The Impact of Science and Technology Innovation on Carbon Emission Reduction Efficiency--Based on the input-output perspective

Authors

  • Ruiyang Xu

DOI:

https://doi.org/10.54097/hset.v50i.8458

Keywords:

Innovation Management, Data Envelope Analysis, Carbon Emission Efficiency.

Abstract

Using 30 provinces, municipalities and autonomous regions in China from 2013 to 2019 as the research objects, the dynamic benefits of emerging technologies and high technology on reducing carbon emission reduction efficiency was analyzed from the input-output perspective using the DEA-Malmquist method and by calculating the Malmquist index. Tobit regression analysis was also used to further investigate the factors influencing the differences in carbon emission reduction efficiency between different provinces and cities. The findings show that: i) science and technology innovation has a significant positive effect on reducing carbon emissions, and factors such as R&D funding have a positive effect on efficiency; ii) the regional tertiary industry share positively moderates this effect, while the regional Internet development level negatively moderates this effect. Finally, based on the results of the empirical study, we analyze the reasons for the changes of carbon emission reduction efficiency in each region and propose management suggestions to promote the improvement of carbon emission reduction efficiency.

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References

Robertson P J, Choi T. Ecological governance: Organizing principles for an emerging era[J]. Public administration review, 2010, 70: s89-s99.

Sun Bing, Xie Wei, Wang Hongru, Li Yonghua. New Era, New Journey, New Brilliance--Representatives of the 20th National Congress and people from all walks of life enthusiastically discuss the report of the 20th National Congress[J]. China Economic Weekly,2022(20):26-36.

Dietz T, Rosa E A. Rethinking the environmental impacts of population, affluence and technology[J]. Human ecology review, 1994, 1(2): 277-300.

Ang J B. CO2 emissions, research and technology transfer in China[J]. Ecological Economics, 2009, 68(10): 2658-2665.

Li Kailai,Qi Shaozhou. Trade openness, economic growth and carbon dioxide emissions in China[J]. Economic Research,2011,46(11):60-72+102.

Li Guifa, Wang Qiuyue. The spatial spillover effect of green R&D investment on carbon productivity--based on the moderating effect of fiscal decentralization[J]. Industrial Technology Economics,2020,39(11):83-91.

Zhang Xuefeng,Song Dove,Yan Yong. A study on the impact of factor inputs on industrial carbon productivity in China--empirical data from Heckman's two stages[J]. Economic Issues,2021(06):60-64.

Ma Dalai, Chen Zhongchang, Wang Ling. Spatial measurement of inter-provincial carbon emission efficiency in China[J]. China Population-Resources and Environment,2015,25(01):67-77.

Qu, Chen-Yao, Li, Lian-Shui, Cheng, Zhonghua. Carbon emission efficiency of Chinese manufacturing industry and its influencing factors[J]. Science and Technology Management Research,2017,37(08):60-68.

Wang, Hui, Bian, Yijie, Wang, Shuqiao. Export trade, dynamic evolution of industrial carbon emission efficiency and spatial spillover[J]. Quantitative Economic and Technical Economics Research,2016,33(01):3-19.

Yang Z, Fan M, Shao S, et al. Does carbon intensity constraint policy improve industrial green production performance in China? A quasi-DID analysis[J]. Energy economics, 2017, 68: 271-282.

Cao Xia, Yu Juan. Research on regional innovation efficiency in China from a green and low-carbon perspective[J]. China Population-Resources and Environment,2015,25(05):10-19.

Huang Juan. The relationship between science and technology innovation and green development--and the road of green science and technology innovation with Chinese characteristics[J]. Journal of Xinjiang Normal University (Philosophy and Social Science Edition),2017,38(02):33-41.

Li Yina,Ye Fei. The relationship between institutional pressure, green innovation practices and firm performance - based on the perspective of new institutionalism theory and ecological modernization theory[J]. Scientific Research,2011,29(12):1884-1894.DOI:10.16192/j.cnki.1003-2053.2011.12.018.

Hashimoto A, Haneda S. Measuring the change in R&D efficiency of the Japanese pharmaceutical industry[J]. Research policy, 2008, 37(10): 1829-1836.

Färe R, Grosskopf S, Norris M, et al. Productivity growth, technical progress, and efficiency change in industrialized countries[J]. The American economic review, 1994: 66-83.

Guan Y, Shan Y, Huang Q, et al. Assessment to China's recent emission pattern shifts[J]. Earth's Future, 2021, 9(11): e2021EF002241.

Shan Y, Huang Q, Guan D, et al. China CO2 emission accounts 2016–2017. Scientific Data 7, 1–9[J]. 2020.

Shan Y, Guan D, Zheng H, et al. China CO2 emission accounts 1997–2015[J]. Scientific data, 2018, 5(1): 1-14.

Shan Y, Liu J, Liu Z, et al. New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors[J]. Applied Energy, 2016, 184: 742-750.

Ge Shisai, Zeng Gang, Hu Hao, Cao Xianzhong. Evaluation of green innovation capacity and spatial characteristics of the Yangtze River Delta urban agglomeration[J]. Yangtze River Basin Resources and Environment,2021,30(01):1-10.

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Published

21-05-2023

How to Cite

Xu, R. (2023). The Impact of Science and Technology Innovation on Carbon Emission Reduction Efficiency--Based on the input-output perspective. Highlights in Science, Engineering and Technology, 50, 1-9. https://doi.org/10.54097/hset.v50i.8458