Influencing factors and multi-scenario prediction of China's ecological footprint based on the STIRPAT model

Focusing on the spatial and temporal pattern, evolution law, influencing factors and prediction of regional ecological footprint (EF) is conducive to promoting sustainable development of regional populations, resources, and the environment. Firstly, this study used the EF model to analyze the spatial and temporal patterns and dynamic evolution characteristics of the total ecological footprint (TEF) and the relative contributions of the biological ecological footprint (BEF), energy ecological footprint (EEF), and pollution ecological footprint (PEF) in China from 2000 to 2019. Secondly, the impact of socioeconomic factors on China's TEF was analyzed based on the STIRPAT model. Finally, the future development trend of China's TEF was analyzed by multi-scenario prediction. The results demonstrate that: (1) from 2000 to 2019, the TEF levels of China form three gradient spaces, (2) the BEF is the biggest contributor to EF in most of China's provinces, (3) total energy consumption is the most important positive factor for China's TEF while proportion of tertiary industry in the three industries is the most important negative factor, and (4) maintaining low growth in total energy consumption and high growth in proportion of tertiary industry in the three industries is crucial for limiting the future growth of China's TEF     

Materials Metabolism Analysis of China's Highway Traffic System (HTS) for Promoting Circular Economy

With the rapid growth of highway mileage and vehicles, the Chinese highway traffic system (HTS) has become one of the great resource consumers. This article attempts to evaluate the material metabolism of China's HTS during 2001–2005 using the approach of material flow analysis (MFA) and to explore possible measures to promote circular economy throughout HTS. We measured a set of indicators to illustrate the whole material metabolism of China's HTS. The results indicated that the direct material input (DMI) of China's HTS increased from 1181.26 million tonnes (Mt) in 2001 to 1,874.57 Mt in 2005, and about 80% of DMI was accumulated in the system as infrastructure and vehicles. The domestic processed output (DPO) increased by 59.0% from 2001 to 2005. Carbon dioxide and solid waste accounted for 80.5% and 10.4% of DPO, respectively. The increase of resource consumption and pollutant emissions kept pace with the growth of transportation turnover. All these suggest that China's HTS still followed an extensive linear developing pattern with large resource consumption and heavy pollution emissions during the study period, which brought great challenges to the resources and the environment. Therefore, it's high time for China to implement a circular economy throughout the HTS by instituting resource and energy savings, by reducing emissions in the field of infrastructure construction and maintenance, by reducing vehicles’ energy and materials consumption, and by recycling waste materials.     

Evaluation of the Tire Industry of China based on Physical Input–Output Analysis

With the rapid development of the rubber industry and its downstream sectors in China, the resulting sharp increase in the number of scrap tires is creating great environmental pressure. By considering the tire production, consumption, collection, and reuse processes as a whole system of tire material flows, and based on physical input–output analysis (IOA), this article analyzes the status quo of China's tire industry and performs a comparative study between China and Europe. The study shows that the tire industry of China in 2005 and that of Europe in 1996 are similar in material‐flow characteristics. To make the best use of materials, it is necessary to strengthen the reuse of scrap tires in China. A scenario analysis is presented to show the effects of improving the reuse process from the viewpoint of IOA.     

Peak cement‐related CO2 emissions and the changes in drivers in China

In order to fight against the climate change, China has set a series of emission reduction policies for super‐emitting sectors. The cement industry is the major source of process‐related emissions, and more attention should be paid to this industry. This study calculates the process‐related, direct fossil fuel–related, and indirect electricity‐related emissions from China's cement industry. The study finds that China's cement‐related emissions peaked in 2014. The emissions are, for the first time, divided into seven parts based on the cement used in different new building types. The provincial emission analysis finds that developed provinces outsourced their cement capacities to less developed regions. This study then employs index decomposition analysis to explore the drivers of changes in China's cement‐related emissions. The results show that economic growth was the primary driver of emission growth, while emission intensity and efficiency were two offsetting factors. The changes in the construction industry's structure and improvement in efficiency were the two major drivers that contributed to the decreased emissions since 2014.     

