中国2020年碳减排目标下若干关键经济指标研究

《国民经济和社会发展第十二个五年规划纲要》将能源消耗强度和CO2排放强度作为约束性指标。实现2020年单位GDP碳排放强度下降40-45%的自主减排目标是中国今后发展的战略性任务。"十一五"期间,中国以能源消费年均6.6%的增速支撑了国民经济年均11.2%的增长,累计节能量达到6.3亿t标煤,CO2减排量达到14.6亿t,为全球应对气候变化做出了积极贡献。但单位GDP的能耗强度和碳强度下降与温室气体排放总量的上升还将是中国当前和未来很长时期温室气体排放的主要特征。根据历史数据分析,GDP增长、经济结构、产业结构、能源结构等都会对中国的碳减排产生重要影响。GDP增速高必然呈现高能耗、高排放的特征。经济结构方面,影响能耗和碳排放的是GDP(最终需求)的组成变化,即消费、投资和净出口的变化。由于第二产业在国民经济中所占的较大比重以及重化工产业长期存在,除了继续依靠技术进步提高能源使用效率外,必须重视产业结构调整对降低碳排放强度的贡献。能源结构对节能和碳减排的影响集中体现在资源禀赋不平衡、供需分布不平衡、消费种类不平衡。文章提出实现碳减排目标,必须控制和达到以下关键指标:控制GDP增速在6-8%之间;调整出口结构,提升服务贸易比重至30%左右;提高第三产业比例至47%以上,控制高能耗工业比重在22%以下;提高非化石能源比重至15%。此外,实现碳减排目标还必须:充分认识碳减排对转方式、调结构的重要意义;切实加强对不同区域碳减排工作的分类指导;提前部署重大低碳技术和重点领域技术研发;大力倡导绿色低碳消费和生活方式等。研究表明,中国实现2020年CO2自主减排目标还需付出更大的努力。     

中国各省区单位GDP/IAV能耗强度结构模型

选取2007年中国各省市自治区单位GDP能耗、单位工业增加值能耗和相关的经济指标数据，从经济发展、能源工业产值占相应省区GDP的比重等方面分析了2007年中国各省市区能耗现状，结果发现：我国经济较发达的省区单位GDP能耗和单位工业增加值能耗较低，经济较落后的省区这两种能耗指标较高；能源工业产值占相应省区GDP的比重越大，这两种能耗指标值越大。由此建立单位GDP能耗或单位IAV能耗与经济发展水平、能源工业产值占相应省区GDP的比重三者之间的结构模型，同时基于单位GDP能耗和单位IAV能耗，分别将中国各省区分为4种类型，并构建了二维矩阵表，据此对其产生的原因进行了分析，并提出建议。     

新疆能源强度影响因素及其治理策略

在发展低碳经济的趋势下,新疆过高的能源强度成为其自身发展和全国节能工作的"短板",会给我国的节能减排工作造成越来越难以解决的障碍,因此新疆面临严峻的节能减排挑战。能源强度(单位GDP能耗)是一个地区能源综合利用效率指标,受到多方面因素的影响。本文编制了1992、1997、2002和2007年新疆30部门能源投入产出表,采用投入产出结构分解方法(SDA),全面并深入分析GDP变动、单位产出能耗(即直接能源消耗系数)、技术变动和最终需求(包括消费规模、消费结构、投资规模、投资结构和净出口)变动对新疆生产能源强度的影响效应,并基于节能降耗角度分析技术变动和最终需求对产业结构变动的影响效应。结果表明:1992-2007年技术变动、消费规模、消费结构、投资规模和投资结构均对新疆生产能源强度的降低起抑制作用,并推动了产业结构中低能耗部门比重的下降。最后结合测算结果与新疆资源经济的特殊性,从技术投入、投资与消费引导以及民生扶持等方面提出了新疆能源强度治理策略建议。     

China＇s Export Expansion, Export Structure and Energy Consumption

Since the reform and opening up, China＇s export trade has maintained a rapid growth; meanwhile, China＇s energy consumption has been increasing sharply. ＂High export and high energy consumption＂ has become the feature of China＇s trade and economic development. In this paper, based on the input-output analysis approach, the authors have conducted an empirical study on the export trade and energy consumption of 21 trade industrial sectors. The results show that, China is a big net exporter of embodied energy. Assuming that the export growth rate of embodied energy maintains to be about 23.6%, the average annual growth rate of the past 32 years, and based on the input-output data of 2005, by 2030 China＇s net export of embodied energy would be over eight times more than the aggregate energy production, which is obviously infeasible. As a country of very low per capita en- ergy, China must change its export pattern, encourage or restrain the export of different industrial sectors according to their energy consumption intensity, and promote structural change of energy- efficient exported products, so as to achieve the sustainable development. Accordingly, the authors put forward some suggestions.     

