Research on the Relationship between Logistics Industry Energy Consumption and Economic Development in Shanghai

Abstract

Logistics industry is an important part of the national economy, but also is of the large industries for energy consumption. This study analyzes the relationship between economic output and logistics' energy consumption in Shanghai during the period 1998 to 2012. The results show that the regression equation is similar with environmental Kuznets curve, showing an inverted U-shaped curve. The results show that the regression equation is similar with environmental Kuznets curve, showing an inverted U-shaped curve. The process of relationship between economic developments of the logistics industry energy consumption indicates from worsening to improvement. Energy consumption in Logistics industry will be reduced as the economy consumption incensement. However, it must pay attention to control the rapid growth in energy consumption and achieve the development mode of low growth rate in energy consumption. Global warming caused by greenhouse effect has become the focus for all countries. The International Energy Agency has listed as one of the leading carbon dioxide emitters and the Chinese government attaches great importance and promises to the world China carbon dioxide emissions per unit of GDP in2020 decrease by 40% -45% compared to that in 2005. Shanghai is China's economic centre and the logistics industry is an important part of the national economy. It will be of great realistic significance in the establishment of an international economic, financial, trade and shipping centre. The energy consumption of logistics industry is obvious, therefore analysis of the trend of energy consumption of logistics industry in Shanghai as well as the relationship between energy consumption and economic growth in the city, will help policymaker's choices in order to achieve a low-carbon economy. This paper established theoretically regression equations of the relationship between logistics industry energy consumption and economic activity of Shanghai, which similar to the concept of environmental economics curve (EKC) (1) in order to supply the theoretic proof for the energy conservation and reduction of pollutant emissions. The paper is organized as follows. In the next section, we propose the relationship regression model. In Section 3, empirical analysis is presented and the regression analysis is made to illustrate the relationship between the economic activity and logistic energy consumption. Finally, we conclude the paper in section 4.