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Sustainability assessment using STIRPAT approach to environmental quality: an extended panel data analysis

Abstract

The consequence of increasing economic activities is observable in the incidence of environmental deterioration. Many studies have explored the precedents of environment quality. In this regard, the proposed stochastic impacts by regression on population, affluence, and technology (STIRPAT) and environmental Kuznets curve (EKC) analysis are valuable not only for academic analysts, but also for policymakers. This study has focused on 80 selected countries between 1990 and 2017, which confirms the existence of EKC within the STIRPAT framework. The results are estimated with the help of dynamic ordinary least square (DOLS), which controls for the autocorrelation in long periods. According to the estimated results, this study confirms U-shaped EKC based on industrial-, agricultural-, and services-based economic activities. This means that over-reliance on one specific economic activity may harm the environment and create footprint. In this regard, urbanization is responsible for affecting carbon dioxide emissions. Moreover, governance and technology are protecting the environment. This quadratic function had classified the sample countries in terms of the degree of sustainability of their economic activity sectors. This study proposes that countries should work on a balanced composition of economic activity so that the lowest possible environmental deterioration is caused.

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Data availability

The data are publically available, and their sources are mentioned in Table 1.

References

  • Abduqayumov S, Arshed N, Bukhari S (2020) Economic impact of institutional quality on environmental performance in post-soviet countries. Transit Stud Rev 27(2):13–24

    Google Scholar 

  • Ahmed K, Qazi QA (2013) Environmental Kuznets curve for CO2 emission in Mongolia: an empirical analysis. Manag Environ Qual 25(4):505–516

    Google Scholar 

  • Alcantara V, Padilla E (2009) Input-output subsystems and pollution: an application to the service sector and CO2 emissions in Spain. Ecol Econ 68:905–914

    Google Scholar 

  • Altıntaş H, Kassouri Y (2020) Is the environmental Kuznets curve in Europe related to the per-capita ecological footprint or CO2 emissions? Ecol Indic 113:106187

    Google Scholar 

  • Ansari MA, Ahmad MR, Siddique S, Mansoor K (2020) An environment Kuznets curve for ecological footprint: Evidence from GCC countries. Carbon Manag 11(4):355–368

    CAS  Google Scholar 

  • Anser MK, Hanif I, Alharthi M, Chaudhry IS (2020) Impact of fossil fuels, renewable energy consumption and industrial growth on carbon emissions in Latin American and Caribbean economies. Atmósfera 33(3):201–213

    CAS  Google Scholar 

  • Anwar A, Sarwar S, Amin W, Arshed N (2019) Agricultural practices and quality of environment: evidence for global perspective. Environ Sci Pollut Res 26(15):15617–15630

    CAS  Google Scholar 

  • Arshed N, Iqbal M (2018) Can environmental Kuznets curve be moderated? A comparison of SAARC and G7 economies. Paper presented at the 2nd FCCU Economics Research conference on Growth Governance and Socio-Economic Gaps. Forman Christian College University Lahore, Pakistan

  • Arshed N, Anwar A, Kousar N, Bukhari S (2018) Education enrollment level and income inequality: a case of SAARC economies. Soc Indic Res 140(3):1211–1224

    Google Scholar 

  • Arshed N, Anwar A, Hassan MS, Bukhari S (2019) Education stock and its implication for income inequality: the case of Asian economies. Rev Dev Econ 23(2):1050–1066

    Google Scholar 

  • Awad A, Qarsame MH (2017) Climate changes in Africa: does economic growth matter? A semi-parametric approach. Int J Energy Econ Policy 7(1):1–8

    Google Scholar 

  • Bai A, Popp J, Peto KS, Gabnai Z (2017) The significance of forests and algae in CO2 balance: a Hungarian case study. Sustainability 9(857):1–24

    Google Scholar 

  • Baloch MA, Wang B (2019) Analyzing the role of governance in CO2 emissions mitigation: The BRICS experience. Struct Chang Econ Dyn 51:119–125

