Industrial Carbon Emission Distribution and Regional Joint Emission Reduction:A Case Study of Cities in the Pearl River Basin,China

China’s low-carbon development path will make significant contributions to achieving global sustainable development goals.Due to the diverse natural and economic conditions across different regions in China,there exists an imbalance in the distribution of car-bon emissions.Therefore,regional cooperation serves as an effective means to attain low-carbon development.This study examined the pattern of carbon emissions and proposed a potential joint emission reduction strategy by utilizing the industrial carbon emission intens-ity(ICEI)as a crucial factor.We utilized social network analysis and Local Indicators of Spatial Association(LISA)space-time trans-ition matrix to investigate the spatiotemporal connections and discrepancies of ICEI in the cities of the Pearl River Basin(PRB),China from 2010 to 2020.The primary drivers of the ICEI were determined through geographical detectors and multi-scale geographically weighted regression.The results were as follows:1)the overall ICEI in the Pearl River Basin is showing a downward trend,and there is a significant spatial imbalance.2)There are numerous network connections between cities regarding the ICEI,but the network structure is relatively fragile and unstable.3)Economically developed cities such as Guangzhou,Foshan,and Dongguan are in the center of the network while playing an intermediary role.4)Energy consumption,industrialization,per capita GDP,urbanization,science and techno-logy,and productivity are found to be the most influential variables in the spatial differentiation of ICEI,and their combination in-creased the explanatory power of the geographic variation of ICEI.Finally,through the analysis of differences and connections in urban carbon emissions under different economic levels and ICEI,the study suggests joint carbon reduction strategies,which are centered on carbon transfer,financial support,and technological assistance among cities.

Research on the Threshold Effect of China’s Pharmaceutical Export Trade on Internal and External R&D Investment

Objective To study the threshold effect of export trade on internal and external R&D investment in China’s pharmaceutical industry,and to provide reference for some pharmaceutical enterprises to improve the investment.Methods The panel data of pharmaceutical industry in 25 provinces and cities in China from 2009 to 2019 were selected to conduct empirical analysis by establishing a threshold regression model,and a better export trade interval was obtained.Results and Conclusion There is a threshold value for the effect of new product export on both internal and external R&D expenditures,and the threshold values are 845.2788 million yuan and 318.4198 million yuan,respectively.There is a single threshold effect of export trade on both internal and external R&D investment in China’s pharmaceutical industry,and the effect of export trade on internal and external R&D investment changes from negative to positive as the export trade develops from low to high.

Assessment of Industrial Land Use Intensity: A Case Study of Beijing Economic-technological Development Area

In recent years, great economic output of land has been achieved in economic-technological development areas in China, but the intensity of land use in some of these areas is very low. The degree of the low intensity of land use needs to be evaluated. The current method of comprehensive evaluation and grading by one index system has the limitations due to the existence of differences between regions and industries. This paper evaluates industrial land use intensity by Total Factor Productivity (TFP) analysis, which not only measures the intensity but also illustrates the ef-ficiency of input factors. This method is applied to the Beijing Economic-technological Development Area (BDA). A comparison analysis on factor use efficiency and input structure of capital and labor between industries is also carried out in the absence of a labor-income ratio.

Relationship between Industrial Coupling Coordination and Carbon Intensity in the Bohai Rim Economic Circle

Coordinated development of new high-tech industries and traditional industries is crucially important for economic growth and environmental sustainability,and it has become a focus of academic and governmental bodies.This study establishes the comprehensive evaluation index system of high-tech industries and traditional industries,and uses the method of principal component analysis,coupling and coupling coordination degree model to determine the level of industry coordinated development.Then,Pearson correlation test is used to further analyze the correlation between regional industrial coupling coordination and carbon intensity of the seven provinces in the Bohai Rim Economic Circle(BREC).The results are as follows.(1)There is a negative correlation between industrial coupling coordination and carbon intensity.(2)The degree of industrial coordination of Beijing,Tianjin,and Shandong is significantly higher than other provinces in the BREC,as both the high-tech industries and traditional industries of these three provinces have reached a high level of development and achieved high coupling.The high-tech industries of the three provinces show positive changes,whereas the traditional industries show negative changes,which indicates that the new high-tech industries are driving the upgrading of the traditional industries by the application of high technologies.(3)From 2011 to 2016,the number of provinces with a low degree of high-tech and traditional industrial coordination fell from three to one.The traditional industries in Hebei and Inner Mongolia have been upgraded by strengthening their technological innovation with the introduction of rapid high-tech industrial development.These findings are a useful reference for regional industrial coupling coordination and carbon emission reduction.

