Carbon neutrality through supply chain performance: does green innovation matter in Asia?

References

• Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The review of economic studies, 58(2), 277–297.
   Google Scholar
• Canh, N. P., Schinckus, C., & Thanh, S. D. (2019). Do economic openness and institutional quality influence patents? Evidence from GMM systems estimates. International Economics, 157, 134–169. https://doi.org/10.1016/j.inteco.2018.10.002
   Google Scholar
• Chen, Y., & Lee, C. C. (2020). Does technological innovation reduce CO2 emissions? Cross-country evidence. Journal of Cleaner Production, 263, 121550. https://doi.org/10.1016/j.jclepro.2020.121550
   Web of Science ®Google Scholar
• Chen, M., Liu, Q., Huang, S., & Dang, C. (2022). Environmental cost control system of manufacturing enterprises using artificial intelligence based on value chain of circular economy. Enterprise Information Systems, 16(8–9), 1856422.
   Google Scholar
• Chien, F., Ajaz, T., Andlib, Z., Chau, K. Y., Ahmad, P., & Sharif, A. (2021). The role of technology innovation, renewable energy and globalization in reducing environmental degradation in Pakistan: A step towards sustainable environment. Renewable Energy, 177, 308–317. https://doi.org/10.1016/j.renene.2021.05.101
   Web of Science ®Google Scholar
• Chien, F., Hsu, C. C., Andlib, Z., Shah, M. I., Ajaz, T., & Genie, M. G. (2022). The role of solar energy and eco‐innovation in reducing environmental degradation in China: Evidence from QARDL approach. Integrated Environmental Assessment and Management, 18(2), 555–571.
   PubMed Web of Science ®Google Scholar
• Donou-Adonsou, F. (2019). Technology, education, and economic growth in Sub-Saharan Africa. Telecommunications Policy, 43(4), 353–360. https://doi.org/10.1016/j.telpol.2018.08.005
   Web of Science ®Google Scholar
• Fernández, X. L., Paz-Saavedra, D., & Coto-Millán, P. (2020). The impact of Brexit on bank efficiency: Evidence from UK and Ireland. Finance Research Letters, 36, 101338.
   Google Scholar
• Herold, D. M., & Lee, K. H. (2017). Carbon management in the logistics and transportation sector: An overview and new research directions. Carbon Management, 8(1), 79–97. https://doi.org/10.1080/17583004.2017.1283923
   Web of Science ®Google Scholar
• Karaman, A. S., Kilic, M., & Uyar, A. (2020). Green logistics performance and sustainability reporting practices of the logistics sector: The moderating effect of corporate governance. Journal of Cleaner Production, 258, 120718. https://doi.org/10.1016/j.jclepro.2020.120718
   Web of Science ®Google Scholar
• Khan, S. A. R., Jian, C., Zhang, Y., Golpîra, H., Kumar, A., & Sharif, A. (2019). Environmental, social and economic growth indicators spur logistics performance: From the perspective of South Asian Association for Regional Cooperation countries. Journal of Cleaner Production, 214, 1011–1023. https://doi.org/10.1016/j.jclepro.2018.12.322
   Web of Science ®Google Scholar
• Khan, S. A. R., Zhang, Y., Anees, M., Golpîra, H., Lahmar, A., & Qianli, D. (2018). Green supply chain management, economic growth and environment: A GMM based evidence. Journal of Cleaner Production, 185, 588–599. https://doi.org/10.1016/j.jclepro.2018.02.226
   Web of Science ®Google Scholar
• Li, X., Ozturk, I., Ullah, S., Andlib, Z., & Hafeez, M. (2022). Can top-pollutant economies shift some burden through insurance sector development for sustainable development?. Economic Analysis and Policy, 74, 326–336.
   Google Scholar
• Lin, B., & Ma, R. (2022). Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model. Technological Forecasting and Social Change, 176, 121434. https://doi.org/10.1016/j.techfore.2021.121434
   Web of Science ®Google Scholar
• Lin, B., & Zhu, J. (2019). Determinants of renewable energy technological innovation in China under CO2 emissions constraint. Journal of Environmental Management, 247, 662–671.
   PubMed Web of Science ®Google Scholar
• Li, X., Shaikh, P. A., & Ullah, S. (2022). Exploring the potential role of higher education and ICT in China on green growth. Environmental Science and Pollution Research, 1–8.
   Web of Science ®Google Scholar
• Li, X., Sohail, S., Majeed, M. T., & Ahmad, W. (2021). Green logistics, economic growth, and environmental quality: Evidence from one belt and road initiative economies. Environmental Science and Pollution Research International, 28(24), 30664–30674.
