广州市能源消费与GDP及能源结构关系的实证研究

能源消费及能源结构与GDP之间关系对于广州的能源环境和经济的可持续发展十分重要。本文在广州市1980—2003年的年度统计数据基础上。运用格兰杰因果关系检验研究了时间序列变量之间是否存在因果关系：并运用协整理论研究了广州市1980—2003年能源消费与GDP及能源结构之间的关系。研究结果表明广州市GDP和能源结构是能源消费的Granger原因。并且GDP与能源消费及能源结构之间存在长期均衡关系。能源结构对能源消费的影响大于经济增长的影响。     

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

Abstract

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.     

Integrating energy and land-use planning: socio-metabolic profiles along the rural–urban continuum in Catalonia (Spain)

Abandoning fossil fuels and increasingly relying on low-density, land-intensive renewable energy will increase demand for land, affecting current global and regional rural–urban relationships. Over the past two decades, rural–urban relationships all over the world have witnessed unprecedented changes that have rendered their boundaries blurred and have lead to the emergence of “new ruralities.” In this paper, we analyze the current profiles of electricity generation and consumption in relation to sociodemographic variables related to the use of time and land across the territory of Catalonia, Spain. Through a clustering procedure based on multivariate statistical analysis, we found that electricity consumption is related to functional specialization in the roles undertaken by different types of municipalities in the urban system. Municipality types have distinctive metabolic profiles in different sectors depending on their industrial, services or residential role. Villages’ metabolism is influenced by urban sprawl and industrial specialization, reflecting current “new ruralities.” Segregation between work activity and residence increases both overall electricity consumption and its rate (per hour) and density (per hectare) of dissipation. A sustainable spatial organization of societal activities without the use of fossil fuels or nuclear energy would require huge structural and sociodemographic changes to reduce energy demand and adapt it to regionally available renewable energy.     

Study on the Dynamic Relationship Between Economic Growth and China Energy Based on Cointegration Analysis and Impulse Response Function

In recent years, China's economy has been growing rapidly and caused a dramatic increase to energy demand. To investigate the dynamic relationship between economic growth and China energy, a cointegration analysis and an error-correction model are used in this study to examine the long-term equilibrium relationship between gross domestic product (GDP) and energy production (EP) and energy consumption over the period 1980 to 2005. The results indicate that the two variables are cointegrated, but specifically, the growth of GDP forcefully drives energy to increase while energy has a little effect on GDP. Furthermore, the impulse response function is used to trace the dynamic response paths of shocks to the system. As a result of recent energy-saving policy, EP and consumption present a sinusoidal growth with a lag length of 2-3 years. The policy implication of this finding is that through the measures of controlling economic growing speed and conducting energy-saving policy continuously, the target of reducing energy intensity for 20% is not difficult to achieve.     

GDP与能源消费之间的关系研究

选取中国1985-2009年能源消费总量与GDP的年度数据作为研究样本,运用Eviews对时间序列的GDP和能源消费总量进行单位根检验、协整检验、Engle-Grange因果关系检验.结果发现,GDP、能源消费总量的二阶差分在5%的显著性水平下是平稳的;GDP、能源消费总量在5%的显著性水平下,存在协整关系;Engle-Grange因果检验结果显示,在5%的显著性水平下,GDP与能源消费的因果影响关系不明显,但长期能源消费对GDP存在单向因果关系.从研究的结论来看,GDP增长引起能源需求和消费内生性的增长,减少能源的消费不影响产出、就业、收入的增长.要解决我国目前经济发展过程中诸多矛盾,使经济持续发展,首先,必须积极开发新能源、提高能源利用效率、调整能源战略、实施能源保护和节能政策来弥补我国能源短缺,提供充足的能源供给作为保障.其次,要转变经济增长方式、调整产业结构,尤其是工业结构;加快技术创新、发展高新技术产业和知识密集型产业,使我国经济发展摆脱对能源的依赖.     

