IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v357y2024ics0306261923018445.html
   My bibliography  Save this article

Digitalization and sustainable development: Evidence from OECD countries

Author

Listed:
  • Lei, Xiao
  • Shen, Z.Y.
  • Štreimikienė, Dalia
  • Baležentis, Tomas
  • Wang, Guang
  • Mu, Yunguo

Abstract

To examine the intricate relationship between digitalization development and sustainable development, this study commences its analysis by employing the entropy method to establish an integrated indicator of digitalization development among advanced nations. Subsequently, we utilize a panel dataset spanning a decade from 2010 to 2020, encompassing 36 developed countries, to estimate Green Total Factor Productivity (GTFP) growth. We establish a fixed effects model, a mediation effect model and a threshold regression model to explore the relationship between the two variables. The empirical findings of this research reveal a significant positive association between the progress and enhancement of digitalization and the advancement of sustainable development (GTFP). Furthermore, this research elucidates the underlying mechanism by which digitalization development indirectly fosters the advancement of green productivity. This facilitation occurs through the promotion of technological innovation, the enhancement of human capital, and tupgrades in the industrial framework. Notably, our study finds the non-linear relation between digitalization development and GTFP growth, suggesting that the magnitude of impact on environmental performance is contingent on the scale of technological innovation, the growth of human capital, and the level of financial development.

