Skip to main content

Advertisement

Log in

Global value chains participation and environmental degradation in SAARC economies

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

The rapid rise in the globalization of production processes, knowledge spillovers, grave environmental concerns, and sustainable development goals have attracted researchers and policymakers to explore the causes and consequences of these transformations. The developing countries such as The South Asian Association for Regional Cooperation (SAARC) countries are considered highly vulnerable to climatic changes. The purpose of this study is to examine the impact of global value chains participation both at the aggregated and disaggregated level on CO2 emissions in selected SAARC countries. The relationship among the modeled variables is estimated through the random-effects and fixed-effects models by using the robust standard errors as proposed by Driscoll and Kraay (1998). The findings indicate that the global value chains participation is pollution-intensive. Moreover, it is found that the global financial crisis of 2008 led to a decline in CO2 emissions. However, the emergence of World Trade Organization (WTO) particularly after the Doha agreement of 2001 has a significant positive impact on CO2 emissions in these countries. Based upon the empirical findings, some policy suggestions are also provided.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data availability

Data used in this study can be made available.

Notes

  1. These factors are flexible hiring, factor mobility within China, intra-firm trading, tariff reductions, better infrastructure, improved customs procedures, and accessibility to GVCs and growth markets.

  2. Source of figures: UNCTAD-Eora Global Value Chain Database.

  3. Source: https://www.worldbank.org/en/region/sar/brief/integrating-climate-and-development-in-south-asia/integrating-climate-and-development-in-south-asia-region.

  4. Available at: https://www.ipcc.ch/report/ar6/wg1/.

  5. Available at: https://openknowledge.worldbank.org/handle/10986/29461.

  6. Source: World Development Indicators.

  7. See Appendix Table A.1 for the list of selected countries.

  8. Source: WTO website.

  9. Source: https://databank.worldbank.org/source/world-development-indicators.

  10. Source: EORA global supply chain database https://worldmrio.com/.

References

  • Afridi, M. A., Kehelwalatenna, S., Naseem, I., & Tahir, M. (2019). Per capita income, trade openness, urbanization, energy consumption, and CO2 emissions: An empirical study on the SAARC region. Environmental Science and Pollution Research, 26(29), 29978–29990.

    CAS  Google Scholar 

  • Agarwal, R., Balasundharam, V., Blagrave, P., Gudmundsson, R., & Mousa, R. (2021). Climate change in South Asia: Further need for mitigation and adaptation. IMF Working Papers, (217).

  • Ahmed, K., Rehman, M. U., & Ozturk, I. (2017). What drives carbon dioxide emissions in the long-run? Evidence from selected South Asian Countries. Renewable and Sustainable Energy Reviews, 70, 1142–1153.

    CAS  Google Scholar 

  • Antràs, P. (2020). Conceptual aspects of global value chains. The World Bank Economic Review, 34(3), 551–574.

    Google Scholar 

  • Assamoi, G. R., Wang, S., Liu, Y., Gnangoin, T. B. Y., Kassi, D. F., & Edjoukou, A. J. R. (2020). Dynamics between participation in global value chains and carbon dioxide emissions: Empirical evidence for selected Asian countries. Environmental Science and Pollution Research, 27(14), 16496–16506.

    CAS  Google Scholar 

  • Baltagi, B. H. (2005). Econometric analysis of panel data 3rd England. JW & Sons.

    Google Scholar 

  • Chakraborty, D., Sehgal, V. K., Dhakar, R., Varghese, E., Das, D. K., & Ray, M. (2018). Changes in daily maximum temperature extremes across India over 1951–2014 and their relation with cereal crop productivity. Stochastic Environmental Research and Risk Assessment, 32(11), 3067–3081.

    Google Scholar 

  • Chishti, M. Z., Ullah, S., Ozturk, I., & Usman, A. (2020). Examining the asymmetric effects of globalization and tourism on pollution emissions in South Asia. Environmental Science & Pollution Research, 27(22), 27721–27737.

    Google Scholar 

  • Diao, X. D., Zeng, S. X., Tam, C. M., & Tam, V. W. (2009). EKC analysis for studying economic growth and environmental quality: A case study in China. Journal of Cleaner Production, 17(5), 541–548.

    Google Scholar 

  • Dimri, A. P. (2019). Comparison of regional and seasonal changes and trends in daily surface temperature extremes over India and its subregions. Theoretical and Applied Climatology, 136(1), 265–286.

