Abstract
This study examines the heterogenous impact of shadow economy on the ecological footprint. We apply the panel quantile regression to a panel dataset of 32 OECD countries from 1990 to 2015. The estimation results indicate that the shadow economy-ecological footprint nexus follows an inverted U-shaped pattern. Initially, the higher size of the informal economy leads to more ecosystem degradation. When the shadow economy increases to certain thresholds, its environmental impact reverts to benefit. Such threshold changes with the evolution of the ecological footprint. Specifically, it first rises then decreases along with the degradation of the ecosystem. Moreover, the heterogeneous panel causality test reports the one-way directional running from the shadow economy to the ecological footprint in OECD countries. Likewise, environmental effects of other control variables, including trade openness, energy intensity, renewable energy, and income, are also not homogeneous across various levels of the ecological footprint. The significant and heterogeneous relationships between ecological footprint and its determining factors provide insightful implications for governments in tailoring environmental regulations upon different ecological conditions.
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Data availability
All data analyzed during this study are available and freely collected from public sources.
Notes
We thank the anonymous reviewer for suggesting this issue.
References
Abid M (2015) The close relationship between informal economic growth and carbon emissions in Tunisia since 1980: The (ir)relevance of structural breaks. Sustain Cities Soc 15:11–21. https://doi.org/10.1016/j.scs.2014.11.001
Ahmed K, Long W (2012) Environmental Kuznets curve and Pakistan: an empirical analysis. Procedia Econo Finance 1:4–13. https://doi.org/10.1016/S2212-5671(12)00003-2
Ahmed K, Long W (2013) An empirical analysis of CO 2 emission in Pakistan using EKC hypothesis. J Int Trade Law Policy 12(2):188–200. https://doi.org/10.1108/JITLP-10-2012-0015
Akram R, Chen F, Khalid F, Huang G, Irfan M (2021) Heterogeneous effects of energy efficiency and renewable energy on economic growth of BRICS countries: a fixed effect panel quantile regression analysis. Energy 215:119019. https://doi.org/10.1016/j.energy.2020.119019
Albulescu CT, Tiwari AK, Yoon SM, Kang SH (2019) FDI, income, and environmental pollution in Latin America: replication and extension using panel quantiles regression analysis. Energy Econ 84:104504. https://doi.org/10.1016/j.eneco.2019.104504
Ali U, Li Y, Yánez Morales VP, Hussain B (2021) Dynamics of international trade, technology innovation and environmental sustainability: evidence from Asia by accounting for cross-sectional dependence. J Environ Planning Manage 64(10):1864–1885. https://doi.org/10.1080/09640568.2020.1846507
Allard A, Takman J, Uddin GS, Ahmed A (2018) The N-shaped environmental Kuznets curve: an empirical evaluation using a panel quantile regression approach. Environ Sci Pollut Res 25(6):5848–5861. https://doi.org/10.1007/s11356-017-0907-0
Alm J, Embaye A (2013) Using dynamic panel methods to estimate shadow economies around the world, 1984–2006. Public Finance Rev 41(5):510–543. https://doi.org/10.1177/1091142113482353
Álvarez-Herránz A, Balsalobre D, Cantos JM, Shahbaz M (2017) Energy innovations-GHG emissions nexus: fresh empirical evidence from OECD countries. Energy Policy 101(June 2016):90–100. https://doi.org/10.1016/j.enpol.2016.11.030
Antweiler W, Copeland BR, Taylor MS (2001) Is free trade good for the environment? Am Econ Rev 91(4):877–908. https://doi.org/10.1257/aer.91.4.877
