose effective strategies to achieve sustainability.

Section: Complex Networkmentioning

confidence: 99%

Complex Network Analysis of Transmission Mechanism for Sustainable Incentive Policies

Feng

Guo

et al. 2020

Self Cite

“…Enterprises may also work with external agencies to improve Sustainability 2019, 11, 6588 7 of 18 production processes or treat pollutants. According to the studies of Zhao [32] and Cai [33], the following observation variables were set to measure green production technology (Table 3). Table 1.…”

Section: Questionnaire Designmentioning

confidence: 99%

A Study on the Relationship between Paradox Cognition, Green Industrial Production, and Corporate Performance

Gao

Khan

2019

Based on the theory of paradox cognition, a relationship model among paradox cognition, industrial green production, and enterprise performance has been constructed, which mainly focuses on a study on whether the paradox cognition can have positive influences on the green production behavior of industrial enterprises, and then further promote the improvement of enterprises' economic benefits. The author wrote this thesis on the basis of results obtained from 305 sample surveys and verified the direct and indirect influence relationships among variables in the model with structural equation path coefficient and mediation effect. The empirical results show that: firstly, paradox cognition has a positive and significant impact on the industrial green production behavior. The higher the level of paradox cognition, the more likely the enterprises are to implement the industrial green production behavior. Secondly, paradox cognition can improve the potential performance of enterprises by affecting "green product provision", "green production management", and "green production technology", and then indirectly improve the financial performance of enterprises.

“…In the design of the questionnaire, in order to improve the validity and reliability of the questionnaire as much as possible, the authors tried to find the classic relevant questionnaires in relevant fields or other questionnaires, which have been successfully applied in relevant research and modified them to achieve the purpose of this study. All data were measured by Likert 7 scales [18,19]. The semantic difference method or measurement method was adopted in the questionnaire.…”

Section: Factor Identification and Surveymentioning

confidence: 99%

Exploring Critical Variables That Affect the Policy Risk Level of Industrial Heritage Projects in China

Guo

Zhang

et al. 2019

With the rapid development of the transformation and urbanization of Chinese social structures, more and more industrial heritage renewal projects are emerging. However, there are significant policy risks associated with Chinese industrial heritage renewal projects. Through a literature review, a total of 20 policy risk factors were determined, and a total of 10 industrial heritage renewal project managers in six regions nationwide conducted a pilot study. A questionnaire survey was conducted to collect 398 evaluations of these 20 risk factors from relevant professionals. Secondly, through confirmatory factor analysis, a six-part policy risk assessment model was established. The results indicated that the critical variables that affect the policy risk level were: (1) industry maturity, (2) tax policy, (3) financial freedom, (4) the rule of law, (5) local market size, and (6) local market experience. Moreover, there are significant opportunities and policy risks in Chinese industrial heritage renewal projects, and appropriate strategies can capture these opportunities and mitigate risks. As there are few pieces of research on the policy risks of industrial heritage renewal projects in China, this study has a certain reference significance for the policy risk management of industrial heritage renewal projects in China.