山东省经济发展与环境保护关系的计量分析

经济增长与环境污染之间的关系常用环境库兹涅茨曲线（EKC）来描述。典型的EKC一般量倒U形。本文选取1988-2002年的山东省环境与经济数据．建立单位GDP污染排放量横型和人均GDP污染排放量模型,对山东省经济发展与环境保护之间的关系进行了计量与分析。通过单位GDP污染负荷模型分析发现。单位GDP的污染负荷量下降态势。这说明山东省产业结构调整已产生明显成效。通过人均GDP污染排放量模型发现．山东省的EKC不完全符合典型的库兹涅茨曲线特征。呈显着的三次曲线特点。其中,工业废水曲线为“U＋倒U”形．两个转折点的理论计算值分别为3416元和9975元。废气与固废曲线近似于倒U形EKC的左半部分．尚来到达转折点。由此可见．环境质量的改善并非随着收入水平的提高而自动发生。除了收入因素。影响山东省EKC的因素还有国家或地区的环境政策、工业化进程等。     

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.     

中美两国经济发展与铜消费量对比研究

发达国家的发展过程表明,经济增长与铜消费量密切相关。本文由IPAT方程推导了铜消费指标与GDP间的关系式,得出GDP的年增长率（g）的单位GDP铜消费量的年下降率（t）是影响铜消费量变化的两个重要参数。给出了中、美两国铜消费指标与GDP间的关系曲线;中国1960-2004年间单位GDP的铜消费量并未形成明显的上升或下降趋势;美国1941-2004年间单位GDP铜消费量的变化总体上逐年降低,1941年为17.80kg/10^4USD,2003年为2.56kg/10^4USD,单位GDP的铜消费量降低近7倍。对应不同的单位GDP铜消费量年下降率的假设,估计了未来25年内中国经济增长与铜消费指标间的关系以及单位GDP铜消费量降低的倍数。     

China’s Export Expansion, Export Structure and Energy Consumption

Since the reform and opening up,China’s export trade has maintained a rapid growth;meanwhile,China’s energy consumption has been increasing sharply. "High export and high energy consumption" has become the feature of China’s trade and economic development.In this paper,based on the input-output analysis approach,the authors have conducted an empirical study on the export trade and energy consumption of 21 trade industrial sectors.The results show that,China is a big net exporter of embodied energy.Assuming that the export growth rate of embodied energy maintains to be about 23.6%,the average annual growth rate of the past 32 years,and based on the input-output data of 2005,by 2030 China’s net export of embodied energy would be over eight times more than the aggregate energy production,which is obviously infeasible.As a country of very low per capita energy,China must change its export pattern,encourage or restrain the export of different industrial sectors according to their energy consumption intensity,and promote structural change of energy-efficient exported products,so as to achieve the sustainable development.Accordingly,the authors put forward some suggestions.     

绿色低碳背景下中国产业结构调整分析

中国作为世界第一的一次能源消费国以及最大的二氧化碳排放国,在巴黎世界气候大会上承诺于2030年以前单位碳强度较2005年降低60%—65%;此外,在《"十三五"规划纲要》中中国政府也明确提出,在"十三五"时期,碳排放强度较2005年基础上降低40%—45%的目标。在此背景下,本文基于最新的投入产出表构建了产业结构优化模型。通过行业的生产结构矩阵,构建出行业的能源结构消耗矩阵及碳排结构矩阵,旨在能源消耗量与二氧化碳排放量的双重约束下,得到中国2020年最优的产业结构调整方案,并计算了基于现有科技水平下中国最大的碳排潜力。线性规划的结果显示:(1)中国2020年最优的产业结构调整方案可以满足国民经济总产出量最大化的目标,年均增长约为8%;且相比目标年份(2005年)二氧化碳强度下降46.93%,能源强度下降26.04%,达到"十三五"规划中的气候变化目标。在保证经济最低增速(6.5%)的前提下,中国二氧化碳的排放总量可以比优化方案再多下降约14%。(2)建筑业、交通运输及仓储业仍然是中国重要的支柱产业,在国民经济整体的占比份额仍需扩大。(3)从生产的角度看,中国产业结构必须全面向第三产业服务业转型,全面提高国民经济中第三产业的比重,尤其是加大生活服务业类部门的产出量。(4)为了满足"绿色、低碳"的约束限制,半数以上的二产部门的生产规模都应有所降低,尤其是能源部门和金属加工业部门。     

