We present an alternative decomposition technique to identify the factors which contribute to the change of aggregate CO2 emissions by using distance functions to model the joint production of desirable and undesirable outputs. The key feature of the proposed approach is the introduction of...

The theories of ecological modernization and urban environmental transition both recognize that urbanization can have positive and negative impacts on the natural environment with the net effect being hard to determine a priori. This study uses recently developed panel regression techniques that...

This study proposes an econometric analysis of household fuelwood demand in France. The choice concerning the energy used for heating is modeled, stressing the combination between one type of energy used as a main source and another one used as a back-up. This endogenous decision has an impact...

As global concern about climate change increases, the need to control and mitigate greenhouse gas emissions is likely to emerge as a worldwide policy agenda. We determined world-wide carbon dioxide (CO2) emission trends and six underlying forces driving emissions from the industry sector with...

We decompose the contribution of five drivers of energy use and CO2 emissions reductions in achieving climate change goals over 2005–2100 for various climate policy scenarios. This study contributes to the decomposition literature in three ways. First, it disaggregates drivers of energy demand...

This paper uses new and unique data derived from a consistent framework of national accounts to compute and evaluate energy intensity developments across 18 OECD countries and 50 sectors over the period 1970–2005. We find that across countries energy intensity levels tend to decrease in most...

Energy intensity has gone through different stages across Chinese regions. In this paper, we investigate the stochastic electricity-intensity convergence across the Chinese provinces. Unlike previous work, this paper highlights the relevance of the level of technology of each province and takes...

This paper provides a comprehensive nonlinear analysis of asymmetric adjustment of the dynamic relationship between energy intensity and urbanization using the time series data of 1978–2010 in China at both the national and the macro regional levels. Two sets of unit root tests are applied...

The main objective of this paper is to investigate whether openness and investment ownership are key factors in explaining the diffusion of energy-saving technologies in China. Compared with previous studies, the novel aspect of this work is the use of a rich dataset at provincial level, which...

This study analyzes energy intensity trends and drivers in 40 major economies using the WIOD database, a novel harmonized and consistent dataset of input–output table time series accompanied by environmental satellite data. We use logarithmic mean Divisia index decomposition to (1) attribute...