    Google Scholar 

  • Dogan, E., & Turkekul, B. (2016). CO2 emissions, real output, energy consumption, trade, urbanization and financial development: Testing the EKC hypothesis for the USA. Environmental Science and Pollution Research, 23(2), 1203–1213.

    Google Scholar 

  • Duan, Y., Ji, T., & Yu, T. (2021). Reassessing pollution haven effect in global value chains. Journal of Cleaner Production, 284, 124705.

    Google Scholar 

  • Dunn, R. J., Alexander, L. V., Donat, M. G., Zhang, X., Bador, M., Herold, N., Lippmann, T., Allan, R., Aguilar, E., Barry, A. A., & Brunet, M. (2020). Development of an updated global land in situ-based data set of temperature and precipitation extremes: HadEX3. Journal of Geophysical Research: Atmospheres, 125(16), e2019JD032263.

    Google Scholar 

  • Erber, G., & Sayed-Ahmed, A. (2005). Offshore outsourcing. Intereconomics, 40(2), 100–112.

    Google Scholar 

  • Fodha, M., & Zaghdoud, O. (2010). Economic growth and pollutant emissions in Tunisia: An empirical analysis of the environmental Kuznets curve. Energy Policy, 38(2), 1150–1156.

    CAS  Google Scholar 

  • Godil, D. I., Sharif, A., Agha, H., & Jermsittiparsert, K. (2020). The dynamic nonlinear influence of ICT, financial development, and institutional quality on CO2 emission in Pakistan: New insights from QARDL approach. Environmental Science and Pollution Research, 27(19), 24190–24200.

    CAS  Google Scholar 

  • Hammer, A. B. (2017). Why have us firms offshored to China? Executive Briefings on Trade USITC.

    Google Scholar 

  • Hammer, A. B. (2017). The size and composition of US manufacturing offshoring in China. Executive Briefings on Trade (USITC).

    Google Scholar 

  • Hanif, I., & Gago-de-Santos, P. (2017). The importance of population control and macroeconomic stability to reducing environmental degradation: An empirical test of the environmental Kuznets curve for developing countries. Environmental Development, 23, 1–9.

    Google Scholar 

  • Jalles, J. T. (2020). The impact of financial crises on the environment in developing countries. Annals of Finance, 16(2), 281–306.

    Google Scholar 

  • Jiang, X., & Guan, D. (2017). The global CO2 emissions growth after international crisis and the role of international trade. Energy Policy, 109, 734–746.

    Google Scholar 

  • Jin, Z., Wang, J., Yang, M., & Tang, Z. (2022). The effects of participation in global value chains on energy intensity: Evidence from international industry-level decomposition. Energy Strategy Reviews, 39, 100780.

    Google Scholar 

  • Johnston, J., & DiNardo, J. (1972). Econometric methods (Vol. 2). Mc-Graw Hill Higher Education.

    Google Scholar 

  • Khalid, K., Usman, M., & Mehdi, M. A. (2021). The determinants of environmental quality in the SAARC region: A spatial heterogeneous panel data approach. Environmental Science and Pollution Research, 28(6), 6422–6436.

    Google Scholar 

  • Khan, Y., & Bin, Q. (2020). The environmental Kuznets curve for carbon dioxide emissions and trade on belt and road initiative countries: A spatial panel data approach. The Singapore Economic Review, 65(04), 1099–1126.

    Google Scholar 

  • Kim, D. H., Suen, Y. B., & Lin, S. C. (2019). Carbon dioxide emissions and trade: Evidence from disaggregate trade data. Energy Economics, 78, 13–28.

    Google Scholar 

  • Kummritz, V. (2016). Do global value chains cause industrial development? (No BOOK). The Graduate Institute of International and Development Studies Centre for Trade and Economic Integration.

    Google Scholar 

  • Latief, R., Kong, Y., Javeed, S. A., & Sattar, U. (2021). Carbon emissions in the SAARC countries with causal effects of FDI, economic growth and other economic factors: Evidence from dynamic simultaneous equation models. International Journal of Environmental Research and Public Health, 18(9), 4605.

    CAS  Google Scholar 

  • Le, H. P., & Ozturk, I. (2020). The impacts of globalization, financial development, government expenditures, and institutional quality on CO2 emissions in the presence of environmental Kuznets curve. Environmental Science and Pollution Research, 27(18), 22680–22697.

