Structural Changes and Growth Factors of China’s Textile Industry: 1997-2012

In this study, the Input-Output Structural Decomposition Analysis (I-O SDA) method is adopted to analyze the structural change in China’s textile industry during 1997-2012 and to measure the contribution rate of the growth factors (consumption, investment, inventory, exports and imports) affecting change in its gross output. Then the key factors and main driving forces promoting textile industry development are figured out. The results show that China’s textile industry has experienced great change both in scale and structure. Among the growth factors, the contribution rate of exports is the largest, followed by investment, consumption, imports and inventory. The textile industry still relies heavily on exports, investment and consumption, while the contribution rate of imports is relatively small. In addition, technological change makes a positive contribution with technological innovation. Among the industrial sectors, the cotton & chemical fibre textile industry holds dominance, with the textile manufactured goods industry exhibiting tremendous development, the growth of the knitted textile industry fluctuating, and the wool textile industry and hemp & silk textile industry progressing slowly. Finally relevant policy suggestions are proposed to promote the balanced and coordinated development of China’s textile industry.

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The Change of Energy Consumption in China and its Driving Forces

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.700.739 ◽

2014 ◽

Vol 700 ◽

pp. 739-742

Author(s):

Yi Cao ◽

Shui Jun Peng ◽

Wen Cheng Zhang

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Driving Forces ◽

Decomposition Analysis ◽

Final Demand ◽

Embodied Energy ◽

Input Output ◽

Structural Decomposition Analysis ◽

Structural Decomposition ◽

Key Driver

This paper estimates the changes of industrial embodied energy consumption in China between 1997 and 2007, and applies a structural decomposition analysis (SDA), based on non-competitive (import) input-output tables, to analyze the sources of change of China’s energy consumption from 1997 to 2007. Results show that China’s energy consumption increased sharply, especially after the accession to WTO. The SDA results indicate that the improvement of energy efficiency during 1997-2007 significantly reduced energy consumption in China while the growth of final demand was the key driver of China’s energy consumption. In addition, distribution of final demand with the declining share of consumption and the increasing share of export push energy consumption upward.

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Why is pollution embodied in Guangdong exports declining? The roles of trading scale, technology and structural changes

Resources and Environmental Economics ◽

10.25082/ree.2021.01.002 ◽

2021 ◽

Vol 3 (1) ◽

pp. 229-238

Author(s):

Long-Ni Liang ◽

◽

Ming-Xu Wang ◽

Weast-Siu Siu ◽

◽

...

Keyword(s):

Structural Changes ◽

Average Rate ◽

Decomposition Analysis ◽

Structural Effect ◽

Clothing Industry ◽

Pollution Reduction ◽

Structural Decomposition Analysis ◽

Logarithmic Mean ◽

Index Model ◽

Technology Advancement

From 2007 to 2017, Guangdong exports grew at an average rate of 9.6%, while the energy consumption and carbon emission embodied in these trades demonstrated a declining trend. Is total real pollution embodied in exports showing the same trend? If so, what accounts for these changes? Prior studies have provided three explanations, producing greater amount of goods (“the scale effect”), adopting cleaner technologies in production processes (“the technology effect”), and producing proportionally more goods that are environmental-friendly (“the structural effect”). Question then arises as which factor is the driving force of such cleanup in the export business? To answer these questions, an EIO-LMDI (Environmental Input-Output and Logarithmic Mean Divisia Index) model is built to conduct a structural decomposition analysis of pollution embodied in Guangdong exports. We calculate that the pollution embodied in Guangdong export fell by 63 to 85 percent, depending on the pollutants. We further conclude that these pollution reductions are primarily driven by the technology advancement, with some industries, including the clothing industry, communications, computers and other electronic equipment, being more sensitive to the changes in technologies than others. The structural effect is more ambiguous. It only contributes to pollution reduction when the industry itself is pollution intensive.

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A European Structural Crisis Cartel as Solution to a Sectoral Depression?

Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook ◽

10.1515/jbwg-2017-0008 ◽

2017 ◽

Vol 58 (1) ◽

pp. 163-197 ◽

Cited By ~ 3

Author(s):

Christian Marx

Keyword(s):

European Commission ◽

Textile Industry ◽

Western Europe ◽

European Economic Community ◽

Driving Forces ◽

Chemical Fibre ◽

Fibre Industry ◽

European Level ◽

Economic Community ◽

The 1960S

Abstract Due to the decline of the Western European textile industry in the 1960s and international economic turbulences in the 1970s, the chemical fibre industry in Western Europe ran into trouble. The ten largest manufacturers of polyester fibres therefore applied for a structural crisis cartel in 1972. Even though the European Commission rejected the request, the question of a cartel agreement remained a topic of discussion at the European level for more than ten years. In June 1978, eleven European manufacturers of chemical fibres signed a cartel agreement in Brussels, but it was not compatible with the Treaty of the European Economic Community. It was not until 1980 that the companies submitted a new contract to the European Commission which was in accordance with antitrust law and renewed in 1982. The article analyses the course of negotiations as well as the driving forces and different aims of political and industrial players on the national and the European level.

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