About the Journal
In Memory of Professor Jerzy Radecki
Editorial Office
Editorial Board
Scope
Impact Factor
Indexed in...
Journal Impact Factor contributing items
Contact
Subscription
Current issue
Online first
Notes to Authors
Frequently Asked Questions
Editorial policies
PJOES Publication Policy Overview
PJOES Peer Review Policy
PJOES Research Ethics and Malpractice Policy
PJOES Plagiarism Policy
PJOES Conflict of Interest Policy
PJOES Open Access Policy
PJOES Instructions for Reviewers
Generative AI and AI-Assisted Technologies Policy
Archive
ORIGINAL RESEARCH
Whether Scientific and Technological Innovation
Can Promote Carbon Productivity: an
Empirical Analysis Based on Spatial Durbin
Model and Threshold Effect Model
1
School of Business, Nanjing Normal University, Nanjing 210097, China
2
School of Economics and Management, Yanbian University, Yanji 133002, China
Submission date: 2024-02-22
Final revision date: 2024-04-10
Acceptance date: 2024-05-27
Online publication date: 2025-01-16
Publication date: 2025-04-04
Corresponding author
Pol. J. Environ. Stud. 2025;34(4):3637-3655
KEYWORDS
level of scientific and technological innovationcarbon productivityspatial spillover effectthreshold effectlow carbon economy
TOPICS
ABSTRACT
Based on the panel data of 30 provinces in China from 2011 to 2021, this paper constructs two index
systems to measure China’s carbon productivity (CP) and level of scientific and technological innovation
(STI) respectively. The two-way fixed effect model, spatial Durbin model, and threshold effect model
are used to explore the impact of STI on CP. The study found that: (1) STI can not only promote
the improvement of local CP, but also have a positive spatial spillover effect on CP in surrounding areas;
(2) The influence of STI on CP has regional differences, and STI in the eastern region has a significant
positive effect on CP in both local and neighboring provinces; The STI effect is not obvious in the central
and western regions. (3) The positive impact of STI on CP has the threshold characteristic of “marginal
increasing” and there is a single threshold effect with STI and R&D intensity as threshold variables.
The research conclusions provide empirical evidence for STI to promote the development of a lowcarbon
economy, and have implications for the implementation of regional coordinated development
and innovation-driven development strategies.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (69)
1.
WAHAB S., IMRAN M., AHMED B., RAHIM S., HASSAN T. Navigating environmental concerns: Unveiling the role of economic growth, trade, resources and institutional quality on greenhouse gas emissions in OECD countries. Journal of Cleaner Production, 434, 139851, 2024. https://doi.org/10.1016/j.jcle....
2.
WANG J., ZHAO Q., NING P., WEN S. Greenhouse gas contribution and emission reduction potential prediction of China's aluminum industry. Energy, 290, 130183, 2024. https://doi.org/10.1016/j.ener....
3.
YUAN H.X., FENG Y.D., LEE J., LIU H.M., LI R.Z. The spatial threshold effect and its regional boundary of financial agglomeration on green development: A case study in China. Journal of Cleaner Production, 244, 112866, 2020. https://doi.org/10.1016/j.jcle....
4.
HAMIT-HAGGAR M. Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective. Energy Economics, 34 (1), 358, 2012. https://doi.org/10.1016/j.enec....
5.
AL-MULALI U., FEREIDOUNI H.G., LEE J.Y.M. Electricity consumption from renewable and nonrenewable sources and economic growth: Evidence from Latin American countries. Renewable and Sustainable Energy Reviews, 30, 290, 2014. https://doi.org/10.1016/j.rser....
6.
MUSAH M., GYAMFI B.A., KWAKWA P.A., AGOZIE D.Q. Realizing the 2050 Paris climate agreement in West Africa: the role of financial inclusion and green investments. Journal of Environmental Management, 340, 117911, 2023. https://doi.org/10.1016/j.jenv... PMid:37141658.
7.
HOSEIN A.S., WHALE J., SIMSEK Y., URMEE T. Exploring energy policy scenarios to transition to a low carbon economy by 2050: A case study on the Northern Territory of Australia. Energy Policy, 180, 113663, 2023. https://doi.org/10.1016/j.enpo....
8.
RHODES C.J. The 2015 Paris Climate Change Conference: Cop21. Science Progress, 99 (1), 97, 2016. https://doi.org/10.3184/003685... PMid:27120818 PMCid:PMC10365518.
9.
KAYA Y., YOKOBORI K. Environment, energy, and economy: Strategies for sustainability. Tokyo: United Nations University Press, 1997.
10.
LONG R., GAN X., CHEN H., WANG J., LI Q. Spatial econometric analysis of foreign direct investment and carbon productivity in China: Two-tier moderating roles of industrialization development. Resources, Conservation and Recycling, 155, 104677, 2020. https://doi.org/10.1016/j.resc....