The Impact of Industrial Agglomeration on Carbon Emission Intensity:Evidence from China

The paper measures the total carbon emissions and carbon emission intensity of different Chinese provinces between 2000 and 2012,then analyses the spatial features and dynamic evolution of carbon emission intensity through exploratory spatial data analysis,to explore its clustering characteristics of spatial and temporal distribution and dynamic evolution.The effect of industrial agglomeration on the carbon emission intensity in China is estimated by using spatial econometric model.According to the research,three new findings are revealed as follows:firstly,inter-provincial carbon emission intensity in middle-west and northeast areas is much higher than southeast areas in China.Secondly,the spatial domain dependence and difference of China's inter-provincial carbon intensity exist simultaneously.Thirdly,the elastic coefficient of carbon intensity for industrial agglomeration change is between-0.228%and-0.37%.On the basis of these conclusions,the paper will put forward several policy recommendations according to empirical study.

Evaluation of the Economical and Intensive Use of Industrial Land in Chizhou Economic and Technological Development Zone

Based on the subdivision of industrial land in Chizhou Economic and Technological Development Zone,this paper builds the evaluation indicator system for the economical and intensive use of industrial land in the development zone,to analyze the current situation of economical and intensive use of industrial land. The results show that the levels of economical and intensive use of industrial land vary in the development zone; the factors affecting the intensive degree of various industries also vary; the industry in Chizhou Economic and Technological Development Zone is still in the transition phase from inefficient use to low level of use to intensive use.

Industrial layout reconstruction, the role of local government and variation of pollution distribution in China

In recent years, high-polluting industries have been gradually shifted from the eastern developed regions to the central and western underdeveloped regions in China. Certain environmental regulations have been in place accordingly in various regions, but the pollution in the central and western regions has risen sharply. Based on the data of interprovincial panel in China from 2006 to 2015, this paper calculates high-pollution industry dynamic agglomeration index, environmental pollution agglomeration index and relative environmental regulation intensity index, and uses Generalized Method of Moments to carry out the regression analyses of the whole samples,regional heterogeneity and temporal heterogeneity. The results show that there is an inverted Ushaped relationship between relative environmental regulation and environmental pollution concentration in China. The concentration degrees of industrial wastewater pollution and industrial waste gas pollution are deepened, which are mainly caused by the transfer of highly polluting industries. However, the concentration of industrial solid waste pollution caused by the transfer is not obvious. Furthermore, the deepening of industrialization intensifies the concentration of regional environmental pollution. Environmental Kuznets Curve does exist in China,but it is not significant. The increase of labor cost and quality will reduce the concentration of environmental pollution.

Estimation of emission reduction potential in China's industrial sector

The industrial sector is usually the largest economy sector for carbon emissions in many countries,which made it the sector with greatest potential for carbon reduction although the process duration might be very long.Studying the potential of industrial emission reduction has great significance in estimating the carbon emission peak of China on the one hand,and adjusting its strategy in international climate change negotiations.By employing the economic accounting method,this article estimates the emission reduction potential of China's Industrial sector for the period of 2010-2050.It reveals that,taking 2030 as the year when the emission reaches the peak,the total reduction can be 8.38 billion tons(bts) for the period of 2010-2030,with 3.12 bts from structural reduction while 5.26 bts from intensity reduction.Afterwards,reduction will continue with a total amount of 6.59 bts for the period of 2030-2050,where the structural reduction accounts for 2.47 bts,and intensity reduction 4.115 bts.If both industrial and energy consumption structures are improved during the above period,the reduction potential can be even greater,e.g.the emission peak can arrive five years earlier(in the year of 2025) and the peak value can decline by about 8%as compared to the original estimation.Reviewing the trajectory of emission changes in developed countries indicates that the industry sector can contribute to the overall reduction targets through the dual wheels of structural reduction and intensity reduction,even beyond the emission peak.This article concludes with the following policy suggestions.(1) Our estimation on the emission peak of the industrial sector suggests that China should avoid any commitment earlier than 2030 on the timeline of the overall emission peak;(2) the great potential of industrial emission reduction can improve the situation of China in climate change negotiation,where the intensity reduction can serve as an important policy option.(3) Reduction potential can be further enhanced through technology advancement,which requires furthering of market oriented reforms and improvement of institutional design.(4) To secure the reduction effects of the industrial structure adjustment,the balanced development among different regions should be encouraged in order to avoid the reverse adjustment caused by industrial transferring.(5) International cooperation promoting the application and development of industrial emission reduction technologies,including carbon capture,utilization and storage,should be encouraged.