Anwar A, Siddique M, Dogan E, Sharif A (2021) The moderating role of renewable and non-renewable energy in environment-income nexus for ASEAN countries: evidence from Method of Moments Quantile Regression. Renew Energy 164:956–967. https://doi.org/10.1016/j.renene.2020.09.128
Apergis N, Payne JE (2009) Energy consumption and economic growth in Central America: evidence from a panel cointegration and error correction model. Energy Econ 31(2):211–216. https://doi.org/10.1016/j.eneco.2008.09.002
Bajada C, Schneider F (2005) The shadow economies of the Asia-Pacific. Pac Econ Rev 10(3):379–401. https://doi.org/10.1111/j.1468-0106.2005.00280.x
Bajada C, Schneider F (2009) Unemployment and the Shadow Economy in the OECD. Review Economique 60(4):1011–1033
Bakhsh K, Rose S, Ali MF, Ahmad N, Shahbaz M (2017) Economic growth, CO 2 emissions, renewable waste and FDI relation in Pakistan: new evidences from 3SLS. J Environ Manage 196:627–632. https://doi.org/10.1016/j.jenvman.2017.03.029
Baksi S, Bose P (2016) Informal sector, regulatory compliance, and leakage. J Dev Econ 121:166–176. https://doi.org/10.1016/j.jdeveco.2016.03.008
Bali Swain R, Kambhampati US, Karimu A (2020) Regulation, governance and the role of the informal sector in influencing environmental quality? Ecol Econ 173:106649. https://doi.org/10.1016/j.ecolecon.2020.106649
Baloch A, Shah SZ, Rasheed S, Rasheed B (2021) The impact of shadow economy on environmental degradation: empirical evidence from Pakistan. GeoJournal. https://doi.org/10.1007/s10708-020-10354-6
Belaïd F, Elsayed AH, Omri A (2021) Key drivers of renewable energy deployment in the MENA Region: empirical evidence using panel quantile regression. Struct Chang Econ Dyn 57:225–238. https://doi.org/10.1016/j.strueco.2021.03.011
Bera AK, Jarque CM (1981) Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Econ Lett 7(4):313–318. https://doi.org/10.1016/0165-1765(81)90035-5
Bi K, Huang P, Ye H (2015) Risk identification, evaluation and response of low-carbon technological innovation under the global value chain: a case of the Chinese manufacturing industry. Technol Forecast Soc Chang 100:238–248. https://doi.org/10.1016/j.techfore.2015.07.005
Biswas AK, Farzanegan MR, Thum M (2012) Pollution, shadow economy and corruption: theory and evidence. Ecol Econ 75:114–125. https://doi.org/10.1016/j.ecolecon.2012.01.007
Bowles S, Park Y (2005) Emulation, inequality, and work hours: was Thorsten Veblen right? Econ J 115(507):F397–F412. https://doi.org/10.1111/j.1468-0297.2005.01042.x
Busenitz LW, Gómez C, Spencer JW (2000) Country institutional profiles: unlocking entrepreneurial phenomena. Acad Manag J 43(5):994–1003. https://doi.org/10.5465/1556423
Canay IA (2011) A simple approach to quantile regression for panel data. Economet J 14(3):368–386. https://doi.org/10.1111/j.1368-423X.2011.00349.x
Canh NP, Thanh SD, Schinckus C, Bensemann J, Thanh LT (2019) Global emissions: a new contribution from the shadow economy. Int J Energy Econ Policy 9(3):320–337. https://doi.org/10.32479/ijeep.7244
Canh NP, Schinckus C, Thanh SD, Chong FHL (2021) The determinants of the energy consumption: a shadow economy-based perspective. Energy 225:120210. https://doi.org/10.1016/j.energy.2021.120210
Caravaggio N (2020) A global empirical re-assessment of the Environmental Kuznets curve for deforestation. Forest Policy Econ 119:102282. https://doi.org/10.1016/j.forpol.2020.102282
Chaudhuri S, Mukhopadhyay U (2006) Pollution and informal sector: a theoretical analysis. J Econ Integr 21(2):363–378. https://doi.org/10.11130/jei.2006.21.2.363
Chen W, Lei Y (2018) The impacts of renewable energy and technological innovation on environment-energy-growth nexus: new evidence from a panel quantile regression. Renewable Energy 123:1–14. https://doi.org/10.1016/j.renene.2018.02.026
