大气环境约束下的中国煤炭消费总量控制研究

煤炭消费过程中排放的大气污染物已成为我国大气污染的重要来源。本文采用WRF-CAMx 空气质量模型定量分析了煤炭消费- 污染物排放- 空气质量之间的影响关系,基于情景分析方法,研究了2020 年、2030年空气质量改善需求对地区大气污染物排放总量与煤炭消费总量的约束作用。在此基础上,结合重点地区行业发展与能源供需等因素,提出各省煤炭消费总量控制目标与控煤对策建议。研究结果表明,要实现2020 年、2030 年空气质量改善阶段性目标,全国煤炭消费总量应分别控制在40.8 亿吨和37.7 亿吨左右,京津冀鲁豫等11 个重点省份2020 年煤炭消费量应控制在15.8 亿吨、2030 年控制在13.1 亿吨,全国煤炭清洁化利用水平需要在当前基础上大幅度提升。     

考虑“水—土—能—碳”关联的我国工农业碳排放效率及减排潜力研究

考虑“水—土—能—碳”关联，本文将水土资源要素纳入投入变量，构建了我国工农业碳排放效率投入产出测度指标，运用考虑非期望产出的SBM-undesirable模型计算我国29个省份2004—2017年农业、工业部门碳排放效率，利用乘法逆转法计算碳减排潜力并对影响碳排放的投入产出因素进行分析。结果表明：研究期内我国整体农业、工业碳排放效率均呈波动下降趋势，各年的农业碳排放效率均高于工业碳排放效率，江苏、山东等7省份农业碳排放效率以及北京、天津工业碳排放效率最优；各省份农业、工业减排潜力和规模具有显著差异，山西、甘肃的农业、工业碳减排均具有较大潜力；我国绝大多数省份均存在农业、工业的资源能源投入冗余和非期望产出冗余，土地资源投入过剩是影响农业碳排放效率的最重要因素，水资源投入过剩是影响工业碳排放效率的最重要因素。碳排放效率较低省份应积极开展技术创新，发展低碳技术，提高水土资源和能源利用效率，减少碳排放。     

我国区域空气污染治理效率及其影响机制——基于超效率SBM模型和门槛回归模型

随着人民对美好生活需求的日益增长,政府空气污染治理的效率问题日益得到重视。本文从地方政府空气污染治理效率及其影响因素的视角入手,以全国30个省份为研究对象,运用超效率SBM模型测算2003—2015年各省级区域的空气污染治理效率。在此基础上,运用门槛回归模型分析政府空气污染治理效率的影响机制。研究表明:①地区间空气污染治理效率差异性较为显著。中部、西部空气污染治理效率整体呈下降趋势。东部和东北地区空气污染治理效率则上升比较平稳。②政策规划、碳源、污染物排放和环境治理投入表现出双重门槛特征,其中碳源对空气污染治理效率影响显著,而以碳为首的能源消费结构则主要对中部和西部空气污染治理效率产生影响。落后地区政府应注重产业升级,财政上应对碳税等税目进行征收,产业上应鼓励企业创新,并对落后企业进行倒逼升级。     

对燃油征税的区域能源环境影响研究:以中国为例

控制汽柴油消费对中国的能源安全和环境保护有着重要意义.燃油税和碳税是中国近期两种主要的已经或可能施加于燃油的税收政策.以自回归分布滞后模型为核心,本研究构建了一个燃油税和碳税的区域能源环境影响评估模型.利用模型估计了我国的燃油需求价格弹性,测算了燃油需求响应,计算了在相同CO2减排目标下,提高汽油消费税、提高柴油消费税、引入碳税三种政策情景下各省份预计产生的节能效应、减排效应和税收效益.研究结果显示,在相同的CO2减排目标下,第一,在不同情景下,各省份节能程度差异均有限,但节能数量均体现出区域匹配性,燃油消费越多的省份,节能数量一般越多,且提高汽油消费税的全国节能总量最大;第二,在引入碳税情景下,各省份CO2减排比例差异最小;第三,在全国层面,三种政策情景中空气污染物(PM2.5和NOx和SO2)减排数量均为提高汽油消费税>引入碳税>提高柴油消费税,但在提高柴油消费税情景下,有4/5的省份预计PM2.5排放减少程度超过14%.除此之外,提高汽油消费税的税收收益最大.     

