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4. Evaluating Green Technology Innovation Capability in Intelligent Manufacturing Enterprises: A <inline-formula><tex-math notation="LaTeX">$Z$</tex-math></inline-formula>-Number-Based Model

Author

Su, Yi, Chai, Jiahui, Lu, Sichong, and Lin, Zhouzhou

Abstract

Green technology innovation (GTI) capability plays an important role in realizing the sustainable development of intelligent manufacturing (IM) industry. Extensive research has addressed the evaluation of GTI capability. However, existing evaluation models primarily include either qualitative or quantitative indexes. Rarely do they integrate both types of indexes simultaneously. To address this gap, we establish two types of GTI capability evaluation index system from the perspective of core competitiveness. Then, we propose the concept of the interval linguistic $Z$-number vector (ILZNV) based on the $Z$-number to represent $n$-dimensional uncertain information of GTI capability evaluation. Subsequently, theories regarding ILZNVs, including normalization, operational rules, comparison method, and distance measure, are discussed. We also propose a method for unifying both types of index data by converting numerical values to ILZNVs. After determining decision makers' combined weights and attribute weights, a multiattribute group decision-making model is developed using operators and the MULTIMOORA method of ILZNVs. The model is then applied to evaluate the GTI capability of IM enterprises. Comparative analysis demonstrates the effectiveness and superiority of the proposed method. Finally, we present several managerial and theoretical implications.

Published
2024
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10. Nonlinear impact of the interaction between internal knowledge and knowledge spillover on patent quality: Evidence from China's provincial high‐tech industry.

Author

Lin, Zhouzhou, Li, Shengnan, Zhou, Haiwei, and Wei, Xuan

Subjects
INTELLECTUAL property, HIGH technology industries, PATENTS, PATENT law, PROVINCES, PANEL analysis
Abstract

This paper first divides knowledge resources into internal knowledge and knowledge spillover from the dual perspective of inside and outside the region. Then, a panel threshold regression model is constructed by using the panel data from 30 provincial high‐tech industries in China during the 2009–2019 period using the intellectual property protection intensity as the threshold variable, and the nonlinear impact of the interaction between internal knowledge and knowledge spillover on the patent quality in the high‐tech industry is empirically explored. The results show the following. (1) The interaction between internal knowledge and knowledge spillover has a significant nonlinear effect on the patent quality in China's provincial high‐tech industry. There is a double‐threshold effect with the intellectual property protection intensity as the threshold variable. (2) As the threshold value of the intellectual property protection intensity increases, the promotion effect of the interaction between internal knowledge and knowledge spillover on the patent quality first increases and then decreases. (3) The spatiotemporal heterogeneity of the intellectual property protection intensity is obvious in all regions in China. (4) Internal knowledge, the infrastructure construction level, and the human capital level have significant positive effects on the patent quality, while knowledge spillover and the opening‐up level have significant negative effects. [ABSTRACT FROM AUTHOR]

Published
2023
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