Chen H, Hao Y, Li J, Song X (2018) The impact of environmental regulation, shadow economy, and corruption on environmental quality: theory and empirical evidence from China. J Clean Prod 195:200–214. https://doi.org/10.1016/j.jclepro.2018.05.206
Cheng C, Ren X, Dong K, Dong X, Wang Z (2021) How does technological innovation mitigate CO2 emissions in OECD countries? Heterogeneous analysis using panel quantile regression. J Environ Manage 280:111818. https://doi.org/10.1016/j.jenvman.2020.111818
Chu LK (2021b) Economic structure and environmental Kuznets curve hypothesis: new evidence from economic complexity. Appl Econ Lett 28(7):612–616. https://doi.org/10.1080/13504851.2020.1767280
Chu LK, Hoang DP (2020) How does economic complexity influence income inequality? New evidence from international data. Econ Anal Policy 68:44–57. https://doi.org/10.1016/j.eap.2020.08.004
Chu LK, Hoang DP (2021) The complementarity of income equalization and innovation for more effective emission reduction. J Environ Manage 284:112007. https://doi.org/10.1016/j.jenvman.2021.112007
Cole MA (2006) Does trade liberalization increase national energy use? Econ Lett 92(1):108–112. https://doi.org/10.1016/j.econlet.2006.01.018
Copeland BR, Taylor MS (2013) Trade and the environment: theory and evidence. Princeton University Press, Princeton
Costantini V, Crespi F (2008) Environmental regulation and the export dynamics of energy technologies. Ecol Econ 66(2–3):447–460. https://doi.org/10.1016/j.ecolecon.2007.10.008
Dada JT, Ajide FM (2021) The moderating role of institutional quality in shadow economy–pollution nexus in Nigeria. Manag Environ Qual: an Int J 32(3):506–523. https://doi.org/10.1108/MEQ-10-2020-0238
Danish, Ulucak R, Khan SUD (2020) Relationship between energy intensity and CO2 emissions: does economic policy matter? Sustain Dev 28(5):1457–1464. https://doi.org/10.1002/sd.2098
UNEP (United Nations Environment Program) (2019). The Emissions Gap Report 2019. United Nations Environment Programme (UNEP): Nairobi, Kenya.
Dauda L, Long X, Mensah CN, Salman M, Boamah KB, Ampon-Wireko S, Kofi Dogbe CS (2021) Innovation, trade openness and CO2 emissions in selected countries in Africa. J Clean Prod 281:125143. https://doi.org/10.1016/j.jclepro.2020.125143
Demiral M, Akça EE, Tekin I (2021) Predictors of global carbon dioxide emissions: do stringent environmental policies matter? Environ Dev Sustain. https://doi.org/10.1007/s10668-021-01444-7
Destek MA, Ulucak R, Dogan E (2018) Analyzing the environmental Kuznets curve for the EU countries: the role of ecological footprint. Environ Sci Pollut Res 25(29):29387–29396. https://doi.org/10.1007/s11356-018-2911-4
Dietz T, Rosa EA (1994) Rethinking the environmental impacts of population, Affluence and Technology. Hum Ecol Rev 1:277–300
Dietz T, Rosa EA (1997) Effects of population and affluence on CO 2 emissions. Proc Natl Acad Sci 94(1):175–179. https://doi.org/10.1073/pnas.94.1.175
Dinda S (2004) Environmental Kuznets curve hypothesis: a survey. Ecol Econ 49(4):431–455. https://doi.org/10.1016/j.ecolecon.2004.02.011
Dogan E, Taspinar N, Gokmenoglu KK (2019) Determinants of ecological footprint in MINT countries. Energy Environ 30(6):1065–1086. https://doi.org/10.1177/0958305X19834279
Dogan E, Madaleno M, Inglesi-Lotz R, Taskin D (2022) Race and energy poverty: Evidence from African-American households. Energy Econ 108:105908. https://doi.org/10.1016/j.eneco.2022.105908
Dogan B, Madaleno M, Tiwari AK, Hammoudeh S (2020) Impacts of export quality on environmental degradation: does income matter? Environ Sci Pollut Res 27(12):13735–13772. https://doi.org/10.1007/s11356-019-07371-5
