Phiri, Andrew (2019): Economic growth, Environmental degradation and business cycles in Eswatini.
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Abstract
This study investigates the impact of the business cycle on the Environmental Kuznets Curve (EKC) for the Eswatini Kingdom over the period 1970 – 2014. To this end, we employ the nonlinear autoregressive distributive lag (NARDL) model to capture the long-run and short-run cointegration effects between economic activity and greenhouse gas (GHG) emissions over different phases of the business cycle. Our findings reveal that economic activity only degrades the environment during upswing of the economic cycle whilst this relationship is insignificant during downswing of the cycle. We specifically compute a value of $3.57 worth of output been gained at the cost of a metric unit of emissions during economic expansionary phases. Altogether, these results insinuate much needed government intervention in the market for emissions via environmental tax reforms (ETR) which should be designed with countercyclical bias towards upswing the business cycle.
Item Type: | MPRA Paper |
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Original Title: | Economic growth, Environmental degradation and business cycles in Eswatini |
Language: | English |
Keywords: | Economic growth; Greenhouse gas (GHG) emissions; Environmental Kuznets Curve; Business cycles; Nonlinear autoregressive distributive lag (NARDL) model; Eswatini; Sub-Saharan Africa (SSA). |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q56 - Environment and Development ; Environment and Trade ; Sustainability ; Environmental Accounts and Accounting ; Environmental Equity ; Population Growth |
Item ID: | 94993 |
Depositing User: | Dr. Andrew Phiri |
Date Deposited: | 11 Jul 2019 15:56 |
Last Modified: | 08 Oct 2019 07:52 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/94993 |