11.
MURSHED M., APERGIS N., ALAM M.S., KHAN U., MAHMUD S. The impacts of renewable energy, financial inclusivity, globalization, economic growth, and urbanization on carbon productivity: Evidence from net moderation and mediation effects of energy efficiency gains. Renewable Energy, 196, 824, 2022. https://doi.org/10.1016/j.rene....
12.
ZHAO S., CAO Y., HUNJRA A.I., TAN Y. How does environmentally induced R&D affect carbon productivity? A government support perspective. International Review of Economics & Finance, 88, 942, 2023. https://doi.org/10.1016/j.iref....
13.
WANG Y., YANG S., LIU C., LI S. How Would Economic Development Influence Carbon Productivity? A Case from Hubei in China. International Journal of Environmental Research and Public Health, 15 (8), 2018. https://doi.org/10.3390/ijerph... PMid:30103567 PMCid:PMC6121897.
14.
DU M., HE L., ZHAO M., WANG J., CAO Y., LI H. Examining the relations of income inequality and carbon productivity: A panel data analysis. Sustainable Production and Consumption, 31, 249, 2022. https://doi.org/10.1016/j.spc.....
15.
World Bank open data. Available online: https://data.worldbank.org.cn/ (accessed on 21 January 2024).
16.
ROMER P. Endogenous Technological Change. National Bureau of Economic Research. Working Paper Series, 1989. https://doi.org/10.3386/w3210.
17.
WANG R., TAN J. Exploring the coupling and forecasting of financial development, technological innovation, and economic growth. Technological Forecasting and Social Change, 163, 120466, 2021. https://doi.org/10.1016/j.tech....
18.
SCHUMPETER J., BACKHAUS U. The Theory of Economic Development. In Joseph Alois Schumpeter: Entrepreneurship, Style and Vision, J. Backhaus Ed. Springer US: Boston, MA, pp. 61, 2003. https://doi.org/10.1007/0-306-... https://doi.org/10.1007/0-306-....
19.
CHENG M., WANG J., YANG S., LI Q. The driving effect of technological innovation on green development: From the perspective of efficiency. Energy Policy, 188, 114089, 2024. https://doi.org/10.1016/j.enpo....
20.
BAI C., FENG C., YAN H., YI X., CHEN Z., WEI W. Will income inequality influence the abatement effect of renewable energy technological innovation on carbon dioxide emissions? Journal of Environmental Management, 264, 114082, 2020. https://doi.org/10.1016/j.jenv... PMid:32250907.
21.
LIU X., CAO C., KONG X. Theoretical logic and realization path of the formation of new quality productivity in the context of Great Power competition. Journal of Chongqing University (Social Sciences Edition), 30 (1), 145, 2023.
22.
FRE R., GROSSKOPF S., LINDGREN B., ROOS P. Productivity changes in Swedish pharamacies 1980-1989: A non-parametric Malmquist approach. Journal of Productivity Analysis, 3 (1), 85, 1992. https://doi.org/10.1007/BF0015....
23.
CHUNG Y.H., FÄRE R., GROSSKOPF S. Productivity and Undesirable Outputs: A Directional Distance Function Approach. Journal of Environmental Management, 51 (3), 229, 1997. https://doi.org/10.1006/jema.1....
24.
QU Y., LI J., WANG S.G. Green total factor productivity measurement of industrial enterprises in Zhejiang Province, China: A DEA model with undesirable output approach. Energy Reports, 8, 307, 2022. https://doi.org/10.1016/j.egyr....
25.
ZHAO S., CAO Y., FENG C., GUO K., ZHANG J. How do heterogeneous R&D investments affect China's green productivity: Revisiting the Porter hypothesis. Science of The Total Environment, 825, 154090, 2022. https://doi.org/10.1016/j.scit... PMid:35218817.
26.
SHENG X., YI R., TANG D., LANSANA D.D., OBUOBI B. The severity of foreign direct investment components on China's carbon productivity. Journal of Cleaner Production, 424, 138929, 2023. https://doi.org/10.1016/j.jcle....
27.
ZHANG H., FENG C., ZHOU X. Going carbon-neutral in China: Does the low-carbon city pilot policy improve carbon emission efficiency? Sustainable Production and Consumption, 33, 312, 2022. https://doi.org/10.1016/j.spc.....
28.
NIU M., TAN X., GUO J., LI G., HUANG C. Driving Factors and Growth Potential of Provincial Carbon Productivity in China. Sustainability, 13 (17), 2021. https://doi.org/10.3390/su1317....
29.
OPAZO-BASÁEZ M., MONROY-OSORIO J.C., MARIĆ J. Evaluating the effect of green technological innovations on organizational and environmental performance: A treble innovation approach. Technovation, 129, 102855, 2024. https://doi.org/10.1016/j.tech....
