Ecological effects of distinct patents on reducing waste-related greenhouse gas emissions in BRIC countries: evidence from novel quantile methods

References

• Ali U, Guo Q, Nurgazina Z, Sharif A, Kartal MT, Depren SK, Khan A. 2023. Heterogeneous impact of industrialization, foreign direct investments, and technological innovation on carbon emissions intensity: evidence from Kingdom of Saudi Arabia. Appl Energy. 336:120804. doi: 10.1016/j.apenergy.2023.120804.
   Web of Science ®Google Scholar
• Apergis N, Ozturk I. 2015. Testing environmental kuznets curve hypothesis in Asian countries. Ecol Indic. 52:16–22. doi: 10.1016/j.ecolind.2014.11.026.
   Web of Science ®Google Scholar
• Biondi B, Castiglione C, Mazzocchi M. 2021. Demand drivers and changes in food-related emissions in the UK: a decomposition approach. Ecol Econ. 188:107114. doi: 10.1016/j.ecolecon.2021.107114.
   Web of Science ®Google Scholar
• Broock WA, Scheinkman JA, Dechert WD, LeBaron B. 1996. A test for independence based on the correlation dimension. Econ Rev. 15(3):197–235. doi: 10.1080/07474939608800353.
   Google Scholar
• Budihardjo MA, Humaira NG, Ramadan BS, Wahyuningrum IFS, Huboyo HS. 2023. Strategies to reduce greenhouse gas emissions from municipal solid waste management in Indonesia: the case of Semarang City. Alex Eng J. 69:771–783. doi: 10.1016/j.aej.2023.02.029.
   Web of Science ®Google Scholar
• Cecere G, Corrocher N. 2016. Stringency of regulation and innovation in waste management: an empirical analysis on EU countries. Ind Innov. 23(7):625–646. doi: 10.1080/13662716.2016.1195253.
   Web of Science ®Google Scholar
• Center For Global Development. 2023. Forecasting global growth to 2050. [Accessed 2023 Oct 7]. https://www.cgdev.org/blog/forecasting-global-growth-2050
   Google Scholar
• Chen Y, Chen M, Li Y, Wang B, Chen S, Xu Z. 2018. Impact of technological innovation and regulation development on e-waste toxicity: a case study of waste mobile phones. Sci Rep. 8(1):7100. doi: 10.1038/s41598-018-25400-0.
   PubMedGoogle Scholar
• Danish K, Ulucak R, Khan SUD. 2020. Determinants of the ecological footprint: role of renewable energy, natural resources, and urbanization. Sustain Cities Soc. 54:101996. doi: 10.1016/j.scs.2019.101996.
   Web of Science ®Google Scholar
• de Campos VAF, Silva VB, Cardoso JS, Brito PS, Tuna CE, Silveira JL. 2021. A review of waste management in Brazil and Portugal: waste-to-energy as pathway for sustainable development. Renewable Energy. 178:802–820. doi: 10.1016/j.renene.2021.06.107.
   Web of Science ®Google Scholar
• Dzombak R, Antonopoulos C, Dillon HE. 2019. Balancing technological innovation with waste burden minimization: an examination of the global lighting industry. Waste Manage. 92:68–74. doi: 10.1016/j.wasman.2019.04.037.
   PubMed Web of Science ®Google Scholar
• Erdogan S, Pata UK, Solarin SA. 2023. Towards carbon-neutral world: the effect of renewable energy investments and technologies in G7 countries. Renewable Sustainable Energy Rev. 186:113683. doi: 10.1016/j.rser.2023.113683.
   Web of Science ®Google Scholar
• Feng JC, Zeng XL, Yu Z, Bian Y, Li WC, Wang Y. 2019. Decoupling and driving forces of industrial carbon emission in a coastal city of Zhuhai, China. Ener Rep. 5:1589–1602. doi: 10.1016/j.egyr.2019.10.027.
   Web of Science ®Google Scholar
• Gentil E, Christensen TH, Aoustin E. 2009. Greenhouse gas accounting and waste management. Waste Manag Res. 27(8):696–706. doi: 10.1177/0734242X09346702.
