1,538
Views
21
CrossRef citations to date
0
Altmetric
Articles

How public expenditure in recreational and cultural industry and socioeconomic status caused environmental sustainability in OECD countries?

, & ORCID Icon
Pages 4625-4642 | Received 26 Oct 2021, Accepted 01 Dec 2021, Published online: 31 Dec 2021

References

  • Agarwal, A., Giraud-Carrier, F. C., & Li, Y. (2018). A mediation model of green supply chain management adoption: The role of internal impetus. International Journal of Production Economics, 205, 342–358. https://doi.org/10.1016/j.ijpe.2018.09.011
  • Ahmad, B., Da, L., Asif, M. H., Irfan, M., Ali, S., & Akbar, M. I. U. D. (2021). Understanding the antecedents and consequences of service-sales ambidexterity: A motivation-opportunity-ability (MOA) framework. Sustainability, 13(17), 9675.
  • Ahmed, W., Ashraf, M. S., Khan, S. A., Kusi-Sarpong, S., Arhin, F. K., Kusi-Sarpong, H., & Najmi, A. (2020). Analyzing the impact of environmental collaboration among supply chain stakeholders on a firm’s sustainable performance. Operations Management Research, 1–18.
  • Ahmed, W., Najmi, A., Arif, M., & Younus, M. (2019a). Exploring firm performance by institutional pressures driven green supply chain management practices. Smart and Sustainable Built Environment, 8(5), 415–437. https://doi.org/10.1108/SASBE-04-2018-0022
  • Ahmed, W., Najmi, A., Mustafa, Y., & Khan, A. (2019b). Developing model to analyze factors affecting firms’ agility and competitive capability: A case of a volatile market. Journal of Modelling in Management, 14(2), 476–491. https://doi.org/10.1108/JM2-07-2018-0092
  • Ahmed, Z., Wang, Z., & Ali, S. (2019c). Investigating the non-linear relationship between urbanization and CO 2 emissions: An empirical analysis. Air Quality, Atmosphere & Health, 12(8), 945–953. https://doi.org/10.1007/s11869-019-00711-x
  • Akbar, M., Hussain, A., Akbar, A., & Ullah, I. (2021). The dynamic association between healthcare spending, CO2 emissions, and human development index in OECD countries: Evidence from panel VAR model. Environment, Development and Sustainability, 23(7), 10470–10489. https://doi.org/10.1007/s10668-020-01066-5
  • Alam, M. S., Miah, M. D., Hammoudeh, S., & Tiwari, A. K. (2018). The nexus between access to electricity and labour productivity in developing countries. Energy Policy, 122, 715–726. https://doi.org/10.1016/j.enpol.2018.08.009
  • An, H., Razzaq, A., Nawaz, A., Noman, S. M., & Khan, S. A. R. (2021). Nexus between green logistic operations and triple bottom line: Evidence from infrastructure-led Chinese outward foreign direct investment in Belt and Road host countries. Environmental Science and Pollution Research, 28, 51022–51045.
  • Arminen, H., & Menegaki, A. N. (2019). Corruption, climate and the energy-environment-growth nexus. Energy Economics, 80, 621–634. https://doi.org/10.1016/j.eneco.2019.02.009
  • Awan, A. M., Azam, M., Saeed, I. U., & Bakhtyar, B. (2020). Does globalization and financial sector development affect environmental quality? A panel data investigation for the Middle East and north African countries. Environmental Science and Pollution Research International, 27(36), 45405–45418. https://doi.org/10.1007/s11356-020-10445-4
  • Balsalobre-Lorente, D., Driha, O. M., Shahbaz, M., & Sinha, A. (2020). The effects of tourism and globalization over environmental degradation in developed countries. Environmental Science and Pollution Research International, 27(7), 7130–7144. https://doi.org/10.1007/s11356-019-07372-4
  • Baltagi, B. H., & Hashem Pesaran, M. (2007). Heterogeneity and cross section dependence in panel data models: Theory and applications introduction. Journal of Applied Econometrics, 22(2), 229–232. https://doi.org/10.1002/jae.955
  • Chudik, A., & Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of Econometrics, 188(2), 393–420. https://doi.org/10.1016/j.jeconom.2015.03.007
  • Cristóbal, J., Ehrenstein, M., Domínguez-Ramos, A., Galán-Martín, Á., Pozo, C., Margallo, M., Aldaco, R., Jiménez, L., Irabien, Á., & Guillén-Gosálbez, G. (2021). Unraveling the links between public spending and Sustainable Development Goals: Insights from data envelopment analysis. Science of the Total Environment, 786, 147459. https://doi.org/10.1016/j.scitotenv.2021.147459