30.
SAMPENE A.K., LI C., WIREDU J. An outlook at the switch to renewable energy in emerging economies: The beneficial effect of technological innovation and green finance. Energy Policy, 187, 114025, 2024. https://doi.org/10.1016/j.enpo....
31.
ZHANG D.Y., ZHAO M.J., WANG Y.Z., VIGNE S.A., BENKRAIEM R. Technological innovation and its influence on energy risk management: Unpacking China's energy consumption structure optimisation amidst climate change. Energy Economics, 131, 107321, 2024. https://doi.org/10.1016/j.enec....
32.
SONG S., WEN J., LI Y., LI L. How does digital economy affect green technological innovation in China? New evidence from the "Broadband China" policy. Economic Analysis and Policy, 81, 1093, 2024. https://doi.org/10.1016/j.eap.....
33.
NIU X., MA Z., MA W., YANG J., MAO T. The spatial spillover effects and equity of carbon emissions of digital economy in China. Journal of Cleaner Production, 434, 139885, 2024. https://doi.org/10.1016/j.jcle....
34.
LI Y., WANG J., MU Z., LI L. The impact of corporate environmental responsibility on green technological innovation: A nonlinear model including mediate effects and moderate effects. Economic Analysis and Policy, 80, 754, 2023. https://doi.org/10.1016/j.eap.....
35.
CHEN L., KHURRAM M.U., GAO Y., ABEDIN M.Z., LUCEY B. ESG disclosure and technological innovation capabilities of the Chinese listed companies. Research in International Business and Finance, 65, 101974, 2023. https://doi.org/10.1016/j.riba....
36.
YIN L., DU S., CHEN G. The influence of the bank-firm relationship on enterprises' technological innovation efficiency: Evidence from China. International Review of Economics & Finance, 89, 1583, 2024. https://doi.org/10.1016/j.iref....
37.
LI X., MA L., RUMAN A.M., IQBAL N., STRIELKOWSKI W. Impact of natural resource mining on sustainable economic development: The role of education and green innovation in China. Geoscience Frontiers, 101703, 2023. https://doi.org/10.1016/j.gsf.....
38.
HE X., SUN S., LEONG L.W., CONG P.T., ABURUMMAN A., HALTEH K. Does clean energy and technological innovation matter for economic growth? An Asian countries perspective. Economic Analysis and Policy, 78, 1195, 2023. https://doi.org/10.1016/j.eap.....
39.
ACHEAMPONG A.O., DZATOR J., DZATOR M., SALIM R. Unveiling the effect of transport infrastructure and technological innovation on economic growth, energy consumption and CO2 emissions. Technological Forecasting and Social Change, 182, 121843, 2022. https://doi.org/10.1016/j.tech....
40.
LI M., HOU Y., JIA Z., LI J. Role of green technological innovation in the green economic growth in China's natural resource markets. Resources Policy, 86, 104187, 2023. https://doi.org/10.1016/j.reso....
41.
WENG C., HUANG J., GREENWOOD-NIMMO M. The effect of clean energy investment on CO2 emissions: Insights from a Spatial Durbin Model. Energy Economics, 126, 107000, 2023. https://doi.org/10.1016/j.enec....
42.
HANSEN B.E. Threshold effects in non-dynamic panels: Estimation, testing, and inference. Journal of Econometrics, 93 (2), 345, 1999. https://doi.org/10.1016/S0304-....
43.
SUN H., CHEN T., WANG C.N. Spatial impact of digital finance on carbon productivity. Geoscience Frontiers, 101674, 2023. https://doi.org/10.1016/j.gsf.....
44.
WURLOD J.-D., NOAILLY J. The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries. Energy Economics, 71, 47, 2018. https://doi.org/10.1016/j.enec....
45.
SUN H., EDZIAH B.K., KPORSU A.K., SARKODIE S.A., TAGHIZADEH-HESARY F. Energy efficiency: The role of technological innovation and knowledge spillover. Technological Forecasting and Social Change, 167, 120659, 2021. https://doi.org/10.1016/j.tech....
46.
CHANG H., ZHAO Y. The impact of carbon trading on the "quantity" and "quality" of green technology innovation: A dynamic QCA analysis based on carbon trading pilot areas. Heliyon, 10 (3), 2024. https://doi.org/10.1016/j.heli... PMid:38356545 PMCid:PMC10864959.
47.
HOU S., YU K., FEI R. How does environmental regulation affect carbon productivity? The role of green technology progress and pollution transfer. Journal of Environmental Management, 345, 118587, 2023. https://doi.org/10.1016/j.jenv... PMid:37442038.
48.
National Bureau of Statistics of China. Available online: https://www.stats.gov.cn/sj/nd... (accessed on 20 January 2024).