   PubMed Web of Science ®Google Scholar
• Georgatzi VV, Stamboulis Y, Vetsikas A. 2020. Examining the determinants of CO2 emissions caused by the transport sector: empirical evidence from 12 European countries. Econ Anal Pol. 65:11–20. doi: 10.1016/j.eap.2019.11.003.
   Web of Science ®Google Scholar
• Gohlke O, Martin J. 2007. Drivers for innovation in waste-to-energy technology. Waste Manage Res. 25(3):214–219. doi: 10.1177/0734242X07079146.
   PubMed Web of Science ®Google Scholar
• Grossman GM, Krueger AB 1991. Environmental impacts of a North American free trade agreement. [Accessed 2023 Oct 8]. https://www.nber.org/papers/w3914
   Google Scholar
• Hossain MA, Chen S. 2022. The decoupling study of agricultural energy-driven CO2 emissions from agricultural sector development. Int J Environ Sci Technol. 19(5):4509–4524. doi: 10.1007/s13762-021-03346-7.
   Web of Science ®Google Scholar
• Hussain Z, Kaleem Khan M, Xia Z. 2023. Investigating the role of green transport, environmental taxes and expenditures in mitigating the transport CO2 emissions. Trans Lett. 5(5):439–449. doi: 10.1080/19427867.2022.2065592.
   Google Scholar
• IPCC. 2007. Waste management: mitigation. Contribution of working group III to the fourth assessment report of the Intergovernmental Panel on climate change. In: B Metz, OR Davidson, PR Bosch, R Dave, LA Meyer, editors, Climate change. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press.
   Google Scholar
• Jin X, Ahmed Z, Pata UK, Kartal MT, Erdogan S. 2023. Do investments in green energy, energy efficiency, and nuclear energy R&D improve the load capacity factor? An augmented ARDL approach. Geosci Front. 101646. doi: 10.1016/j.gsf.2023.101646.
   Google Scholar
• Kartal MT, Pata UK, Depren Ö, Erdogan S. 2023. Effectiveness of nuclear and renewable electricity generation on CO2 emissions: Daily-based analysis for the major nuclear power generating countries. J Clean Prod. 426:139121. doi: 10.1016/j.jclepro.2023.139121.
   Web of Science ®Google Scholar
• Khan Z, Badeeb RA, Zhang C, Dong K. 2023. Financial inclusion and energy efficiency: role of green innovation and human capital for Malaysia. Appl Econ. 1–16. doi: 10.1080/00036846.2023.2206109.
   Google Scholar
• Koenker R, Bassett G Jr. 1978. Regression quantiles. Econometrica. 46(1):33–50. doi: 10.2307/1913643.
   Web of Science ®Google Scholar
• Lin B, Ouyang X. 2014. Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry. Energy. 68:688–697. doi: 10.1016/j.energy.2014.01.069.
   Web of Science ®Google Scholar
• Liu Z, Xu Y, Adams M, Liu W, Walker TR, Domenech T, Bleischwitz R, Geng Y. 2023. Comparative analysis of the contribution of municipal waste management policies to GHG reductions in China. Waste Manage Res. 41(4):860–870. doi: 10.1177/0734242X221135259.
   PubMed Web of Science ®Google Scholar
• Mata É, Wanemark J, Cheng SH, Broin EÓ, Hennlock M, Sandvall A. 2021. Systematic map of determinants of buildings’ energy demand and CO2 emissions shows need for decoupling. Environ Res Lett. 16(5):055011. doi: 10.1088/1748-9326/abe5d7.
   Web of Science ®Google Scholar
• OECD. (2023). Patent indicators. [Accessed 2023 Sep 27]. https://stats.oecd.org/Index.aspx?DataSetCode=PAT_IND#
   Google Scholar
• Our World in Data. 2023. Annual greenhouse gas emissions by sector. [Accessed 2023 Sep 27]. https://ourworldindata.org/emissions-by-sector
   Google Scholar
• Ouyang X, Lin B. 2015. An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector. Renewable Sustainable Energy Rev. 45:838–849. doi: 10.1016/j.rser.2015.02.030.
