A literature survey on energy–growth nexus

https://isiarticles.com/bundles/Article/pre/pdf/11019.pdf

Energy consumption, carbon emissions, and economic growth in China

relationship. All subsequent studies confirmed it (see for example King and Levine, 1993, and the review in: Pagano, 1993). Goldsmith used a sample of 35 countries for the period between 1860 and 1963 to show the relationship between income and financial depth measured by the ratio between bank's assets and GDP. He also showed that in periods of rapid growth, financial depth grows faster than income. More details about measuring financial depth can be found in this paper. FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH Velimir Šonje

/pdf/financial-development-and-economic-growth-1933kuo17q.pdf

Financial development and economic growth

Energy consumption and economic growth in Central America: Evidence from a panel cointegration and error correction model

Investigating the environmental Kuznets curve hypothesis in Vietnam

This paper uses the panel data of energy consumption and GDP for 82 countries from 1972 to 2002. Based on the income levels defined by the World Bank, the data are divided into four categories: low income group, lower middle income group, upper middle income group, and high income group. We employ the GMM-SYS approach for the estimation of the panel VAR model in each of the four groups. Afterwards, the causal relationship between energy consumption and economic growth is tested and ascertained. We discover: (a) in the low income group, there exists no causal relationship between energy consumption and economic growth; (b) in the middle income groups (lower and upper middle income groups), economic growth leads energy consumption positively; (c) in the high income group countries, economic growth leads energy consumption negatively. After further in-depth analysis of energy related data, the results indicate that, in the high income group, there is a great environmental improvement as a result of more efficient energy use and reduction in the release of CO2. However, in the upper middle income group countries, after the energy crisis, the energy efficiency declines and the release of CO2 rises. Since there is no evidence indicating that energy consumption leads economic growth in any of the four income groups, a stronger energy conservation policy should be pursued in all countries.

Causal Relationship between Energy Consumption and GDP Growth Revisited: A Dynamic Panel Data Approach

Causal relationship between energy consumption and GDP growth revisited: A dynamic panel data approach

An analysis of factors affecting price volatility of the US oil market

This paper estimates the demand for cigarettes using panel data - 42 states and Washington, D.C. - from 1961 to 2002. We first employ the panel unit root test before estimating the demand structure. We have found that (i) the price and income elasticities are approximately -0.41 and 0.06, (ii) the price elasticities of neighboring states is 0.09, (iii) decreasing tax elasticity gives rise to decreasing price elasticity, and smaller tax shares (real tax as percentage of real price) seem to be related to declining tax elasticity, (iv) overall antismoking campaigns have contributed to declining income elasticities across different income groups, and (v) the decline in income elasticity for dividend and transfer income recipients is the main cause for the decrease in overall income elasticity. It has interesting implications: cigarette consumption is a normal good to wage earners and transfer payment recipients, but an inferior good to the owners of stocks and the elderly population.

/pdf/new-evidence-on-demand-for-cigarettes-a-panel-data-approach-la7b717qdg.pdf

Ming-Jeng Hwang

Papers

Causal Relationship between Energy Consumption and GDP Growth Revisited: A Dynamic Panel Data Approach

Causal relationship between energy consumption and GDP growth revisited: A dynamic panel data approach

An analysis of factors affecting price volatility of the US oil market

New Evidence on Demand for Cigarettes: A Panel Data Approach