Doğan B, Ghosh S, Hoang DP, Chu LK (2022) Are economic complexity and eco-innovation mutually exclusive to control energy demand and environmental quality in E7 and G7 countries? Technol Soc 68:101867. https://doi.org/10.1016/j.techsoc.2022.101867
Dumitrescu E-I, Hurlin C (2012) Testing for Granger non-causality in heterogeneous panels. Econ Model 29(4):1450–1460. https://doi.org/10.1016/j.econmod.2012.02.014
Elgin C, Öztunali O (2014a) Pollution and informal economy. Econ Syst 38(3):333–349. https://doi.org/10.1016/j.ecosys.2013.11.002
Elgin C, Öztunali O (2014b) Environmental Kuznets curve for the informal sector of Turkey (1950–2009). Panoeconomicus 61(4):471–485. https://doi.org/10.2298/PAN1404471E
Font Vivanco D, Kemp R, van der Voet E, Heijungs R (2014) Using LCA-based decomposition analysis to study the multidimensional contribution of technological innovation to environmental pressures. J Ind Ecol 18(3):380–392. https://doi.org/10.1111/jiec.12118
Franco C, Marin G (2017) The effect of within-sector, upstream and downstream environmental taxes on innovation and productivity. Environ Resource Econ 66(2):261–291. https://doi.org/10.1007/s10640-015-9948-3
Galvao AF (2011) Quantile regression for dynamic panel data with fixed effects. Journal of Econometrics 164(1):142–157. https://doi.org/10.1016/j.jeconom.2011.02.016
Ghosh S (2010) Examining carbon emissions economic growth nexus for India: a multivariate cointegration approach. Energy Policy 38(6):3008–3014. https://doi.org/10.1016/j.enpol.2010.01.040
Gyamfi BA, Adedoyin FF, Bein MA, Bekun FV, Agozie DQ (2021) The anthropogenic consequences of energy consumption in E7 economies: juxtaposing roles of renewable, coal, nuclear, oil and gas energy: evidence from panel quantile method. J Clean Prod 295:126373. https://doi.org/10.1016/j.jclepro.2021.126373
Haider Zaidi SA, Zafar MW, Shahbaz M, Hou F (2019) Dynamic linkages between globalization, financial development and carbon emissions: evidence from Asia Pacific Economic Cooperation countries. J Clean Prod 228:533–543. https://doi.org/10.1016/j.jclepro.2019.04.210
Hatipoglu O, Ozbek G (2010) On the political economy of the informal sector and income redistribution. Eur J Law Econ 32(1):69–87. https://doi.org/10.1007/s10657-010-9179-6
Hatipoglu O, Ozbek G (2011) On the political economy of the informal sector and income redistribution. European Journal of Law and Economics 32(1):69–87. https://doi.org/10.1007/s10657-010-9179-6
Helpman E (1998) Explaining the structure of foreign trade: where do we stand? Rev World Econ 134(4):573–589. https://doi.org/10.1007/bf02773288
Herring H, Roy R (2007) Technological innovation, energy efficient design and the rebound effect. Technovation 27(4):194–203. https://doi.org/10.1016/j.technovation.2006.11.004
Huynh CM (2020) Shadow economy and air pollution in develo** Asia: what is the role of fiscal policy? Environ Econ Policy Stud 22(3):357–381. https://doi.org/10.1007/s10018-019-00260-8
Imamoglu H (2018) Is the informal economic activity a determinant of environmental quality? Environ Sci Pollut Res 25(29):29078–29088. https://doi.org/10.1007/s11356-018-2925-y
Jalil A, Mahmud SF (2009) Environment Kuznets curve for CO2 emissions: a cointegration analysis for China. Energy Policy 37(12):5167–5172. https://doi.org/10.1016/j.enpol.2009.07.044
Javid M, Sharif F (2016) Environmental Kuznets curve and financial development in Pakistan. Renew Sustain Energy Rev 54:406–414. https://doi.org/10.1016/j.rser.2015.10.019
Jenkins J, Nordhaus T, Shellenberger M (2011) Energy emergence: rebound and backfire as emergent phenomena. Breakthrough Institute, USA