   Web of Science ®Google Scholar
• Panayotou T. 1997. Demystifying the environmental kuznets curve: turning a black box into a policy tool. Environ Dev Econ. 2(4):465–484. doi: 10.1017/S1355770X97000259.
   Google Scholar
• Pata UK, Ahmed Z, Eryilmaz S, Zeren F, Gencer YG. 2023. Analyzing the environmental kuznets curve for transportation modes in European countries. Trans Res Part D: Trans Environ. 122:103893. doi: 10.1016/j.trd.2023.103893.
   Web of Science ®Google Scholar
• Pata UK, Çağlar AE, Kartal MT, Kılıç Depren S. 2023. Evaluation of the role of clean energy technologies, human capital, urbanization, and income on the environmental quality in the United States. J Clean Prod. 402:136802. doi: 10.1016/j.jclepro.2023.136802.
   Web of Science ®Google Scholar
• Powell JT, Chertow MR, Esty DC. 2018. Where is global waste management heading? An analysis of solid waste sector commitments from nationally-determined contributions. Waste Manage. 80:137–143. doi: 10.1016/j.wasman.2018.09.008.
   PubMed Web of Science ®Google Scholar
• Premakumara DGJ, Menikpura SNM, Singh RK, Hengesbaugh M, Magalang AA, Ildefonso ET, Silva LC, Silva LC. 2018. Reduction of greenhouse gases (GHGs) and short-lived climate pollutants (SLCPs) from municipal solid waste management (MSWM) in the Philippines: rapid review and assessment. Waste Manage. 80:397–405. doi: 10.1016/j.wasman.2018.09.036.
   PubMed Web of Science ®Google Scholar
• Pudcha T, Phongphiphat A, Towprayoon S. 2023. Greenhouse gas mitigation and energy production potentials from municipal solid waste management in Thailand through 2050. Earth Syst Environ. 7(1):83–97. doi: 10.1007/s41748-022-00323-z.
   Google Scholar
• Ramachandra TV, Bharath HA, Kulkarni G, Han SS. 2018. Municipal solid waste: generation, composition and GHG emissions in Bangalore, India. Renew. Sustain Energy Rev. 82:1122–1136. doi: 10.1016/j.rser.2017.09.085.
   Web of Science ®Google Scholar
• Sarkodie SA, Adams S. 2018. Renewable energy, nuclear energy, and environmental pollution: accounting for political institutional quality in South Africa. Sci Total Environ. 643:1590–1601. doi: 10.1016/j.scitotenv.2018.06.320.
   PubMed Web of Science ®Google Scholar
• Shao S, Yang L, Yu M, Yu M. 2011. Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994–2009. Energy Pol. 39(10):6476–6494. doi: 10.1016/j.enpol.2011.07.049.
   Web of Science ®Google Scholar
• Sharif A, Kartal MT, Bekun FV, Pata UK, Foon L, Depren SK. 2023. Role of green technology, environmental taxes, and green energy towards sustainable environment: insights from sovereign Nordic countries by CS-ARDL approach. Gond Res. 117:194–206. doi: 10.1016/j.gr.2023.01.009.
   Web of Science ®Google Scholar
• Sharma G, Sinha B. 2023. Future emissions of greenhouse gases, particulate matter and volatile organic compounds from municipal solid waste burning in India. Sci Total Environ. 858:159708. doi: 10.1016/j.scitotenv.2022.159708.
   PubMed Web of Science ®Google Scholar
• Sim N, Zhou H. 2015. Oil prices, US stock return, and the dependence between their quantiles. J Bank Finance. 55:1–8. doi: 10.1016/j.jbankfin.2015.01.013.
   Web of Science ®Google Scholar
• Sun Y, Gao P, Raza SA, Shah N, Sharif A. 2023. The asymmetric effects of oil price shocks on the world food prices: fresh evidence from quantile-on-quantile regression approach. Energy. 270:126812. doi: 10.1016/j.energy.2023.126812.
