Impacts of trade liberalization on countries’ sectoral structure of production and trade: A structural decomposition analysis

Magacho, Guilherme; McCombie, John; Guilhoto, Joaquim José Martins

doi:10.1016/j.strueco.2018.04.003

Cited by 23 publications

(15 citation statements)

References 20 publications

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“…The variables used in the paper are almost similar to the variables used in Frank et al (1975); Dietzenbacher & Los (1998); and Magacho, McCombie, & Guilhoto (2018). The variables are given in the following Figure 1.…”

Section: Analysis Of the Structural Decomposition Of The Textile-clothing Industry In Bangladesh 47mentioning

confidence: 94%

Analysis of the Structural Decomposition of the Textile-Clothing Industry in Bangladesh

Masum

Ahamed

Rahman

2021

KUBR

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Purpose: This paper aims to introduce the technology’s role and the final demand in the textile clothing industry’s growth path (TCI) of Bangladesh. Methodology: This study applies structural decomposition analysis in the input-output framework to measure Bangladesh’s textile–clothing industry structural changes. Structural decomposition analysis is also known as growth accounting in literature. Findings: This paper finds that, from 1975 to 1995, the TCI has grown due to huge domestic demand, from 1995 to 2015, this industry has grown due to export expansion. The technology was never a key factor over low–cost labor for the development of TCI in Bangladesh. Implications: For the sustainable development of the TCI in Bangladesh, domestic demand expansion is significant. Private and public policies should reflect this expansionary (domestic demand expansion) strategy. Originality: Previous studies on the TCI were mainly descriptive; there was no decomposition analysis in the input-output framework. Moreover, this paper decomposes the growth of the TCI into technical effect and final demand effect, which are new in the ready-made garment industry of Bangladesh.

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Section: Analysis Of the Structural Decomposition Of The Textile-clothing Industry In Bangladesh 47mentioning

confidence: 94%

Analysis of the Structural Decomposition of the Textile-Clothing Industry in Bangladesh

Masum

Ahamed

Rahman

2021

KUBR

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“…Decomposition analysis has been widely used in investigating the driving factors of energy and pollutant emissions. At present, there are two main kinds of decomposition models, namely index decomposition analysis (IDA) [35,36,37] and structural decomposition analysis (SDA) [38,39,40].…”

Section: Methodsmentioning

confidence: 99%

Identifying Driving Factors of Jiangsu’s Regional Sulfur Dioxide Emissions: A Generalized Divisia Index Method

Yang

Shan

2019

IJERPH

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The Chinese government has made some good achievements in reducing sulfur dioxide emissions through end-of-pipe treatment. However, in order to implement the stricter target of sulfur dioxide emission reduction during the 13th “Five-Year Plan” period, it is necessary to find a new solution as quickly as possible. Thus, it is of great practical significance to identify driving factors of regional sulfur dioxide emissions to formulate more reasonable emission reduction policies. In this paper, a distinctive decomposition approach, the generalized Divisia index method (GDIM), is employed to investigate the driving forces of regional industrial sulfur dioxide emissions in Jiangsu province and its three regions during 2004–2016. The contribution rates of each factor to emission changes are also assessed. The decomposition results demonstrate that: (i) the factors promoting the increase of industrial sulfur dioxide emissions are the economic scale effect, industrialization effect, and energy consumption effect, while technology effect, energy mix effect, sulfur efficiency effect, energy intensity effect, and industrial structure effect play a mitigating role in the emissions; (ii) energy consumption effect, energy mix effect, technology effect, sulfur efficiency effect, and industrial structure effect show special contributions in some cases; (iii) industrial structure effect and energy intensity effect need to be further optimized.

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“…In this structural decomposition method, changes in input-output coefficients are interpreted as technological change, that is, changes that do not necessarily impact on total technological growth, in the Solow sense of the term (Magacho et al 2018). These changes are interpreted as any factor that can cause a change in the technical coefficient, such as technological change, technical substitution and scale effects (Rose and Casler 1996).…”

Section: Structural Decomposition Analysismentioning

confidence: 99%

Effect of the Great Crisis on Sectoral Female Employment in Europe: A Structural Decomposition Analysis

Barba

Apezteguía

2020

Economies

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Sectoral gender segregation in labor markets is a fact. This paper examines the female distribution of employment by sectors in the EU 28, thereby contributing to the literature on the effects of the recession and subsequent austerity measures on female employment. An input-output model and structural decomposition analysis are used to assess the contribution of factors such as technological change, productivity change and final demand change. The latter had a positive impact over the period of analysis by creating new job opportunities for women, especially in the public service sectors, whereas productivity growth had a negative impact, particularly in the private service sectors. These changes have resulted in a reduction in the level of gender sectoral segregation; change in household expenditure again is the main driver of this reduction. Changing trends in labor requirements and gross capital formation have the opposite effect; thus, these trends increase the level of sectoral segregation.

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Impacts of trade liberalization on countries’ sectoral structure of production and trade: A structural decomposition analysis

Cited by 23 publications

References 20 publications

Analysis of the Structural Decomposition of the Textile-Clothing Industry in Bangladesh

Analysis of the Structural Decomposition of the Textile-Clothing Industry in Bangladesh

Identifying Driving Factors of Jiangsu’s Regional Sulfur Dioxide Emissions: A Generalized Divisia Index Method

Effect of the Great Crisis on Sectoral Female Employment in Europe: A Structural Decomposition Analysis

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