  • Bargaoui SA, Liouane N, Nouri FZ (2014) Environmental impact determinants: an empirical analysis based on the STIRPAT model. Procedia Soc Behav Sci 109:449–458

    Google Scholar 

  • Buntar I, Llop M (2011) Structural decomposition analysis and input–output subsystems: changes in CO2 emissions of Spanish service sectors (2000–2005). Ecol Econ 70:2012–2019

    Google Scholar 

  • Chiang AC, Wainwrigth K (2009) Fundamental methods of mathematical economics, International edn. McGraw Hill, Boston

    Google Scholar 

  • Cole H, Neumayer E (2004) Examining the impact of demographic factors on air pollution. Popul Environ 26(1):5–21

    Google Scholar 

  • Cui H, Wu R, Zhao T (2018) Decomposition and forecasting of CO2 emissions in China’s power sector based on STIRPAT model with selected PLS model and a novel hybrid PLS-Grey-Markov model. Energies 11(11):29–85

    Google Scholar 

  • Dadgara Y, Nazari R (2017) The impact of good governance on environmental pollution in south west Asian countries. Ir J Econ Stud 5(1):49–63

    Google Scholar 

  • Darbo (2010) UN sustainable development goals. United Nations. https://www.un.org/sustainabledevelopment/sustainable-development-goals/. Accessed 5 December 2020

  • Dawson JF, Richter AW (2006) Probing three-way interactions in moderated multiple regression: development and application of a slope difference test. J Appl Psychol 91:917–926

    Google Scholar 

  • Destek AM, Ulucak R, Dogan E (2018) Analyzing the environmental Kuznets curve for the EU countries: the role of ecological footprint. Environ Sci Pollut Res 25(20):29387–29396

    Google Scholar 

  • Dinda S (2018) Production technology and carbon emission: long-run relation with short-run dynamics. J Appl Econ 21(1):106–121

    Google Scholar 

  • Dong K, Sun R, Hochman G, Zeng X, Li H, Jiang H (2017) Impact of natural gas consumption on CO2 emissions: panel data evidence from China’s provinces. J Clean Prod 162:400–410

    Google Scholar 

  • Eckart K (2017) How air pollution clouds our mental health. University of Washington. https://www.washington.edu/news/2017/11/02/how-air-pollution-clouds-mental-health/. Accessed 5 December 2020

  • Erdogan S (2020) Analyzing the environmental Kuznets curve hypothesis: the role of disaggregated transport infrastructure investments. Sustain Cities Soc 61:102338

    Google Scholar 

  • Erdogan S, Okumus I, Guzel AE (2020) Revisiting the environmental Kuznets curve hypothesis in OECD countries: the role of renewable, non-renewable energy, and oil prices. Environ Sci Pollut ResEarly Print:1–9

  • European Academies' Science Advisory Council (2019) The imperative of climate action to protect human health in Europe. EASAC Policy Report 38

  • Fan Y, Liu LC, Wu G, Wei YM (2006) Analyzing impact factors of CO2 emissions using the STIRPAT model. Environ Impact Assess Rev 26(4):377–395

    Google Scholar 

  • Franchini M, Mannucci MP, Pontoni F, Croci E (2015) The health and economic burden of air pollution. Am J Med 128(9):931–932

    Google Scholar 

  • Galeotti M, Manera M, Lanza A (2009) On the robustness of robustness checks of the environmental Kuznets curve hypothesis. Environ Resour Econ 42(4):551–574

    Google Scholar 

  • Ge X, Zhou Z, Zhou Y, Ye X, Liu S (2018) A spatial panel data analysis of economic growth, urbanization, and nox emissions in China. Int J Environ Res Public Health 15(4):725

