Abstract
In this paper, the data envelopment analysis (DEA) method is introduced to analyze the input–output efficiency of energy consumption and economic indicators in Beijing city under the influence of short-term climatic factors. Total energy consumption, fixed asset investment, average temperature, precipitation, sunshine hours, average wind velocity and the average pressure being employed as the input variables, gross domestic product (GDP) and per capita disposable income being employed as the output variables, effective technology and the validity of the scale of DEA of 31 decision-making units (DMUs) under the influence of the short-term climatic factors are analyzed, and the inefficient DMUs are improved. Empirical analysis shows that both energy consumption and economic growth are sensitive to short-term climate condition, and the reasonable employing of extreme climatic conditions is a question worthy of consideration. This study provides effective basis for the scientific and reasonable arrangement of Beijing city’s short-term climatic resources and energy–economic development.
Highlights
At the beginning of the twenty first century, the economy of Beijing city is in a high-speed development stage, and the energy consumption of Beijing city is rising year by year
Total energy consumption, fixed asset investment, average temperature, precipitation, sunshine hours, average wind velocity and the average pressure being employed as the input variables, gross domestic product (GDP) and per capita disposable income being employed as the output variables, effective technology and the validity of the scale of data envelopment analysis (DEA) of 31 decision-making units (DMUs) under the influence of the short-term climatic factors are analyzed, and the inefficient DMUs are improved
Through the improvement of the DMUs with inefficient DEA, we find that if we were fully aware that energy consumption and economic development of Beijing city are sensitive to short-term weather conditions and take corresponding energy-saving measures, energy–economic development of Beijing city would achieve a benign development
Summary
At the beginning of the twenty first century, the economy of Beijing city is in a high-speed development stage, and the energy consumption of Beijing city is rising year by year. The above research methods have two problems: One is energy efficiency options need to be selected by human judgment, which results in the research indicator affected by uncertainty human factor; other is all data of option indicators need hypothetical test, which increases the calculation difficulty When it is concerned with the efficient assessment of input–output conditions in China’s energy consumption and economic development, data envelopment analysis (DEA) can be better to avoid the two previous problems. DEA method has many advantages on assessing the input–output conditions in China’s energy consumption and economic development It can quantitatively calculate and compare relative efficiency with the different decision-making units (DMUs), and without regard to hypothetical test the indicators of DMU. This paper attempts to adopt the DEA method to analyze input and output condition of energy consumption and economic indicators in Beijing under the influence on short-term climatic factors. This indicates that if we change the input of xij for some i 2 f1; 2; . . .; mg, j 2 f1; 2; . . .; ng by the same proportion, the output yrj for some r 2 f1; 2; . . .; sg, j 2 f1; 2; . . .; ng changes less than in proportion
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