Economic Factorial Analysis of CO2 Emissions: The Divisia Index with Interconnected Factors Approach

نویسنده

  • Alexander Y. Vaninsky
چکیده

This paper presents a method of economic factorial analysis of the CO2 emissions based on the extension of the Divisia index to interconnected factors. This approach, contrary to the Kaya identity, considers three main factors of the CO2 emissions: gross domestic product, energy consumption, and population as equally important, and allows for accounting of all of them simultaneously. The three factors are included into analysis together with their carbon intensities that allows for obtaining a comprehensive picture of the change in the CO2 emissions. A computer program in R-language that is available for free download serves automation of the calculations. A case study of the U.S. carbon dioxide emissions is used as an example. Keywords—CO2 emissions, Economic analysis, Factorial analysis, Divisia index, Interconnected factors.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

تحلیل عوامل مؤثر بر تغییر انتشار دی‌اکسیدکربن بخش نیروگاهی ایران، 1378-1386

  The power sector in Iran accounts for a share of 28.2 percent of the total CO2 emissions, so it is the biggest emitter of greenhouse gases. This study uses Logarithmic Mean Divisia Index (LMDI) technique to examine the role of five factors (economic growth, fuel intensity, electricity intensity, structure and quality of fuel) influencing CO2 emissions of the Power Plant sector in the period 1...

متن کامل

Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China

Based on the logarithmic mean Divisia index (LMDI) approach, this paper presents a decomposition analysis of China’s energy-related industrial CO2 emissions from 1985 to 2007, as well as a comparative analysis of differential influences of various factors on six sectors. Via the decomposition, five categories of influencing factors are included: (1) Per capita GDP (PCG) was the largest positive...

متن کامل

Factor Decomposition Analysis of Energy-Related CO2 Emissions in Tianjin, China

Tianjin is the largest coastal city in northern China with rapid economic development and urbanization. Energy-related CO2 emissions from Tianjin’s production and household sectors during 1995–2012 were calculated according to the default carbon-emission coefficients provided by the Intergovernmental Panel on Climate Change. We decomposed the changes in CO2 emissions resulting from 12 causal fa...

متن کامل

Factors Affecting Transportation Sector CO2 Emissions Growth in China: An LMDI Decomposition Analysis

China has now become the largest country in carbon emissions all over the world. Furthermore, with transportation accounting for an increasing proportion of CO2 emissions year by year, the transportation sector has turned out to be one of the main sectors which possesses a high growth speed in CO2 emissions. To accurately analyze potentially influencing factors which accelerate the process of C...

متن کامل

Decomposition and Analysis of Driving Forces of GHG Emissions and Emission Reduction Potentials in Iran

Climate change cannot control unless by reduction of GHG emissions to secure level, therefore it is important to identify driving forces and possible scenarios based on targets. In this research, the Logarithmic Mean Divisia Index decomposition approach in combination with Extended Kaya Identity (EKI) are applied to investigate five factors could affect emissions during 1971-2012 in Iran. Thes...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013