    Google Scholar 

  • Gujarati DN (2009) Basic econometrics. Tata McGraw-Hill Education, New Dehli

    Google Scholar 

  • Haans RF, Pieters C, He ZL (2016) Thinking about U: theorizing and testing U-and inverted U-shaped relationships in strategy research. Strateg Manag J 37(7):1177–1195

    Google Scholar 

  • Hassan MS, Meo MS, Abd Karim MZ, Arshed N (2020) Prospects of environmental Kuznets curve and green growth in developed and developing economies. Est Econ Aplic 38(3):2

    Google Scholar 

  • He Y, Hu S (2018) Analysis and prediction of the influencing factors of China’s secondary industry carbon emission under the new normal. Paper presented at the IOP Conference Series: Materials Science and Engineering, IOP Publishing

  • Hong Y (2017) The impact of Chongqing population size and structure on carbon emissions: a study base on STIRPAT model. Paper presented at the 2017 2nd International Seminar on Education Innovation and Economic Management (SEIEM 2017), Atlantis Press

  • Ji X, Chen B (2017) Assessing the energy-saving effect of urbanization in China based on stochastic impacts by regression on population, affluence and technology (STIRPAT) model. J Clean Prod 163:s306–s314

    Google Scholar 

  • Jia J, Deng H, Duan J, Zhao J (2009) Analysis of the major drivers of the ecological footprint using the STIRPAT model and the PLS method: a case study in Henan Province, China. Ecol Econ 68(11):2818–2824

    Google Scholar 

  • Khan MS (2019) One-third of Himalayan glaciers with melt by 2100, claims new study. The Express Tribune. https://tribune.com.pk/story/1903580/3-one-third-himalayan-glaciers-will-melt-2100-claims-new-study/. Accessed 5 December 2020

  • Li B, Liu X, Li Z (2015) Using the STIRPAT model to explore the factors driving regional CO2 emissions: a case of Tianjin, China. Nat Hazards 76(3):1667–1685

    Google Scholar 

  • Li Y, Zheng J, Li F, Jin X, Xu C (2017) Assessment of municipal infrastructure development and its critical influencing factors in urban China: a FA and STIRPAT approach. PLoS One 12(8):e0181917

    Google Scholar 

  • Liddle B (2011) Consumption-driven environmental impact and age structure change in OECD countries: a cointegration-STIRPAT analysis. Demogr Res 24:749–770

    Google Scholar 

  • Lim J, Won D (2019) Impact of CARB’s tailpipe emission standard policy on CO2 reduction among the US states. Sustainability 11(4):1202

    CAS  Google Scholar 

  • Lin S, Zhao D, Mirnova D (2008) Environmental impact of China: analysis based on the STIRPAT model. Paper presented at the Second International Association for Energy Economics (IAEE) Asian Conference, Australia

  • Lin S, Sun J, Marinova D, Zhao D (2017) Effects of population and land urbanization on China’s environmental impact: empirical analysis based on the extended STIRPAT model. Sustainability 9(5):825

    Google Scholar 

  • Loira K (2018) Air pollution is making you less intelligent, according to a new study. World Economic Forum. https://www.weforum.org/agenda/2018/08/air-pollution-is-damaging-your-brain-concludes-new-study. Accessed 5 December 2020

  • Lv T, Wu X (2019) Using panel data to evaluate the factors affecting transport energy consumption in China’s three regions. Int J Environ Res Public Health 16(4):555

    CAS  Google Scholar 

  • Ma M, Pan T, Ma Z (2017) Examining the driving factors of Chinese commercial building energy consumption from 2000 to 2015: a STIRPAT model approach. J Eng Sci Technol Rev 10(3):28–34

    Google Scholar 

  • Mania E (2020) Export diversification and CO2 emissions: an augmented environmental Kuznets curve. J Int Dev 32(2):168–185

    Google Scholar 

  • Marin G, Mazzanti M (2013) The evolution of environmental and labor productivity dynamics. J Evol Econ 23(2):357–399

