Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 9, 2023


Pages


DOI

Article

Research on green-driven product value creation process


Authors

Li Zhu Affiliation:
School of Economics & Management, Nanjing University of Science & Technology, Nanjing, Jiangsu, 210094, China.


Abstract

With the rapid economic development in recent years, environmental problems such as environmental pollution, resource waste, greenhouse gas emission and habitat destruction caused by production activities have become increasingly serious. This paper carries out a systematic analysis of the endogenous growth model of product value under green-driven innovation and constructs the product R&D module, production module, raw material supply chain module and marketing module, respectively, to improve the final product value. Finally, with the design and analysis of case-related indicators, combining the characteristics of Company H itself and the availability of data and other factors, suitable indicators are selected to measure the ability of green-driven innovation and product value of the enterprise, and Tobin’s Q value is selected as the indicator to measure the value of the enterprise. The empirical test results show that: through green-driven innovation H company green-driven innovation Tobin’s Q value increased by 13.35 points, and the regression coefficient of green-driven innovation on product value is β = 0.613 (p<0.001), indicating that green-driven innovation has a significant positive impact on product value. This paper empirically verifies the effectiveness of green-driven product value addition, which has practical implications for strengthening the awareness of green innovation within companies and improving product value.


Keywords

Green-driven innovation, Endogenous growth model, Production module, Product value, Tobin’s Q value, 97M80


Citation

Zhu, L. (2023). Research on green-driven product value creation process. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00570
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