Research on China export structure adjustment: an embodied carbon perspective

This paper calculated the embodied carbon in China export and its distribution in each industrial sector. The calculation results showed the total carbon emission of export experienced an increase before 2007 and then a decrease till 2010. The ratio of export embodied carbon accounting for the total carbon emission in China also increased from 31 % in 2002 to 52 % in 2007 and then declined to 40 % in 2010. As for distribution, the export embodied carbon emission of the following industries such as machinery and equipment manufacturing, metal products manufacturing industry, chemical industry, textile, clothing and leather products manufacturing industry ranked the highest. According to the calculation and analysis of the main driving factors of embodied carbon growth, we analyzed the structure effect, scale effect and technological effect’s influence on embodied carbon growth, respectively. We also calculated the trade competitiveness index of 17 export industries. Through research, we found that the products with strong international competitiveness belong to high-carbon-emission categories, which was the main reason of high carbon emission in China export. Finally, we proposed related policy suggestions to promote China’s export trade structural readjustment and optimization and China’s low carbon development in export.

     

Study on the CO<Subscript>2</Subscript> emissions embodied in the trade of China’s steel industry: based on the input–output model

The impact of trade on the environment and the climate has become a focus of attention. Tending to develop industries with higher added values, developed countries rely on importing high energy consumption goods from developing countries, and however, some CO₂ emissions are embodied in the process of import. Currently, the accounting method of the territorial responsibility used to get the international data of greenhouse gas inventories ignores the difference between domestic consumption and export demands. Thus, developing countries bear the responsibility of pollution emissions from the export. The steel industry is an important basic industry of China’s national economy as well as a vital part in the industrial system. With the expansion of trade scale, the impact of the export and import of China’s steel on CO₂ emissions is growing. This paper studied the embodied CO₂ emissions in the trade of China’s steel from 2005 to 2014, using the input–output model and the trade data of the China’s steel imports and exports. The results indicate that (1) the complete CO₂ emissions of China’s steel industry are high. (2) The increase in the export scale makes the embodied CO₂ emissions in the trade of China’s steel export increase, and (3) China is a net exporter of CO₂ emissions in the steel trade. Especially after 2007, the value of China’s steel exports has been larger than that of China’s steel imports, so China had borne much CO₂ emissions responsibility in the trade of China’s steel. Therefore, this paper puts forward that, in the future, the export structure of goods should be optimized into the high-tech products with the high added value, low energy consumption and low carbon emissions, and meanwhile, service industry is promoted to improve technical support to reduce CO₂ emissions in the steel industry.     

Using LMDI method to analyze the influencing factors of carbon emissions in China’s petrochemical industries

China’s petrochemical industries are playing an important role in China’s economic development. However, the industries consume large amounts of energy and have become primary sources of carbon emission. In this paper, the change in carbon emissions from China’s petrochemical industries between 2000 and 2010 was quantitatively analyzed with the Log-Mean Divisia Index method, which was decomposed into economic output effect, industrial structural effect and technical effect. The results show that economic output effect is the most important factor driving carbon emission growth in China’s petrochemical industries; industrial structural effect has certain decrement effect on carbon emissions; adjustment of industrial structure by developing low-carbon emission industrial sectors may be a better choice for reducing carbon emissions; and the impact of technical effect varies considerably without showing any clear decrement effect trend over the period of year 2000–2010. The biggest challenge is how to make use of these factors to balance the relationship between economic development and carbon emissions. This study will promote a more comprehensive understanding of the inter-relationships of economic development, industrial structural shift, technical effect and carbon emissions in China’s petrochemical industries and is helpful for exploration of relevant strategies to reduce carbon emissions.     

Using LMDI method to analyze the influencing factors of carbon emissions in China’s petrochemical industries

China’s petrochemical industries are playing an important role in China’s economic development. However, the industries consume large amounts of energy and have become primary sources of carbon emission. In this paper, the change in carbon emissions from China’s petrochemical industries between 2000 and 2010 was quantitatively analyzed with the Log-Mean Divisia Index method, which was decomposed into economic output effect, industrial structural effect and technical effect. The results show that economic output effect is the most important factor driving carbon emission growth in China’s petrochemical industries; industrial structural effect has certain decrement effect on carbon emissions; adjustment of industrial structure by developing low-carbon emission industrial sectors may be a better choice for reducing carbon emissions; and the impact of technical effect varies considerably without showing any clear decrement effect trend over the period of year 2000–2010. The biggest challenge is how to make use of these factors to balance the relationship between economic development and carbon emissions. This study will promote a more comprehensive understanding of the inter-relationships of economic development, industrial structural shift, technical effect and carbon emissions in China’s petrochemical industries and is helpful for exploration of relevant strategies to reduce carbon emissions.

