| Srl | Item |
| 1 |
ID:
111437
|
|
|
|
|
| Publication |
2012.
|
| Summary/Abstract |
In order to prevent the destabilisation of the Earth's biosphere, CO2 emissions must be reduced quickly and significantly. The causes of CO2 emissions by individual countries need to be apprehended in order to understand the processes required for reducing emissions around the globe. China and India are the two largest transitional countries and growing economies, but are in two entirely different categories in terms of structural changes in growth, trade and energy use. CO2 emissions from the burning of fossil fuels have significantly increased in the recent past. This paper compares China and India using the bounds testing approach to cointegration and the ARDL methodology to test the long- and short-run relationships between growth, trade, energy use and endogenously determined structural breaks. The CO2 emissions in China were influenced by per capita income, structural changes and energy consumption. A similar causal connection cannot be established for India with regard to structural changes and CO2 emissions, because India's informal economy is much larger than China's. India possesses an extraordinarily large number of micro-enterprises that are low energy consumers and not competitive enough to reach international markets. Understanding these contrasting scenarios is prerequisite to reaching an international agreement on climate change affecting these two countries.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
ID:
110734
|
|
|
|
|
| Publication |
2011.
|
| Summary/Abstract |
This paper analyzes the relationship between economic growth and energy consumption for a sample of 21 Latin American and Caribbean countries during the 1970-2007 period. The investigation is made on the bases of the Energy Environmental Kuznets Curve (EEKC) hypothesis, using a panel data analysis. Energy consumption at aggregate level is used as an indicator of human environmental pressure and GDP per capita as an indicator of economic activity. Based in a cointegration approach, our results does not support the existence of a stable long run relationship between the series, rejecting the validity of such hypothesis for the selected sample over the 1970-2007 period.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|