   PubMed Web of Science ®Google Scholar
• Liu, J., Yuan, C., Hafeez, M., & Yuan, Q. (2018). The relationship between environment and logistics performance: Evidence from Asian countries. Journal of Cleaner Production, 204, 282–291. https://doi.org/10.1016/j.jclepro.2018.08.310
   Web of Science ®Google Scholar
• Martí, L., Puertas, R., & García, L. (2014). The importance of the Logistics Performance Index in international trade. Applied Economics, 46(24), 2982–2992. https://doi.org/10.1080/00036846.2014.916394
   Web of Science ®Google Scholar
• Mohsin, A. K. M., Tushar, H., Hossain, S. F. A., Chisty, K. K. S., Iqbal, M. M., Kamruzzaman, M., & Rahman, S. (2022). Green logistics and environment, economic growth in the context of the Belt and Road Initiative. Heliyon, 8(6), e09641. https://doi.org/10.1016/j.heliyon.2022.e09641
   PubMed Web of Science ®Google Scholar
• Rashidi, K., & Cullinane, K. (2019). A comparison of fuzzy DEA and fuzzy TOPSIS in sustainable supplier selection: Implications for sourcing strategy. Expert Systems with Applications, 121, 266–281. https://doi.org/10.1016/j.eswa.2018.12.025
   Web of Science ®Google Scholar
• Rezaei, J., van Roekel, W. S., & Tavasszy, L. (2018). Measuring the relative importance of the logistics performance index indicators using Best Worst Method. Transport Policy, 68, 158–169. https://doi.org/10.1016/j.tranpol.2018.05.007
   Web of Science ®Google Scholar
• Sharma, S. S. (2011). Determinants of carbon dioxide emissions: Empirical evidence from 69 countries. Applied Energy, 88(1), 376–382. https://doi.org/10.1016/j.apenergy.2010.07.022
   Web of Science ®Google Scholar
• Sharma, V. K., Sachdeva, A., & Singh, L. P. (2021). A meta analysis of sustainable supply chain management from different aspects. International Journal of Supply and Operations Management, 8(3), 289–313.
   Google Scholar
• Sohail, M. T., Ullah, S., Majeed, M. T., & Usman, A. (2021). Pakistan management of green transportation and environmental pollution: A nonlinear ARDL analysis. Environmental Science and Pollution Research International, 28(23), 29046–29055.
   PubMed Web of Science ®Google Scholar
• Sun, Y., Li, H., Andlib, Z., & Genie, M. G. (2022). How do renewable energy and urbanization cause carbon emissions? Evidence from advanced panel estimation techniques. Renewable Energy. 185, 996–1005. https://doi.org/10.1016/j.renene.2021.12.112
   Web of Science ®Google Scholar
• Sun, Y., Yesilada, F., Andlib, Z., & Ajaz, T. (2021). The role of eco-innovation and globalization towards carbon neutrality in the USA. Journal of Environmental Management, 299, 113568.
   PubMed Web of Science ®Google Scholar
• Tao, R., Umar, M., Naseer, A., & Razi, U. (2021). The dynamic effect of eco-innovation and environmental taxes on carbon neutrality target in emerging seven (E7) economies. Journal of Environmental Management, 299, 113525.
   PubMed Web of Science ®Google Scholar
• Ullah, S., Ahmad, W., Majeed, M. T., & Sohail, S. (2021). Asymmetric effects of premature deagriculturalization on economic growth and CO2 emissions: Fresh evidence from Pakistan. Environmental Science and Pollution Research International, 28(47), 66772–66786.
   PubMed Web of Science ®Google Scholar
• Ullah, S., Ozturk, I., Usman, A., Majeed, M. T., & Akhtar, P. (2020). On the asymmetric effects of premature deindustrialization on CO2 emissions: Evidence from Pakistan. Environmental Science and Pollution Research International, 27(12), 13692–13702.
   PubMed Web of Science ®Google Scholar
• Usman, A., Ozturk, I., Hassan, A., Zafar, S. M., & Ullah, S. (2021). The effect of ICT on energy consumption and economic growth in South Asian economies: An empirical analysis. Telematics and Informatics, 58, 101537. https://doi.org/10.1016/j.tele.2020.101537
   Web of Science ®Google Scholar
• Usman, A., Ozturk, I., Ullah, S., & Hassan, A. (2021). Does ICT have symmetric or asymmetric effects on CO2 emissions? Evidence from selected Asian economies. Technology in Society, 67, 101692. https://doi.org/10.1016/j.techsoc.2021.101692
   Web of Science ®Google Scholar
• Wang, H., & Wei, W. (2020). Coordinating technological progress and environmental regulation in CO2 mitigation: The optimal levels for OECD countries & emerging economies. Energy Economics, 87, 104510. https://doi.org/10.1016/j.eneco.2019.104510
   Web of Science ®Google Scholar
• Wang, Z., & Zhu, Y. (2020). Do energy technology innovations contribute to CO2 emissions abatement? A spatial perspective. The Science of the Total Environment, 726, 138574.
   PubMed Web of Science ®Google Scholar
• Wei, L., & Ullah, S. (2022). International tourism, digital infrastructure, and CO2 emissions: Fresh evidence from panel quantile regression approach. Environmental Science and Pollution Research, 29(24), 36273–36280.
   Web of Science ®Google Scholar
• Wong, W. P., & Tang, C. F. (2018). The major determinants of logistic performance in a global perspective: Evidence from panel data analysis. International Journal of Logistics Research and Applications, 21(4), 431–443. https://doi.org/10.1080/13675567.2018.1438377
   Web of Science ®Google Scholar
• Yang, L., Hui, P., Yasmeen, R., Ullah, S., & Hafeez, M. (2020). Energy consumption and financial development indicators nexuses in Asian economies: A dynamic seemingly unrelated regression approach. Environmental Science and Pollution Research International, 27(14), 16472–16483.
   PubMed Web of Science ®Google Scholar
• Yu, Y., & Du, Y. (2019). Impact of technological innovation on CO2 emissions and emissions trend prediction on ‘New Normal’economy in China. Atmospheric Pollution Research, 10(1), 152–161. https://doi.org/10.1016/j.apr.2018.07.005
   Web of Science ®Google Scholar