scholarly journals Does Forest Industries in China Become Cleaner? A Prospective of Embodied Carbon Emission

2021 ◽  
Vol 13 (4) ◽  
pp. 2306
Author(s):  
Lanhui Wang ◽  
Zichan Cui ◽  
Jari Kuuluvainen ◽  
Yongyu Sun
Keyword(s):  
Carbon Emissions ◽  
Climate Change Mitigation ◽  
Greenhouse Gas Emission ◽  
Decomposition Analysis ◽  
Forest Products ◽  
Forest Products Industry ◽  
Index Decomposition Analysis ◽  
Index Decomposition ◽  
Forest Industries ◽  
Change Mitigation

Forests and the forest products industry contribute to climate change mitigation by sequestering carbon from the atmosphere and storing it in biomass, and by fabricating products that substitute other, more greenhouse-gas-emission-intensive materials and energy. This study investigates primary wood-working industries (panel, furniture, pulp and paper) in order to determine the development of carbon emissions in China during the last two decades. The input–output approach is used and the factors driving the changes in CO2 emissions are analyzed by Index Decomposition Analysis–Log Mean Divisia Index (LMDI). The results show that carbon emissions in forest product industries have been declining during the last twenty years and that the driving factor of this change is the energy intensity of production and economic input, which have changed dramatically.

Driving factors of energy-relevant CO2 emissions in China’s fixed asset investment

2018 ◽  
Vol 12 (4) ◽  
pp. 601-616
Author(s):  
Hongtao Liu ◽  
Jin Shang
Keyword(s):  
Intensity Factor ◽  
Carbon Emissions ◽  
Driving Forces ◽  
Decomposition Analysis ◽  
Carbon Intensity ◽  
Policy Recommendations ◽  
Fixed Asset ◽  
Content Type ◽  
Index Decomposition Analysis ◽  
Index Decomposition

Purpose The purpose of this paper is to use an index decomposition analysis to investigate the driving forces of China’s CO2 emissions related to fixed asset investments from 2003 to 2015. Design/methodology/approach This paper uses an index decomposition analysis to investigate the driving forces of China’s CO2 emissions related to fixed asset investments from 2003 to 2015. To make policy recommendations, this paper identifies three effects. An approach to calculating energy-relevant CO2 emissions is also presented. Findings The results suggest that the amount of CO2 emissions related to fixed asset investments increased during the entire period. The social and economic effect played a major role in promoting carbon emissions, followed by the fixed asset effect. Therefore, the activity factor was the dominant positive factor, followed by the construction factor. The negative element was the energy effect, in which the energy intensity factor played an important role in reducing emissions, followed by the structural factor. Moreover, the carbon intensity factor might be a potential inhibitory force in reducing carbon emissions. Research/limitations/implications A steady financial policy, relaxed family planning, sustainable urbanization, strategy of innovation-driven development, reform of scientific and technological structures, development of science and technology and exploration of new energy sources are proposed to mitigate carbon emissions from fixed asset investments. The conclusion also provides a reference for developing countries in similar situations. Originality/value This paper uses an index decomposition analysis to investigate the driving forces of China’s CO2 emissions related to fixed asset investments from 2003 to 2015. To make policy recommendations, this paper identifies three effects. An approach to calculating energy-relevant CO2 emissions is also presented.

Gender, Forests and Climate Change

2021 ◽  
Author(s):  
Paloma Marcos Morezuelas
Keyword(s):  
Climate Change ◽  
Climate Change Mitigation ◽  
Climate Change Impacts ◽  
Forest Products ◽  
Value Chains ◽  
Adaptation Measures ◽  
Mitigation And Adaptation ◽  
Payment Schemes ◽  
Gender Lens ◽  
Change Mitigation

As users of forest products and guardians of traditional knowledge, women have always been involved in forestry. Nevertheless, their access to forest resources and benefits and participation in forest management is limited compared to mens despite the fact that trees are more important to women, who depend on them for their families food security, income generation and cooking fuel. This guide aims to facilitate the incorporation of a gender lens in climate change mitigation and adaptation operations in forests, with special attention to those framed in REDD. This guide addresses four themes value chains, environmental payment schemes, firewood and biodiversity that relate directly to 1) how climate change impacts affect women in the forest and 2) how mitigation and adaptation measures affect womens access to resources and benefits distribution.