   Web of Science ®Google Scholar
• Sutthasil N, Chiemchaisri C, Chiemchaisri W, Ishigaki T, Gheewala SH. 2023. Life cycle greenhouse gas emissions of emerging municipal solid waste management options: a case study in Thailand. J Mater Cycles Waste. 25(2):662–673. doi: 10.1007/s10163-022-01584-6.
   Web of Science ®Google Scholar
• Taka GN, Huong TT, Shah IH, Park HS. 2020. Determinants of energy-based CO2 emissions in Ethiopia: a decomposition analysis from 1990 to 2017. Sustainability. 12(10):4175. doi: 10.3390/su12104175.
   Web of Science ®Google Scholar
• Troster V. 2018. Testing for Granger-causality in quantiles. Econ Rev. 37(8):850–866. doi: 10.1080/07474938.2016.1172400.
   Google Scholar
• UN. 2018. 68% of the world population projected to live in urban areas by 2050, says UN. [Accessed 2023 Nov 7]. https://www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html.
   Google Scholar
• UN. 2023a. Chemicals and waste. [Accessed 2023 Nov 7]. https://sdgs.un.org/topics/chemicals-and-waste
   Google Scholar
• UN. 2023b. Ensure sustainable consumption and production patterns. [Accessed 2023 Nov 7]. https://sdgs.un.org/goals/goal12
   Google Scholar
• UN. 2023c. Peace, dignity and equality on a healthy planet. [Accessed 2023 Nov 7]. https://www.un.org/en/global-issues/population#:~:text=Our%20growing%20population&text=The%20world%27s%20population%20is%20expected,billion%20in%20the%20mid-2080s
   Google Scholar
• Voukkali I, Papamichael I, Loizia P, Zorpas AA. 2023. Urbanization and solid waste production: prospects and challenges. Environ Sci Pollut Res. doi: 10.1007/s11356-023-27670-2.
   PubMed Web of Science ®Google Scholar
• Wang Y, Jeong S, Hang Y, Wang Q. 2023. Determinants of net energy-related CO2 emissions in China: a source-to-sink decomposition analysis. Environ Impact Assess Rev. 98:106979. doi: 10.1016/j.eiar.2022.106979.
   Web of Science ®Google Scholar
• Wang S, Shi C, Fang C, Feng K. 2019. Examining the spatial variations of determinants of energy-related CO2 emissions in China at the city level using geographically weighted regression model. Appl Energy. 235:95–105. doi: 10.1016/j.apenergy.2018.10.083.
   Web of Science ®Google Scholar
• Wang F, Wang C, Chen J, Li Z, Li L. 2020. Examining the determinants of energy-related carbon emissions in central Asia: country-level LMDI and EKC analysis during different phases. Environ Dev Sustain. 22(8):7743–7769. doi: 10.1007/s10668-019-00545-8.
   Web of Science ®Google Scholar
• Wang Y, Yan Y, Chen G, Zuo J, Du H. 2015. Effective approaches to reduce greenhouse gas emissions from waste to energy process: a China study. Resour Conserv Recycl. 104:103–108. doi: 10.1016/j.resconrec.2015.09.002.
   Web of Science ®Google Scholar
• World Bank. 2023. Trends in Solid Waste Management. [Accessed 2023 Nov 7]. https://datatopics.worldbank.org/what-a-waste/trends_in_solid_waste_management.html
   Google Scholar
• Zhang C, Dong H, Geng Y, Song X, Zhang T, Zhuang M. 2022. Carbon neutrality prediction of municipal solid waste treatment sector under the shared socioeconomic pathways. Resour Conserv Recycl. 186:106528. doi: 10.1016/j.resconrec.2022.106528.
   Web of Science ®Google Scholar
• Zhao W, Van Der Voet E, Zhang Y, Huppes G. 2009. Life cycle assessment of municipal solid waste management with regard to greenhouse gas emissions: case study of Tianjin, China Sci. Total Environ. 407(5):1517–1526. doi: 10.1016/j.scitotenv.2008.11.007.
   PubMed Web of Science ®Google Scholar