Suggested Citation

  • Lei, Xiao & Shen, Z.Y. & Štreimikienė, Dalia & Baležentis, Tomas & Wang, Guang & Mu, Yunguo, 2024. "Digitalization and sustainable development: Evidence from OECD countries," Applied Energy, Elsevier, vol. 357(C).
  • Handle: RePEc:eee:appene:v:357:y:2024:i:c:s0306261923018445
    DOI: 10.1016/j.apenergy.2023.122480
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923018445
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2023.122480?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    2. Allen Blackman & Arne Kildegaard, 2010. "Clean technological change in developing-country industrial clusters: Mexican leather tanning," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 12(3), pages 115-132, September.
    3. Wang, Jiangquan & Ma, Xiaowei & Zhang, Jun & Zhao, Xin, 2022. "Impacts of digital technology on energy sustainability: China case study," Applied Energy, Elsevier, vol. 323(C).
    4. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Chaudhari, Urmila & Bhadoriya, Amrita & Jani, Mrudul Y. & Sarkar, Biswajit, 2023. "A generalized payment policy for deteriorating items when demand depends on price, stock, and advertisement under carbon tax regulations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 207(C), pages 556-574.
    7. Lee, Chi-Chuan & Lee, Chien-Chiang, 2022. "How does green finance affect green total factor productivity? Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    8. Luenberger, David G., 1992. "Benefit functions and duality," Journal of Mathematical Economics, Elsevier, vol. 21(5), pages 461-481.
    9. Ilkyeong Moon & Won Young Yun & Biswajit Sarkar, 2022. "Effects of variable setup cost, reliability, and production costs under controlled carbon emissions in a reliable production system," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 16(4), pages 371-397.
    10. Chien, Mei-Se & Cheng, Chih-Yang & Kurniawati, Meta Ayu, 2020. "The non-linear relationship between ICT diffusion and financial development," Telecommunications Policy, Elsevier, vol. 44(9).
    11. Sari, Ramazan & Soytas, Ugur, 2009. "Are global warming and economic growth compatible? Evidence from five OPEC countries?," Applied Energy, Elsevier, vol. 86(10), pages 1887-1893, October.
    12. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    13. Wang, Mei & Xu, Mi & Ma, Shaojun, 2021. "The effect of the spatial heterogeneity of human capital structure on regional green total factor productivity," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 427-441.
    14. Wenqi Ruan & Yongquan Li, 2019. "Coupling Coordination of Internet Development, Technology Innovation and Star Hotel Efficiency," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 15(3), pages 48-64, July.
    15. Jing Wang & Yubing Xu, 2021. "Internet Usage, Human Capital and CO 2 Emissions: A Global Perspective," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    16. Murty, Sushama & Robert Russell, R. & Levkoff, Steven B., 2012. "On modeling pollution-generating technologies," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 117-135.
    17. Junhao Zhong & Tinghui Li, 2020. "Impact of Financial Development and Its Spatial Spillover Effect on Green Total Factor Productivity: Evidence from 30 Provinces in China," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-11, January.
    18. Mehdi Ben Jebli & Slim Ben Youssef & Nicholas Apergis, 2019. "The dynamic linkage between renewable energy, tourism, CO2 emissions, economic growth, foreign direct investment, and trade," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 28(1), pages 1-19, December.
    19. Meiling Wang & Silu Pang & Ikram Hmani & Ilham Hmani & Cunfang Li & Zhengxia He, 2021. "Towards sustainable development: How does technological innovation drive the increase in green total factor productivity?," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 217-227, January.
    20. Dagenais, Marcel G, 1969. "A Threshold Regression Model," Econometrica, Econometric Society, vol. 37(2), pages 193-203, April.
    21. Wu, Haitao & Hao, Yu & Ren, Siyu & Yang, Xiaodong & Xie, Guo, 2021. "Does internet development improve green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 153(C).
    22. Ma, Ruiyang & Lin, Boqiang, 2023. "Digitalization and energy-saving and emission reduction in Chinese cities: Synergy between industrialization and digitalization," Applied Energy, Elsevier, vol. 345(C).
    23. Song, Malin & Wang, Shuhong & Sun, Jing, 2018. "Environmental regulations, staff quality, green technology, R&D efficiency, and profit in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 1-14.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peng, Yue & Wang, Wei & Zhen, Shangsong & Liu, Yunqiang, 2024. "Does digitalization help green consumption? Empirical test based on the perspective of supply and demand of green products," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Jianda & Dong, Kangyin & Sha, Yezhou & Yan, Cheng, 2022. "Envisaging the carbon emissions efficiency of digitalization: The case of the internet economy for China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    2. Guo, Bingnan & Hu, Peiji & Lin, Ji, 2024. "The effect of digital infrastructure development on enterprise green transformation," International Review of Financial Analysis, Elsevier, vol. 92(C).
    3. Shen, Zhiyang & Boussemart, Jean-Philippe & Leleu, Hervé, 2017. "Aggregate green productivity growth in OECD’s countries," International Journal of Production Economics, Elsevier, vol. 189(C), pages 30-39.
    4. Aparicio, Juan & Ortiz, Lidia & Santín, Daniel, 2021. "Comparing group performance over time through the Luenberger productivity indicator: An application to school ownership in European countries," European Journal of Operational Research, Elsevier, vol. 294(2), pages 651-672.
    5. Subhash C. Ray, 2014. "Data Envelopment Analysis: An Overview," Working papers 2014-33, University of Connecticut, Department of Economics.
    6. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    7. Zhuo, Chengfeng & Chen, Jin, 2023. "Can digital transformation overcome the enterprise innovation dilemma: Effect, mechanism and effective boundary," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    8. Lee, Chien-Chiang & Yuan, Zihao & Lee, Chi-Chuan & Chang, Yu-Fang, 2022. "The impact of renewable energy technology innovation on energy poverty: Does climate risk matter?," Energy Economics, Elsevier, vol. 116(C).
    9. Hong Yu & Jianmin Zhang & Ning Xu, 2023. "Does National Independent Innovation Demonstration Zone Construction Help Improve Urban Green Total Factor Productivity? A Policy Assessment from China," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    10. Payab, Ahmad Haseeb & Kautish, Pradeep & Sharma, Rajesh & Siddiqui, Aaliyah & Mehta, Atul & Siddiqui, Mujahid, 2023. "Does human capital complement sustainable development goals? Evidence from leading carbon emitter countries," Utilities Policy, Elsevier, vol. 81(C).
    11. Xiaohong Liu, 2023. "Impacts of Environmental Pollution and Digital Economy on the New Energy Industry," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    12. Jens J. Krüger & Moritz Tarach, 2022. "Greenhouse Gas Emission Reduction Potentials in Europe by Sector: A Bootstrap-Based Nonparametric Efficiency Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(4), pages 867-898, April.
    13. Jinlin Li & Litai Chen & Ying Chen & Jiawen He, 2022. "Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(3), pages 616-629, April.
    14. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    15. Kristiaan Kerstens & Ignace Van de Woestyne, 2018. "Enumeration algorithms for FDH directional distance functions under different returns to scale assumptions," Annals of Operations Research, Springer, vol. 271(2), pages 1067-1078, December.
    16. Junhong Qu & Xiaoli Hao, 2022. "Digital Economy, Financial Development, and Energy Poverty Based on Mediating Effects and a Spatial Autocorrelation Model," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    17. Bogetoft, Peter & Leth Hougaard, Jens, 2004. "Super efficiency evaluations based on potential slack," European Journal of Operational Research, Elsevier, vol. 152(1), pages 14-21, January.
    18. Ravelojaona, Paola, 2019. "On constant elasticity of substitution – Constant elasticity of transformation Directional Distance Functions," European Journal of Operational Research, Elsevier, vol. 272(2), pages 780-791.
    19. R. Russell & William Schworm, 2009. "Axiomatic foundations of efficiency measurement on data-generated technologies," Journal of Productivity Analysis, Springer, vol. 31(2), pages 77-86, April.
    20. Atkinson, Scott E. & Tsionas, Mike G., 2021. "Generalized estimation of productivity with multiple bad outputs: The importance of materials balance constraints," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1165-1186.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:357:y:2024:i:c:s0306261923018445. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.