Does agricultural value added induce environmental degradation? Empirical evidence from an agrarian country.

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ID: 50742
2019
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Ranked #171 of 403 articles by views in Environmental science and pollution research international

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Abstract
This study empirically investigates the agriculture-induced environmental Kuznets curve (EKC) hypothesis in an agrarian framework. Annual time series data from 1981-2014 was employed using augmented Dickey-Fuller and the Phillips-Perron (PP) unit root test complemented by the Zivot and Andrews unit root that accounts for a single structural break to ascertain stationarity properties of variables under consideration. For the cointegration analysis, an autoregressive distributive lag methodology and the recent novel Bayer and Hanck combined cointegration technique are employed. For the direction of causality, the Granger causality test is used as estimation technique. Empirical findings lend support for the long-run equilibrium relationship among the variables under consideration. This study also validates the inverted U-shaped pattern of EKC for the case of Nigeria, affirming that Nigeria remains at the scale-effect stage of its growth trajectory. Further empirical results show that foreign direct investment attraction helps mitigate carbon emissions in Nigeria. Based on these results, several policy prescriptions on the Nigeria energy mix and agricultural operations in response to quality of the environment were suggested for policymakers, stakeholders, and environmental economists that formulate and design environmental regulations and strategies to realise the goal 7 of sustainable development (SDG).
Reference Key
agboola2019doesenvironmental Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Agboola, Mary Oluwatoyin;Bekun, Festus Victor;
Journal Environmental science and pollution research international
Year 2019
DOI
10.1007/s11356-019-05943-z
URL
Keywords
energy consumption Nigeria ekc agriculture ecosystem granger causality

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