scholarly journals Modelling the Non-Linear Energy Intensity Effect Based on a Quantile-on-Quantile Approach: The Case of Textiles Manufacturing in Asian Countries

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2229 ◽  
Author(s):  
Muhammad Haseeb ◽  
Sebastian Kot ◽  
Hafezali Iqbal Hussain ◽  
Leonardus WW Mihardjo ◽  
Piotr Saługa
Keyword(s):  
Textile Industry ◽  
Energy Intensity ◽  
Causal Connection ◽  
Intensity Effect ◽  
Textile Manufacturing ◽  
Dynamic Relationship ◽  
Asian Economies ◽  
Asymmetric Impact ◽  
Textiles And Clothing ◽  
Granger Causality In Quantiles

The objective of the current examination is to identify the dynamic relationship between the textile industry and energy intensity. The study evaluates the asymmetric impact of textile manufacturing on energy intensity in leading Asian economies based on textile dominance. China, Indonesia, India, Pakistan, Bangladesh, Malaysia, South Korea, Thailand, Japan and Vietnam are dominant in textile manufacturing. In the present study we used yearly textiles and clothing data from top ten selected Asian textile manufacturing countries from 1990 to 2018. The results of quantile-on-quantile regression (QQ) confirmed that textiles and clothing (T&C) production have a positive and significant impact on energy intensity in all countries. The results further suggested that a low level of T&C production increases the level of energy intensity in all selected countries. On the other hand, the results of Granger causality in quantiles confirm a bidirectional causal relationship between T&C production and energy intensity in all selected countries except Thailand and Japan, where a uni-directional causal connection between textile and clothing manufacturing and energy intensity can also be found. This study recommends that governments and investors need to invest more in green and advanced technologies to reduce the energy intensity in Asian economies.

scholarly journals Energy Efficiency Measurement: A VO TFEE Approach and Its Application

2021 ◽  
Vol 13 (4) ◽  
pp. 1605
Author(s):  
Shuangjie Li ◽  
Hongyu Diao ◽  
Liming Wang ◽  
Chunqi Li
Keyword(s):  
Energy Efficiency ◽  
Textile Industry ◽  
Sustainable Development Goals ◽  
Energy Intensity ◽  
Emissions Reduction ◽  
Eu Member States ◽  
Intermediate Consumption ◽  
Desirable Output ◽  
Development Goals ◽  
The Empirical Analysis

Energy efficiency is crucial to the 2030 UN Sustainable Development Goals (SDGs), but its widely measured indicator, energy intensity, is still insufficient. For this reason, in 2006, total factor energy efficiency (TFEE) was proposed with capital, labor, and energy as inputs and GDP as the desirable output. The later TFEE approach further incorporated pollution as the undesirable output. However, it is problematic to regard GDP (the total value of final products) as the desirable output, because GDP does not include the intermediate consumption, which accounts for a large part of the production activities and may even be larger than the value of GDP. GDP is more suitable for measuring distribution, while VO (value of output) is more appropriate for sustainable production analysis. Therefore, we propose a VO TFEE approach that takes VO as the desirable output instead and correspondingly incorporates the other intermediate materials and services except energy into inputs. Finally, the empirical analysis of the textile industry of EU member states during 2011–2017 indicates that the VO TFEE approach is more stable and convergent in measuring energy efficiency, and is more suitable for helping policymakers achieve the SDGs of energy saving, emissions reduction, and sustainable economic development.

scholarly journals Decomposition Analysis of CO2 Emissions for Turkey and Iran over 1990-2010

2014 ◽  
Author(s):  
Hasan Rüstemoğlu ◽  
Sevin Uğural
Keyword(s):  
Co2 Emissions ◽  
Scale Effect ◽  
Energy Intensity ◽  
Decomposition Analysis ◽  
Carbon Intensity ◽  
Composition Effect ◽  
Economic Sectors ◽  
Intensity Effect ◽  
The World ◽  
Laspeyres Index

