China's energy statistics in a global context: A methodology to develop regional energy balances for East, Central and West China
Reliable, timely and accurate economic and energy data are critical to carry out analysis of energy system changes. An energy balance, characterizing fuels/commodities used in energy supply, transformation and sectoral end uses is an essential tool to calibrate energy system models used for research and policy analysis. An improved understanding of the quality and reliability of Chinese economic and energy data is becoming more important to to understanding global energy markets and future greenhouse gas emissions. China's national statistical system to track such changes is however still developing and, in some instances, energy data remain unavailable in the public domain. This working paper discusses China's energy and economic statistics in view of identifying suitable indicators to develop a simplified regional energy systems for China from a variety of publicly available data. As China's national statistical system continuous to be debated and criticised in terms of data quality, comparability and reliability, an overview of the milestones, status and main issues of China's energy statistics is given. In a next step, the energy balance format of the International Energy Agency is used as an international benchmark to analyze China's national energy statistics in detail and identify indicators to establish regional energy balances inside China. Although this methodology includes a range of data uncertainties, it is intended to stimulate the discussion about current and future regional energy system developments in China in a broader global context. More international comparable and transparent research is needed to better understand and assess China’s progress toward meeting energy supply security targets and emission reduction goals, both at a regional, national and global level.
|Date of creation:||30 Sep 2013|
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- Sinton, Jonathan E., 2001. "Accuracy and reliability of China's energy statistics," China Economic Review, Elsevier, vol. 12(4), pages 373-383.
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