    CAS  Google Scholar 

  • Leontief, W. W. (1936). Quantitative input and output relations in the economic systems of the United States. The review of economic statistics, 18, 105–125.

    Google Scholar 

  • Meng, B., Peters, G. P., Wang, Z., & Li, M. (2018). Tracing CO2 emissions in global value chains. Energy Economics, 73, 24–42.

    Google Scholar 

  • Murshed, M., Ahmed, R., Kumpamool, C., Bassim, M., & Elheddad, M. (2021). The effects of regional trade integration and renewable energy transition on environmental quality: Evidence from South Asian neighbors. Business Strategy and the Environment., 30(8), 4154–4170.

    Google Scholar 

  • Naseem, S., & GuangJi, T. (2021). A system-GMM approach to examine the renewable energy consumption, agriculture and economic growth’s impact on CO2 emission in the SAARC region. GeoJournal, 86(5), 2021–2033.

    Google Scholar 

  • Nasreen, S., Anwar, S., & Ozturk, I. (2017). Financial stability, energy consumption and environmental quality: Evidence from South Asian economies. Renewable and Sustainable Energy Reviews, 67, 1105–1122.

    CAS  Google Scholar 

  • Panayotou, T. (2000). Globalization and environment. CID Working Paper Series

  • Peng, S., Zhang, W., & Sun, C. (2016). ‘Environmental load displacement’from the North to the South: A consumption-based perspective with a focus on China. Ecological Economics, 128, 147–158.

    Google Scholar 

  • Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels (IZA Discussion Paper No. 1240). Institute for the Study of Labor (IZA).

    Google Scholar 

  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22, 265–312.

    Google Scholar 

  • Phillips, P. C., & Sul, D. (2003). Dynamic panel estimation and homogeneity testing under cross section dependence. The Econometrics Journal, 6(1), 217–259.

    Google Scholar 

  • Rahman, M. M. (2017). Do population density, economic growth, energy use and exports adversely affect environmental quality in Asian populous countries? Renewable and Sustainable Energy Reviews, 77, 506–514.

    Google Scholar 

  • Rahman, M. M. (2020). Environmental degradation: The role of electricity consumption, economic growth and globalisation. Journal of Environmental Management, 253, 109742.

    Google Scholar 

  • Rahman, M. M., & Alam, K. (2021). Clean energy, population density, urbanization and environmental pollution nexus: Evidence from Bangladesh. Renewable Energy, 172, 1063–1072.

    CAS  Google Scholar 

  • Rahman, M. M., & Alam, K. (2022a). CO2 emissions in Asia-Pacific region: Do energy use, economic growth, financial development, and international trade have detrimental effects? Sustainability, 14(9), 5420.

    CAS  Google Scholar 

  • Rahman, M. M., & Alam, K. (2022b). The roles of globalization, renewable energy and technological innovation in improving air quality: Evidence from the world’s 60 most open countries. Energy Reports, 8, 9889–9898.

    Google Scholar 

  • Rahman, M. M., Nepal, R., & Alam, K. (2021). Impacts of human capital, exports, economic growth and energy consumption on CO2 emissions of a cross-sectionally dependent panel: Evidence from the newly industrialized countries (NICs). Environmental Science & Policy, 121, 24–36.

    CAS  Google Scholar 

  • Rahman, M. M., Saidi, K., & Mbarek, M. B. (2020). Economic growth in South Asia: The role of CO2 emissions, population density and trade openness. Heliyon, 6(5), e03903.

    Google Scholar 

  • Rehman, F. U., Nasir, M., & Kanwal, F. (2012). Nexus between corruption and regional environmental Kuznets Curve: The case of South Asian countries. Environment, Development and Sustainability, 14(5), 827–841.

    Google Scholar 

  • Rehman, M. U., & Rashid, M. (2017). Energy consumption to environmental degradation, the growth appetite in SAARC nations. Renewable Energy, 111, 284–294.

    Google Scholar 

  • Sadorsky, P. (2020). Energy related CO2 emissions before and after the financial crisis. Sustainability, 12(9), 3867.

    CAS  Google Scholar 

  • Sultana, N., Rahman, M. M., & Khanam, R. (2021). Environmental kuznets curve and causal links between environmental degradation and selected socioeconomic indicators in Bangladesh. Environment, Development and Sustainability, 24, 5426–5450.