双积分政策下异质汽车制造商的产量博弈均衡

文章通过对双积分政策下汽车制造商的产量博弈均衡进行建模分析,研究了双积分政策对企业层面异质制造商的产量决策和利润的影响,以及对产业层面新能源汽车和燃油汽车总产量及总产值的影响。研究结果表明:(1)新能源汽车产业向均衡演进过程中,新能源汽车制造商仍具有一定的发展潜力,但未来发展的中坚力量依靠优势燃油汽车制造商,劣势燃油汽车制造商可能会通过提高燃油经济性发展为优势燃油汽车制造商,从而提高优势燃油汽车制造商的燃油汽车总产量,降低劣势燃油汽车制造商的燃油汽车总产量。(2)双积分政策参数对异质制造商产量决策和利润的影响不同:新能源汽车制造商能够从中受益,而劣势燃油汽车制造商面临危机,转危为安的可能方式包括降低平均燃料消耗量和积极探索新能源汽车生产的可能性。对于优势燃油汽车制造商来说,双积分政策的收紧可能导致其转向燃油汽车市场,规制NEV积分价格上限有利于引导优势燃油汽车制造商转向新能源汽车市场。(3)促进新能源汽车规模增长的参数,可能导致总产值下降,政策调整应将规模增长和产值增长作为双目标,避免单一目标可能导致的市场波动。(4)随着双积分政策的收紧,可预见的新能源汽车积分比例要求提高以及平均燃料消耗量标准趋严,将刺激新能源汽车积分需求提升,缓解新能源汽车积分供需失衡问题。考虑到目前NEV积分价格处于低位,合理降低新能源乘用车车型积分有助于限制NEV积分供给。     

Road energy consumption,economic growth,population and urbanization in Egypt: cointegration and causality analysis

The study investigates the causal relationships between road energy consumption, economic growth, urbanization and population growth in Egypt over the period (1980–2011). I use Johansen cointegration approach, vector error correction model (VECM), generalized impulse response functions and variance decomposition technique. The results show the existence of long-run relationship between the variables. Moreover, the results indicate the existence of unidirectional long-run causality running from road energy consumption to urbanization and from road energy consumption to economic growth which implies the existence of growth hypothesis in the long run. Also, there is bidirectional short-run causality between road energy consumption and economic growth, which indicates the existence of feedback hypothesis in the short run. These results imply that road energy consumption determines economic growth in the both short run and long run and economic growth causes road energy consumption in the short run. And according to these results, several policy implications will be suggested for policymakers. They should take into consideration while implementing energy conservation policies, the possible negative effect on economic growth and have to concentrate on technological development policies and to make a shift towards using clean alternative fuel as natural gas and focus on investment in renewable energy resources.     

Decomposition Analysis of Sectoral Energy Use in Beijing （1981-2005） Using the LMDI Method

This paper aims to identify the main driving force for changes of total primary energy consumption in Beijing during the period of 1981-2005. Sectoral energy use was investigated when regional economic structure changed significantly. The changes of total primary energy consumption in Beijing are decomposed into production effects, structural effects and intensity effects using the additive version of the logarithmic mean Divisia index （LMDI） method. Aggregate decomposition analysis showed that the major contributor of total effect was made by the production effect followed by the intensity effect, and the structural effect was relatively insignificant. The total and production effects were all positive. In contrast, the structural effect and intensity effect were all negative. Sectoral decomposition investigation indicated that the most effective way to slow down the growth rate of total primary energy consumption （TPEC） was to reduce the production of the energy-intensive industrial sectors and improving industrial energy intensity. The results show that in this period, Beijing＇s economy has undergone a transformation from an industrial to a service economy. However, the structures of sectoral energy use have not been changed yet, and energy demand should be increasing until the energy-intensive industrial production to be reduced and energy intensity of the region reaches a peak. As sequence energy consumption data of sub-sectors are not available, only the fundamental three sectors are considered： agriculture, industry and service. However, further decomposition into secondary and tertiary sectors is definitely needed for detailed investigations.     

