Industrial Innovation on the Green Transformation of Manufacturing Commerce
Keywords:Technological Innovation, Manufacturing, Green Transformation, Efficiency Measurement
The manufacturing industry is the foundation and pillar of the national economy. With the background of China’s economic development entering a new era and fully implementing the innovation-driven development strategy, the manufacturing sector’s level of green transformation has been realized as one of the critical indicators of China’s economic development. Technology innovation-driven green manufacturing industry transformation is a crucial strategy to achieve high-quality economic development and boost global competitiveness in the context of a new round of technological revolution and industrial reform closely entwined with China's economic transformation and development. Based on this, we take the green transformation of China’s manufacturing industry as the theme, focus on industries, regions, and strategic industries, and explore the impact and spatial linkage effect of technological innovation on the green transformation of the manufacturing industry. Based on the research perspective of manufacturing industry development heterogeneity, we construct the slack based measure - Undesirable-Malmquist-Tobit comprehensive evaluation method and put forward the driving role and impact of technological innovation on the green transformation of the manufacturing industry. The manufacturing industry is categorized into three categories based on the level of pollution, such as clean industry, medium pollution industry and heavy pollution industry. It is found that the green development efficiency of the clean manufacturing industry is the highest, followed by the heavy pollution industry, and the efficiency of the medium pollution industry is the lowest.
Abernathy, W. J., & Utterback, J. M. (1978). Patterns of industrial innovation. Technology Review, 80(7), 40-47.
Al-Mulali, U., & Tang, C. F. (2013). Investigating the validity of pollution haven hypothesis in the gulf cooperation council (GCC) countries. Energy Policy, 60, 813-819. https://doi.org/10.1016/j.enpol.2013.05.055
Bei, J. (2018). Study on the “high-quality development” economics. China Political Economy. https://doi.org/10.1108/CPE-10-2018-016
Bi, K., Huang, P., & Wang, X. (2016). Innovation performance and influencing factors of low-carbon technological innovation under the global value chain: A case of the Chinese manufacturing industry. Technological Forecasting and Social Change, 111, 275-284. https://doi.org/10.1016/j.techfore.2016.07.024
Bruton, G. D., Ahlstrom, D., & Chen, J. (2021). China has emerged as an aspirant economy. Asia Pacific Journal of Management, 38(1), 1-15. https://doi.org/10.1007/s10490-018-9638-0
Cheba, K., Bąk, I., Szopik-Depczyńska, K., & Ioppolo, G. (2022). Directions of green transformation of the European Union countries. Ecological Indicators, 136, 108601. https://doi.org/10.1016/j.ecolind.2022.108601
Dasgupta, S., Laplante, B., Wang, H., & Wheeler, D. (2002). Confronting the environmental Kuznets curve. Journal of economic perspectives, 16(1), 147-168. DOI: 10.1257/0895330027157
Du, K., Cheng, Y., & Yao, X. (2021). Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities. Energy Economics, 98, 105247. https://doi.org/10.1016/j.eneco.2021.105247
Fan, F., Lian, H., Liu, X., & Wang, X. (2021). Can environmental regulation promote urban green innovation Efficiency? An empirical study based on Chinese cities. Journal of Cleaner Production, 287, 125060. https://doi.org/10.1016/j.jclepro.2020.125060
Fang, G., Wang, Q., & Tian, L. (2020). Green development of Yangtze River Delta in China under population-resources-environment-development-satisfaction perspective. Science of The Total Environment, 727, 138710. https://doi.org/10.1016/j.scitotenv.2020.138710
Gereffi, G. (1999). International trade and industrial upgrading in the apparel commodity chain. Journal of international economics, 48(1), 37-70. https://doi.org/10.1016/S0022-1996(98)00075-0
Hao, Y., Liao, H., & Wei, Y. M. (2014). The environmental Kuznets curve for China’s per capita energy consumption and electricity consumption: An empirical estimation on the basis of spatial econometric analysis. China Soft Sci, 1, 134-146.
