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EN
South Africa is the largest emitter of CO2 and arguably the most developed and urbanised country in Africa. The country currently harbours an ecological deficit territory which could be the outcome of economic expansion, urban explosion, unsustainable resource exploration and a low level of human development. After all, environmental distortions are mainly the outcome of human activities. This study is a maiden attempt to examine the linkage between urbanisation, human capital, natural resources (NR) and the ecological footprint (EF) in South Africa. Unlike previous studies, this study employs positivist and relevant environmental indicators that accommodate built-up land, forest land, carbon footprint, ocean, grazing land and cropland. Findings from the long-run results suggest that urbanisation, economic growth and NR increase the EF, whereas human capital ensures environmental sustainability. The interaction between urbanisation and human capital mitigates environmental degradation by reducing the EF. The canonical cointegrating regression (CCR), dynamic ordinary least squares (DOLS) and the fully modified ordinary least squares (FMOLS) results further confirm the nature of the relationships and linkages existing with respect to NR, urbanisation, economic growth and the EF. A bidirectional causality exists between human capital, economic growth and the EF. Policies related to NR and urban sustainability, the limitations of the study, as well as possible directions for future research are discussed.
EN
The literature reveals that linear models do not accurately represent the asymmetric relationship between economic growth and energy consumption (EC). To fill this gap, we examined the asymmetric relationship between EC and economic growth in a non-linear panel autoregressive distributed lag (ARDL) framework of 85 countries as a whole sample and of Brazil, Russia, India, China, and South Africa (BRICS), the Next Eleven, Big Four in Western Europe, Asia-Pacific region, Group of Seven, South Asian Association for Regional Cooperation (SAARC), Economic Cooperation Organization (ECO) and the Arab League as a sub-sample analysis from 1977 to 2014. A second generational unit root test has been applied to check the problem of cross-sectional dependency. Asymmetric contegration was employed to analyse the co-integration between the variables of interest. Long-run and short-run estimates have been calculated using the non-linear panel ARDL method. Results indicate that positive shocks to energy use tend to have a growth-enhancing effect in ECO and the Next Eleven while in the rest of the regions, the effect is growth con- traction. Moreover, economic recovery from a positive shock to energy use is the case in the Arab League, Asia-Pacific region, Group of Seven and in the whole sample. However, a negative shock to EC is observed in the Group of Seven, Asia Pacific region, Big Four in Western Europe and ECO, and the whole sample worsens the economic contraction. We can deduct from this study’s results that information on the asymmetric relationship between the subject variables is needed to design sound economic policy decisions across different economic regions.
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