The effect of directed technical change on carbon dioxide emissions: evidence from China’s industrial sector at the provincial level

Technical change has a pivotal role to play in low-carbon development. Recent research has offered different insights regarding the effect of technical change on CO₂ emissions but ignored the bias of technical changes which lead to changes in CO₂ emissions. To fill the gap, this paper uses the 2008 to 2015 provincial-level data on China’s 22 industrial sub-sectors to investigate both the effect of directed technical change on CO₂ emissions and its heterogeneity. We find that the technical change in most industrial sectors in China was capital-biased, although a labor-biased trend was evident. Labor-biased technical change is conducive to CO₂ reduction, while capital-biased technical change has the opposite effect. Moreover, this effect is different by developmental periods, industries, and regions. Therefore, we propose that the government promotes labor-biased technical change based on the differentiated characteristics.

     

An overview of satellite remote sensing technology used in China’s environmental protection

Satellite remote sensing technology has been widely used in environmental protection in China. Based on China’s environmental protection characteristics, this paper reviews the application advancements of optical, infrared, microwave and hyperspectral satellite remote sensing techniques in atmospheric environment, water environment and ecological environment, respectively, including the atmospheric environment monitoring of aerosols, particulate matter, pollution gases, and greenhouse gases; the water environment monitoring of water blooms water quality, oil spills, water pollution and drinking water safety; the ecological environment monitor of national nature reserves, environmental damages from mines development, soil contamination, urban/rural ecological environment and biodiversity richness. Furthmore, it summarizes the limitations and future directions of satellite remote sensing studies in China environmental protection. The paper specifically notes that the development of high-resolution satellite remote sensing technology, as well as the launch and use of China series satellites could significantly improve the level of government’s environmental management.     

The total-factor energy productivity growth of China’s construction industry: evidence from the regional level

This study uses the total-factor energy productivity change index (TFEPCH) to investigate the changes in energy productivity of construction industry for 30 provincial regions in China from 2006 to 2015, adopting the improved Luenberger productivity index combined with the directional distance function. In addition to traditional economic output indicator, this study introduces building floor space under construction as a physical output indicator for energy productivity evaluation. The TFEPCH was decomposed into energy technical efficiency change and energy technical progress shift. Results indicate that, first, energy productivity of China’s construction industry decreased by 7.1% annually during 2006–2015. Energy technical regress, rather than energy technical efficiency, contributed most to the overall decline in energy productivity of China’s construction industry. Second, energy productivity in the central region of China decreased dramatically, by a cumulative sum of approximately 77.1%, since 2006, while energy productivity in the eastern and western regions decreased by over 54.3 and 65.3%, respectively. Only two of the 30 provinces considered—Hebei and Shandong—improved their energy productivity during 2006–2015. The findings presented here provide a basis for decision-making and references for administrative departments to set differentiated energy efficiency goals and develop relevant measures. Additionally, the findings are highly significant for energy and resource allocation of Chinese construction industry in different regions.     

Masses of carbon in the Earth’s hydrosphere

Recent data were summarized on the concentration and mass of inorganic and organic carbon in reservoirs of the Earth’s hydrosphere. We compared carbon masses and accumulation conditions in the surface hydrosphere and waters of the sedimentary shell and proportions between carbonate, dissolved, and suspended particulate organic carbon. It was shown that the total masses of carbon in the surface hydrosphere and in the waters of the sedimentary shell are approximately equal to 80 × 10¹⁸ g C at an organic to carbonate carbon ratio of 1 : 36 and 1 : 43, respectively. Three main forms of organic compounds in the ocean (living organisms, suspended particles, and dissolved species) occur in the proportion 1 : 13 : 250 and form the pyramid of masses 4 × 10¹⁵ g, 50 × 10¹⁵ g, and 1000 × 10¹⁵ g C_org. The descending sequence of the organic to carbonate carbon ratio in water, ocean (1 : 36) > glaciers (1 : 8) > lakes (1 : 2) > rivers (1 : 0.6) > wetlands (1 : 0.3), is in general consistent with an increase in the same direction in the mean concentrations of organic matter: 0.77 mg C_org/L in the ocean, 0.7 mg C_org/L in glaciers, 6–30 mg C_org/L in lakes, 15 mg C_org/L in rivers, and 75 mg C_org/L in wetlands. Both the mean concentrations and masses of dissolved organic matter in the pore waters of oceanic sediments and in the waters of the sedimentary shell are similar: 36–37 mg/L and 5 × 10¹⁸ and 5.6 × 10¹⁸ g, respectively. The mass of carbonate carbon in the pore waters of the ocean, (19–33) × 10¹⁸ g, is comparable with its mass in the water column, 38.1 × 10¹⁸ g.     