Employment Effect of the Resource-abundant Industrial Cluster in Southwestern Region of Guangxi Zhuang Autonomous Region of China——A Case of Chongzuo City

Taking Chongzuo City of Guangxi Zhuang Autonomous Region as an example, the employment effect of the resource-abundant industrial cluster in southwestern Guangxi Province is analyzed according to the data from the Chongzuo Statistical Yearbook , Guangxi Statistical Yearbook from 2003 to 2008 and the data from the relevant sections of Chongzuo City, and the four employment effects of industrial cluster--the spatial expansion effect of employment chain, optimizing effect of employment structure, the multiplier effect of employment absorption and the effect of improving the quality of labors and the degree of the intensity of employment and location quotient of employment. Results show that the employment absorption of sugar industry in Chongzuo City is stable and upward slightly, and it shows strong employment effect; the sugar industry in Chongzuo is not only competitive, but also has a great share of market in employment, so it owns strong absorption of employment. The countermeasures for improving the employment level of resource-abundant and industrial cluster in southwest of Guangxi Province are put forward, including elongating industrial chain and widening employment space; strengthening various kinds of formal and informal training to improve the employment capability of laborers; laying stress on industrial structure and optimizing the employment structure; strengthening the construction of the industrial economic zone towards ASEAN(Association of Southeast Asian Nations), and fully displaying the regional advantages of the offshore border.

Measurement of Noise Pollution in Northern Industrial Areas of Windhoek, Namibia

The increase in industrial activities and vehicular movement along the northern industrial area of Windhoek has vastly increased the amount of traffic noise and other noise pollution in the area. Noise pollution has an adverse health effect to human population, when exposed for a long period. Residence in proximate communities along the north industrial area and those working in the various industries located in the area may be affected, when the noise pollution level exceed the permissible standard for human exposure. A sound level meter was used to measure the amount of noise pollution at the streets of the northern industrial area. The measurements were done during the daytime, at a time interval of 2 hours, from 08:00 am - 06:00 pm. The amount of noise pollution obtained from the study ranges from (64 - 72) dB (A), with a maximum of 72 dB (A) in Bonsmara Street, (67.4 - 75.3) dB (A), with a maximum of 75.3 dB (A) in New Castle Street, (60.5 - 81.0) dB (A), with a maximum of 72.3 dB (A) in Braham Street. (62.5 - 72.3) dB (A), with a maximum of 82.3 dB (A) in Hosea Kutako Street, (66.0 - 82.3) dB (A), with a maximum of 76.8 dB (A) in Simmentaler Street and (65.1 - 76.8) dB (A), with a maximum of 76.8 dB (A) in Dortmund Street. The variation of noise level index L10, L50, L90 and Leq, Noise Climate (NC) and Traffic Noise index (TNI) were calculated. The maximum noise pollution values obtained from the study were higher than the WHO recommended limit of 70 dB (A).

Effects of investment on energy intensity:evidence from China

This article explores the effects of investment upon energy intensity by applying a unique panel data of China's 27 provinces between 2004 and 2013.In addition,it also particularly stuthes other factors,such as energy price,economic structure,and urbanization.The results,based on four econometric regression model results,suggest that in general,the indigenous investment on research and development is a more powerful tool to decrease China's energy intensity regardless of region disparity.The foreign direct investment(FDI) has a prominent but not persistent effect on energy intensity.However,the outward direct investment has not shown its significant impact on energy intensity.At the level of an aggregate economy and China's eastern region,the results demonstrate that FDI improves energy efficiency significantly.For the central and western provinces,FDI does not support the similar conclusion.Based on these analyses,we present the corresponding regional policies for policymakers.

Research on the Impact of Independent R&D and Collaborative Innovation on Economic Performance in China’s pharmaceutical Industry

Objective To study the impact of independent R&D and collaborative innovation on economic performance in the pharmaceutical industry.Methods A panel regression model was established by selecting the panel data of China’s pharmaceutical industry from 2009 to 2019.Results and Conclusion Independent R&D and collaborative innovation of the pharmaceutical industry in eastern,central and western regions of China had a positive effect on economic performance.Besides,the promotion effect of independent R&D was greater than that of collaborative innovation.The positive driving effect of economic performance is the largest among the three regions,followed by the central and western regions.The collaborative innovation has the greatest positive effect on economic performance in the central region,followed by the eastern and western regions.