长江经济带碳排放现状及未来碳减排

长江经济带是我国"三大支撑带"之一,其碳减排目标实现对我国生态文明建设具有重要意义。采用2005~2013年长江经济带(含9省2市)的能源消耗与经济社会数据,通过数理统计,得出各地历年碳排放量、人均碳排放、能源强度、产业结构多元水平的具体数值及变化率,结合运用弹性计算和矩阵分类法,发现长江经济带碳排放存在空间与结构差异。研究结果显示:(1)长江经济带碳排放及增长率、人均碳排放及增长率、能源强度都高于全国平均水平,能源强度下降率低于全国平均水平;把长江经济带分为东中西三段区域,碳排放总量、人均碳排放及能源强度下降率梯度下降,碳排放增长率、人均碳排放增长率、能源强度梯度上升。(2)工业化开始越早、重工业化主导向生产性服务业主导转变越快、越充分地区,经济低碳化水平越高;通过提升产业结构多元化速度有利于碳减排。(3)长江经济带各地实现碳减排措施应有不同,东段地区应着重降低人均碳排放,中西段地区应着重于降低能源强度。(4)未来碳减排应兼顾公平与效率,各地区碳减排目标分配应结合各地支付能力、碳汇能力、生产效率、能源结构等因素来安排。     

云南省能源消费及二氧化碳排放分析

根据云南省能源消费量,计算了由能源消费产生的CO2排放量及单位GDP碳排放强度。结果表明:近10年来,随着社会经济的快速发展,云南省能源消费及能源消费导致的CO2排放总量也呈现出显著上升的趋势。云南的碳排放强度高于全国平均水平,但人均碳排放量低于全国平均水平。以工业为主的第二产业是能源消费及碳排放的主体,其碳排放占总量的75%。     

天津市工业行业全要素能源效率变动的影响因素分析

天津市作为一个典型的工业城市,工业行业能源效率水平决定了其能否完成"十二五"期间单位生产总值能耗比"十一五"末下降18%的国家节能降耗考核目标。正确把握影响工业行业能源效率变动的因素是天津市寻求节能降耗途径的关键。本文以1998-2008年天津市工业行业的能源消耗面板数据为样本,通过引入非参数Malmquist生产率指数,从技术进步、纯技术效率和规模效率指数角度分析天津市工业行业全要素能源效率变化情况,并运用Tobit模型估计工业化水平、工业内部结构、技术进步、产权结构、政府影响力、进出口贸易和能源消费结构等要素对工业行业全要素能源效率变化的影响程度。研究表明:1998-2008年期间,天津市工业行业间的能源效率差异显著,整体全要素能源效率不断提高,技术进步是其提高的主要原因,但技术效率表现为负增长;工业化水平、技术进步、进出口贸易和能源消费结构的调整对工业行业能源效率的提升具有不同程度的促进作用,但重工业和国有经济比重的增加及政府对能源市场的干预对能源效率的提升起负向作用。因此,天津市工业行业能源效率的进一步提高,需要大力开发、推广和使用先进技术及设备,加强对外开放力度,降低重工业和国有经济比重,充分发挥市场调节能源配置的优势。     