Hering, L., & Poncet, S. (2014). Environmental policy and exports: Evidence from Chinese cities. Journal of Environmental Economics and Management, 68(2), 296-318. https://doi.org/10.1016/j.jeem.2014.06.005
Hoffmann, W. G. (1958). The growth of industrial economies. Manchester University Press.
Hsu, I. C. (1974). The Rise of Modern China. OSS, R&A, 669, 683-84. https://doi.org/10.1017/s0305741000042995
Jummani, M. O., & Shaikh, S. (2021). Social Media Marketing: Prospects and Opportunities
for Small and Medium Enterprises. Journal of Marketing Strategies, 1(1), 63 - 83.
Кniazieva, О. (2021). Digital Development of economy and society under influence of COVID-19. Sci. in Nov, 17(1), 42-53. DOI: https://doi.org/10.15407/scine17.01.042
Li, L., & Tao, F. (2012). The choice of the optimal environmental regulation intensity in China’s manufacturing industry—Based on the perspective of green total factor productivity. China Industrial Economics, 5, 70-82. 10.1088/0022-3727/44/33/335201
Li, M., & Guan, S. (2022). Does China's state-owned sector lead industrial transformation and upgrading? Journal of Cleaner Production, 338, 130412. https://doi.org/10.1016/j.jclepro.2022.130412
Liang, G., Yu, D., & Ke, L. (2021). An empirical study on the dynamic evolution of industrial structure and green economic growth—Based on data from China’s underdeveloped areas. Sustainability, 13(15), 8154. https://doi.org/10.3390/su13158154
Liu, K., & Daly, K. (2011). Foreign direct investment in China's manufacturing industry-transformation from a low tech to high tech manufacturing. International Journal of Business and Management, 6(7), 15. DOI: 10.5539/IJBM.V6N7P15
Liu, Q., Leng, J., Yan, D., Zhang, D., Wei, L., Yu, A., ... & Chen, X. (2021). Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system. Journal of Manufacturing Systems, 58, 52-64. https://doi.org/10.1016/j.jmsy.2020.04.012
Long, X., Zhao, X., & Cheng, F. (2015). The comparison analysis of total factor productivity and eco-efficiency in China's cement manufactures. Energy Policy, 81, 61-66. https://doi.org/10.1016/j.enpol.2015.02.012
Nagaraj, V. (2022). How Product Managers Use Senseshaping to Drive the Front-end of Digital Product Innovation: The five senseshaping practices presented here can help product managers recognize, interpret, and respond appropriately to new information in the front-end of digital innovation. Research-Technology Management, 65(2), 29-40. https://doi.org/10.1080/08956308.2022.2014718
Naim, A., Muniasamy, A., Clementking, A., & Rajkumar, R. (2022). Relevance of Green Manufacturing and IoT in Industrial Transformation and Marketing Management. In Computational Intelligence Techniques for Green Smart Cities (pp. 395-419). Springer, Cham. https://doi.org/10.1007/978-3-030-96429-0_19
Palmié, M., Miehé, L., Oghazi, P., Parida, V., & Wincent, J. (2022). The evolution of the digital service ecosystem and digital business model innovation in retail: The emergence of meta-ecosystems and the value of physical interactions. Technological Forecasting and Social Change, 177, 121496. https://doi.org/10.1016/j.techfore.2022.121496
Pan, W., Xie, T., Wang, Z., & Ma, L. (2022). Digital economy: An innovation driver for total factor productivity. Journal of Business Research, 139, 303-311. https://doi.org/10.1016/j.jbusres.2021.09.061
Peng, Y., Chen, Z., & Lee, J. (2020). Dynamic convergence of green total factor productivity in Chinese cities. Sustainability, 12(12), 4883. https://doi.org/10.3390/su12124883
Porter, M. E. (1990). The competitive advantage of nations, London, and Basingstoke.