A Study of Energy Consumption and Exhaust Emissions from Beijing's Civil Vehicles from Years 2008 to 2020

The number of Beijing's civil vehicles is growing rapidly due to the great support of the automobile industry and the Chinese government and the increasing average per capita income of China's people. Exhaust emissions from vehicles have already become the main source of Beijing's air pollution. Based on the Long-range Energy Alternatives Planning System (LEAP), this article predicts the energy consumption and exhaust emissions from Beijing's civil vehicles. Also, we estimated the reduction potentials of China's new fuel consumption standards and exhaust pollutants standards that will be implemented from 2008 to 2020. Two scenarios were developed: “Business as Usual” (BAU) and “New Standard” (NS). In the BAU scenario, the Chinese government would do nothing to improve the fuel consumption standards and exhaust pollutants standards in the future. In the NS scenario, the Chinese government would implement more strict fuel consumption standards and exhaust pollutants standards for Beijing's civil vehicles. By comparing the results of the two scenarios for year 2020, the energy consumption will experience a reduction of 7.8%, and the exhaust pollutants CO, HC, NO_X, PM, and the emissions of CO₂ would decrease by 43.3%, 36.4%, 60.3%, 81.2%, and 7.8%, respectively.     

基于专利信息分析的中国3D生物打印技术发展与产业化研究*

目的:基于专利信息对我国3D生物打印技术的发展态势进行分析。方法:本文基于incopat和TDA两大专利分析平台对中国3D生物打印的专利发展态势从专利统计分析与专利计量分析两个维度进行了跨库组合分析,总结了我国3D生物打印技术的专利前沿动态特征。结果:研究发现,中国3D生物打印技术从2013年起进入专利激增态势,中国作为潜在技术市场的国际竞争日趋激烈,本文还从专利申请人、技术领域分布、专利文本关键词聚类、专利价值、专利合作等方面进行了深度挖掘分析。结论:最后,结合对中国3D生物打印专利申请人的专利产业化案例深度分析与专利特征总结,为中国3D生物打印技术发展与产业化提供参考建议。     

The interactions among China's economic growth and its energy consumption and emissions during 1978–2007

This paper analyzes the interactions among China's economic growth and energy consumption and emissions during 1978–2007. Conventional energy and emergy are applied to quantify energy consumption and emissions’ impact respectively. Several indicators, based on emergy, energy and monetary units, are applied to depict the relationships among economic growth and energy consumption and emissions’ impact. The results show that energy consumption and emissions’ impact rise simultaneously. Therein, nonrenewable energy resources possess absolute share in total energy consumption and undertake primary responsibility for increasing emissions’ impact, and NH₃–N in wastewater leads to the most emissions’ impact on environment. Energy mix and energy efficiency and pollution control make some achievements, but their improvements fall far behind economic growth rate. As a result, the structure of China's economy has been obviously optimized; however, the improvement of the relationship between China's economy, energy and environment is far behind that of its economic structure in this period. Therefore, China will continue to face huge pressure on resources and environment its rapid economic growth brings about in future. Those study results imply that enhancing energy efficiency, optimizing economic structure and strengthening pollution control will still be the main tasks for China's governments in future.     

共享社会经济路径下中国2020—2100年碳排放预测研究

碳排放和减碳经济代价研究日益受到学术界和决策者的关注,中国政府做出的关于争取在2060年前实现碳中和的表态引起了国际社会的热议。在此背景下,开展中国未来长时间序列碳排放的情景预测具有切实意义。基于可拓展的随机性环境影响评估模型（STIRPAT）评估了人口、经济和受教育程度对碳排放的影响,对比历史数据并验证了碳排放预测模型的准确性,结合共享社会经济路径（SSPs）情景的设定和模型参数,预测了5种情景下中国2020年至2100年的碳排放轨迹及经济代价。结果表明：（1）考虑碳排放达峰目标的实现,SSP3情景是中国未来发展的最佳情景,在此情景下,中国有望提前三年实现碳排放达峰目标;（2） SSP3情景可使中国年度总碳排放量和人均碳排放量处于相对其他四种情景的最低值,但需要付出累积GDP下降5.49%至8.80%的代价;（3）为完成在2060年前实现碳中和的承诺,中国政府在未来的40年需面对409.36-467.42 Gt的碳中和量;（4）2020年中国的碳排放强度将会较2005年水平下降40.52%至41.39%,2030年碳排放强度将会较2005年水平下降59.64%至60.75%。5种情境中,SSP5情景是降低碳排放强度的最佳情景,可最大程度地超额实现碳排放强度目标。未来,受经济发展、人口增长等重要因素影响,中国政府减碳压力将进一步加大。后疫情时代,考虑到能源供应的减少和高科技产业的发展,碳排放社会成本的上升将为中国创造一个使能源系统脱碳的机遇。中国应在"十四五"期间继续提升能源利用效率、升级产业结构、提倡低碳消费、实施隐含碳战略,以尽快实现碳减排目标。     

