Skip to main content
Log in

Examining the impacts of economic and demographic aspects on the ecological footprint in South and Southeast Asian countries

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

The re-examination of the existing economic and environmental policies in the South and Southeast Asian countries seems to be necessary, as these countries are struggling to achieve the goals of sustainable development. For designing a long-term environmental policy, we intended to examine whether the selected economic and demographic indicators have influenced the ecological footprint in the eight developing countries of Asia from 1990 to 2015. The use of pooled mean group (PMG) approach allowed driving the long-run common coefficients, which may facilitate us to develop a common policy framework for fortifying the environmental quality. The computed results confirmed that the selected variables are cointegrated in the long run, and the variables, i.e., per capita income, nonrenewable energy usage, urbanization, fertility rate, and population density are observed as the significant drivers of the environmental pollution. Moreover, the consumption of renewable energy restored the environmental quality in these countries. Based on the results, we recommended the need for the diversification of the energy-basket for enhancement of the use of renewable energy resources. Further, through sensitization of the necessity of environmental conservation, the governments should promote less carbon-intense economic and demographic practices across the industries and sectors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+
from €37.37 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Price includes VAT (Norway)

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. Details available at http://ap.fftc.org.tw/ap_db.php?id=281

References

  • Acharyya J (2009) FDI, growth and the environment: evidence from India on CO2 emission during the last two decades. J Econ Dev 34(1):43–58

    Google Scholar 

  • Al-mulali, U., Weng-Wai, C., Sheau-Ting, L., Mohammed, A., 2015. Investigating the environmental Kuznets curve (EKC) hypothesis by utilizing the ecological footprint as an indicator of environmental degradation. Ecological indicators, 48, 315-323

  • Alola A (2019) The trilemma of trade, monetary and immigration policies in the United States: accounting for environmental sustainability. Sci Total Environ 658:260–267

    CAS  Google Scholar 

  • Alola AA, Arikewuyo AO, Ozad B, Alola UV, Arikewuyo HO (2019a) A drain or drench on biocapacity? Environmental account of fertility, marriage, and ICT in the USA and Canada. Environ Sci Pollut Res 27:4032–4043

    Google Scholar 

  • Alola A, Bekum F, Sarkodie S (2019b) Dynamic impact of trade policy, economic growth, fertility rate, renewable and non-renewable energy consumption on ecological footprint in Europe. Sci Total Environ 685:702–709

    CAS  Google Scholar 

  • Baltagi B, Bratberg E, Holmas T (2005) A panel data study of physicians’ labor supply: the case of Norway. Health Econ 14(10):1035–1045

    Google Scholar 

  • Birdsall N (1992) Another look at population and global warming. In: Policy research working paper series 1020, the World Bank, population, health, and nutrition. D.C, Washington

    Google Scholar 

  • Cafaro P (2012) Climate ethics and population policy. Climate Change 3(1):45–61

    Google Scholar 

  • Charfeddine L (2017) The impact of energy consumption and economic development on ecological footprint and CO2 emissions: evidence from a Markov switching equilibrium correction model. Energy Econ 65:355–374

    Google Scholar 

  • Chudik AM, Pesaran H (2015) Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. J Econ 188(2):393–420

  • Danish B, Wang ZW (2017) Energy production, economic growth and CO2 emission: evidence from Pakistan. Nat Hazards 90(1):27–50

    Google Scholar 

  • Destek MA, Sinha A (2020) Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: evidence from organisation for economic co-operation and development countries. J Clean Prod 242:118537

    Google Scholar 

  • Dietz T, Rosa E, York (2007) Driving the human ecological footprint. Front Ecol Environ 5(1):13–18

    Google Scholar 

  • Dogan E, Taspinar N, Gokmenoglu K (2019) Determinants of ecological footprint in MINT countries. Energy & Environment 30(6):1065–1086

    Google Scholar 

  • Dong K, Sun R, Li H, Liao H (2018) Does natural gas consumption mitigate CO2 emissions: testing the environmental Kuznets curve hypothesis for 14 Asia-Pacific countries. Renew Sust Energ Rev 94:419–429

    Google Scholar 

  • Downey L, Hawkins B (2008) Single-mother families and air pollution: a national study. Soc Sci Q 89(2):523–536

    Google Scholar 

  • Feng, Z., Wu, J., 2011. Relationship between the ecological footprint and the economic growth in China. 2011 international conference on remote sensing, environment and transportation engineering, IEEE, Nanjing, China (pp. 6205-6211)

  • Friedl B, Getzner M (2003) Determinants of CO2 emissions in a small open economy. Ecol Econ 45(1):133–148

