ArticleEnvironmental science and pollution research international2016
Multivariate co-integration analysis of the Kaya factors in Ghana.
Article in Environmental science and pollution research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Long-run equilibrium relationship between energy consumption and COEnvironmental science and pollution research international · 2022Article
- Energy insecurity, pollution mitigation, and renewable energy integration: prospective of wind energy in Ghana.Environmental science and pollution research international · 2020Article
- The invisible hand and EKC hypothesis: what are the drivers of environmental degradation and pollution in Africa?Environmental science and pollution research international · 2018Article
- The impact of energy, agriculture, macroeconomic and human-induced indicators on environmental pollution: evidence from Ghana.Environmental science and pollution research international · 2017Article
- The causal nexus between carbon dioxide emissions and agricultural ecosystem-an econometric approach.Environmental science and pollution research international · 2017Article
- Carbon dioxide emissions, GDP, energy use, and population growth: a multivariate and causality analysis for Ghana, 1971-2013.Environmental science and pollution research international · 2016Article
- The relationship between carbon dioxide and agriculture in Ghana: a comparison of VECM and ARDL model.Environmental science and pollution research international · 2016Article
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2 authors.
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Abstract
The fundamental goal of the Government of Ghana's development agenda as enshrined in the Growth and Poverty Reduction Strategy to grow the economy to a middle income status of US$1000 per capita by the end of 2015 could be met by increasing the labour force, increasing energy supplies and expanding the energy infrastructure in order to achieve the sustainable development targets. In this study, a multivariate co-integration analysis of the Kaya factors namely carbon dioxide, total primary energy consumption, population and GDP was investigated in Ghana using vector error correction model with data spanning from 1980 to 2012. Our research results show an existence of long-run causality running from population, GDP and total primary energy consumption to carbon dioxide emissions. However, there is evidence of short-run causality running from population to carbon dioxide emissions. There was a bi-directional causality running from carbon dioxide emissions to energy consumption and vice versa. In other words, decreasing the primary energy consumption in Ghana will directly reduce carbon dioxide emissions. In addition, a bi-directional causality running from GDP to energy consumption and vice versa exists in the multivariate model. It is plausible that access to energy has a relationship with increasing economic growth and productivity in Ghana.
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