中原经济区能源消费视角下的大气环境压力评估

研究以能源消费模式为切入点,分析中原经济区能源消费总量、消费结构和利用效率的现状水平,并分析能源消费引起的大气环境压力状况。基于经济发展速度调控及节能减排力度的不同,设置2020年三种能源消费情景,使用区域能源消费总量优化模型模拟预测不同情景下的能源消费总量,并分析不同情景下的大气环境压力。结果表明,快速发展和适度发展Ⅰ情景下,2020年区域能源消费总量将比2012年增加4.2×10~8tce和2.4×10~8tce,煤炭消费总量将增加3.1×10~8tce和1.2×10~8tce,大气污染物排放压力增加30%和50%;适度发展Ⅱ情景下,能源消费总量将增加0.2×10~8tce,煤炭消费总量将下降0.3×10~8tce,大气污染物排放压力将降低20%。因此,要实现经济发展稳步增长(年均增长率7.7%)和大气污染物排放总量削减10%目标,重中之重是实现煤炭消费总量"零增长"或"负增长",同时力争能源消费总量控制在5×10~8~6×10~8tce,凭借煤炭占比大幅下降(降至65%左右)最大限度发挥能源供给领域节能效应,依靠产业结构升级节能效应和技术节能拓展能源消费领域节能空间,将能效水平提高至0.6tce/万元以下。     

中国消费中长期发展趋势及能源环境效应研究

随着消费在经济发展中的比重逐步增加,其引致的能源消耗和污染物排放越来越不容忽视。本研究基于投入产出模型,分别测算了居民消费引致的直接和间接能源消耗与污染物排放,然后参考发达国家相应发展阶段的居民消费结构,展望未来居民消费发展趋势,进一步测算未来居民消费的能源与环境效应。未来我国消费占GDP的比重将稳步上升,到2050年逐步提高到70%以上;居民消费结构将显著调整,食品占比显著下降,仅为15%,文教娱乐、医疗保健和其他服务占比显著上升;居民消费引致的一次能源需求到2050年将达到30.4亿吨标煤,占全社会能源需求的52.4%;化学需氧量、氨氮、二氧化硫和氮氧化物排放量将分别达到2497万t、261万t、1722万t、1157万t,占全社会污染物排放产生量的60%以上。研究表明,进一步强化居民消费产品绿色低碳发展、优化居民消费结构,将成为未来推进我国高质量发展和污染防治的重要领域。     

中央环保绩效考核对地方二氧化硫排放量的影响：基于“十一五”与“十二五”时期的检验

基于"十一五"和"十二五"期间(2006—2015)我国31个省份的面板数据,以二氧化硫排放量为研究对象,发现以环境约束性指标为抓手的环保绩效考核有效减少了地方的二氧化硫排放量,且"十二五"期间的政策驱动力比"十一五"期间更强。随着环保绩效考核的持续推进,年轻的省委书记越来越关注污染减排,但与年长的省委书记相比,环境绩效依然较差。总体来说,官员异质性对环境政策执行效果的影响正在逐渐减弱,制度化机制对地方环境治理的驱动效果正在增强。在"十四五"期间,进一步优化中央环保绩效考核制度将成为"打赢蓝天保卫战"的关键所在。     