There exists an important awareness for reduction of CO2 emissions to obtain a sustainable world. Together with this, there is a great deal of interest for decomposition analysis to see the accelerating and decelerating factors of CO2 emissions. The aim of this project is to decompose CO2 emissions in economic sectors for the two superpowers of Middle East, Iran and Turkey, over the time period between 1990 and 2010, for Turkey obtained a rapid growth performance in recent years and Iran which is the energy superpower of the world. Refined Laspeyres Index decomposition method and a consistent data gathered from the World Bank’s and UN’s databases have been used during the analysis. Five main sectors (agriculture, manufacturing, transportation, construction and other service sectors) and four main impacts (scale effect, composition effect, energy intensity effect and carbon intensity effect) have been considered to see the increasing and decreasing factors of CO2 emissions. Various interesting results are observed for both of the countries, for each of the economic sectors. Generally scale effect and energy intensity effect are the dominant impacts for all sectors of both countries. However composition effect and carbon intensity effect are also important contributors for economic activities of these two countries. Overall, our analysis showed that these two countries should pay attention for energy intensity and sustainable economic growth.

An Analysis of Growth and Association between Labour Productivity and Wages in Indian Textile Industry

2018 ◽  
Vol 43 (1-2) ◽  
pp. 78-87 ◽  
Author(s):  
Vanita Ahlawat ◽  
Renu
Keyword(s):  
Real Wage ◽  
Wage Rate ◽  
Textile Industry ◽  
Labour Productivity ◽  
Value Added ◽  
Gender Disparity ◽  
Wage Determination ◽  
Textile Manufacturing ◽  
Wage Rates ◽  
The Impact

India is one of the largest textile producers in the world. Textile industry is huge employment-providing industry after agriculture in India. The present article is an attempt to analyse first, the growth and composition of employees engaged in textile industry in India. Second, to find the growth and relation between employments, man-days employed, wages and net value added (NVA) by textile industry in India. And lastly, the impact of labour productivity in wage determination is also analysed. The results suggested that there is huge gender disparity in employment, that is, women are very few in comparison to men workers. Overall employment in textile has an increasing trend among both categories of textile industry. Further, spinning, weaving and finishing of textile manufacturing is growing faster than manufacturing of other textiles. Employment in textile industry has a positive and significant correlation with real wage rates in both categories of industries. This indicates that increase in real wage rate causes enhancement in employment in textile manufacturing. And further results suggest that labour productivity is a significant determinant of wage rate of textile employees.

Comparison analysis of energy intensity for five major sub-sectors of the Textile Industry in Iran

2012 ◽  
Vol 23 (1) ◽  
pp. 186-194 ◽  
Author(s):  
Ali Hasanbeigi ◽  
Abdollah Hasanabadi ◽  
Mohamad Abdorrazaghi
Keyword(s):  
Textile Industry ◽  
Energy Intensity ◽  
Comparison Analysis

Collaboration in achieving sustainable solutions in the textile industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mônica Cavalcanti Sá de Abreu ◽  
Fabiana Nogueira Holanda Ferreira ◽  
João F. Proença ◽  
Domenico Ceglia
Keyword(s):  
Value Chain ◽  
Textile Industry ◽  
Business Models ◽  
Clothing Industry ◽  
Manufacturing Companies ◽  
Ecological Value ◽  
Society Business ◽  
Content Type ◽  
Sustainable Solutions ◽  
Textiles And Clothing