中国工业绿化度测算及影响因素研究

工业生产是现代物质财富的主要来源,同时也是带来环境污染的重要产业。本文对中国工业增长的绿化度进行了考察。首先采用层次分析法测度2005-2009年中国各地区环境污染综合指数,结果表明2005-2009年这5年间全国大多数地区环境污染指数都有不同程度上涨,平均环境污染指数从2005年的0.208上涨到2009年的0.267,就地区差异而言,环境污染指数呈现东高西低的特征,东部地区环境污染指数平均为0.340,而中部地区和西部地区分别为0.241和0.154,这与东部地区工业较为发达存在密切关系,也印证了中国经济发展仍存在较为明显的粗放式特征;其次,应用DEA方法在综合考虑环境污染和能源消耗问题的基础上测度2005-2009年中国各地区工业增长绿化度,结果表明东部地区工业绿化度明显优于中西部地区,东部地区工业绿化度平均为0.689,远高于中部地区的0.435和西部地区的0.496,而且,"十一五"以来,东部地区工业绿化度上升趋势明显,说明东部地区工业增长正在积极向绿色转型;论文还应用TOBIT回归分析法对影响中国工业绿化度的因素进行分析,研究表明技术进步、结构升级、经济开放都会对工业绿化度产生积极的效应。因此,为促进工业绿色增长中国需要进一步为技术的研发、扩散搭建顺畅的渠道;积极推动产业融合,获得协同收益;有效吸引清洁外资,开展绿色生产。     

无锡市能源消费、碳排放与经济增长关系分析

经济增长对资源消耗存在很大的依赖性,研究能源消费、碳排放与经济增长关系,可为经济增长方式转变和低碳城市建设提供重要科学依据。基于IPCC国家温室气体排放清单指南中的方法估算了无锡市能源消费碳排放,并建立“脱钩”模型探讨能源消费、碳排放与经济增长之间的关系。结果表明：（1）2000~2010年,无锡市碳排放从84335万t增加到2 52804万t,总量不断增加,但趋势有所减缓,且各县市碳排放特征差异显著;（2）无锡市碳排放与经济增长整体处于弱脱钩状态,且脱钩状态有不断增强的趋势,市区经济发展已不依赖于能源消费,朝着环境友好方向发展,江阴和宜兴节能减排压力仍然很大;（3）优化产业结构、调整工业结构和提高能源利用效率是改善无锡市能源消费、碳排放和经济增长关系的有效途径,各县市根据具体情况,侧重点有所不同     

Analysis of Influences between the Energy Structure Change and Energy Intensity in China

In this article, based on the data of the energy statistics from 1980 to 2004, we analyze the relationship between the primary energy structures, technique, management, and the energy use per unit of GDP based on the path analysis approach and present the degree of the direct, indirect, and the overall influences of the primary energy structures on the energy use per unit of GDP. The results show that the technical change and management level play a decisive role in the energy use per unit of GDP, and the ratio of oil consumption was the major limiting factor to energy use per unit of GDP. We then found the model of the energy use per unit of GDP and the structures of the primary energy consumption, eliminated the multicollinearity in the model with the path analysis result, and finally, analyzed the influence of the primary energy structure on the energy conservation.     

Spatial and temporal variation of energy carbon emissions in Yantai from 2001 to 2011

In order to understand the characteristics of spatial and temporal variation, as well as provide effective ideas on carbon emissions and regulatory policy in Yantai, this article analyzed spatial and temporal variation of carbon emissions in Yantai based on energy consumption statistics for a variety of energy sorts together with industrial sectors from 2001 to 2011. The results were as following: First of all, Yantai’s carbon emissions grew by an average of 5.5% per year during the last 10 years, and there was a peak of 10.48 million carbon in the year of 2011. Second, compared with the gross domestic product (GDP) growth rate, the figures for energy carbon emissions growth rate were smaller; however the problem of carbon emissions were still more obvious. Furthermore, carbon emissions in Yantai increased rapidly before 2008; while after 2008, it increased more slowly and gradually become stable. Third, the energy consumption was different among regions in Yantai. For instance, the energy consumption in Longkou city was the largest, which occupied 50% of the total carbon emissions in Yantai; and the energy consumption in Chang Island was generally less than 1% of the Longkou consumption. Finally, there were relative close relationships among the spatial difference of carbon emissions, regional resources endowment, economic development, industrial structure, and energy efficiency.     