中国城镇居民食物消费碳排放的时空演变特征分析

本文运用碳折算系数法和投入产出模型测算了1990—2018年中国30个省(区、市)城镇居民食物消费的人均直接碳排放、人均家庭间接碳排放和人均产业间接碳排放,并运用探索性空间数据分析(ESDA)对总碳排放的空间特征进行分析。研究表明:1990—2018年中国30个省(区、市)人均间接碳排放在研究期内呈增长趋势,人均产业碳排放增长幅度最大且始终处于主导地位,大部分地区的人均直接碳排放增长较为缓慢;人均碳排放和总碳排放都呈显著增长趋势,人均碳排放的增长幅度宁夏>新疆>上海>浙江>青海>北京,甘肃最小,总碳排放增长幅度广东>浙江>山东>江苏>河北>上海,吉林最低;总碳排放在大部分年份呈正的空间相关性,整体上呈"M"形波动;局部空间自相关分析结果表明,食物消费总碳排放存在高高型和低高型两种,且2000年及以后高高型稳定在上海、江苏、浙江地区。最后,本文依据实证结果对如何降低城镇居民食物消费碳排放提出了相应的政策建议。     

基于超效率DEA模型的中国能源效率测算与实证研究

随着城市化和工业化进程的加快,在能源需求量日益扩大的同时,二氧化碳排放量也快速增长,中国面临着越来越严峻的能源和环境形势。为了实现“十二五”规划节能减排目标及2030 年实现碳峰值的承诺,提高能源效率和碳减排成为了我国经济发展的当务之急。本文选取与能源效率存在密切关系的产业结构、技术进步、能源消费结构和经济发展水平作为主要影响因素,基于超效率DEA 模型对中国1980-2011 年的能源效率进行了测算,利用VEC 模型分析发现能源效率与产业结构、技术进步、能源消费结构和经济发展水平之间存在长期的协整关系;同时,在此基础上利用脉冲响应函数和方差分解模型就我国能源效率与其影响因素之间的短期动态关系作进一步分析,结果显示,产业结构、能源消费结构、技术进步对能源效率得提升有积极的正效应,而经济发展水平对其有一定的负面影响,从各因素对能源效率的贡献百分比来看, 产业结构比例对能源效率的贡献最大, 然后依次是经济发展水平、能源消费结构和技术进步。最后结合以上分析,从加大研发收入、调整产业结构、优化能源消费结构、提升技术利用水平、发展清洁能源技术、推广新能源使用与技术扩散能方面提出了可行性建议与对策。     

Quantification of Chinese steel cycle flow: Historical status and future options

China is the largest steel producer and consumer around the world. Quantifying the Chinese steel flow from cradle to grave can assist this industry to fully understand its historical status and future options on production route transformation, capacity planning, scrap availability, resource and energy consumption. With the help of the systematic methods combined dynamic MFA (material flow analysis) with scenario analysis, the Chinese steel cycle during the first half of the 21st century was quantified and several thought-provoking conclusions were draw. In the past decade, lots of pig iron or molten iron was fed into EAF (electric arc furnace) and the scrap usage of EAF fluctuated slightly. Thus, the real scrap-EAF route share is much lower than the EAF production share. On the other hand, we reconfirmed that the scrap supply in China will rise significantly in the future. Meanwhile, the secondary production route share will grow sharply and exceed primary production share before or after 2050 depending on our options. The scrap recycling rate and construction's lifetime play a vital role in this trend. In the end, an intensive discussion on production capacities’ adjustment and energy and resource consumption was conducted and relative policy suggestions were given. It is worth noting that scrap usage is crucial to future energy saving and emissions reduction of Chinese steel sector and its energy consumption might peak as early as 2015.     