    Google Scholar 

  • Sun, H., AttuquayeClottey, S., Geng, Y., Fang, K., & Amissah, C. K. J. (2019b). Trade openness and carbon emissions: Evidence from belt and road countries. Sustainability, 11(9), 2682.

    Google Scholar 

  • Sun, H. P., Tariq, G., Haris, M., & Mohsin, M. (2019a). Evaluating the environmental effects of economic openness: Evidence from SAARC countries. Environmental Science and Pollution Research, 26(24), 24542–24551.

    CAS  Google Scholar 

  • Tao, S., Zheng, T., & Lianjun, T. O. N. G. (2008). An empirical test of the environmental Kuznets curve in China: A panel cointegration approach. China Economic Review, 19(3), 381–392.

    Google Scholar 

  • Trade, E. (2013). Valuing growth opportunities. World Economic Forum.

    Google Scholar 

  • Wang, H., Pan, C., Ang, B. W., & Zhou, P. (2021). Does global value chain participation decouple chinese development from CO2 emissions? A structural decomposition analysis. The Energy Journal, 42(2), 183–204.

    Google Scholar 

  • Wang, J., Wan, G., & Wang, C. (2019). Participation in GVCs and CO2 emissions. Energy Economics, 84, 104561.

    Google Scholar 

  • Wang, Y., Han, R., & Kubota, J. (2016). Is there an environmental Kuznets curve for SO2 emissions? A semi-parametric panel data analysis for China. Renewable and Sustainable Energy Reviews, 54, 1182–1188.

    CAS  Google Scholar 

  • Wang, Z., Wei, S. J., Yu, X., & Zhu, K. (2017). Measures of participation in global value chains and global business cycles (No. w23222). National Bureau of Economic Research.

    Google Scholar 

  • Waqih, M. A. U., Bhutto, N. A., Ghumro, N. H., Kumar, S., & Salam, M. A. (2019). Rising environmental degradation and impact of foreign direct investment: An empirical evidence from SAARC region. Journal of Environmental Management, 243, 472–480.

    Google Scholar 

  • Xue, L., Haseeb, M., Mahmood, H., Alkhateeb, T. T. Y., & Murshed, M. (2021). Renewable energy use and ecological footprints mitigation: Evidence from selected South Asian economies. Sustainability, 13(4), 1613.

    CAS  Google Scholar 

  • Yasmeen, R., Li, Y., & Hafeez, M. (2019). Tracing the trade–pollution nexus in global value chains: Evidence from air pollution indicators. Environmental Science and Pollution Research, 26(5), 5221–5233.

    CAS  Google Scholar 

  • Zakaria, M., & Bibi, S. (2019). Financial development and environment in South Asia: The role of institutional quality. Environmental Science and Pollution Research, 26(8), 7926–7937.

    Google Scholar 

  • Zhang, D., Wang, H., Löschel, A., & Zhou, P. (2021). The changing role of global value chains in CO2 emission intensity in 2000–2014. Energy Economics, 93, 105053.

    Google Scholar 

  • Zhang, Z., Duan, Y., & Zhang, W. (2019). Economic gains and environmental costs from China’s exports: Regional inequality and trade heterogeneity. Ecological Economics, 164, 106340.

    Google Scholar 

  • Zhang, Z., Zhu, K., & Hewings, G. J. (2017). A multi-regional input–output analysis of the pollution haven hypothesis from the perspective of global production fragmentation. Energy Economics, 64, 13–23.

    Google Scholar 

Download references

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ahmad Nawaz.

Ethics declarations

Conflict of interest

There are no relevant financial or non-financial competing interests to report.

Additional information

Publisher's Note

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

Appendix

Appendix

See Figs.

Fig. 9
figure 9

DVA and FVA by Bangladesh

9,

Fig. 10
figure 10

DVA and FVA by Sri lanka

10,

Fig. 11
figure 11

DVA and FVA by Nepal

11, and

Fig. 12
figure 12

DVA and FVA by Bhutan

12.

See Tables

Table 14 List of countries included in sample

14,

Table 15 The results of panel unit root test

15.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nawaz, A., Rahman, M.M. Global value chains participation and environmental degradation in SAARC economies. Environ Dev Sustain 26, 15595–15617 (2024). https://doi.org/10.1007/s10668-023-03265-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-023-03265-2

Keywords

JEL Classification

Navigation