An International Comparative Analysis on China’s Economic Growth and the Convergence in Energy Intensity Gap and Its Economic Mechanism

Abstract

In this paper, the authors have empirically analyzed the convergence in per capita GDP gap and the convergence in the variation of energy intensity with respect to the change of per capita GDP between China and eight developed countries. Then, the authors run a regression on the impact of decisive factors of economic growth on energy intensity and its change, so as to find out the economic mechanism of energy intensity gap changing with respect to the variation of economic growth. This study concludes that: First, there is a convergence in per capita GDP gap between China and the eight developed countries. With the convergence in per capita GDP gap, the energy intensity gap between China and eight different countries also converge, and the convergence rate of the latter is faster than that of the former, i.e. if the per capita GDP gap between China and the eight developed countries decreases by 1%, the energy intensity gap between them will correspondingly decrease by 1.552%. Second, the energy intensity decreases with the improvement of industrial structure, the rising of energy prices, the advances of technology, and the expansion of investment in fixed assets, and it slightly increases with the increase of FDI. Third, the energy intensity gap between China and eight developed countries narrows with the lessening of the difference in fixed assets investment, energy prices, and technological progress between China and eight developed countries, yet increases with the narrowing of the difference in FDI, and has no significant correlation with the difference in industrial structure. Fourth, the narrowing of difference in per capita GDP between China and the eight developed countries can result in the lessening of energy intensity gap, whose economic mechanism is that the decisive factors, such as difference in investment, technology, and the competition mechanism of prices, which can determine the difference in economic growth, can significantly affect the energy intensity gap.     

我国减缓碳排放的近期形势与远期趋势分析

近3年来我国面临GDP能源强度呈上升趋势，能源消费及相应CO2排放增长对世界减缓碳排放的形势产生了更大影响的新的形势，从长远发展趋势看，我国当前由于工业特别是重化工业在国民经济结构中急剧增加引起的GDP能源强度阶跃性增长将随产业结构的稳定两平缓，并且随产业结构的优化和产业技术升级及高附加值产品比例提高而再度呈持续稳定下降的趋势。我国在现代化道路中与发达国家的历程相比，可以走更为节约能源和减少CO2排放的道路。但由于中国人口众多，和平发展的规模大、速度快，而且时间比发达国家滞后半个世纪以上，我国为实现现代化所必需的能源消费和CO2排放的增长会对全球的碳排放增长产生重大影响。这将使我国未来经济发展面临极为不利的外部环境。     

Income Growth,Urbanization, Changing Life Style and Energy Requirements in China

Abstract

This paper aims to estimate the effects of changing life style and consumption demands driven by income growth and urbanization on increase of energy requirements in China, and estimate the impacts of improvement in household consumption on mitigating energy requirements towards 2020, based on input-output analysis and scenarios simulation approach. The result shows that energy requirement per capita has increased by 159% for urban residents and 147% for rural residents from 1995 to 2004. Growth in household consumption driven by income growth and urbanization may induce a successive increase in energy requirements in future. Per capita energy requirements of urban residents will increase by 240% during 2002–2015 and 330% during 2002–2020. Urbanization might lead to 0.75 billion ton of increment of energy requirements in 2020. About 45%–48% of total energy requirements in China might be a consequence of residents’ life styles and the economic activities to support consumption demands in 2020. Under low-carbon life style scenario, per capita energy requirements of urban residents may decline to 97% in 2015 and 92% in 2020 in contrast with baseline scenario. That implies that China needs to pay a great attention to developing green low-carbon life style in order to realize mitigation target towards 2020.     

1949年以来中国环境与发展关系的演变

从IPAT方程出发,发现了环境影响随着经济发展或时间的演变依次遵循三个"倒U型"曲线规律,即环境影响强度的倒U型曲线、人均环境影响的倒U型曲线和环境影响总量的倒U型曲线。根据此规律,可以将该演化过程划分为四个阶段即:环境影响强度高峰前阶段、环境影响强度高峰到人均环境影响量高峰阶段、人均环境影响量高峰到环境影响总量高峰阶段以及环境影响总量稳定下降阶段。在环境演变的不同阶段,主要驱动力存在着明显的差异。在环境影响强度高峰前阶段,资源消耗或污染物排放增长更多地由资源或污染密集型技术进步驱动;在资源消耗或污染物强度高峰到人均资源消耗或污染物排放高峰阶段,主要由经济增长驱动;而在人均资源消耗或污染物排放高峰到资源消耗或污染物排放总量高峰阶段以及总量高峰以后的发展阶段,则主要由节约高效技术或污染减排技术进步来驱动。实证分析表明,中国目前环境与发展关系基本上处于经济增长主要驱动的环境影响强度高峰向人均环境影响高峰过渡阶段,这同时意味着中国要在短期内实现人均环境影响和环境影响总量高峰的跨越是异常困难的。