Rajan, R. G., & Zingales, L. (2001). Financial systems, industrial structure, and growth. Oxford review of economic Policy, 17(4), 467-482. https://doi.org/10.1093/oxrep/17.4.467
Ralph, B. J., Woschank, M., Pacher, C., & Murphy, M. (2022). Evidence-based redesign of engineering education lectures: Theoretical framework and preliminary empirical evidence. European Journal of Engineering Education, 47(4), 636-663. https://doi.org/10.1080/03043797.2021.2025341
Rostow, W. W., & Rostow, W. W. (1990). The stages of economic growth: A non-communist manifesto. Cambridge University Press.
Soluk, J. (2022). Organisations’ Resources and External Shocks: Exploring Digital Innovation in Family Firms. Industry and Innovation, 1-33. https://doi.org/10.1080/13662716.2022.2065971
Wang, H., Wang, Y., Wang, H., Liu, M., Zhang, Y., Zhang, R., ... & Bi, J. (2014). Mitigating greenhouse gas emissions from China's cities: Case study of Suzhou. Energy Policy, 68, 482-489. https://doi.org/10.1016/j.enpol.2013.12.066
Wang, W. K., Lu, W. M., & Wang, S. W. (2014). The impact of environmental expenditures on performance in the US chemical industry. Journal of cleaner production, 64, 447-456. https://doi.org/10.1016/j.jclepro.2013.10.022
Wilkins, M. (2008). Chandler and Global Business History. Business History Review, 82(2), 251–266. https://doi.org/10.1017/s0007680500062759
Wu, C., Wei, Y. D., Huang, X., & Chen, B. (2017). Economic transition, spatial development and urban land use efficiency in the Yangtze River Delta, China. Habitat International, 63, 67-78. https://doi.org/10.1016/j.habitatint.2017.03.012
Wu, W., Zhang, T., Xie, X., & Huang, Z. (2021). Regional low carbon development pathways for the Yangtze River Delta region in China. Energy Policy, 151, 112172. https://doi.org/10.1016/j.enpol.2021.112172
Yang, H., Li, L., & Liu, Y. (2022). The effect of manufacturing intelligence on green innovation performance in China. Technological Forecasting and Social Change, 178, 121569. https://doi.org/10.1016/j.techfore.2022.121569
Yu, X., & Wang, P. (2021). Economic effects analysis of environmental regulation policy in the process of industrial structure upgrading: Evidence from Chinese provincial panel data. Science of the Total Environment, 753, 142004. https://doi.org/10.1016/j.scitotenv.2020.142004
Zhen, Z., Yousaf, Z., Radulescu, M., & Yasir, M. (2021). Nexus of digital organizational culture, capabilities, organizational readiness, and innovation: Investigation of SMEs operating in the digital economy. Sustainability, 13(2), 720. https://doi.org/10.3390/su13020720
Zhou, X., Cai, Z., Tan, K. H., Zhang, L., Du, J., & Song, M. (2021). Technological innovation and structural change for economic development in China as an emerging market. Technological Forecasting and Social Change, 167, 120671. https://doi.org/10.1016/j.techfore.2021.120671
Zhou, X., Song, M., & Cui, L. (2020). Driving force for China’s economic development under Industry 4.0 and circular economy: Technological innovation or structural change? Journal of Cleaner Production, 271, 122680. https://doi.org/10.1016/j.jclepro.2020.122680
How to Cite
Copyright (c) 2022 Authors retain the copyright to the content of the articles published in JMS
This work is licensed under a Creative Commons Attribution 4.0 International License.
Ethical standards for publication are maintained by JMS to ensure high-quality scientific publications and public trust
in scientific findings, and that people receive credit for their work and ideas.
The Journal of Marketing Strategies (JMS) follows the Committee on Publication Ethics (COPE) and adheres to its core practices.