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2012 | OriginalPaper | Buchkapitel

5. Data Description

verfasst von : Hengyun Ma, Les Oxley

Erschienen in: China’s Energy Economy

Verlag: Springer Berlin Heidelberg

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Abstract

This chapter is organized as follows: Section 5.1 discusses why the particular data used in empirical research matter when studying China’s energy economy. Sections 5.2, 5.3, 5.4 and 5.5 introduces the data sets used in this study and variable construction in the following order: energy prices, energy consumption, factor inputs, output and deflator. Section 5.6 presents cost series construction for total factor cost series (including capital, labour and aggregate energy) and total energy cost series (including coal, electricity, gasoline and diesel). In addition, descriptive statistics, including min, max, mean and standard deviation, are provided for each data set and panels.

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Fußnoten
1
The cities are Beijing, Tianjin, Shijiazhuang, Taiyuan, Hohhot, Shenyang, Changchun, Harbin, Shanghai, Nanjing, Hangzhou, Hefei, Fuzhou, Nanchang, Jinan, Zhengzhou, Wuhan, Changsha, Guangzhou, Nanning, Haikou, Chongqing, Chengdu, Guiyang, Kunming, Lhasa, Xi’an, Lanzhou, Xining, Yinchuan, Urumqi, Qingdao, Dalian, Xiamen and Ningbo. They include four municipalities, all the capital cities for the 31 provinces and autonomous regions and other four major cities in mainland China.
 
2
The price data are collected to provide price information to the central and local governments for macroeconomic management. According to state law, the local price bureaus are obligated to report price information for a specified list of products to the Price Monitoring Centre. The price information must be collected from fixed local markets. The fuel price information is collected three times a month, on the 5th, the 15th and the 25th day of the month. The fuel names are homogeneous across all cities, and all prices must be market prices.
 
Literatur
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Metadaten
Titel
Data Description
verfasst von
Hengyun Ma
Les Oxley
Copyright-Jahr
2012
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-25887-9_5