Double dividend of carbon intensity:environmental-quality improvement and sustainable economic growth

This paper established an equilibrium model including representative household,government,and eight industries,and two different environmental policy tools such as carbon intensity and carbon cap were added into the model.The paper points out that the carbon intensity policy imposed on major high-emission industries achieved double dividend of environmentalquality improvement and sustainable economic growth under the condition of proper constraint target.This result supports the environmental Porter hypothesis.This paper finds out that the double dividend is due to the fact that environmental governance policy leads to the rising price of resources and demand of labors,resulting in an effective redistribution of production factors among industries and sustainable economic growth.Furthermore,this paper estimates the marginal effect of economic structure on carbon emission and carbon intensity and provides targeted suggestions.

双向FDI协调发展对中国工业碳排放强度的影响研究

随着中国“引进来”和“走出去”战略的实施,双向FDI协调发展促进中国工业经济持续增长的同时,也要注重行业低碳发展。文中利用34个中国工业行业2008—2020年数据,对双向FDI进行耦合协调发展测度,并选取技术创新和收入水平作为中介变量,知识产权保护水平作为门槛变量来探究双向FDI协调发展对中国工业碳排放强度的影响及其作用机制。结果表明:双向FDI协调发展对中国工业碳排放强度的影响显著为负;技术创新和收入水平在双向FDI协调发展对中国工业碳排放强度影响中均存在显著的负向部分中介效应;知识产权保护水平在双向FDI协调发展对中国工业碳排放强度影响中存在双门槛效应,且作用方向为负。因此,要积极发挥双向FDI协调发展的技术溢出和逆向技术溢出效应,提高技术创新水平,且合理改善收入水平,增强双向FDI协调发展对中国工业碳排放强度的抑制作用;利用好知识产权保护水平在其中的调节作用,完善和加强知识产权保护制度和力度,有效推动中国工业结构升级。

Effect of China's industrial structure adjustment on carbon emissions

Confronting the contradiction between the rapid development of economy and the effective protection of environment, and developing low carbon economy by optimizing the industrial structure have become one of the effective way to attract more attention. In the paper, we made a research on the correlation between china's three main industries and carbon emission intensity to find out the main factors which affect the intensity of carbon emission in China by measuring the gross emission in china's 28 main provinces in 2003-2013 and using Grey correlation analysis based on the change tendency. The results indicate that the second industry has the largest correlation with carbon emission intensity; the tertiary industry helps reduce the intensity of carbon emission, but it is not very obvious; the first industry has the least impact on carbon emission intensity. In the last part, according to the characteristics of industrial structure and carbon emission, we put forward the suggestions and strategies on the adjustment of china's industrial structure in future with the results analysis.

LIRR "R&D and Industrialization of High PerformanceFunctional Refractories for Metallurgy New Technology" Project Gained Fund Support

Checked by Henan Province Development and Relbrm Commission and Henan Province MunicipalFinance （）ffice, the “R ＆ I） and Industrialization of High Performance Functional Refractories for Metallurgy New Technology” project declared by 1,1RR gained a special fund support on self-renovation and products structure adjustment. The project will realize the technology integration and industriali-zation of key refractories including purging component, metering nozzle and toil and belt continuous casting nozzle, etc. through building high performance functional refractories production lines for metallurgy new technology.

The Convergence Analysis on the Economic Growth and Energy Intensity Gap between Regional Sectors

