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博彩与旅游中心的电力消费与经济增长之间的因果关系:以中华人民共和国澳门特别行政区为例。

The causal relationship between electricity consumption and economic growth in a Gaming and Tourism Center: The case of Macao SAR, the People's Republic of China.

作者信息

Lai T M, To W M, Lo W C, Choy Y S, Lam K H

机构信息

School of Business, Macao Polytechnic Institute, Rue de Luis Gonzaga Gomes, Macao SAR, People's Republic of China.

Department of Electrical Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, People's Republic of China.

出版信息

Energy (Oxf). 2011 Feb;36(2):1134-1142. doi: 10.1016/j.energy.2010.11.036. Epub 2010 Dec 31.

Abstract

A number of Asian cities decided to establish gaming and resort facilities in order to capitalize on the growing number of gamblers and their family members in Asia. In doing so, they expect to sustain economic growth but, on the other hand, will consume a considerable amount of energy. Nevertheless, the causal relationship between economic growth and electricity consumption in this type of service-oriented territories has never been investigated. Using the historical data obtained from the Government of Macao SAR, we found that electricity consumption and economic growth in terms of gross domestic product are co-integrated for the period of 1999 Quarter 1-2008 Quarter 4. Moreover, vector error correction () models indicated a lack of short-run relationships but showed that there was a long-run equilibrium relationship between electricity consumption and gross domestic product. The accuracy of models was assessed by using the mean squared error and the mean absolute error. The error analysis shows that models reproduced time series of gross domestic product and electricity consumption in difference form accurately.

摘要

一些亚洲城市决定设立博彩和度假设施,以便利用亚洲地区不断增加的赌客及其家庭成员。这样做,他们期望维持经济增长,但另一方面,这将消耗大量能源。然而,在这类以服务业为主的地区,经济增长与电力消费之间的因果关系从未得到过研究。利用从澳门特别行政区政府获得的历史数据,我们发现,在1999年第一季度至2008年第四季度期间,电力消费与以国内生产总值衡量的经济增长是协整的。此外,向量误差修正()模型表明不存在短期关系,但显示电力消费与国内生产总值之间存在长期均衡关系。通过使用均方误差和平均绝对误差来评估模型的准确性。误差分析表明,模型准确地再现了以差分形式表示的国内生产总值和电力消费的时间序列。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d09/7125689/e4b908381fc6/gr1.jpg

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