Jiang X, Liu Y (2015) Global value chain, trade and carbon: case of information and communication technology manufacturing sector. Energy Sustain Dev 25:1–7. https://doi.org/10.1016/j.esd.2014.12.001
Khan I, Hou F (2021) The dynamic links among energy consumption, tourism growth, and the ecological footprint: the role of environmental quality in 38 IEA countries. Environ Sci Pollut Res 28(5):5049–5062. https://doi.org/10.1007/s11356-020-10861-6
Khan H, Khan I, Binh TT (2020) The heterogeneity of renewable energy consumption, carbon emission and financial development in the globe: a panel quantile regression approach. Energy Rep 6:859–867. https://doi.org/10.1016/j.egyr.2020.04.002
Koenker R (2004) Quantile regression for longitudinal data. J Multivar Anal 91(1):74–89. https://doi.org/10.1016/j.jmva.2004.05.006
Koc S, Bulus GC (2020) Testing validity of the EKC hypothesis in South Korea: role of renewable energy and trade openness. Environ Sci Pollut Res 27(23):29043–29054. https://doi.org/10.1007/s11356-020-09172-7
Köksal C, Işik M, Katircioğlu S (2020) The role of shadow economies in ecological footprint quality: empirical evidence from Turkey. Environ Sci Pollut Res 27:13457–13466. https://doi.org/10.1007/s11356-020-07956-5
Kongbuamai N, Zafar MW, Zaidi SAH, Liu Y (2020) Determinants of the ecological footprint in Thailand: the influences of tourism, trade openness, and population density. Environ Sci Pollut Res 27(32):40171–40186. https://doi.org/10.1007/s11356-020-09977-6
Lin B, Liu X (2012) Dilemma between economic development and energy conservation: energy rebound effect in China. Energy 45(1):867–873. https://doi.org/10.1016/j.energy.2012.06.077
Lind JT, Mehlum H (2010) With or without U? The appropriate test for a U-shaped relationship. Oxford Bull Econ Stat 72(1):109–118. https://doi.org/10.1111/j.1468-0084.2009.00569.x
Loayza NV (2016) Informality in the process of development and growth. The World Economy 39(12):1856–1916. https://doi.org/10.1111/twec.12480
Mazhar U, Elgin C (2013) Environmental regulation, pollution and the informal economy. SBP Research Bulletin 9:62–81
Mead DC, Morrisson C (1996) The informal sector elephant. World Dev 24(10):1611–1619. https://doi.org/10.1016/0305-750X(96)00065-4
Melitz MJ (2003) The impact of trade on intra-industry reallocations and aggregate industry productivity. Econometrica 71(6):1695–1725. https://doi.org/10.1111/1468-0262.00467
Mol APJ, Spaargaren G (2000) Ecological modernisation theory in debate: a review. Environ Politics 9(1):17–49. https://doi.org/10.1080/09644010008414511
Nassani AA, Aldakhil AM, Qazi Abro MM, Zaman K (2017) Environmental Kuznets curve among BRICS countries: spot lightening finance, transport, energy and growth factors. J Clean Prod 154:474–487. https://doi.org/10.1016/j.jclepro.2017.04.025
Nkengfack H, Kaffo Fotio H, Totouom A (2021) How does the shadow economy affect environmental quality in Sub-Saharan Africa? Evidence from heterogeneous panel estimations. J Knowl Econ 12(4):1635–1651. https://doi.org/10.1007/s13132-020-00685-7
Pata UK (2018) Renewable energy consumption, urbanization, financial development, income and CO2 emissions in Turkey: testing EKC hypothesis with structural breaks. J Clean Prod 187:770–779. https://doi.org/10.1016/j.jclepro.2018.03.236
Pesaran MH (2007) A simple panel unit root test in the presence of cross-section dependence. J Appl Economet 22(2):265–312. https://doi.org/10.1002/jae.951
Pesaran MH (2015) Testing weak cross-sectional dependence in large panels. Economet Rev 34(6–10):1089–1117. https://doi.org/10.1080/07474938.2014.956623
Qi S, Peng H, Zhang X, Tan X (2019) Is energy efficiency of Belt and Road Initiative countries catching up or falling behind? Evidence from a panel quantile regression approach. Appl Energy 253:113581. https://doi.org/10.1016/j.apenergy.2019.113581
