Revision on China’s energy data by sector and fuel type at provincial level

Hua Liao; Ce Wang; Yanan Liu; Yixuan Gao; Fangzhi Wang

doi:10.1007/s12053-018-9690-0

Revision on China’s energy data by sector and fuel type at provincial level

Hua Liao^*, Ce Wang, Yanan Liu, Yixuan Gao, Fangzhi Wang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

More and more literature are investigating the energy efficiency performance at provincial level. However, there are many problems in provincial energy balances in the officially released yearbooks, such as inconsistencies of statistical scope, the large gap between national data and sum of provincial data, and nontransparent data revision. Using yearbook data directly may result in errors and even some contradictory-to-actuality conclusions. Given this, based on the national economic census, this paper systematically revises and adjusts the 1995–2014 energy balances at province level. A four-dimension (province, year, sector, and energy type) energy dataset is constructed, which supports the structural energy efficiency research at provincial level.

Original language	English
Pages (from-to)	849-861
Number of pages	13
Journal	Energy Efficiency
Volume	12
Issue number	4
DOIs	https://doi.org/10.1007/s12053-018-9690-0
Publication status	Published - 2 Apr 2019

Keywords

China
Data revision
Energy balance
Province

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s12053-018-9690-0

Cite this

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title = "Revision on China{\textquoteright}s energy data by sector and fuel type at provincial level",

abstract = "More and more literature are investigating the energy efficiency performance at provincial level. However, there are many problems in provincial energy balances in the officially released yearbooks, such as inconsistencies of statistical scope, the large gap between national data and sum of provincial data, and nontransparent data revision. Using yearbook data directly may result in errors and even some contradictory-to-actuality conclusions. Given this, based on the national economic census, this paper systematically revises and adjusts the 1995–2014 energy balances at province level. A four-dimension (province, year, sector, and energy type) energy dataset is constructed, which supports the structural energy efficiency research at provincial level.",

keywords = "China, Data revision, Energy balance, Province",

author = "Hua Liao and Ce Wang and Yanan Liu and Yixuan Gao and Fangzhi Wang",

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T1 - Revision on China’s energy data by sector and fuel type at provincial level

AU - Liao, Hua

AU - Wang, Ce

AU - Liu, Yanan

AU - Gao, Yixuan

AU - Wang, Fangzhi

PY - 2019/4/2

Y1 - 2019/4/2

N2 - More and more literature are investigating the energy efficiency performance at provincial level. However, there are many problems in provincial energy balances in the officially released yearbooks, such as inconsistencies of statistical scope, the large gap between national data and sum of provincial data, and nontransparent data revision. Using yearbook data directly may result in errors and even some contradictory-to-actuality conclusions. Given this, based on the national economic census, this paper systematically revises and adjusts the 1995–2014 energy balances at province level. A four-dimension (province, year, sector, and energy type) energy dataset is constructed, which supports the structural energy efficiency research at provincial level.

AB - More and more literature are investigating the energy efficiency performance at provincial level. However, there are many problems in provincial energy balances in the officially released yearbooks, such as inconsistencies of statistical scope, the large gap between national data and sum of provincial data, and nontransparent data revision. Using yearbook data directly may result in errors and even some contradictory-to-actuality conclusions. Given this, based on the national economic census, this paper systematically revises and adjusts the 1995–2014 energy balances at province level. A four-dimension (province, year, sector, and energy type) energy dataset is constructed, which supports the structural energy efficiency research at provincial level.

KW - China

KW - Data revision

KW - Energy balance

KW - Province

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DO - 10.1007/s12053-018-9690-0

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SN - 1570-646X

VL - 12

SP - 849

EP - 861

JO - Energy Efficiency

JF - Energy Efficiency

IS - 4

ER -

Revision on China’s energy data by sector and fuel type at provincial level

Abstract

Keywords

UN SDGs

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