The drivers of energy-related CO2 emission changes in Indonesia: structural decomposition analysis

Author(s):  
Sasmita Hastri Hastuti ◽  
Djoni Hartono ◽  
Titi Muswati Putranti ◽  
Muhammad Handry Imansyah
Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2396 ◽  
Author(s):  
Ling Li ◽  
Ling Tang ◽  
Junrong Zhang

A coupled structural decomposition analysis (SDA) and sensitivity analysis approach is developed to explore the drivers of China’s CO2 emission intensity at both general and sectoral levels and from both ex-post and ex-ante perspectives. Two steps are involved—structural decomposition and sensitivity analysis. First, the popular factor decomposition method, SDA, is implemented to identify which drivers “have” made the largest contribution to emission intensity changes. Second, an emerging ex-ante approach, sensitivity analysis, is introduced to answer how and to what extent such drivers “will” influence future emission intensity at a sectoral level. Based on China’s input-output tables for 1997–2012, the empirical study provides a hotspot map of China’s energy system. (1) Direct-emission coefficient and technology coefficient are observed as the top two overall drivers. (2) For the former, reducing direct-emission coefficient in an emission-intensity sector (e.g., electricity and heat sectors) by 1% will mitigate China’s total emission intensity by at least 0.05%. (3) For the latter, future emission intensity is super-sensitive to direct transactions in emission-intensity sectors (particularly the chemical industry with elasticities up to 0.82%).


Atmosphere ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 597
Author(s):  
Young Yoon ◽  
Yoon-Kyung Kim ◽  
Jinsoo Kim

This study investigated the driving factors of embodied carbon emission changes in manufacturing trades through structural decomposition analysis. For empirical analysis, we developed an environmental multiregional input–output model for Korea, Japan, and China for 1995–2009. The three countries, which are economically and environmentally significant in Asia, are not only tightly linked economically through global value chains, but also close geographically, sharing various environmental issues. The results show that China is a net exporter of embodied carbon emissions to Japan and Korea, despite a substantial trade deficit. Its exports are more carbon-intensive than its imports from Japan and Korea. China’s embodied emissions were mainly affected by a change in carbon-intensive production and trade structure, and Japan’s and Korea’s were affected by China’s final demand. At the sectoral level, “Electrical and Optical Equipment”, “Basic Metals and Fabricated Metal”, and “Textiles and Textile Products” mainly affected the embodied carbon emission changes in these three countries. As a result, a considerable share of carbon-intensive production has shifted to China and increased consumption of China’s final products and services in the manufacturing industries, resulting in a significant increase in embodied carbon emissions. Additionally, our findings at the sectoral level could provide important evidence regarding the effective environmental policies that enable sustainable industries. With the increasing interest in the embodied carbon emissions, future research would pay more attention to the bilateral trades of major carbon-emitting countries and multilateral trades.


Author(s):  
Charles O. P. Marpaung ◽  
Ram M. Shresta

In this paper, a structural decomposition analysis based on an input-output framework has been developed to examine the factors, which affect the economy-wide CO2 emission changes due to the introduction of carbon tax in the Indonesian power sector during 2011-2030. There are three major components that affect the total economy-wide change in CO2 emissions, i.e., fuel mix-, structural-, and final demand- effects. The results show that, the CO2 mitigation under the carbon tax of US$200/tC would be 20.5 times higher than that with the carbon tax rate of US$5/tC.  The fuel mix effect is found to be most influential in reducing the CO2 emission during the planning horizon under all of the carbon tax rates considered and is followed by the final demand- and structural-effects.


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