基于MSIASM和能源消费碳排放的中国四大直辖市社会代谢分析

通过社会代谢多尺度综合评估(Multi-Scale Integrated Assessment of Societal Metabolism,MSIASM)方法,采用生物-经济压力和不同组织尺度下的体外能代谢率、能源密度指标,并将能源消费碳排放融入评估框架,评价了中国四大直辖市2004年至2010年的社会代谢及其综合发展状况。研究中能源消费碳排放的加入较好补充了MSIASM在生态评估方面的弱势。研究结果显示,四大直辖市整体社会代谢发展良好,体外能代谢率和生物-经济压力稳步上升,能源密度和单位能耗碳排放不断降低,总体呈现良性发展态势。从各个直辖市的社会经济系统各部门表现来看,各城市体现了自己的突出特点。在深入到行业尺度研究体外能代谢率、能源密度后,整体显示出控制工业部门和交通运输部门的能耗增长对于提高经济生产能源效率的突出作用,同时应继续加大金融和计算机等低能耗高经济生产率行业的发展力度。     

全球生物产业发展现状及政策启示

生物经济时代正在引发人类新一波技术和产业革命,并已成为了全球主要发达国家和新兴经济体抢占的制高点。文中从生物医药产业、转基因作物种植产业、生物能源产业以及生物基化学品产业4个角度分析了全球生物产业发展的时空特征,概括总结了全球生物产业发展的主要特点,并进一步针对我国生物产业发展中存在的瓶颈问题提出政策建议,对我国生物经济的未来发展具有指导意义。     

旅游业发展对中国碳排放的影响——基于中国东、中、西部的比较分析

在“双碳”战略目标下,深入研究中国旅游业对碳排放的影响,对科学制定减排政策,发展低碳旅游,以及应对气候变化有着重要的理论和现实意义。使用2003-2019年除港澳台和西藏之外的30个省市面板数据,从国内旅游和入境旅游的视角,结合面板单位根、协整、格兰杰因果检验,利用固定效应模型和随机效应模型探究东、中、西部旅游业发展与碳排放的关系。研究结果表明:(1)中国旅游业发展与碳排放之间均存在长期均衡关系。(2)入境旅游对碳排放不存在显著影响,国内旅游对碳排放存在显著正向影响。(3)东、中、西部地区的旅游业和碳排放关系存在差异,其中东部和中部地区国内旅游收入每提高1%将导致其碳排放总量分别增加2.313%和7.531%,而西部地区国内旅游收入提高1%将导致其碳排放总量减少1.306%。     

中国生命周期评价理论与实践研究进展及对策分析

主要分析了我国生命周期评价的理论与实践研究进展与数据库构建现状,针对当前我国生命周期评价理论与应用研究的关键薄弱环节即不确定性分析、本土化数据库构建、本土化生命周期环境影响评价模型构建,指出了利用泰勒系列展开模型进行符合我国产业链生产现状的精确、完整、具有代表性、具有时空动态特征的生命周期数据库构建的必要性;并指出需要根据我国国情(例如:环境、地理、人口、暴露等)来构建生命周期环境影响评价模型的紧迫性。     

Carbon Emission Performance of China's Power Industry: Regional Disparity and Spatial Analysis