Assessment of physical economy through economy-wide material flow analysis in developing Uzbekistan

In this paper, we assess the physical dimensions of Uzbekistan's economy during 1992–2011 by using the economy-wide material flow analysis (EW-MFA) method, which is an internationally recognized tool for such assessments. There have been a number of studies using methodological standardization of EW-MFA, but to the best of our knowledge, it has never been used to assess the metabolism of Central Asian economies, especially, in this case, the Republic of Uzbekistan.Our analysis strives to empirically evaluate macroscopic economic activities by considering the accounting of material flows. The material flows data-set comprises of consistent data for domestic extraction, imports, and exports, as well as other derived MFA-based indicators.The derived indicators are internationally compared for further evaluation of national economic development performance in a given period. The indicators of direct material input (DMI) and total material requirements (TMR) showed a slight increase in 1992–2011 with an average annual increase of 2.79% and 2.34%. The trends of TMR, DMI, domestic material consumption (DMC) and material efficiency, which is indicated by GDP/DMI, displayed lower values than other industrialized countries referenced in the international comparison. Although national economic performance data showed particularly remarkable success, indicators measuring material inputs and DMC reveal an insignificant increase during the period of study. During the second decade of study period, relative decoupling has occurred which indicated that the economic indicator (GDP) grows faster than DMC and other macro indicators grow.     

“土壤污染防治面临两大挑战”——专访中国科学院南京分院院长周健民

<正>2016年,国务院印发了《土壤污染防治行动计划》(以下简称"土十条")。这是我国土壤环境管理历史上里程碑式的文件。在中国科学院南京分院院长周健民看来,土壤污染具有长期性、复杂性和潜伏性的特点,所以其修复过程比大气和水污染治理所需技术更为综合、时间更为漫长。"土壤污染治理面临两大挑战:一是土壤污染的底数不清,我们还没建立起详细而完整的地块污染数据库;     

Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm

The iron and steel industry plays a fundamental role in a country's national economy, especially in developing countries. China is the largest iron ore consumption market in the world. However, because of limited domestic iron ore resources, a large proportion of iron ore is imported from other countries. Faced with the conflict between the iron ore supply shortage and the growing demand, it is necessary for the government to predict imports and total consumption. This paper develops a high-precision hybrid model based on grey prediction and rolling mechanism optimized by particle swarm optimization algorithm. We use the China Statistical Yearbook (1996–2011) as our database to test the efficiency and accuracy of the proposed method. According to the experimental results, the proposed new method clearly can improve the prediction accuracy of the original grey model. Future projections have also been done for iron ore imports and total consumption in China in the next five years.     

Energy Consumption in the Turkish Industrial Sector

Turkey's primary energy resources seem limited as indigenous energy production meets nearly 31 % of the total primary energy demand. But the growth of Turkey's industry gives rise to a substantial increase in energy demand. Final energy consumption grew from 52.6 Mtoe (million tons of oil equivalent) in the year 1990 to 78.4 Mtoe in the year 2002. Industrial demand accounts for about 41.6 % of the final energy demand in Turkey. Basic metal industries, non-metallic material products and chemical and petroleum products have the highest energy consumption in industrial sector. In this work, industrial energy consumption and energy consumption of different indsutrial subsectors in Turkey are investigated.     

Implementation of US Surface Mine and Reclamation Act

The US Congress is currently studying various ways through which legislation similar to that of the Surface Mining Control and Reclamation Act of 1977— which is concerned mainly with coal, can be applied to all minerals other than coal. This study analyses three US mineral industries—copper, iron ore, and phosphate rock - and identifies a number of areas which Congress and other decision makers ought to consider in arriving at such legislation. The author concludes that reclamation costs may affect the economic and financial performance of each of these industries in a different manner; furthermore, their economic behaviour is significantly different from that of coal. The author's main recommendation is that if surface mining regulations are to be legislated, they should be industry- and commodity-specific rather than umbrella legislation for all non-coal minerals.     