    Google Scholar 

  • Gielen D, Boshell F, Saygin D, Bazilian M, Wagner N, Gorini R (2019) The role of renewable energy in the global energy transformation. Energy Strategy Reviews 24:38–50

    Google Scholar 

  • Godfray H, Garnetl T (2014) Food security and sustainable intensification. Philos Trans R Soc B 369(1639):1–10

    Google Scholar 

  • Greenpeace Southeast Asia., 2019. Latest air pollution data ranks world’s cities worst to best. https://www.greenpeace.org/southeastasia/press/679/latest-air-pollution-data-ranks-worlds-cities-worst-to-best/

  • Hasnat, G., Kabir, M., Hossain, M., 2018. Major environmental issues and problems of South Asia, particularly Bangladesh. In: Hussain, C. (Ed.) handbook of environmental materials management, Switzerland AG: springer, Cham, (pp. 1-40)

  • Holtz-Eakin D, Selden T (1995) Stoking the fires? CO2 emissions and economic growth. J Public Econ 57(1):85–101

    Google Scholar 

  • Hubacek K, Guan D, Barrett J, Wiedmann T (2009) Environmental implications of urbanization and lifestyle change in China: ecological and water footprints. J Clean Prod 17(14):1241–1248

    Google Scholar 

  • Isaksen E, Narbel P (2017) A carbon footprint proportional to expenditure-a case for Norway? Ecol Econ 131:152–165

    Google Scholar 

  • Karasoy A, Akçay S (2019) Effects of renewable energy consumption and trade on environmental pollution. Manag Environ Qual 30(2):437–455

    Google Scholar 

  • Khanal R, Shrestha S (2005) Development of procedures and the assessment of EDB of local levels due to major environmental risk factors. Nepal Health Research Council, Kathmandu

    Google Scholar 

  • Khwaja M, Umer F, Shaheen N, Sherazi A, Shaheen F (2012) Air pollution reduction and control in South Asia. In: Working paper series 121. Pakistan, Sustainable Development Policy Institute, Islamabad

    Google Scholar 

  • Kolcava D, Nguyen Q, Bernauer T (2019) Does trade liberalization lead to environmental burden shifting in the global economy? Ecol Econ 163:98–112

    Google Scholar 

  • Liang, L., Wang, Z., Li, J., 2019. The effect of urbanization on environmental pollution in rapidly developing urban agglomerations. Journal of cleaner production 237 (10 November 2019), https://www.sciencedirect.com/science/article/pii/S0959652619324990

  • Liu J, Daily G, Ehrlich P, Luck G (2003) Effects of household dynamics on resource consumption and biodiversity. Nature 421:530–533

    CAS  Google Scholar 

  • MacKinnon J (2002) Status of biodiversity in Asia—ICEM. In: Carew-Reid J (ed) Biodiversity planning in Asia. IUCN. Gland, Switzerland and Cambridge, UK, pp 49–72

    Google Scholar 

  • Marquart-Pyatt S (2015) Environmental sustainability: the ecological footprint in West Africa. Hum Ecol Rev 22(1):73–92

    Google Scholar 

  • Nasir M, Huynh T, Tram H (2019) Role of financial development, economic growth & foreign direct investment in driving climate change: a case of emerging ASEAN. J Environ Manag 242:131–141

    Google Scholar 

  • Nazir M, Mahdi A, Bilal M, Sohail H, Ali N, Iqbal H (2019) Environmental impact and pollution-related challenges of renewable wind energy paradigm – a review. Sci Total Environ 683:436–444

    CAS  Google Scholar 

  • Newman P (2006) The environmental impact of cities. Environ Urban 18(2):275–295

    Google Scholar 

  • Nguyen D, Sévi B, Sjö B, Uddin G (2017) The role of trade openness and investment in examining the energy-growth-pollution nexus: empirical evidence for China and India. Appl Econ 49(40):4083–4098

    Google Scholar 

  • OECD (2018) Economic outlook for Southeast Asia, China and India 2018: fostering growth through digitalisation. OECD Publishing, Paris http://dx.doi.org/9789264286184-en

    Google Scholar 

  • Pedroni P (1999) Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxf Bull Econ Stat 61(s1):653–670

    Google Scholar 

  • Pesaran M, Shin Y, Smith R (1999) Pooled mean group estimation of dynamic heterogeneous panels. Journal of American Statistic Association 94(446):621–634

    Google Scholar 

  • Piaggio M, Padilla E, Román C (2017) The long-term relationship between CO2 emissions and economic activity in a small open economy: Uruguay 1882–2010. Energy Econ 65:271–282