This study employs an undesirable‐output–oriented data envelopment analysis model to measure the carbon emission performance of the power industry throughout China's 30 administrative regions during the period of 2003–2012. Also, it further studies the regional disparity and spatial correlation of the carbon emission performance of China's power industry. The main findings are as follows: (1) The carbon emission performance of China's power industry is at a relatively low level, but shows a rising trend. (2) The regional carbon emission performance of China's power industry is extremely unbalanced: The eastern area ranks first, with the highest performance of 0.851, followed by the central area, whereas the western area falls behind, with the lowest performance of 0.760. Provinces in the eastern area generally perform better than those in other areas. (3) According to spatial analysis, the global Moran's I values of carbon emission performance are significantly positive during the sample period, which indicates that the carbon emission performance is a positive spatial correlation and has an obvious clustering effect. The estimate of the local spatial autocorrelation index confirms the imbalance of spatial distribution of the power sector's carbon emission performance. Based on the above findings, several policy suggestions are presented in this article.     

CO2, economic growth,and energy consumption in China's provinces: Investigating the spatiotemporal and econometric characteristics of China's CO2 emissions

This study addresses the spatiotemporal variations at play in China's CO₂ emissions, based on an estimation of emission levels in the period 1995–2012 and an provincial analysis of the relationship of CO₂ emissions to economic growth and energy consumption. Using a series of econometric models and data on the combustion of fossil fuels and cement manufacturing, the study first estimated CO₂ emission levels during the study period, exploring their spatiotemporal pattern. The results indicate that both China's total and its per capita CO₂ emissions have increased significantly over the study period, with both measures evidencing a similar evolution (albeit one that is characterized by noticeable regional discrepancies at the provincial level and which displays properties of convergence). From a geographical perspective, we found both total and per capita CO₂ emissionsto be higher in China's eastern region than in the country's central and western regions. Panel data analysis was subsequently undertaken in order to quantify the dynamic casual relationship between economic growth, energy consumption, and CO₂ emissions. The empirical results indicated that the variables were in fact cointegrated and exhibited a long-run positive relationship. The results of further Granger causality tests indicated the existence of a bidirectional positive causality between economic growth and energy consumption, as well as between energy consumption and CO₂ emissions, and a unidirectional positive causality running from economic growth to CO₂ emissions. The findings of this study suggest that China is, in the long run, dependent on carbon energy consumption for its rapid economic growth, a dependency which is the cause of considerable increases in CO₂ emissions. China should therefore make greater efforts to develop low-carbon technologies and renewable energy, and improve energy efficiency in order to reduce emissions and achieve green economic growth.     

中国旅游业碳排放效率趋同演变及其趋势预测

低碳旅游是实现旅游业可持续发展的必然之路,准确把握中国旅游业碳排放效率趋同演变及其发展趋势,对中国“双碳”目标的实现具有重要的意义。基于超效率—SBM模型对2009—2019年中国旅游业碳排放效率科学测度,再采用空间自相关分析与时空Markov链,检验其趋同效应并深入探析其时空趋同特征,最后结合Markov链的无限分布矩阵,科学预测中国旅游业碳排放效率的发展趋势。结果表明：(1)时间特征上,2009—2019年中国旅游业碳排放效率呈“过山车式”波动上升态势,东部效率均值大于西部大于中部。研究期内效率均呈显著的俱乐部趋同分布,从2009—2014年偏向于较低效率“单峰”趋同向2015—2019年偏向于低效率和高效率的“双峰”趋同演变,且相邻效率等级俱乐部更容易发生转移,其中后期比前期的俱乐部趋同效应更强。(2)空间特征上,不同空间滞后条件下,中国旅游业碳排放效率均呈显著的俱乐部趋同分布,但趋同程度随滞后水平的提升有所减弱。空间滞后水平越高,效率向上转移可能性越大。(3)省域效率转移上,大多中西部省份效率保持平稳,但部分沿海发达省份和西部省份实现向上转移,仅少数中东部省份向下转移。(4)省...     

Panel semiparametric quantile regression neural network for electricity consumption forecasting

Addressing the forecasting issues is one of the core objectives of developing and restructuring of electric power industry in China. However, there are not enough efforts that have been made to develop an accurate electricity consumption forecasting procedure. In this paper, a panel semiparametric quantile regression neural network (PSQRNN) is developed by combining an artificial neural network and semiparametric quantile regression for panel data. By embedding penalized quantile regression with least absolute shrinkage and selection operator (LASSO), ridge regression and backpropagation, PSQRNN keeps the flexibility of nonparametric models and the interpretability of parametric models simultaneously. The prediction accuracy is evaluated based on China's electricity consumption data set, and the results indicate that PSQRNN performs better compared with three benchmark methods including BP neural network (BP), Support Vector Machine (SVM) and Quantile Regression Neural Network (QRNN).     