49.
China Energy Statistical Yearbook. Available online: https://kns.cnki.net/knavi/yea... (accessed on 20 January 2024).
50.
China Statistical Yearbook on Science and Technology. Available online: https://cnki.ctbu.edu.cn/CSYDM... (accessed on 20 January 2024).
51.
China Industrial Statistical Yearbook. Available online: https://cnki.ctbu.edu.cn/CSYDM... (accessed on 20 January 2024).
52.
Ministry of Finance, PRC. Available online: https://www.mof.gov.cn/index.h... (accessed on 20 January 2024).
53.
China Population and Employment Statistics Yearbook. Available online: https://kns.cnki.net/knavi/yea... (accessed on 20 January 2024).
54.
ROODMAN D. How to do xtabond2: An introduction to difference and system GMM in Stata. Stata Journal, 9 (1), 86, 2009. https://doi.org/10.1177/153686....
55.
XIE R., FU W., YAO S.L., ZHANG Q. Effects of financial agglomeration on green total factor productivity in Chinese cities: Insights from an empirical spatial Durbin model. Energy Economics, 101, 105449, 2021. https://doi.org/10.1016/j.enec....
56.
ZHAO H., CHEN S.W., ZHANG W.K. Does digital inclusive finance affect urban carbon emission intensity: Evidence from 285 cities in China. Cities, 142, 104552, 2023. https://doi.org/10.1016/j.citi... PMCid:PMC10889867.
57.
YU H., WANG J., XU J. Assessing the role of digital economy agglomeration in energy conservation and emission reduction: Evidence from China. Energy, 284, 128667, 2023. https://doi.org/10.1016/j.ener....
58.
DEBARSY N., LESAGE J. Flexible dependence modeling using convex combinations of different types of connectivity structures. Regional Science and Urban Economics, 69, 48, 2018. https://doi.org/10.1016/j.regs....
59.
ZHANG Q., LI J., KONG Q., HUANG H. Spatial effects of green innovation and carbon emission reduction in China: Mediating role of infrastructure and informatization. Sustainable Cities and Society, 106, 106426, 2024. https://doi.org/10.1016/j.scs.....
60.
HAN X., FU L., LV C., PENG J. Measurement and spatio-temporal heterogeneity analysis of the coupling coordinated development among the digital economy, technological innovation and ecological environment. Ecological Indicators, 151, 110325, 2023. https://doi.org/10.1016/j.ecol....
61.
ZHOU T., HUANG X., ZHANG N. The effect of innovation pilot on carbon total factor productivity: Quasi-experimental evidence from China. Energy Economics, 125, 106895, 2023. https://doi.org/10.1016/j.enec....
62.
LIN S., LIN R., SUN J., WANG F., WU W. Dynamically evaluating technological innovation efficiency of high-tech industry in China: Provincial, regional and industrial perspective. Socio-Economic Planning Sciences, 74, 100939, 2021. https://doi.org/10.1016/j.seps....
63.
ZHONG M., HUANG G., HE R. The technological innovation efficiency of China's lithium-ion battery listed enterprises: Evidence from a three-stage DEA model and micro-data. Energy, 246, 123331, 2022. https://doi.org/10.1016/j.ener....
64.
XU C., LI L. The dynamic relationship among green logistics, technological innovation and green economy: Evidence from China. Heliyon, 10 (4), 2024. https://doi.org/10.1016/j.heli... PMid:38404833 PMCid:PMC10884938.
65.
ZHANG T., GUO Y. Spatiotemporal heterogeneity of green total factor productivity in Chinese cities under technological heterogeneity. Energy Reports, 11, 1535, 2024. https://doi.org/10.1016/j.egyr....
66.
DAI J., ZHUO Y., LIAO Z., WEN H. The direction choice of green technological progress and late-development advantage in Central and Western China. Heliyon, 8 (12), 2022. https://doi.org/10.1016/j.heli... PMid:36582699 PMCid:PMC9793172.
67.
XIAO S., WANG S., ZENG F., HUANG W.-C. Spatial Differences and Influencing Factors of Industrial Green Total Factor Productivity in Chinese Industries. Sustainability, 14 (15), 2022. https://doi.org/10.3390/su1415....
68.
ZHAO M., SUN T., FENG Q. Capital allocation efficiency, technological innovation and vehicle carbon emissions: Evidence from a panel threshold model of Chinese new energy vehicles enterprises. Science of The Total Environment, 784, 147104, 2021. https://doi.org/10.1016/j.scit... PMid:33892319.
69.
WANG F. The intermediary and threshold effect of green innovation in the impact of environmental regulation on economic Growth: Evidence from China. Ecological Indicators, 153, 110371, 2023. https://doi.org/10.1016/j.ecol....
Share
RELATED ARTICLE
| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