    Google Scholar 

  • PTI., 2018. CO2 emissions cost India USD 210 billion every year: study. The Economics Times, https://economictimes.indiatimes.com/news/economy/indicators/co2-emissions-cost-india-usd-210-billion-every-year-study/articleshow/65961331.cms?from=mdr

  • PTI., 2019. India's pollution control policies unlikely to improve air quality: study. The Economic Times, https://economictimes.indiatimes.com/news/politics-and-nation/indias-pollution-control-policies-unlikely-to-improve-air-quality-study/articleshow/68654604.cms?from=mdr

  • Remuzgo L, Sarabia J (2015) International inequality in CO2 emissions: a new factorial decomposition based on Kaya factors. Environ Sci Pol 54:15–24

    CAS  Google Scholar 

  • Ritchie, H., Roser, M., 2019. Urbanization, https://ourworldindata.org/urbanization#note-4

  • Rodríguez M, Pena-Boquete Y (2017) Carbon intensity changes in the Asian dragons. Lessons for climate policy design. Energy Econ 66:17–26

    Google Scholar 

  • Sahoo, P., 2006. Foreign direct investment in South Asia: policy, trends, impact and determinants. ADB Institute discussion paper no. 56, Asian Development Bank, Manila, Philippines

  • Selden T, Song D (1994) Environmental quality and development: is there a Kuznets curve for air pollution emissions? J Environ Econ Manag 27(2):147–162

    Google Scholar 

  • Shahbaz M, Sinha A (2019) Environmental Kuznets curve for CO2 emissions: a literature survey. J Econ Stud 46(1):106–168

    Google Scholar 

  • Sharma R, Kautish P, Kumar D (2018) Assessing dynamism of crude oil demand in middle-income countries of South Asia: a panel data investigation. Glob Bus Rev:1–15 https://journals.sagepub.com/doi/pdf/10.1177/0972150918795367

  • Sharma, R., Kautish, P., Uddin, M., 2019. Do the international economic endeavors affect CO2 emissions in open economies of South Asia? An empirical examination under nonlinearity. Management of Environmental Quality, 1-28, https://doi.org/10.1108/MEQ-05-2019-0099

  • Squires D (2013) Biodiversity conservation in Asia. Asia & the Pacific Policy Studies 1(1):144–159

    Google Scholar 

  • The Economic Times., 2019. Out of top 10 most polluted cities in the world, 7 cities are from India alone. The Economic Times, https://economictimes.indiatimes.com/news/politics-and-nation/out-of-top-10-most-polluted-cities-in-the-world-7-cities-are-from-india-alone/south-asias-battle/slideshow/68266564.cms

  • Tjoek P, Wu P (2018) Exploring the environmental Kuznets curve for CO2 and SO2 for Southeast Asia in the 21st century context. Environmental Economics 9(1):7–21

    Google Scholar 

  • Uddin G, Salahuddin M, Alam A, Gow J (2017) Ecological footprint and real income: panel data evidence from the 27 highest emitting countries. Ecol Indic 77:166–175

    Google Scholar 

  • Ulucak R, Bilgili F (2018) A reinvestigation of EKC model by ecological footprint measurement for high, middle and low income countries. J Clean Prod 188:144–157

    Google Scholar 

  • UNDP., 2019. Sustainable development goals. United Nations Development Programme: https://www.undp.org/content/undp/en/home/sustainable-development-goals.html

  • United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP), 2020. Asia and the Pacific SDG Progress Report 2020. Available at: https://www.unescap.org/publications/asia-and-pacific-sdg-progress-report-2020

  • Wackernagel M, Rees W (1996) Our ecological footprint: reducing human impact on the earth. New Society Publisher, Gabriola Island, BC

    Google Scholar 

  • World Bank., 2015. Malaysia among most urbanized countries in East Asia, https://www.worldbank.org/en/news/feature/2015/01/26/malaysia-among-most-urbanized-countries-in-east-asia

  • World Bank., 2019. World Development Indicators, https://data.worldbank.org/indicator

  • Yorifuji T (2015) Health impact assessment of PM10 and PM2.5 in 27 Southeast and East Asian cities. J Occup Environ Med 57(7):751–756

    CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rajesh Sharma.

Additional information

Responsible Editor: Philippe Garrigues

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 357 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sharma, R., Sinha, A. & Kautish, P. Examining the impacts of economic and demographic aspects on the ecological footprint in South and Southeast Asian countries. Environ Sci Pollut Res 27, 36970–36982 (2020). https://doi.org/10.1007/s11356-020-09659-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1007/s11356-020-09659-3

Keywords

JEL classification