Rebound effect and its decomposition – an analysis based on energy types in China

Rebound effect derived from energy efficiency improvement has been widely invested. However, most of studies focus on the rebound effect of the energy composite level and neither distinguish nor compare different energy types. We compare the differences in energy saving and energy rebound between primary and secondary energy sources, and further decompose the rebound effect into production rebound part and final demand component. To do so, we add a module for rebound into a comparative state China-CGE model. We design and test two simulation scenarios using the model. In Scenario 1, all production sectors’ energy efficiency of using primary energy increases by 5%. In Scenario 2, all production sectors’ energy efficiency of using secondary energy increases by 5%. The results show that Scenario 2 leads to more GDP growth and more energy saving. Our scenarios show rebound effects range between 9.6% and 27.9%, and in general are higher when energy efficiency of using primary energy sources is improved. Our decomposition analysis shows that improving energy efficiency in production sectors would stimulates energy use of final demand. Indeed, the consumption side has significant contribution to rebound in secondary energy use, especially in crude oil and gas. This study reveals that improving efficiency of using secondary energy is better than improving that of primary energy, both in terms of economic impact and energy rebound. And complementary policies that prevent energy services prices from falling too much can be adopted to reduce rebound. Controlling residential energy use could also be effective in reducing rebound, this has particular implication to economies in which residential energy consumption are far from saturation.     

Empirical assessment of sustainable energy markets in the EU-28

Sustainable consumption and production policies have been developed by the EU as part of the United Nations 10-year framework programme on sustainable consumption and production. In this context, the study of energy consumption and production patterns might be especially relevant as the importance of energy input. This paper develops the Sustainable Energy Market Aggregated Index in the EU-28 that provides information about the achieved effects of sustainable consumption and production policies on energy efficiency, energy dependence, generation mix based on clean production technologies and competitive market structure. The results suggest that Denmark, Sweden, UK, Italy, the Netherlands have the better scores. Reinforcing measures are proposed for member states with the lowest results (Slovakia, Luxembourg, Estonia, Czech Republic and Belgium) in order to move towards more competitive energy markets.     

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.     

Prediction of primary energy demand in China based on AGAEDE optimal model

In this article,we present an application of Adaptive Genetic Algorithm Energy Demand Estimation(AGAEDE) optimal model to improve the efficiency of energy demand prediction.The coefficients of the two forms of the model(both linear and quadratic) are optimized by AGA using factors,such as GDP,population,urbanization rate,and RD inputs together with energy consumption structure,that affect demand.Since the spurious regression phenomenon occurs for a wide range of time series analysis in econometrics,we also discuss this problem for the current artificial intelligence model.The simulation results show that the proposed model is more accurate and reliable compared with other existing methods and the China's energy demand will be 5.23 billion TCE in 2020 according to the average results of the AGAEDE optimal model.Further discussion illustrates that there will be great pressure for China to fulfill the planned goal of controlling energy demand set in the National Energy Demand Project(2014—2020).     

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.     

Forecasting China’s primary energy demand based on an improved AI model

An improved energy demand forecasting model is built based on the autoregressive distributed lag (ARDL) bounds testing approach and an adaptive genetic algorithm (AGA) to obtain credible energy demand forecasting results. The ARDL bounds analysis is first employed to select the appropriate input variables of the energy demand model. After the existence of a cointegration relationship in the model is confirmed, the AGA is then employed to optimize the coefficients of both linear and quadratic forms with gross domestic product, economic structure, urbanization, and technological progress as the input variables. On the basis of historical annual data from 1985 to 2015, the simulation results indicate that the proposed model has greater accuracy and reliability than conventional optimization methods. The predicted results of the proposed model also demonstrate that China will demand approximately 4.9, 5.6, and 6.1 billion standard tons of coal equivalent in 2020, 2025, and 2030, respectively.     