Purpose This paper aims to investigate how sustainable solutions in the textiles and clothing industry are decided through business-to-business collaboration. Design/methodology/approach A qualitative and inductive study of the Brazilian textiles and clothing industry is carried out, an industry in which sustainable denim products are increasingly being recognized as subject to competition. The paper adopts a focal net perspective to understand the collaborative arrangements through which firms combine the products they offer as a sustainable solution. Documentary data were collected and in-depth interviews conducted with the top managers of one of the world’s largest denim-manufacturing companies present in the Brazilian market, which is involved in providing sustainable solutions in cooperation with its partners. Findings The authors describe the factors that reflect the conditions for generating a sustainable business performance, including a corporate policy that assumes and articulates the responsibility for social interest, core-business stakeholders and regulatory requirements; a sustainable product-service system (S.PSS) based on innovative interactions between the stakeholders in the value production system; relations between stakeholders that promote business sustainability through a dependable value chain characterized by a sense of collaboration and collective actions; and a business model for sustainability that combines economic with social and ecological value creation. These factors help a business establish a more strategic position in the value network, enabling it to capture more value. Practical implications Sustainable solutions are developed dynamically and collaboratively within an S.PPS. Managers need to focus not only on tangible products but also on intangible services designed and combined so that they are jointly capable of fulfilling customer’s needs and creating social and ecological value. Managers within the solution provider must develop business models for sustainability that are continually evolving to satisfy the interest in resource-efficiency by actors in civil society, business and government. Originality/value The research contributes to the existing literature by applying approaches involving corporate social responsibility (CSR) and strategic nets to the study of the implementation of an S.PSS. Sustainable initiatives and offers developed by an S.PSS are not isolated phenomena but result from collaboration in finding solutions among different actors linked in a strategic net. In this sense, companies need to adjust their business models for sustainability to generate positive economic, social and ecological value and gain credibility for their missions.

Strategic Impacts of Advanced Manufacturing Technology on American Textile Industry

2018 ◽  
Vol 9 (2) ◽  
pp. 54-69 ◽  
Author(s):  
Gregory W. Ulferts ◽  
Terry L. Howard ◽  
Nicholas J. Cannon
Keyword(s):  
Textile Industry ◽  
Manufacturing Industry ◽  
The United States ◽  
Global Market ◽  
Manufacturing Technology ◽  
Advanced Technology ◽  
High Rate ◽  
Labor Costs ◽  
Textile Manufacturing ◽  
The U.S

This article describes how U.S. manufacturing was stricken when companies embraced outsourcing beginning in the 1990s as a strategy for taking advantage of lower labor costs in developing countries. The U.S. textile and apparel industries lost 76.5% of its workforce, or 1.2 million jobs, between 1990 and 2012. The catalyst which has renewed the interest in manufacturing textiles and apparel in the United States is the narrowing gap between the U.S. and Asian labor costs. The sector changed in response to technology and the global market, and both the number and type of employees demanded turned as well. The advanced technology currently drives the domestic textile industry. Despite a positive outlook on growth, it is unlikely that textile manufacturing will create the large number of jobs that it did in the past. Furthermore, it is only viable because of the technological improvements to its factories. The current production is designed to employ fewer workers in order be more productive and less dependent on labor costs. Nevertheless, the high demand for specialized and unique textiles in the U.S. and Europe will likely continue to drive improved manufacturing technology and performance. China's transition from a manufacturing economy to a service economy will increase its manufacturing operational costs, while probably growing demand for the sorts of specialized textiles on which American textile manufacturers tend to focus. If such manufacturers can increase their market shares in China and other Asian countries, while maintaining such markets in the U.S. and Europe, the American textile manufacturing industry will likely grow at a moderately high rate.

scholarly journals Analysis of Factors Influencing Carbon Emissions in the Energy Base, Xinjiang Autonomous Region, China

2020 ◽  
Vol 12 (3) ◽  
pp. 1089
Author(s):  
Jiancheng Qin ◽  
Hui Tao ◽  
Chinhsien Cheng ◽  
Karthikeyan Brindha ◽  
Minjin Zhan ◽  
...  
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Carbon Emissions ◽  
Energy Intensity ◽  
Economic Structure ◽  
Energy Structure ◽  
Intensity Effect ◽  
Entire Energy ◽  
Key Factor ◽  
Main Factors