  • Eberhardt, M. (2012). Estimating panel time-series models with heterogeneous slopes. The Stata Journal: Promoting Communications on Statistics and Stata, 12(1), 61–71. https://doi.org/10.1177/1536867X1201200105
  • Elavarasan, R. M., Leoponraj, S., Dheeraj, A., Irfan, M., Gangaram Sundar, G., & Mahesh, G. K. (2021). PV-Diesel-Hydrogen fuel cell based grid connected configurations for an institutional building using BWM framework and cost optimization algorithm. Sustainable Energy Technologies and Assessments, 43, 100934. https://doi.org/10.1016/j.seta.2020.100934
  • Gao, Y., Gao, X., & Zhang, X. (2017). The 2 C global temperature target and the evolution of the long-term goal of addressing climate change—from the United Nations framework convention on climate change to the Paris agreement. Engineering, 3(2), 272–278. https://doi.org/10.1016/J.ENG.2017.01.022
  • Goel, R. K., Herrala, R., & Mazhar, U. (2013). Institutional quality and environmental pollution: MENA countries versus the rest of the world. Economic Systems, 37(4), 508–521. https://doi.org/10.1016/j.ecosys.2013.04.002
  • Guo, J., Zhou, Y., Ali, S., Shahzad, U., & Cui, L. (2021). Exploring the role of green innovation and investment in energy for environmental quality: An empirical appraisal from provincial data of China. Journal of Environmental Management, 292, 112779.
  • He, X., Mishra, S., Aman, A., Shahbaz, M., Razzaq, A., & Sharif, A. (2021). The linkage between clean energy stocks and the fluctuations in oil price and financial stress in the US and Europe? Evidence from QARDL approach. Resources Policy, 72, 102021. https://doi.org/10.1016/j.resourpol.2021.102021
  • Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. https://doi.org/10.1016/S0304-4076(03)00092-7
  • Iqbal, W., Ming, Y., Yin, K., & Irfan, M. (2021). Nexus between air pollution and NCOV-2019 in China: Application of negative binomial regression analysis. Process Safety and Environmental Protection, 150, 557–565. https://doi.org/10.1016/j.psep.2021.04.039
  • Irfan, M., & Ahmad, M. (2021). Relating consumers' information and willingness to buy electric vehicles: Does personality matter? Transportation Research Part D: Transport and Environment, 100, 103049. https://doi.org/10.1016/j.trd.2021.103049
  • Irfan, M., Elavarasan, R. M., Hao, Y., Feng, M., & Sailan, D. (2021a). An assessment of consumers’ willingness to utilize solar energy in China: End-users’ perspective. Journal of Cleaner Production, 292, 126008. https://doi.org/10.1016/j.jclepro.2021.126008
  • Irfan, M., Hao, Y., Ikram, M., Wu, H., Akram, R., & Rauf, A. (2021b). Assessment of the public acceptance and utilization of renewable energy in Pakistan. Sustainable Production and Consumption, 27, 312–324. https://doi.org/10.1016/j.spc.2020.10.031
  • Irfan, M., Ikram, M., Ahmad, M., Wu, H., & Hao, Y. (2021c). Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces. Environmental Science and Pollution Research International, 28(42), 59705–59715. https://doi.org/10.1007/s11356-021-14875-6
  • Irfan, M., Razzaq, A., Suksatan, W., Sharif, A., Elavarasan, R. M., Yang, C., Hao, Y., & Rauf, A. (2021d). Asymmetric impact of temperature on COVID-19 spread in India: Evidence from quantile-on-quantile regression approach. Journal of Thermal Biology, 103101. https://doi.org/10.1016/j.jtherbio.2021.103101
  • Irfan, M., Zhao, Z. Y., Rehman, A., Ozturk, I., & Li, H. (2021e). Consumers' intention-based influence factors of renewable energy adoption in Pakistan: A structural equation modeling approach. Environmental Science and Pollution Research International, 28(1), 432–445. https://doi.org/10.1007/s11356-020-10504-w
  • Irfan, M., Zhao, Z. Y., Ikram, M., Gilal, N. G., Li, H., & Rehman, A. (2020). Assessment of India's energy dynamics: Prospects of solar energy. Journal of Renewable and Sustainable Energy, 12(5), 053701. https://doi.org/10.1063/1.5140236