Energy consumption and carbon emission for tourism transport in World Heritage Sites: a case of the Wulingyuan area in China

Transport profoundly affects energy use and carbon dioxide emissions in the tourism sector. The Wulingyuan Scenic Area (WSA), a natural heritage destination in China, is chosen for the case study. The energy consumption and carbon emission of 10 types of tourism transportation modes at the destination are measured and analyzed using a bottom‐up approach for the period of 1979 to 2010. Scenarios were created to project the effects of single and multiple factors on energy consumption and carbon emission by tourism transportation during 2011‐2020. The results showed the following: (a) there is a large difference in energy consumption and carbon emission per capita and per kilometer per capita among the 10 vehicle modes; (b) the monthly energy consumption and carbon emission of tourism transportation differed significantly, the month with the highest (October) are respectively 6.8 and 4 times that of the lowest month (January); (c) the highest annual growth rate of energy consumption and carbon emission are respectively as 32.16% and 27.98% during 1979‐2010; and (d) the amount of energy consumption and carbon emission in the multiple factor scenarios are lower than that in the reference and single factor scenarios during 2011‐2020.     

Development Potentials and Policy Options of Biomass in China

Biomass, one of the most important renewable energies, is playing and will continue to play an important role in the future energy structure of the world. This article aims to analyze the position and role, assess the resource availability, discuss the geographic distribution, market scale and industry development, and present the policy options of biomass in China. The resource availability and geographical distribution of biomass byproducts are assessed in terms of crop residues, manure, forest and wood biomass byproducts, municipal waste and wastewater. The position of biomass use for power generation is just next to hydropower among types of renewable energy in China. The potential quantity of all biomass byproducts energy in 2004 is 3511 Mtce (Mtce is the abbreviation of million tons of coal equivalents and 1 Mtce is equal to10⁶ tce.), while the acquirable quantity is 460 Mtce. Biomass energy plays a critical role in rural regions of China. The geographical distribution and quantity of biomass byproducts resources depends mainly on the relationship between ecological zones and climate conditions. Our estimation shows that the total quantity of crop residues, manure, forest and wood biomass byproducts, municipal waste and wastewater resources are 728, 3926, 2175, 155 and 48240 Mt (million tons), respectively. Crop residues come mainly from the provinces of Henan, Shandong, Heilongjiang, Jilin and Sichuan. All manure is mainly located in the provinces of Henan, Shandong, Sichuan, Hebei and Hunan. Forest and wood biomass byproducts are mainly produced in the provinces or autonomous regions of Tibet, Sichuan, Yunnan, Heilongjiang and Inner Mongolia, while most of municipal waste mainly comes from Guangdong, Shandong, Heilongjiang, Hubei and Jiangsu. Most of wastewater is largely discharged from advanced provinces like Guangdong, Jiangsu, Zhejiang, Shandong and Henan. Biomass byproducts’ energy distribution also varies from province to province in China. Based on the analysis of the market scale and industry development, the article argues that China’s biomass energy industry is still at a very early stage of development and that Feed-in Tariffs (FIT) might be the best policy option for China to promote its development of biomass energy. A successful enforcement of FIT in China needs some policy combination of special capital subsidies, R&D funding, tax incentives and pricing.     

中国能源生态足迹的时空动态特征及效应分析

运用生态足迹方法计算出1990—2007年中国能源消费的生态足迹。在此基础上,分析了能源足迹强度(EFI)、能源足迹生态压力(EPIEF)的时空动态变化特征。结果表明,近20年来我国能源足迹波动上升,能源消费结构有所改善,但煤炭足迹仍占主导,近几年又有回升趋势;能源足迹强度呈幂指数衰减,能源利用效率不断提高;EPIEF呈上升趋势,说明能源利用对自然生态系统的压力逐渐增大。在空间分布上,各省区能源足迹差异显著,能源足迹强度由西向东逐渐降低,而EPIEF则由西向东呈增大趋势。依据EPIEF指数将中国30个省区划分为能源足迹生态盈余区(EPIEF1)、生态轻度亏损区(1EPIEF5)和生态严重亏损区(EPIEF5)3种类型。     

可持续发展理念下的能源产业战略

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基于SML指数的环境回弹效应分析：模型与测算

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