中国能耗动态增长机理和节能内涵探讨

近年来,尽管我国政府围绕一些阶段性的能源效率改进指标(例如:降低我国单位国内生产总值的能源消耗)实施了一系列政策措施,并且就此已经取得了显著的成效,但这并未从根本上消除我国当前经济社会发展过程中存在的能源浪费和不合理使用现象,以及从长远来看我国经济社会发展趋向和依赖高能耗经济社会发展路径的隐患。究其原因,关键是对符合我国现实国情的节能内涵欠缺充分的认识,从而难以制定具有前瞻性和全局性的节能发展战略。在此背景下,本文在辨析节能基本概念的基础上,结合对我国当前能源消耗动态增长特征及其形成机理的剖析,进一步归纳出我国节能的本质内涵,指出"动态节能"是我国节能的本质内涵,而我国"动态节能"的根本目的在于减少我国实现现代化(例如城镇化和工业化等)整体过程中的"集总能源消耗"。本文开展的以上定性分析工作加深了对我国节能内涵的认识,为相关决策者制定更加全面的节能政策提供必要的决策参考依据。     

中国碳排放库兹涅茨曲线实证研究——基于Gregory-Hansen协整分析

中国反复、多次出现大范围持续性雾霾天气使碳排放与经济增长问题成为理论界研究的热点,选取1978~2012年中国历年相关统计数据,采用Gregory-Hansen协整检验方法结合结构突变分析,实证检验我国碳排放与能源消费、经济增长及产业结构的关系。研究结果显示,中国碳排放环境库兹涅茨曲线为正U型,且该曲线存在结构突变;经济增长、能源消费、产业结构对碳排放都具有显著的增排效应。因此,建议在保证经济可持续的中高速增长前提下,通过提高能源利用效率、推进产业结构调整等措施来降低碳排放量,使"APEC蓝"能够成为一种"新常态"。     

能源强度收敛:对发达国家与发展中国家的检验

能源强度是指一个国家或地区生产单位产值所消耗的能源量,它反映了经济系统对能源的依赖程度和能源的使用效率。许多国家的能源强度曲线在直观上表现出收敛的显著特征。为了对这一现象进行严格的证明和检验,该文依据时间序列协整概念,首先提出了能源强度收敛的定义,然后从一个包含能源投入的内生增长模型出发,从理论上证实了能源强度收敛的存在性。为了对能源强度收敛进行实证检验,选取24个国家,并划分组合为5组样本,分别对能源强度收敛进行了σ收敛检验和协整检验,结果表明:高收入国家、高中收入国家、中低收入国家、发展中国家和样本中所有国家都存在能源强度收敛现象;σ收敛检验还揭示出各组样本中能源强度收敛的时间段以及收敛程度的大小排序。     

中国ESDPM模型及其在交通需求预测中的应用

交通运输是国民经济的基础部门.未来随着国民经济的快速发展和人均收入水平的不断提高,交通运输部门的能源消费量将会以较高的速度增长,在决定我国终端能耗的局面中占据着非常重要的地位.本文应用集合模型方法建立了中国能源服务需求预测模型( Energy service demand projection model,ESDPM),在对未来经济和社会发展进行合理假设的基础上,预测了中国未来一直到2050年的客运和货运周转量以及小汽车保有量,并进行了国家和地区间的比较.结果显示,2005-2050年中国的客运和货运周转量将分别以年均增长率5.9%和5.1%的速度增长,2050年客运和货运周转量将分别达到23.1万亿人·km和74.7万亿t·km.小汽车将随着人均GDP的快速增加呈现出明显的"S"型增长关系,在小汽车拥有率饱和水平选取为0.4时,小汽车保有量将稳定在5.8亿辆左右.     

Trade and the environment: An application of the WIOD database

The new WIOD database allows for improved empirical analysis on a wide range of important environmental research questions.In this paper we demonstrate the scientific power of the WIOD database and analyze very urgent policy questions on the impacts of international trade and structural change on the environment.We apply recent econometric approaches to show the impact of international trade on the environment via its different channels as for instance to increase welfare and potentially affect environmental regulation as well as countries’sector.This approach has become known as the econometric structural decomposition method.In addition to these guidelines by the literature,an econometric panel data approach is offered to shed some light on the impact of structural change and international trade on environmental pressure,where we especially address and solve several endogeneity issues that add further complexity to the analysis.