中国海岸带围垦遥感分析

海岸带围垦是沿海区域缓解人口增长与城镇扩张所带来土地压力的重要途径和方式。建国以来,中国大陆沿海围垦大量滨海湿地以满足社会经济发展所导致的土地需求,对滨海湿地的资源、生态和环境造成影响和胁迫。为掌握近35年来中国大陆沿海地区的围填海状况,以5a为间隔,选取1985—2010年间Landsat系列卫星影像数据,基于遥感与GIS技术,解译6个年份的围垦岸线,计算分析围垦面积,研究并提出围垦强度系数。结果表明,1985—2010年,中国大陆沿海共围垦土地755183 hm~2,年均围垦30207 hm~2,围垦强度达到1.7 hm~2a~(-1)km~(-1),围垦总量趋势表现先减少后增加。环渤海经济圈与长三角经济圈围垦强度最大,其围垦总量占到全国总体的85.7%。围垦的时空分布及其利用形式受沿海区域自然地理条件和地区经济发展水平的制约和影响。     

基于生态系统服务理论的中国绿色经济转型预测分析

着眼于中国绿色经济转型之路的科学预测与分析,借鉴传统环境负荷模型以及资源与经济脱钩理论、区位熵理论等,提出基于生态系统服务理论的有关绿色经济指标评价模型。应用该模型计算出2001—2010年全球及中国有关绿色经济指标,依照未来中国经济与社会发展规划目标,预计"十二五"末期中国经济发展中的资源消耗及环境损失成本、人均绿色GDP将分别达到3.11×1012美元、0.37×104美元,生态负荷强度、资源脱钩指数及绿色GDP的区位熵指数分别为0.38、0.66、75;2020年中国绿色GDP的区位熵指数将超越全球平均水平、2024年人均GDP将突破1万美元关口步入中等发达国家行列。计算结果表明中国生态系统压力逐年降低、资源利用效率、环境绩效与经济效益同步提高,逐渐在全球经济绿色转型过程中发挥重要作用;未来,中国仍需秉承"共同但有区别的责任"原则,处理好与其他国家的权责纷争;同时积极推进节能减排、经济结构调整工作,进一步协调好城乡之间、区域之间经济社会发展与自然资源及生态环境的关系。     

持续城镇化对中国推进实施联合国可持续发展目标的作用

中国过去40年城镇化发展迅速,从数字指标上看,不仅走过了一条迅速提升工业化水平的道路,也走过了一条快速城镇化道路。然而,中国城镇化发展重"量"而轻"质",偏重于城镇数量增多和城镇化速度的提升,而对城镇化的质量和效益的提升、人民生活水平和文明程度的共同提高、资源生态环境的保护、城镇就业、第三产业发展等城镇化的本质问题关注不够。2015年,联合国通过的2030年全球可持续发展目标(SDGs)明确要求建设包容、安全、有抵御灾害能力和可持续的城市和人类住区,中国新型城镇化应以可持续发展目标为导向,如何将SDGs的具体要求用于中国新型城镇化的发展显得尤为重要。为此需要构建城市可持续发展水平评估机制,测评中国城市可持续发展目标实施状况;通过推进城市绿色创新实践,拓宽中国城市可持续发展目标践行路径。     

China's jurisdiction over its offshore petroleum resources

Abstract

The recent promulgation of China's offshore petroleum regulations has attracted worldwide attention. The law is of particular importance to foreign investors due to possible massive involvement of foreign interests in China's biggest oil venture. However, the success of this multi‐billion‐dollar offshore oil development program hinges on a single issue: to what extent does China have the sovereign rights over its offshore mineral resources?

The aim of the present paper is to: (1) Review China's position on the continental shelf regime; (2) Discuss China's maritime boundary problems with its coastal neighbors in light of the new law of the sea; (3) Analyze China's options under the status quo in the region; and (4) Note briefly China's oil development policy based on the new offshore regulations.