     

中国进出口贸易碳转移排放测算方法分析与评价

目前中国的碳转移排放测算方法有很多,虽然方法不尽相同,但总的结论和计算出的变化趋势类似。造成碳转移量测算结果产生较大差异的原因主要有两方面,一是碳排放强度的测算模型不同,二是对于中国加工贸易转移碳排放的认识不同。测算避免转移排放量时,如果不考虑加工贸易的影响,在某些年份（如2002年）甚至会得到＂中国是碳转移的净进口国...     

Indirect carbon emissions from household consumption between China and the USA: based on an input–output model

Based on an input–output model, this paper calculates carbon emissions from household energy consumption in 2002, 2005, 2007, and 2010 between China and the USA. By a comparative analysis of the two countries, the results indicate the following: (1) In terms of the total household indirect carbon emissions, the USA has always been at a higher level than China. However, in recent years, China has presented a rapidly rising trend. In contrast, the USA appears to be experiencing a downward trend. (2) Indirect carbon emissions from USA household consumption mainly focus on Residence; Education, Culture, and Recreation; and Transport and Communications. By comparison, residence accounts for 50 % of China’s household indirect carbon emissions, and seven other sectors are much less than the USA (3) Although the number of China’s household facilities is growing rapidly, the carbon emissions remain at a relatively steady level. (4) In terms of the absolute value of the indirect carbon emissions from housing, the USA maintains a steady 400 million ton, while China increased from 150 to 500 million ton over 2002–2010.

     

Study on temporal and spatial evolution of China’s oil supply and consumption

To begin with, energy flow chart is used to analyze the status of China’s oil supply and consumption. Moreover, the temporal and spatial evolution of the oil production and oil products consumption in China is studied based on the gravity model. Finally, the decoupling index combined with the log mean Divisia index method is used to explore the contribution of the factors which influence terminal oil product consumption in China over the period 1991–2010. This paper draws the following results: (1) China’s net oil import dependency soared from 7.5 % in 1993 to 58.63 % in 2010. (2) The center of gravity for crude oil production and oil products consumption is an overall movement toward the southwest. (3) The economic activity effect is the critical factor in the growth of oil products consumption in China. However, industrial energy intensity effect plays the dominant role in decreasing oil products consumption. (4) The value of the decoupling index represented a re-coupling effect in 1996–1997 and 2003–2004. The other time interval showed weak decoupling effect.     

Maintaining domestic production through exports: the case of Japan’s metal forming machinery sector

Most advanced market economies have met difficulties retaining a manufacturing base. Domestic production remains important, however, given the downstream economic impacts of the manufacturing sector, including the advantages of export-base industries. In order to keep producing domestically, firms must persistently innovate and increasingly look to new markets. To explore the issue at greater length, this paper examines the case of Japan’s metal forming machinery industry, a key capital goods sector in terms of its criticality to overall durable goods manufacturing and its recent export success. This paper examines recent performance as an example of a successful industry that retains significant domestic production while simultaneously maintaining high export levels.     

Determinants of the increased CO<Subscript>2</Subscript> emission and adaption strategy in Chinese energy-intensive industry

Climate change has not only brought about many natural hazards but also threaten the sustainable development of industry. This study is to investigate the adaptive implications for energy-intensive industries of China in response to climate change impacts. For this purpose, a deep and comprehensive analysis on the change of CO₂ emission for 6 energy-intensive sectors is explored over the period of 2000–2007. A Log-Mean Divisia Index based on time series is also introduced in our study to identify the key factors toward the change of CO₂ emission. It is shown that there were 146.1 million metric tons carbon increased in energy-intensive industries from 2000 to 2007. And the excessive growth of industrial output and increasingly fossil-intensive energy consumption structure were the main driving forces for the increased CO₂ emission. Nevertheless, energy intensity change and declining emission coefficient of electricity played negative role in the growing trend of CO₂ emission. On the basis of these four determinants (namely industrial output, energy intensity, fuel mix effect, and emission coefficient), it is suggested that both economic motives and technologically feasible approaches should be implemented to control the scale of excessive productions and improve energy efficiency toward the energy-intensive industries. And more importantly, strengthening energy-intensive sectors’ awareness of climate change adaptation should be given stronger emphasis as long-term work with the help of some propaganda campaigns for instance.     

