Is Technological Innovation Effective for Energy Saving and Carbon Emissions Reduction? Evidence From China

Technological innovation is increasingly becoming an important way to develop a low-carbon economy. Recently, exploring the driving path of low-carbon development has become the hot topic, however, the role of energy consumption in the carbon-reduction effect of technological innovation has been ignored. Based on China’s provincial-level panel data from 2005 to 2016, this paper investigates the effect of technological innovation on energy saving and carbon emissions reduction and the role of energy consumption in the influencing process by using linear regression model, mediating effect model and threshold regression model. The results show that technological innovation has effectively promoted energy saving and carbon emissions reduction in China, with different effect coefficients between the three areas of China. Moreover, energy consumption plays a significant partial mediating role in the effect of technological innovation on carbon emissions reduction. Finally, the effect of technological innovation on carbon emissions is limited by energy consumption. Low energy consumption significantly promotes a reduction in carbon emissions through technological innovation. Once energy consumption exceeds a critical level, the promoting effect of technological innovation on carbon emissions reduction will turn into the inhibiting effect. Based on these findings, some policy recommendations are put forward to accelerate the low-carbon transformation of the economy.

[1]  Shaun S. Wang,et al.  CO2 emissions, energy consumption and economic growth in China: A panel data analysis , 2011 .

[2]  W. Gu,et al.  Energy technological progress, energy consumption, and CO2 emissions: Empirical evidence from China , 2019, Journal of Cleaner Production.

[3]  Boqiang Lin,et al.  The role of renewable energy technological innovation on climate change: Empirical evidence from China. , 2019, The Science of the total environment.

[4]  Thompson S. H. Teo,et al.  Does industrial green transformation successfully facilitate a decrease in carbon intensity in China? An environmental regulation perspective , 2018 .

[5]  C. Mensah,et al.  The effect of innovation on CO2 emissions of OCED countries from 1990 to 2014 , 2018, Environmental Science and Pollution Research.

[6]  Meili Zhang,et al.  How to Improve the Quality and Speed of Green New Product Development? , 2019, Processes.

[7]  Chu Wei,et al.  Economic development and carbon dioxide emissions in China: Provincial panel data analysis , 2012 .

[8]  Muhammad Shahbaz,et al.  Carbon emissions, energy consumption and economic growth: An aggregate and disaggregate analysis of the Indian economy , 2016 .

[9]  J. Roberts,et al.  Carbon intensity and economic development 1962–1991: A brief exploration of the environmental Kuznets curve , 1997 .

[10]  Ke Li,et al.  The path of technological progress for China's low-carbon development: Evidence from three urban agglomerations , 2018 .

[11]  Hongbo Zhang,et al.  Technological innovation, environmental regulation, and green total factor efficiency of industrial water resources , 2019, Journal of Cleaner Production.

[12]  Samuel Asumadu Sarkodie,et al.  Toward a sustainable environment: Nexus between CO2 emissions, resource rent, renewable and nonrenewable energy in 16-EU countries. , 2019, The Science of the total environment.

[13]  Xingle Long,et al.  Different impacts of export and import on carbon emissions across 7 ASEAN countries: A panel quantile regression approach. , 2019, The Science of the total environment.

[14]  Xiaoping Liu,et al.  Examining the multiple impacts of technological progress on CO2 emissions in China: A panel quantile regression approach , 2019, Renewable and Sustainable Energy Reviews.

[15]  Dongri Han,et al.  Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China? , 2019, Sustainability.

[16]  Lili Yang,et al.  Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994-2009 , 2011 .

[17]  Naota Hanasaki,et al.  Broad threat to humanity from cumulative climate hazards intensified by greenhouse gas emissions , 2018, Nature Climate Change.

[18]  Bruce E. Hansen,et al.  Threshold effects in non-dynamic panels: Estimation, testing, and inference , 1999 .

[19]  Yingchun Zhang,et al.  Influencing Factors and Scenario Forecasts of Carbon Emissions of the Chinese Power Industry: Based on a Generalized Divisia Index Model and Monte Carlo Simulation , 2018, Energies.

[20]  Guo Li,et al.  Exploring the energy consumption rebound effect of industrial enterprises in the Beijing–Tianjin–Hebei region , 2018, Energy Efficiency.

[21]  Rawshan Ara Begum,et al.  Dynamics of energy use, technological innovation, economic growth and trade openness in Malaysia , 2015 .

[22]  L. Anselin,et al.  Patents and innovation counts as measures of regional production of new knowledge , 2002 .

[23]  Dorian Proksch,et al.  Increasing the national innovative capacity: Identifying the pathways to success using a comparative method , 2017 .

[24]  Nahla Samargandi.  Sector value addition, technology and CO2 emissions in Saudi Arabia ☆ , 2017 .

[25]  Boqiang Lin,et al.  Quantile analysis of carbon emissions in China metallurgy industry , 2020 .

[26]  Wen Zhong-lin,et al.  Analyses of Mediating Effects: The Development of Methods and Models , 2014 .

[27]  Xu Tang,et al.  What Is the Relationship between Technological Innovation and Energy Consumption? Empirical Analysis Based on Provincial Panel Data from China , 2018 .

[28]  S. West,et al.  A comparison of methods to test mediation and other intervening variable effects. , 2002, Psychological methods.

[29]  Zhaohua Wang,et al.  An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China , 2012 .

[30]  Perry Sadorsky.  Do urbanization and industrialization affect energy intensity in developing countries , 2013 .

[31]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[32]  Yalin Lei,et al.  The impacts of renewable energy and technological innovation on environment-energy-growth nexus: New evidence from a panel quantile regression , 2018 .

[33]  Ke Li,et al.  Choice of technological change for China's low-carbon development: Evidence from three urban agglomerations. , 2018, Journal of environmental management.

[34]  T. Panayotou.  Economic Growth and the Environment , 2000 .