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This paper introduces a Malmquist CO2 emission performance index (MCPI) for measuring changes in total factor carbon emission performance over time. The MCPI is derived by solving several data envelopment analysis models. Bootstrapping MCPI is proposed to perform statistical inferences on the...
Persistent link: https://www.econbiz.de/10008483066
Energy-related CO2 emissions embodied in international trade have been widely studied by researchers using the input-output analysis framework. These studies are often conducted at a specific level of sector aggregation and the choice made to a large extent is dictated by economic and energy...
Persistent link: https://www.econbiz.de/10008483067
We present a production-theoretical approach to decomposing the change of aggregate CO2 emissions over time using the Shephard input distance functions and the environmental data envelopment analysis (DEA) technology in production theory. Application of the proposed approach requires only some...
Persistent link: https://www.econbiz.de/10005052605
This paper presents a non-radial directional distance function approach to modeling energy and CO2emission performance in electricity generation from the production efficiency point of view. We first define and construct the environmental production technologies for the countries with and...
Persistent link: https://www.econbiz.de/10010597623
This paper proposes a parametric frontier approach to estimating economy-wide energy efficiency performance from a production efficiency point of view. It uses the Shephard energy distance function to define an energy efficiency index and adopts the stochastic frontier analysis technique to...
Persistent link: https://www.econbiz.de/10010571915
We present five performance indicators for electricity generation for 129 countries using the 2005 data. These indicators, measured at the national level, are the aggregate CO2 intensity of electricity production, the efficiencies of coal, oil and gas generation and the share of electricity...
Persistent link: https://www.econbiz.de/10008914478