Changes in carbon sink value based on RS and GIS in the Heidaigou opencast coal mine

The dynamic change in the carbon sink value of the Heidaigou opencast mining area in the Inner Mongolia Autonomous Region of China was analyzed by remote sensing and geographical information system to investigate the effect of land rehabilitation and ecological reconstruction in mining area on the biogeochemical cycle of carbon. The mining area’s carbon sink volume and value from 1987 to 2010 were calculated according to carbon sink capacity differences across various vegetation and land use types. The results indicate the following conclusions. (1) The carbon sink volume and value decreased by 17 % over 23 years, from 7,217,104.59 t and $1,082.57 million to 5,990,016.2 t and $898.50 million, respectively. (2) Assuming a dump is rehabilitated with 20 % woodland and 80 % grassland, the carbon sink volume and value can increase to 6,593,952.5 t and $989.09 million, respectively. The value would increase by 10.08 % after land rehabilitation. (3) Assuming that other industrial land is rehabilitated with grassland after the dumps are completely rehabilitated, the carbon sink volume and value would increase to 6,742,684.36 t and $1011.40 million, respectively. The value would increase by 12.57 % after land rehabilitation. The results indicate that land rehabilitation and ecological reconstruction can increase mining area carbon sinks and produce ecological and economic benefits. This study provides a new perspective on land rehabilitation and ecological reconstruction.     

Club convergence and spatial distribution dynamics of carbon intensity in China’s construction industry

Climate change caused by carbon emissions continuously threatens sustainable development. Due to China’s immense territory, there are remarkable regional differences in carbon emissions. The construction industry, which has strong internal industrial differences, further leads to carbon emission disparity in China. Policymakers should consider spatial effects and attempt to eliminate carbon emission inequality to promote the sustainable development of the construction industry and realize emission reduction targets. Based on the classic Markov chain and spatial Markov chain, this paper investigates the club convergence and spatial distribution dynamics of China’s carbon intensity in the construction industry from 2005 to 2014. The results show that the provincial carbon intensity in the construction industry is characterized by “convergence clubs” during the research period, and very low-level and very high-level convergence clubs have strong stability. Moreover, the carbon intensity class transitions of provinces tend to be consistent with that of their neighbors. Furthermore, the transition of carbon intensity types is highly influenced by their regional backgrounds. The provinces with high carbon emissions have a negative influence on their neighbors, whereas the provinces with low carbon emissions have a positive influence. These analyses provide a spatial interpretation to the “club convergence” of carbon intensity.     

The impact of economic growth,industrial structure and urbanization on carbon emission intensity in China

China’s macroeconomic policy framework has been determined to ensure steady growth, adjust the industrial structure and advance the socioeconomic reforms in recent years. And urbanization is supposed to be one of the most important socioeconomic reform directions. Meanwhile, China also committed to reduce carbon emissions intensity by 2020, then it should be noted that what kind of impact of these policy orientations on carbon emission intensity. Therefore, based on the historical data from 1978 to 2011, this paper quantitatively studies the impact of China’s economic growth, industrial structure and urbanization on carbon emission intensity. The results indicate that, first, there is long-term cointegrating relationship between carbon emission intensity and other factors. And the increase in the share of tertiary industry [i.e., the ratio of tertiary industry value added to gross domestic product (GDP)] and economic growth (here we use the real GDP per capita) play significant roles in curbing carbon emission intensity, while the promotion of population urbanization (i.e., the share of population living in the urban regions of total population) may lead to carbon emission intensity growth. Second, there exists significant one-way causality running from the urbanization rate and economic growth to carbon emission intensity, respectively. Third, among the three drivers, economic growth proves the main influencing factor of carbon emission intensity changes during the sample period.     