In this paper,the authors have analyzed the relationship between energy intensity gap and GDP per worker gap of China's western and eastern provinces over the period 1997-2006.Using panel data model with lag adjustment,taking the above provinces and six industrial sectors (agriculture,forestry,animal husbandry,and fisheries,industry,construction industry,transport,storage and post & telecommunications,wholesale and retail trades & catering industry,and other sectors of tertiary industry.) as the investigated subjects,the authors have conducted empirical study on the convergence of GDP per worker gap and the convergence of energy intensity gap with respect to the variation of GDP per worker gap,and have concluded that:First,the GDP per worker gap of the six industrial sectors and provinces are convergent,and of this,the convergence rate of GDP per worker gap of Construction Industry is the fastest,while that of Industry is the slowest.Second,the overall energy intensity gap between eastern and western provinces is convergent,that is,with the narrowing of GDP per worker gap between eastern and western provinces,the energy intensity gap converges,but its convergence rate is slower than that of GDP per worker gap.Third,energy intensity gap between various industrial sectors of the east and the west is either convergent or divergent,and there are differences.The energy intensity gap of agriculture,forestry,animal husbandry,and fisheries,industry,and construction industry is convergent,while that of the other three industrial sectors is divergent.Fourth,the convergence of the overall energy intensity of the western provinces is not in conformity with the convergence of the various industrial sectors,and there are significant differences,indicating that the western provinces and autonomous regions should take measures to more effectively improve their overall energy utilization efficiency at the industrial sector level.

Industrial Carbon Emissions Status and Analysis Based on Energy Consumption

With frequent disastrous weathers and increasingly prominent GHG effects in recent years, normal existence and development of mankind are facing unprecedented threats and challenges. GHG emissions mitigation for the global climate changes has been the focus of concern of the world. As the biggest developing country and the second largest country of carbon-emission, China attaches importance to the carbon emission reduction. The major GHG component is carbon dioxide and in China, the emission of carbon dioxide is mainly from industrial production. In the paper, the status and trend of Co2 emission from industrial departments, high-carbon emission and its specific industries are shown in statistics. Meanwhile, the policy environment, industrial organization structure and technology of carbon high emission are all discussed based on practical situations in these departments and industries. At the end, through the analysis of gray correlation, correlativity is explored for both fossil energy consumption and total carbon emission, and also for the production value and carbon emission of each industrial sector. Some policy proposals for the establishment of low-carbon industries and transition of economic development pattern are set forth.

The Construction of Intensive and Organized Agricultural Industrialization Model with Farmers as the Main Body

The current agricultural conflicts of China are analyzed and the forms and drawbacks of current agricultural industrial structure are listed.The situations for intensifying the farmland with appropriate scale are analyzed from the aspects of policy,farmers,farms and modernization of agriculture.It is pointed out that the situations for the intensive use of land are becoming mature.Taking the single pig-breeding chain as an example,the agricultural industrialization model,which takes farmers as the main body,is expounded.Besides,its functions and significance in solving "the three agriculture problems" and facilitating the modernization of agriculture are discussed.

天津市工业部门碳排放强度研究:基于LMDI-Attribution分析方法

引入对数平均迪式分解模型及其归因分析(LMDI-Attribution)方法,从细分行业角度对2000-2012年天津市工业部门的碳排放强度变化进行研究,首先对碳排放强度作产业结构、能源强度和排放因子三因素LMDI乘法分解,其后,基于三个分解因素在2000-2006年和2006-2012年两个时间段对碳排放强度下降的影响效应,对其作归因分析,量化36个细分行业对分解因素影响效应的贡献。得到以下主要结论:天津市工业部门的碳排放强度从2000-2012年累计下降了66.87%,产业结构和能源强度是其下降的主导因素,累计影响值分别为-44.53%和-47.39%,排放因子对其下降起抑制作用,累计影响值为15.39%;产业结构对碳排放强度的影响主要依赖于高耗能行业产值占比的变化,化工行业和黑色金属行业产值的占比越高,产业结构的减排效应越差,因此在调整产业结构时,应大力发展服务业和高新技术产业,严格控制高耗能行业发展;黑色金属行业和非金属矿物制品业是能源强度效应变化的主导行业,由于技术进步和能源效率的提高,黑色金属行业的负值贡献在2006-2012年相对前七年增大了2.56倍,非金属矿物制品业从最大的正值贡献行业转为第二大负值贡献行业,使得2006-2012年能源强度对碳排放强度的拉低影响相对前七年增大了近1倍;排放因子对碳排放强度下降的抑制作用在2006年之后呈现减弱的趋势,主要是因为"十一五"期间化工行业能源结构优化与能源再利用体系的建立,有效抑制了排放因子对碳排放强度的拉升作用。综上可见,黑色金属行业、化工行业和非金属矿物制品业是天津市碳排放强度分解因素变化的主要贡献行业,以这些高耗能行业为主要研究对象,根据行业特点及其所处的发展阶段,严格控制其粗放型发展、鼓励新技术研发、循环利用资源及优化用能结构等措施,针对性的制定节能减排办法,才能在保持经济快速发展的同时做到碳排放强度的降低。