Rees WE (1992) Ecological footprints and appropriated carrying capacity: what urban economics leaves out. Environ Urban 4(2):121–130. https://doi.org/10.1177/095624789200400212
Rosenbaum E (2019) Rebound effects and green growth – an examination of their relationship in a parsimonious equilibrium input-output-framework. J Clean Prod 225:121–132. https://doi.org/10.1016/j.jclepro.2019.03.296
Rudolph A, Figge L (2017) Determinants of ecological footprints: what is the role of globalization? Ecol Ind 81:348–361. https://doi.org/10.1016/j.ecolind.2017.04.060
Runge CF (1994) Freer trade, protected environment. Council on Foreign Relations Press, New York
Salman M, Long X, Dauda L, Mensah CN, Muhammad S (2019) Different impacts of export and import on carbon emissions across 7 ASEAN countries: a panel quantile regression approach. Sci Total Environ 686:1019–1029. https://doi.org/10.1016/j.scitotenv.2019.06.019
Schneider F, Enste DH (2000) Shadow economies: size, causes, and consequences. J Econ Lit 38(1):77–114
Shahbaz M, Lean HH, Shabbir MS (2012) Environmental Kuznets Curve hypothesis in Pakistan: cointegration and Granger causality. Renew Sustain Energy Rev 16(5):2947–2953. https://doi.org/10.1016/j.rser.2012.02.015
Shahbaz M, Nasreen S, Ahmed K, Hammoudeh S (2017) Trade openness–carbon emissions nexus: the importance of turning points of trade openness for country panels. Energy Econ 61:221–232. https://doi.org/10.1016/j.eneco.2016.11.008
Shahbaz M, Shahzad SJH, Mahalik MK, Hammoudeh S (2018) Does globalisation worsen environmental quality in developed economies? Environ Model Assess 23(2):141–156. https://doi.org/10.1007/s10666-017-9574-2
Shahbaz M, Raghutla C, Chittedi KR, Jiao Z, Vo XV (2020) The effect of renewable energy consumption on economic growth: evidence from the renewable energy country attractive index. Energy 207:118162. https://doi.org/10.1016/j.energy.2020.118162
Shao J, Tillaguango B, Alvarado R, Ochoa-Moreno S, Alvarado-Espejo J (2021) Environmental impact of the shadow economy, globalisation, trade and market size: evidence using linear and non-linear methods. Sustainability 13(12):6539. https://doi.org/10.3390/su13126539
Shapiro SS, Wilk MB (1965) An analysis of variance test for normality (complete samples). Biometrika 52(3–4):591–611. https://doi.org/10.1093/biomet/52.3-4.591
Sinha A, Shahbaz M, Balsalobre D (2017) Exploring the relationship between energy usage segregation and environmental degradation in N-11 countries. J Clean Prod 168:1217–1229. https://doi.org/10.1016/j.jclepro.2017.09.071
Sohail MT, Ullah S, Majeed MT, Usman A, Andlib Z (2021) The shadow economy in South Asia: dynamic effects on clean energy consumption and environmental pollution. Environ Sci Pollut Res 28(23):29265–29275. https://doi.org/10.1007/s11356-021-12690-7
Straub S (2005) Informal sector: The credit market channel. J Dev Econ 78(2):299–321. https://doi.org/10.1016/j.jdeveco.2004.09.005
Sun J, Shi J, Shen B, Li S, Wang Y (2018) Nexus among energy consumption, economic growth, urbanization and carbon emissions: heterogeneous panel evidence considering China’s regional differences. Sustainability 10:2383. https://doi.org/10.3390/su10072383
Suri V, Chapman D (1998) Economic growth, trade and energy: implications for the environmental Kuznets curve. Ecol Econ 25(2):195–208. https://doi.org/10.1016/S0921-8009(97)00180-8
Tamazian A, Chousa JP, Vadlamannati KC (2009) Does higher economic and financial development lead to environmental degradation: evidence from BRIC countries. Energy Policy 37(1):246–253. https://doi.org/10.1016/j.enpol.2008.08.025