  • Javaid, A., Akbar, A., & Nawaz, S. (2018). A review on human development index. Pakistan Journal of Humanities and Social Sciences, 6(3), 357–369. https://doi.org/10.52131/pjhss.2018.0603.0052
  • Jeong, S. H., Lee, Y., & Kang, S. H. (2020). Government spending and sustainable economic growth: Based on first-and second-level COFOG data. Public Money & Management, 40(2), 140–148. https://doi.org/10.1080/09540962.2019.1651035
  • Ji, X., Umar, M., Ali, S., Ali, W., Tang, K., & Khan, Z. (2021). Does fiscal decentralization and eco‐innovation promote sustainable environment? A case study of selected fiscally decentralized countries. Sustainable Development, 29(1), 79–88. https://doi.org/10.1002/sd.2132
  • Khan, F., Ahmed, W., & Najmi, A. (2019a). Understanding consumers’ behavior intentions towards dealing with the plastic waste: Perspective of a developing country. Resources, Conservation and Recycling, 142, 49–58. https://doi.org/10.1016/j.resconrec.2018.11.020
  • Khan, F., Ahmed, W., Najmi, A., & Younus, M. (2019b). Managing plastic waste disposal by assessing consumers' recycling behavior: The case of a densely populated developing country. Environmental Science and Pollution Research International, 26(32), 33054–33066. https://doi.org/10.1007/s11356-019-06411-4
  • Khan, Z., Ali, M., Jinyu, L., Shahbaz, M., & Siqun, Y. (2020a). Consumption based carbon emissions and trade nexus: Evidence from nine oil exporting countries. Energy Economics, 89, 104806. https://doi.org/10.1016/j.eneco.2020.104806
  • Khan, A., Chenggang, Y., Hussain, J., Bano, S., & Nawaz, A. A. (2020b). Natural resources, tourism development, and energy-growth-CO2 emission nexus: A simultaneity modeling analysis of BRI countries. Resources Policy, 68, 101751. https://doi.org/10.1016/j.resourpol.2020.101751
  • Khan, I., & Hou, F. (2021). The impact of socioeconomic and environmental sustainability on CO2 emissions: A novel framework for thirty IEA countries. Social Indicators Research, 155(3), 1045–1076. https://doi.org/10.1007/s11205-021-02629-3
  • Kharas, H., & McArthur, J. (2019). Building the SDG economy: Needs, spending and financing for universal achievement of the Sustainable Development Goals. Global Economy and Development at Brookings - Working Paper 131.
  • Levin, A., Lin, C.-F., & Chu, C.-S J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24. https://doi.org/10.1016/S0304-4076(01)00098-7
  • Li, G., He, Q., Wang, D., & Liu, B. (2021). Environmental non-governmental organizations and air-pollution governance: Empirical evidence from OECD countries. PLOS One, 16(8), e0255166. https://doi.org/10.1371/journal.pone.0255166
  • Li, J., Zhang, X., Ali, S., & Khan, Z. (2020). Eco-innovation and energy productivity: New determinants of renewable energy consumption. Journal of Environmental Management, 271(June), 111028. https://doi.org/10.1016/j.jenvman.2020.111028
  • Lingyan, M., Zhao, Z., Malik, H. A., Razzaq, A., An, H., & Hassan, M. (2021). Asymmetric impact of fiscal decentralization and environmental innovation on carbon emissions: Evidence from highly decentralized countries. Energy & Environment, 0958305X211018453.
  • Najmi, A., Kanapathy, K., & Aziz, A. A. (2019). Prioritising factors influencing consumers' reversing intention of e-waste using analytic hierarchy process. International Journal of Electronic Customer Relationship Management, 12(1), 58–74. https://doi.org/10.1504/IJECRM.2019.098981
  • Ozturk, I., & Acaravci, A. (2013). The long-run and causal analysis of energy, growth, openness and financial development on carbon emissions in Turkey. Energy Economics, 36, 262–267. https://doi.org/10.1016/j.eneco.2012.08.025
  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312. https://doi.org/10.1002/jae.951
  • Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6–10), 1089–1117. https://doi.org/10.1080/07474938.2014.956623
  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50–93. https://doi.org/10.1016/j.jeconom.2007.05.010
  • Pesaran, H. M. (2004). General diagnostic tests for cross-sectional dependence in panels. University of Cambridge, Cambridge Working Papers in Economics, 435.