The Decomposition Analysis of Carbon Emissions: Theoretical Basis, Methods and Their Evaluations

2020 ◽  
Vol 08 (04) ◽  
pp. 2050020
Author(s):  
Shenning QU
Keyword(s):  
Environmental Economics ◽  
Carbon Emissions ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Series Data ◽  
Process Time ◽  
Structural Decomposition Analysis ◽  
Systematic Analysis ◽  
Index Decomposition ◽  
Laspeyres Index

As an analytical framework for studying the characteristics of changes in things and their action mechanisms, the decomposition analysis of greenhouse gas emissions has been increasingly used in environmental economics research. The author introduces several decomposition methods commonly used at present and compares them. The index decomposition analysis (IDA) of carbon emissions usually uses energy identities to express carbon emissions as the product of several factor indexes, and decomposes them according to different weight-determining methods to clarify the incremental share of each index, in which way it is possible to decompose the models that contain less factors, process time series data, and conduct cross-country comparisons. It mainly includes the Laspeyres index decomposition and the Divisia index decomposition. Among them, the LMDI I method has been widely used for its advantages such as generating no residuals and easy to use. The structural decomposition analysis (SDA) can be used to conduct a more systematic analysis, decompose models with more influencing factors, and analyze the impacts of various factors on emissions, but this method has higher requirements for data collection. The biggest difference between the SDA method and the IDA methods of carbon emissions is that the former is based on an input–output system, while the latter only needs to use sectors’ aggregate data.

Decomposição do consumo de energia na indústria brasileira: efeitos do aumento da atividade entre 1970 - 2019

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Marlon Salazar
Keyword(s):  
Decomposition Analysis ◽  
Index Decomposition Analysis ◽  
Index Decomposition

A indústria é um dos setores da economia que mais consomem energia, sendo responsável por 32% do consumo final em 2019. Compreender como se comporta o consumo da indústria ao longo das décadas, decompondo a variação do consumo entre os efeitos atividade, estrutura e intensidade, através da decomposição de números índices, é de grande importância e é o objetivo principal deste trabalho. Este trabalho inova ao utilizar o método “Index Decomposition Analysis (IDA)” para os dados de consumo de energia industrial. Conclui-se que o efeito atividade é o principal responsável pelo aumento no consumo de energia, já que captura a participação do aumento da produção industrial sobre o consumo de energia. Por outro lado, o efeito intensidade cresce no período, o que indica que a indústria brasileira está se tornando menos eficiente no consumo de energia. Já o efeito estrutura contribui reduzindo o consumo no período estudado, o que indica que os setores energo intensivos perderam participação na produção industrial. Além disso, a partir da estimação da equação de demanda de energia utilizando como proxy do consumo o efeito atividade, constata-se que a elasticidade renda da demanda de energia foi de 1,57% no período, já que a elasticidade preço da demanda não é significante.

Global forest products trade model.

2021 ◽  
pp. 110-141
Author(s):  
Prakash Nepal ◽  
Joseph Buongiorno ◽  
Craig M. T. Johnston ◽  
Jeffrey Prestemon ◽  
Jing-gang Guo
Keyword(s):  
Climate Change ◽  
Policy Analysis ◽  
Mathematical Formulation ◽  
Forest Products ◽  
Mitigation Strategies ◽  
Forest Sector ◽  
Analysis Tool ◽  
Trade Model ◽  
Forest Industries ◽  
Change Mitigation

Abstract This chapter introduces the Global Forest Products Model (GFPM). The general model structure and the mathematical formulation of the GFPM are provided and key differences and similarities to the modeling approaches developed in the previous chapters are highlighted. The usefulness of the GFPM as a forest sector tool for policy analysis is illustrated by summarizing its applications in a wide array of past and ongoing studies. These studies are summarized under four representative groups: (i) forest sector outlook studies; (ii) studies evaluating the consequences of tariff and non-tariff barriers on the international trade of forest products; (iii) studies projecting the impacts of climate change and forest-based climate change mitigation strategies on forests and forest industries; and (iv) other studies dealing with other important questions, such as the effects of the rise in global planted forest area, illegal harvests, and invasive species. Some of the limitations of GFPM, ways to mitigate these limitations, and its overall usefulness as a forest sector policy analysis tool are also examined.

Sign in / Sign up

Export Citation Format

Share Document