Tawiah VK, Zakari A, Khan I (2021) The environmental footprint of China-Africa engagement: an analysis of the effect of China – Africa partnership on carbon emissions. Sci Total Environ 756:143603. https://doi.org/10.1016/j.scitotenv.2020.143603
Tayebi SK, Younespour S (2012) The effect of trade openness on environmental quality: evidence from Iran’s trade relations with the selected countries of the different blocks. Iran Econ Rev 16(32):19–40. https://doi.org/10.22059/IER.2012.32736
Torras M, Boyce JK (1998) Income, inequality, and pollution: a reassessment of the environmental Kuznets Curve. Ecol Econ 25(2):147–160. https://doi.org/10.1016/S0921-8009(97)00177-8
Wang Z, Dear K (2017) Region and firm level determinants of environmental regulation violations: an empirical study in Chongqing, China. J Clean Prod 141:1011–1022. https://doi.org/10.1016/j.jclepro.2016.09.090
Wang N, Zhu H, Guo Y, Peng C (2018) The heterogeneous effect of democracy, political globalization, and urbanization on PM2.5 concentrations in G20 countries: evidence from panel quantile regression. J Clean Prod 194:54–68. https://doi.org/10.1016/j.jclepro.2018.05.092
Westerlund J (2007) Testing for error correction in panel data. Oxford Bull Econ Stat 69(6):709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
**e Z, Wu R, Wang S (2021) How technological progress affects the carbon emission efficiency? Evidence from national panel quantile regression. J Clean Prod 307:127133. https://doi.org/10.1016/j.jclepro.2021.127133
Yang L, Li Z (2017) Technology advance and the carbon dioxide emission in China – empirical research based on the rebound effect. Energy Policy 101:150–161. https://doi.org/10.1016/j.enpol.2016.11.020
Yang J, Tan Y, Xue D, Huang G, **ng Z (2021) The environmental impacts of informal economies in China: inverted U-shaped relationship and regional variances. Chin Geogra Sci 31(4):585–599. https://doi.org/10.1007/s11769-021-1210-z
York R (2007) Demographic trends and energy consumption in European Union Nations, 1960–2025. Soc Sci Res 36(3):855–872. https://doi.org/10.1016/j.ssresearch.2006.06.007
Zhang Y-J, ** Y-L, Chevallier J, Shen B (2016) The effect of corruption on carbon dioxide emissions in APEC countries: a panel quantile regression analysis. Technol Forecast Soc Chang 112:220–227. https://doi.org/10.1016/j.techfore.2016.05.027
Zhu H, Duan L, Guo Y, Yu K (2016) The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: evidence from panel quantile regression. Econ Model 58:237–248. https://doi.org/10.1016/j.econmod.2016.05.003
Zhu H, **a H, Guo Y, Peng C (2018) The heterogeneous effects of urbanization and income inequality on CO2 emissions in BRICS economies: evidence from panel quantile regression. Environ Sci Pollut Res 25(17):17176–17193. https://doi.org/10.1007/s11356-018-1900-y
Alvarado R, Tillaguango B, Dagar V, Ahmad M, Işık C, Méndez P, & Toledo E (2021) Ecological footprint, economic complexity and natural resources rents in Latin America: empirical evidence using quantile regressions. J Clean Prod, 318(March) https://doi.org/10.1016/j.jclepro.2021.128585
Chu LK (2021a)Determinants of ecological footprint in OCED countries: do environmental-related technologies reduce environmental degradation? Environ Sci Pollut Res, in press https://doi.org/10.1007/s11356-021-17261-4
Chu LK, & Le NTM (2021) Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, and energy intensity: the case of G7 countries. Environ SciPollut Res, 2019. https://doi.org/10.1007/s11356-021-15666-9
Elgin C, Kose MA, Ohnsorge F, & Yu S (2021) Chapter 2: understanding the informal economy: concepts and trends. In The long shadow of informality: challenges and policies, edited by Ohnsorge, F. and Yu., S. Washington, DC: World Bank.
