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  • 标题:The Effect of Gross Domestic Product and Population Growth on CO2 Emissions in Indonesia: An Application of the Ant Colony Optimisation Algorithm and Cobb-Douglas Model
  • 本地全文:下载
  • 作者:Sukono Sukono ; Wahyuddin Albra ; T. Zulham
  • 期刊名称:International Journal of Energy Economics and Policy
  • 电子版ISSN:2146-4553
  • 出版年度:2019
  • 卷号:9
  • 期号:4
  • 页码:313-319
  • DOI:10.32479/ijeep.8011
  • 出版社:EconJournals
  • 摘要:Gross domestic product (GDP) is one indicator for measuring a country’s economic growth. However, the increase in GDP and population growth are affecting CO2 emissions. This study analyses the effects of GDP and population density on CO2 emissions in Indonesia. To this end, it used the CobbDouglas model, and parameter estimation using Ant Colony Optimisation algorithm. The analysis of the results reveals that GDP and population density influence CO2 emissions in Indonesia significantly, and significantly follows the Cobb-Douglas model with increasing return to scale characteristics. Thus, an increase in GDP and population density will lead to increased CO2 emissions in Indonesia.
  • 关键词:Economic Growth; Gross Domestic Product; Population Growth; CO2 Emission; Ant Colony Optimisation Algorithm; Cobb-Douglas Model
  • 其他关键词:Economic Growth; Gross Domestic Product; Population Growth; CO 2 Emission; Ant Colony Optimisation Algorithm; Cobb-Douglas model
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