Decision support method for GHG emission management in industries

Keeping temperature rise well below 2 °C is Paris Climate Agreement’s main commitment and corporate-level participation will be crucial to achieve national mitigation targets. Hence, companies should adopt measures that allow them to adapt to upcoming scenarios where low-carbon production is expected to become mandatory and a great competitive advantage. However, mitigation strategies cannot be evaluated without consideration of subjective environmental criteria. Consequently, lack of decision support methodologies for climate change evaluation in industries is a barrier for innovation. Aiming at consideration of non-monetary aspects, we develop a support method that incorporates costs, benefits, opportunities and risks related to climate change in manufacturing industries. First, we compared the most relevant multi-criteria decision analysis methodologies and identified an Analytic Hierarchy Process (AHP) as the most suitable for ranking corporate climate change strategies. Then, we collected global analysis criteria from the most important socially responsible investment indices, and climate change scientific studies. To adapt these criteria to the AHP method, each criterion was sorted into benefits, opportunities, costs or risks hierarchies. Proposed method was efficient for assessing long-term subjective criteria and ranking alternatives for GHG emission management in two large manufacturing companies. A sensitivity analysis of the outcome revealed its consistency and flexibility for ranking alternatives and weighting criteria. Finally, the method is not limited to a particular type of industry and it can be adapted to other areas, such as service companies, sanitation or public sector.     

Changes in carbon intensity of China’s energy-intensive industries: a combined decomposition and attribution analysis

There has been growing interest among researchers in factors influencing carbon emissions of energy-intensive industries in China due to the important roles they play. Such studies mainly focused on evaluating carbon emissions and identifying the contributing factors separately for each energy-intensive industry. Regarding energy-intensive industries as a whole and investigating the contribution of each industry to changes in carbon intensity have not yet been sufficiently addressed and quantified. In order to deeply understand this issue, this study employed the LMDI decomposition analysis to study driving forces (e.g., emission coefficient, energy intensity, and industrial structure) of carbon intensity of energy-intensive industries. Then, attribution analysis was further used to study the contribution of each energy-intensive industry to the percent change in carbon intensity through each impact factor. The results showed that the carbon intensity of energy-intensive industries dropped by 31.83% from 1996 to 2014. The energy intensity effect was largely responsible for this decrease, of which, five industries were the contributors except for the fuel-processing industry. The industrial structure effect also contributed to the decrease, and non-metallic industry and fuel-processing industry played important roles. However, the emission coefficient effect showed a slight impact on increasing carbon intensity, which principally due to chemical industry and power generation industry. The findings suggested that the adaptability and sensitivity of different energy-intensive industries to the implemented policies were various. Based on the results, differentiated and feasible policies related to energy intensity, industrial structure, and energy structure for energy-intensive industries were provided to further mitigate carbon intensity.     

Emission patterns of acrylonitrile and styrene around an industrial wastewater treatment plant in Iran

The uncontrolled releases of volatile organic compounds (VOCs) from wastewater treatment plants (WWTPs) have been highly concerned due to the associated public health risks. In petrochemical industries, WWTPs are responsible for various organic compound emissions into the atmosphere, which can considered as the main source of VOCs emission in such industries. The typical high-strength petrochemical wastewater is generated from an acrylonitrile–butadiene–styrene (ABS) resin manufacturing plant that usually needs pretreatment before discharging to the main WWTP. The objective of this study was to investigate the emissions and fates of acrylonitrile (ACN) and styrene (STM) through wastewater pretreatment units operated in an ABS manufacturing plant. In this study, the emission rates of ACN and STM were estimated by means of EPA’s Water9 emission model. Subsequently, the emission rates were used as the input data of AERMOD model to simulate the atmospheric behaviors of emitted ACN and STM. The results of Water9 model showed that 57 and 81 % of influent ACN and STM are emitted to the air through pretreatment units, respectively. For both of them, the equalization basin had the major portion of emission to the atmosphere. The concentration distribution profiles of ACN and STM resulted from AERMOD model indicted that the concentration of STM was lower than EPA reference concentration (RfC); however, the higher concentration of ACN (higher than RfC) occurred near the WWTP as well as the neighbor ambient.     