    Google Scholar 

  • Martin S, Andres E (2012) The role of governance for improved environmental outcomes. Report 6514, Swedish Environmental Protection Agency

  • McGee JA, Clement MT, Besek JF (2015) The impacts of technology: a re-evaluation of the STIRPAT model. Environ Sociol 1(2):81–91

    Google Scholar 

  • Mensah CN, Long X, Dauda L, Boamah KB, Salman M (2019) Innovation and CO2 emissions: the complementary role of eco-patent and trademark in the OECD economies. Environ Sci Pollut Res 26(22):22878–22891

    CAS  Google Scholar 

  • Mikayilov J, Shukurov V, Mukhtarov S, Yusifov S (2017) Does urbanization boost pollution from transport? Acta Univ Agric et Silvic Mendelianae Brun 65(5):1709–1718

    Google Scholar 

  • Ng CF, Choong CK, Lau LS (2020) Environmental Kuznets curve hypothesis: asymmetry analysis and robust estimation under cross-section dependence. Environ Sci Pollut Res 27:18685–18698. https://doi.org/10.1007/s11356-020-08351-w

  • Niu H, Lekse W (2018) Carbon emission effect of urbanization at regional level: empirical evidence from China. Economics Kiel 12(44):1–31

    Google Scholar 

  • Noorpoor AR, Kudahi SN (2015) CO2 emissions from Iran’s power sector and analysis of the influencing factors using the stochastic impacts by regression on population, affluence and technology (STIRPAT) model. Carbon Manag 6(3–4):101–116

    CAS  Google Scholar 

  • Och M (2017) Empirical investigation of the environmental Kuznets curve hypothesis for nitrous oxide emissions for Mongolia. Int J Energy Econ Policy 7(1):117–128

    Google Scholar 

  • Ongan S, Isik C, Ozdemir D (2020) Economic growth and environmental degradation: evidence from the US case environmental Kuznets curve hypothesis with application of decomposition. J Environ Econ and Policy Early Print:1–8

  • Ponce P, Alvarado R (2019) Air pollution, output, FDI, trade openness, and urbanization: evidence using DOLS and PDOLS cointegration techniques and causality. Environ Sci Pollut Res 26(19):19843–19858

    Google Scholar 

  • Rafiq S, Salim R, Apergis N (2016) Agriculture, trade openness and emissions: an empirical analysis and policy options. Aust J Agric Resour Econ 60(3):348–365

    Google Scholar 

  • Rehman H, Zeb S (2020) Determinants of environmental degradation in economy of Pakistan. Empir Econ Rev 3(1):85–109 https://ojs.umt.edu.pk/index.php/eer/article/view/437. Accessed 5 December 2020

    Google Scholar 

  • Rehman H, Chaudhry IS, Arshed N, Sardar MS (2020) The nonlinear relationship between trade balance and income for selected Asian economies. Rev Appl Manag Soc Sci 3(2):177–192

    Google Scholar 

  • Schulze PC (2002) I = PBAT. Ecol Econ 40(2):149–150

    Google Scholar 

  • Shahbaz M, Longanthan N, Muzaffar AT, Ahmed K, Jabran MA (2016) How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model. Renew Sust Energ Rev 57:83–93

    CAS  Google Scholar 

  • Twerefou KD, Poku AF, Bekoe W (2016) An empirical examination of the environmental Kuznets curve hypothesis for carbon dioxide emissions in Ghana: an ARDL approach. Environ Soc-Econ Stud 4(4):1–12

    Google Scholar 

  • Uddin GA, Alam K, Gow G (2016) Estimating the major contributors to environmental impacts in Australia. Int J Ecol Econ Stat 37(1):1–14

    Google Scholar 

  • Vlontzos G, Niavis S, Pardalos P (2017) Testing for environmental Kuznets curve in the EU agricultural sector through an eco-(in) efficiency index. Energies 10:1–15

