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Voluntary disclosure of greenhouse gas emissions by cities under carbon disclosure project: A sustainable development approach

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  • Fuzhong Chen
  • Muzzammil Hussain
  • Jawad Ahmad Khan
  • Ghulam Mustafa Mir
  • Zeeshan Khan

Abstract

Today's world is facing a serious challenge of high carbon emissions. A large number of studies are examining the deteriorating impact of carbon emissions at the country or firm level, but the literature on the voluntary carbon disclosure project (CDP) by cities is not rich. Therefore, this study seeks to examine the effect of the population (Pop) and gross domestic product (GDP) on carbon emissions of cities by using data of CDP. The dataset refers to a set of numerous cities from around the world, spanning the period from 2012 to 2016. Random effects panel regression and generalized method of moments (GMM), and quantile regressions techniques have been employed to empirically investigate the discussed relationship and to control the potential endogeneity issues, respectively. According to the results, population and GDP are substantial predictors of carbon emissions in sampled cities. Findings show that not only factories contribute to increasing carbon emissions rate, but cities are equally responsible for these emissions as they put no checks on their economic growth and population. The findings are also robust for policy implications.

Suggested Citation

  • Fuzhong Chen & Muzzammil Hussain & Jawad Ahmad Khan & Ghulam Mustafa Mir & Zeeshan Khan, 2021. "Voluntary disclosure of greenhouse gas emissions by cities under carbon disclosure project: A sustainable development approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 719-727, July.
    • Handle: RePEc:wly:sustdv:v:29:y:2021:i:4:p:719-727
    DOI: 10.1002/sd.2169
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    Cited by:

    1. Meilani Devi Utami, 2022. "Factors influencing the carbon emissions disclosure in basic and chemical industrial companies listed on the IDX in 2016-2019," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(9), pages 193-204, December.
    2. Fanlue Li & Ke He & Run Zhu & Junbiao Zhang & Ming Gao, 2023. "Rural low‐carbon energy development in the information age: Can internet access drive the farmer to participate in personal carbon trading schemes related to bioenergy?," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1417-1432, June.
    3. Ece Acar & Görkem Sarıyer & Vipul Jain & Bharti Ramtiyal, 2023. "Discovering Hidden Associations among Environmental Disclosure Themes Using Data Mining Approaches," Sustainability, MDPI, vol. 15(14), pages 1-14, July.

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