  • Razzaq, A., Ajaz, T., Li, J. C., Irfan, M., & Suksatan, W. (2021a). Investigating the asymmetric linkages between infrastructure development, green innovation, and consumption-based material footprint: Novel empirical estimations from highly resource-consuming economies. Resources Policy, 74, 102302. https://doi.org/10.1016/j.resourpol.2021.102302
  • Razzaq, A., Sharif, A., Ahmad, P., & Jermsittiparsert, K. (2021b). Asymmetric role of tourism development and technology innovation on carbon dioxide emission reduction in the Chinese economy: Fresh insights from QARDL approach. Sustainable Development, 29(1), 176–193. https://doi.org/10.1002/sd.2139
  • Razzaq, A., Sharif, A., Najmi, A., Tseng, M. L., & Lim, M. K. (2021c). Dynamic and causality interrelationships from municipal solid waste recycling to economic growth, carbon emissions and energy efficiency using a novel bootstrapping autoregressive distributed lag. Resources, Conservation and Recycling, 166(December 2020), 105372. https://doi.org/10.1016/j.resconrec.2020.105372
  • Razzaq, A., Wang, Y., Chupradit, S., Suksatan, W., & Shahzad, F. (2021d). Asymmetric inter-linkages between green technology innovation and consumption-based carbon emissions in BRICS countries using quantile-on-quantile framework. Technology in Society, 66, 101656. https://doi.org/10.1016/j.techsoc.2021.101656
  • Salo, M., Savolainen, H., Karhinen, S., & Nissinen, A. (2021). Drivers of household consumption expenditure and carbon footprints in Finland. Journal of Cleaner Production, 289, 125607. https://doi.org/10.1016/j.jclepro.2020.125607
  • Sarkis, J., Zhu, Q., & Lai, K. H. (2011). An organizational theoretic review of green supply chain management literature. International Journal of Production Economics, 130(1), 1–15. https://doi.org/10.1016/j.ijpe.2010.11.010
  • Sharif, A., Bhattacharya, M., Afshan, S., & Shahbaz, M. (2021). Disaggregated renewable energy sources in mitigating CO2 emissions: New evidence from the USA using quantile regressions. Environmental Science and Pollution Research, 28, 57582–57601.
  • Sharif, A., Raza, S. A., Ozturk, I., & Afshan, S. (2019). The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: A global study with the application of heterogeneous panel estimations. Renewable Energy, 133, 685–691. https://doi.org/10.1016/j.renene.2018.10.052
  • Sun, Y., Duru, O. A., Razzaq, A., & Dinca, M. S. (2021). The asymmetric effect eco-innovation and tourism towards carbon neutrality target in Turkey. Journal of Environmental Management, 299, 113653.
  • Swamy, P. A. (1970). Efficient inference in a random coefficient regression model. Econometrica, 38(2), 311–323. https://doi.org/10.2307/1913012
  • Tanveer, A., Zeng, S., Irfan, M., & Peng, R. (2021). Do perceived risk, perception of self-efficacy, and openness to technology matter for solar PV adoption? An application of the extended theory of planned behavior. Energies, 14(16), 5008.
  • The Economist Intelligence Unit. (2020). The future of public spending – why the way we spend is critical to the Sustainable Development Goals.
  • Ulucak, R., & Khan, S. U. D. (2020). Does information and communication technology affect CO2 mitigation under the pathway of sustainable development during the mode of globalization? Sustainable Development, 28, 857–867. https://doi.org/10.1002/sd.2041
  • Wang, L., Luo, G. L., Sharif, A., & Dinca, G. (2021). Asymmetric dynamics and quantile dependency of the resource curse in the USA. Resources Policy, 72, 102104. https://doi.org/10.1016/j.resourpol.2021.102104
  • Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
  • Xuefeng, Z., Razzaq, A., Gokmenoglu, K. K., & Rehman, F. U. (2021). Time varying interdependency between COVID-19, tourism market, oil prices, and sustainable climate in United States: Evidence from advance wavelet coherence approach. Economic Research-Ekonomska Istraživanja, 1–23. https://doi.org/10.1080/1331677X.2021.1992642
  • Zhang, H., Razzaq, A., Pelit, I., & Irmak, E. (2021). Does freight and passenger transportation industries are sustainable in BRICS countries? Evidence from advance panel estimations. Economic Research-Ekonomska Istraživanja, 1–21. https://doi.org/10.1080/1331677X.2021.2002708
  • Zhang, X., Luo, L., & Skitmore, M. (2015). Household carbon emission research: An analytical review of measurement, influencing factors and mitigation prospects. Journal of Cleaner Production, 103, 873–883. https://doi.org/10.1016/j.jclepro.2015.04.024
  • Zhuang, Y., Yang, S., Razzaq, A., & Khan, Z. (2021). Environmental impact of infrastructure-led Chinese outward FDI, tourism development and technology innovation: A regional country analysis. Journal of Environmental Planning and Management, 1–33. https://doi.org/10.1080/09640568.2021.1989672