    Google Scholar 

  • Wang Y, Shen N (2016) Agricultural environmental efficiency and agricultural environmental Kuznets curve based on technological gap: the case of China. Pol J Environ Stud 26(3):1293–1303

    Google Scholar 

  • Wang M, Liu J, Wang J, Zhao G (2010) Ecological footprint and major driving forces in West Jilin Province, Northeast China. Chin Geogr Sci 20(5):434–441

    Google Scholar 

  • Wang M, Che Y, Yang K, Wang M, Xiong L, Huang Y (2011) A local-scale low-carbon plan based on the STIRPAT model and the scenario method: the case of Minhang District, Shanghai, China. Energy Policy 39(11):6981–6990

    CAS  Google Scholar 

  • Wang S, Fang C, Li G (2015) Spatiotemporal characteristics, determinants and scenario analysis of CO2 emissions in China using provincial panel data. PLoS One 10(9):e0138666

    Google Scholar 

  • Wang S, Zhao T, Zheng H, Hu J (2017) The STIRPAT analysis on carbon emission in Chinese cities: an asymmetric Laplace distribution mixture model. Sustainability 9(12):2237

    Google Scholar 

  • Wen L, Liu Y (2015) Energy-related CO2 emissions in Hebei province: driven factors and policy implications. Environ Eng Res 21(1):74–83

    Google Scholar 

  • Wen L, Liu Y (2016) The peak value of carbon emissions in the Beijing-Tianjin-Hebei region based on the STIRPAT model and scenario design. Pol J Environ Stud 25(2):823–834

    CAS  Google Scholar 

  • Wester P, Mishra A, Mukhergi A, Shrestha AB (2018) The Hindu Kush Himalaya assessment. Springer, Berlin

    Google Scholar 

  • Xiong C, Chen S, Huang R (2019) Extended STIRPAT model-based driving factor analysis of energy-related CO2 emissions in Kazakhstan. Environ Sci Pollut Res 26(16):15920–15930

    CAS  Google Scholar 

  • York R, Rosa AE, Dietz T (2003) STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts. Ecol Econ 46:351–365

    Google Scholar 

  • Yuan R, Zhao T, Xu X, Kang J (2015) Regional characteristics of impact factors for energy-related CO2 emissions in China, 1997–2010: evidence from tests for threshold effects based on the STIRPAT model. Environ Model Assess 20(2):129–144

    Google Scholar 

  • Zhao XY (2010) Impacts of human activity on environment in the high-cold pasturing area: a case of Gannan pasturing area. Acta Ecol Sin 30(3):141–149

    Google Scholar 

  • Zhao QZ, Yan QY (2013) Driving factors analysis of carbon dioxide emissions in China based on STIRPAT model. In: Advanced Materials Research, vol 743. Trans Tech Publications, pp 1910-1914

  • Zhao C, Chen B, Hayat T, Alsaedi A, Ahmad B (2014) Driving force analysis of water footprint change based on extended STIRPAT model: evidence from the Chinese agricultural sector. Ecol Econ 47:43–49

    Google Scholar 

  • Zineb SB (2016) International trade and CO2 emissions: a dynamic panel data analysis by the STIRPAT model. J Econ Sust Dev 7(12):94–104

    Google Scholar 

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Noman Arshed, Mubbasher Munir and Mubasher Iqbal have contributed equally to the preparation of this research manuscript.

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Correspondence to Noman Arshed.

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Appendix

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Table 5 Estimated results with ecological footprint

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Arshed, N., Munir, M. & Iqbal, M. Sustainability assessment using STIRPAT approach to environmental quality: an extended panel data analysis. Environ Sci Pollut Res 28, 18163–18175 (2021). https://doi.org/10.1007/s11356-020-12044-9

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Keywords

  • Environmental quality
  • Environment Kuznets curve
  • Agriculture
  • Services
  • STIRPAT
  • Technology
  • Governance