Analyzing the driving factors of regional carbon emissions is important for achieving emissions reduction. Based on the Kaya identity and Logarithmic Mean Divisia Index method, we analyzed the effect of population, economic development, energy intensity, renewable energy penetration, and coefficient on carbon emissions during 1990–2016. Afterwards, we analyzed the contribution rate of sectors’ energy intensity effect and sectors’ economic structure effect to the entire energy intensity. The results showed that the influencing factors have different effects on carbon emissions under different stages. During 1990–2000, economic development and population were the main factors contributing to the increase in carbon emissions, and energy intensity was an important factor to curb the carbon emissions increase. The energy intensity of industry and the economic structure of agriculture were the main factors to promote the decline of entire energy intensity. During 2001–2010, economic growth and emission coefficient were the main drivers to escalate the carbon emissions, and energy intensity was the key factor to offset the carbon emissions growth. The economic structure of transportation, and the energy intensity of industry and service were the main factors contributing to the decline of the entire energy intensity. During 2011–2016, economic growth and energy intensity were the main drivers of enhancing carbon emissions, while the coefficient was the key factor in curbing the growth of carbon emissions. The industry’s economic structure and transportation’s energy intensity were the main factors to promote the decline of the entire energy intensity. Finally, the suggestions of emissions reductions are put forward from the aspects of improving energy efficiency, optimizing energy structure and adjusting industrial structure etc.

scholarly journals Analysis of the Influencing Factors of Regional Carbon Emissions in the Chinese Transportation Industry

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1100 ◽  
Author(s):  
Changzheng Zhu ◽  
Meng Wang ◽  
Yarong Yang
Keyword(s):  
Size Effect ◽  
Carbon Emissions ◽  
Energy Intensity ◽  
Eastern Coast ◽  
Southern Coast ◽  
Transportation Industry ◽  
Fourth Stage ◽  
Intensity Effect ◽  
Output Effect ◽  
Economic Output

Global warming caused by excessive emissions of CO2 and other greenhouse gases is one of the greatest challenges for mankind in the 21st century. China is the world’s largest carbon emitter and its transportation industry is one of the fastest growing sectors for carbon emissions. However, China is a vast country with different levels of carbon emissions in the transportation industry. Therefore, it is helpful for the Chinese government to formulate a reasonable policy of regional carbon emissions control by studying the factors influencing the carbon emissions of the Chinese transportation industry at the regional level. Based on data from 1997 to 2017, this paper adopts the logarithmic mean divisia index (LMDI) decomposition method to analyze the influencing degree of several major factors on the carbon emissions of transportation industry in different regions, puts forward some suggestions according to local conditions, and provides references for the carbon reduction of Chinese transportation industry. The results show that (1) in 2017, the total carbon emissions of the Chinese transportation industry were 714.58 million tons, being 5.59 times of those in 1997, with an average annual growth rate of 9.89%. Among them, the carbon emissions on the Eastern Coast were rising linearly and higher than those in other regions. The carbon emissions in the Great Northwest were always lower than those in other regions, with only 38.75 million tons in 2017. (2) Economic output effect is the most important factor to promote the carbon emissions of transportation industry in various regions. Among them, the contribution values of economic output effect to carbon emissions on the Eastern Coast, the Southern Coast and the Great Northwest continued to rise, while the contribution values of economic output effect to carbon emissions in the other five regions decreased in the fourth stage. (3) The population size effect promoted the carbon emissions of the transportation industry in various regions, but the population size effect of the Northeast had a significant inhibitory influence on the carbon emissions in the fourth stage. (4) The regional energy intensity effect in most stages inhibited carbon emissions of the transportation industry. Among them, the energy intensity effects of the North Coast and the Southern Coast in the two stages had obvious inhibitory influences on carbon emissions of the transportation industry, but the contribution values of the energy intensity effect in the Great Northwest and the Northeast were positive in the fourth stage. (5) Except for the Great Southwest, the industry-scale effects of other regions had inhibited the carbon emissions of transportation industry in all regions. (6) The influences of the carbon emissions coefficient effect on carbon emissions in different regions were not significant and their inhibitory effects were relatively small.

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

2019 ◽  
Vol 16 (20) ◽  
pp. 4004
Author(s):  
Junliang Yang ◽  
Haiyan Shan
Keyword(s):  
Energy Consumption ◽  
Sulfur Dioxide ◽  
Emission Reduction ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Structure Effect ◽  
Index Method ◽  
Intensity Effect ◽  
Energy Mix ◽  
Sulfur Dioxide Emissions

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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