Divergent growth trajectories in China’s chemical industry: the case of the newly developed industrial parks in Shanghai,Nanjing and Ningbo

In the late 1990’s, the “new-economy” industries in China proved to be relatively vulnerable and were strongly hit by the financial crisis in Asia. As a result, a new economic support policy was introduced in China’s Yangtze Delta region, which put greater emphasis on the support of traditional industrial sectors, including the chemical industry. This paper investigates the effects of the growth of this industry, as well as the potential and current problems emerging from new growth paths. It compares the growth of three newly developed chemical industry parks in Shanghai, Nanjing and Ningbo. The paper is based on an institutional perspective of clustering processes arguing that regional industrialization is subject to formal and informal institutions which shape the growth paths and contribute to divergent regional trajectories. Although these industrial parks all benefit from the general economic upswing in China, their development is influenced by different business models, economic contexts, goals and strategies, leaving room for divergence and specialization. Due to the existing structure of operations, these parks have a great deal of potential but also face substantial challenges, such as the establishment of internal networks and close customer linkages. It is argued that this might limit their innovative capability in the future. Furthermore, their growth prospects differ depending on future government policies.     

Impacts of the carbon emission trading system on China’s carbon emission peak: a new data-driven approach

Natural Hazards - Over the past four decades, China’s extensive economic growth mode has led to substantial greenhouse gas emissions, and China has become the world’s largest emitter...     

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 effects of trust in government on earthquake survivors’ risk perception and preparedness in China

Natural Hazards - The accumulation of volatile organic compounds (VOCs) in ambient air affects air quality through the generation of surface level ozone and secondary organic aerosol. A study of...     

Status of China’s Land Resources in 2013

正On 22nd April 2014,with the approach of the 45th World Earth Day,the Chinese Ministry of Land and Resources announced the status of China’s land resources in 2013,putting forward the implementation of strict farmland protection measures to ensure the 1.8 billion acres of arable land.This laid a solid foundation for achieving a"ten even increase"of     

Status of China’s Mineral Resources in 2013

正On 22nd April 2014,with the approach of the 45th World Earth Day,China’s Ministry of Land and resources issued the status of China’s mineral resources in 2013.The first task of the prospecting breakthrough strategy action implemented in the last five years has been completed,and China’s security capacity for mineral resources has been significantly improved.In the     

Distribution of major hydrocarbon source rocks in the major oil-gas-bearing basins in China

The distribution characteristics of major hydrocarbon source rocks in the major oil-gas-bearing basins in China were discussed in this paper, and differences between the East and the West basins in tectonic setting, age, lithology, sedimentary environment, and hydrocarbon generation feature and potential were also studied. Considering the Lieiliang Mountains-Dalou Mountains as the boundary, source rocks in the East basins are distributed mainly in three NNE-trend subsiding belts, and those in the West basins are distributed in the north and south of the Tianshan Mountains and Qilian Mountains. They are mainly NWW trending and can be divided into four basin groups.     

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.     

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.     

Time-lag effects in Parker’s dynamo

The effects of a time lag in the magnetic quenching of the α effect is considered for an oscillating magnetic field in a Parker dynamo. The hypothesis of a parametric resonance in the system is justified, a modification of the solution is found, and the appearance of processes with periods much longer than the fundamental oscillation period is demonstrated.