The energy intensity of transition countries

By Jan Cornillie, Sam Fankhauser. 2004

250 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/b54ef6706f9854e42bd02b02b6abfa77ba954ab2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Qunwei Wang
2. Dequn Zhou
3. Peng Zhou
4. Zengyao Zhao
5. Kuishuang Feng
6. Jānis Brizga
7. P. K. Adom
8. Klaus Hubacek

In Renewable Energy, Sustainability and the Environment

1. Kuishuang Feng
2. P. K. Adom
3. Dequn Zhou
4. Peng Zhou
5. Klaus Hubacek
6. Zengyao Zhao
7. P. Kwakwa
8. Qunwei Wang

Citations in the corpus

• Effects of changing trade structure and technical characteristics of the manufacturing sector on energy intensity in Ghana (2014, background): “For instance, Cornillie and Fankhanser [37] found that energy prices and progress in enterprise restructuring are the two most important drivers for efficient energy use in 22 transition countries.”
• Structural Change and Convergence of Energy Intensity across OECD Countries, 1970-2005 (2012, unknown): “…of an ‘advantage of backwardness’ (Gerschenkron 1952, Abramovitz 1986): the transformation towards relatively energy-intensive structures in the communistic era apparently carries a potential for rapid advance in the period thereafter (cf. Cornillie and Fankhauser 2004, Markandya et al. 2006).”
• Determinants of energy efficiency and energy consumption of Eastern Europe post-communist economies (2017, result): “Such a conclusion is consistent with results of other studies.(11,12,15) An increase in industry value added levels for the post-communist countries by 1% decreases energy efficiency by 0.”
• Drivers of CO2 emissions in the former Soviet Union: A country level IPAT analysis from 1990 to 2010 (2013, methodology): “There are several studies looking at socio-economic changes in former Soviet republics after the collapse of the Soviet Union [4-9] as well as studies analyzing changes in energy consumption and intensity, GHG emissions and environmental pressures [10-20]; only some of which used decomposition analy”
• Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach (2013, background): “Owing to the features of simple calculation and intelligibility, during international comparison of energy efficiency and energysaving task allocation, most countries and regions take the index of energy intensity as the basis (Cornillie and Fankhauser, 2004; Liddle, 2010).”