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      Institutional quality, employment, FDI and environmental degradation in developing countries: evidence from the balanced panel GMM estimator

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      International Journal of Emerging Markets
      Emerald

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          Abstract

          Purpose

          The main purpose of this research is to examine the impact of institutional quality and sectoral employment on environmental degradation in developing countries. This paper also re-examined the validity of the Environmental Kuznets Curve (EKC) hypothesis and estimated the long run impact of explanatory variables on CO 2 emissions.

          Design/methodology/approach

          In this paper, the balanced panel data for the period 2002–2016 was used based on data availability and applied two-step SYS-GMM estimators.

          Findings

          The results showed that institutional quality such as government effectiveness (GE) and the rule of law (RL) reduce CO 2 emissions and promote environmental quality in developing countries. Interestingly, the authors found new evidence that employment in agriculture and industry has a positive impact on pollution, while employment in the service sector was negatively associated with CO 2 emissions, and the validity of the EKC hypothesis was confirmed. In addition, the research suggests that strong institutional frameworks and their effective implementation are the most important panacea and should be treated as a top priority to counteract environmental degradation and achieve the UN Sustainable Development Goals.

          Originality/value

          This is the first study to examine the short run and long run effects of institutional quality and sectoral employment on environmental degradation using the balanced panel data for a large sample of developing countries. This paper also used a special technique of Driscoll and Kraay standard error approach to confirm the robustness results and showed the different roles of sectoral employment on environmental quality.

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          Most cited references68

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          Initial conditions and moment restrictions in dynamic panel data models

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            Another look at the instrumental variable estimation of error-components models

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              Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                International Journal of Emerging Markets
                IJOEM
                Emerald
                1746-8809
                October 24 2022
                October 24 2022
                Article
                10.1108/IJOEM-10-2021-1583
                e2819d79-f404-490a-b5dd-2bb5a004d05d
                © 2022

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