CO2 emissions and development indicators: a causality analysis for Bangladesh
Article
Article Title | CO2 emissions and development indicators: a causality analysis for Bangladesh |
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Article Category | Article |
Authors | Kashem, Mohammad Abul (Author) and Rahman, Mohammad Mafizur (Author) |
Journal Title | Environmental Processes |
Journal Citation | 6 (2), pp. 433-455 |
Number of Pages | 23 |
Year | 2019 |
Publisher | Springer |
Place of Publication | Germany |
ISSN | 2198-7491 |
2198-7505 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s40710-019-00365-y |
Web Address (URL) | https://link.springer.com/article/10.1007/s40710-019-00365-y |
Abstract | This paper aims to check the dynamic linkages between CO2 emissions and development indicators (per capita Gross Domestic Product (GDP), population density, and urbanisation) of Bangladesh. Using annual data in IPAT model for the period of 1972–2015, we have applied Johansen co-integration and Granger causality tests to examine the long-run co-integration and short-run dynamics of the concerned variables. The obtained results reveal that there is bidirectional causality between CO2 emissions and urbanisation, and CO2 emissions and GDP per capita for the study period in Bangladesh. This implies that GDP growth and urbanisation process are the major sources of CO2 emissions in the country. Therefore, policy makers should take extreme care in designing and implementing the environmental protection policies to curb CO2 emissions with a desired level of economic growth and urbanization. |
Keywords | environment; CO2 emissions; gross domestic product; urbanisation; causality testBangladesh |
ANZSRC Field of Research 2020 | 380105. Environment and resource economics |
440499. Development studies not elsewhere classified | |
380205. Time-series analysis | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Bangladesh Bank, Bangladesh |
School of Commerce | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5588/co2-emissions-and-development-indicators-a-causality-analysis-for-bangladesh
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