Grossman GM, & Krueger AB (1991) Environmental impacts of a North American free trade agreement. National Bureau of Economic Research No. 3914. http://www.nber.org/papers/w3914.pdf. Accessed 3 Jan 2022
Khan H, Weili L, Khan I, & Han L (2021) The effect of income inequality and energy consumption on environmental degradation: the role of institutions and financial development in 180 countries of the world. Environ SciPollut Res 0123456789https://doi.org/10.1007/s11356-021-17278-9
Massagony A, & Budiono (2022) Is the Environmental Kuznets Curve (EKC) hypothesis valid on CO 2 emissions in Indonesia? Int J Environ Stud 1–12. https://doi.org/10.1080/00207233.2022.2029097
OECD (2001) OECD Environmental Strategy for the First Decade of the 21st Century. http://www.oecd.org/dataoecd/33/40/1863539.pdf. Accessed 3 Jan 2022
OECD (2015) Aligning Policies for a Low-carbon Economy. OECDhttps://doi.org/10.1787/9789264233294-en
OECD (2017) Shining Light on the Shadow Economy: Opportunities and Threats. https://www.oecd.org/tax/crime/shining-light-on-the-shadow-economy-opportunities-and-threats.pdf. Accessed 3 Jan 2022
OECD (2020) How’s life? 2020. OECD Publishing, Parishttps://doi.org/10.1787/9870c393-en
OECD (2022) An outsized ecological footprint: humanity’s ecological footprint by land type against Earth’s biocapacity, global hectares (gha), 1961-2021, In Trends Sha** Education 2022. OECD Publishing, Paris. https://doi.org/10.1787/2da3b402-en
OECD (n.d.) Greenhouse gas emissions. https://stats.oecd.org/Index.aspx?DataSetCode=AIR_GHG. Accessed 3 Jan 2022
OECD (n.d.) OECD environmental data and indicators. https://www.oecd.org/env/indicators-modelling-outlooks/data-and-indicators.htm
Opschoor JB, & Vos H (1989) Economic instruments for environmental protection. Organization for Economic Cooperation and Development, Paris, France
Panayotou T (1993) Empirical tests and policy analysis of environmental degradation at different stages of economic development, Working Paper WP238 Technology and Employment Programme, Geneva: International Labor Office.
Powell D (2016) Quantile regression with nonadditive fixed effects. Available at:. https://www.works.bepress.com/david_powell/1/. Accessed 3 Jan 2022
Zagoršek H, Jaklič M, & Hribernik A (2009) The shadow economy and its impact on national competitiveness: the case of Slovenia. South East Eur J Econ Bus 4(1) https://doi.org/10.2478/v10033-009-0003-6
Žukauskas V (2019) Reducing Shadow Economies: From Drivers to Policies. Lithuanian Free Market Institute.
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Conceptualization: Lan Khanh Chu; methodology: Lan Khanh Chu; formal analysis and investigation: Lan Khanh Chu, Dung Phuong Hoang; writing — original draft preparation: Dung Phuong Hoang; writing — review and editing: Lan Khanh Chu; supervision: Lan Khanh Chu.
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Chu, L.K., Hoang, D.P. The shadow economy-environmental quality nexus in OECD countries: empirical evidence from panel quantile regression. Environ Sci Pollut Res 29, 65233–65258 (2022). https://doi.org/10.1007/s11356-022-20410-y
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DOI: https://doi.org/10.1007/s11356-022-20410-y