Biosecurity and the multiplication of crises in the Egyptian agri-food industry

Through a case study of Egypt’s agri-food industry this paper examines biosecurity as a set of technologies, institutions, and practices that attempt to govern national agri-food industries and global agri-food trade by marrying a political economy perspective and an analysis of ‘nature–society relations’. Consistent with other agri-food industries in the global South, Egypt’s agri-food industry has undergone waves of corporate consolidation during the neoliberal period. By detailing the growth of the poultry industry and the endemic spread of HPAI H5N1 (avian flu), this paper presents an argument that the industry grew and consolidated through emergent and recurrent zoonotic and plant diseases, the management of which has been governed in part by biosecurity measures.     

Carbon peak and carbon neutrality in China: Goals,implementation path and prospects

Climate change is a common problem in human society. The Chinese government promises to peak carbon dioxide emissions by 2030 and strives to achieve carbon neutralization by 2060. The proposal of the goal of carbon peak and carbon neutralization has led China into the era of climate economy and set off a green change with both opportunities and challenges. On the basis of expounding the objectives and specific connotation of China’s carbon peak and carbon neutralization, this paper systematically discusses the main implementation path and the prospect of China’s carbon peak and carbon neutralization. China’s path to realizing carbon neutralization includes four directions: (1) in terms of carbon dioxide emission control: energy transformation path, energy conservation, and emission reduction path; (2) for increasing carbon sink: carbon capture, utilization, and storage path, ecological governance, and land greening path; (3) in key technology development: zero-carbon utilization, coal new energy coupling, carbon capture utilization and storage (CCUS), energy storage technology and other key technology paths required to achieve carbon peak and carbon neutralization; (4) from the angle of policy development: Formulate legal guarantees for the government to promote the carbon trading market; Formulate carbon emission standards for enterprises and increase publicity and education for individuals and society. Based on practicing the goal and path of carbon peak and carbon neutralization, China will vigorously develop low carbon and circular economy and promote green and high-quality economic development; speed up to enter the era of fossil resources and promoting energy transformation; accelerate the integrated innovation of green and low-carbon technologies and promote carbon neutrality.©2021 China Geology Editorial Office.     

Driving forces of indirect carbon emissions from household consumption in China: an input–output decomposition analysis

Human activities have become a major source of Earth’s climate change, which brings the rise of surface air temperature and subsurface ocean temperature. Therefore, promoting sustainable consumption and production patterns is imperative to minimize the use of natural resources and reduce emissions of pollutants. This study uses Economic Input–Output Life-Cycle Assessment method and structural decomposition model to identify the driving forces that influence the changes in carbon emissions from China’s residential consumption in the context of sustainable consumption. The findings of the study are as follows: (1) indirect carbon emissions from Chinese household consumption increase rapidly over time; (2) the largest carbon dioxide emitting sector turns from agriculture sector in 1992 into service sector in 2007; (3) the consumption level and the emission intensity are the main drivers that influence the change in indirect carbon emissions; and (4) the factor of consumption level presents positive effect on the emissions, while the emission intensity effect plays a negative role. Besides, the factors of urbanization, production structure, population size and consumption structure also promote the rapid increase in carbon emissions.     

Emissions of greenhouse and non-greenhouse air pollutants from fuel combustion in restaurant industry

Information on emissions from restaurant industry is limited in scientific literature. Emission inventory of greenhouse and non-greenhouse air pollutants from restaurant industry was prepared for two Class 1 Indian cities, viz. Nagpur and Raipur for 2010. Emissions were estimated from a primary database on type and amount of cooking fuel combusted in restaurant industry in the selected cities. Liquefied petroleum gas, charcoal, wood, coal, diesel and candy coal are used in this industry, first three being the major ones. Carbon dioxide emission was highest in both cities and liquefied petroleum gas, charcoal and wood were the major contributors to emissions. Total annual emissions of greenhouse gases, viz. carbon dioxide, methane and nitrous oxide were estimated to be 19,251, 27 and 1 Mg year^?1 in Nagpur and 21,207, 34 and 1 Mg year^?1 in Raipur, whereas total annual emissions of non-methane hydrocarbon (NMHC), carbon monoxide, total suspended particulate (TSP), sulphur dioxide, nitrogen oxides and black carbon (BC) were 96, 959, 31, 12, 19, 3 Mg year^?1 and 87, 1141, 78, 37, 28, 6 Mg year^?1 in Nagpur and Raipur, respectively, from all the fuels used in restaurant industry. Considering the huge growth of Indian restaurant industry in the last decade and the predicted growth in future, emissions from this industry is assumed to grow and will play a major role in governing regional and national emissions in India.