产品信息标签的技术诱导效应研究:基于能效标识制度的实证

运用关键词频统计法,构建中国1999-2013年节能节电专利面板数据,以能效标识制度为切入点,从专利数量、相对专利产出和技术重心等指标分析能效标识制度对技术创新的影响,进而考察产品信息标签对技术创新的诱导机制。研究发现:(1)能效等级信号是能效标识制度能否诱导技术创新的关键;(2)能效标识制度对节能节电类专利具有显著正向影响,即能效标识制度对技术创新具有显著诱导效应;(3)能效标识制度不仅能够提升节能节电专利与节水专利之间的比值,而且能够显著提高节能节电专利占所有专利的比例,即该政策导致偏向性技术进步;(4)相对而言,能效标识制度对创新程度较高的发明专利具有更强的诱导效应。为此,完善能效标识制度、推广产品信息标签,有助于引导技术进步,促进社会可持续发展。     

能源禀赋与产业技术进步对碳排放强度的影响效应研究

基于1997-2015年长江经济带11个省份的区域面板数据，实证研究了能源禀赋、产业技术进步及二者交互对碳排放强度的影响。研究表明：①产业技术进步会降低碳排放强度，能源禀赋会提高碳排放强度，并且产业技术进步的抑制作用强于能源禀赋的促进作用；②能源禀赋和产业技术进步存在较强的交互作用，产业技术进步可能导致区域能源禀赋相对优势丧失，而能源禀赋优势丧失又会反作用于产业技术进步动力和需求，二者形成的良性互动有利于碳排放减少；③能源禀赋和产业技术进步对碳排放强度的影响存在区域差异，但二者交互作用在不同区域均表现为显著的抑制效应。基于以上结论，对促进长江经济带可持续发展提出以下政策建议：第一，提高能源利用效率，降〖JP〗低单位产出能耗；第二，推进科技创新，提高技术水平，积极开发、利用清洁能源；第三，因地施策，充分发挥产业技术进步通过能源禀赋抑制碳排放的交互作用。     

Strategic use of futures and options by commodity processors

The impacts of input–output price relationships on end-users' demands for positions in futures and options are analyzed using a mean-variance portfolio model and applied to price risk management in the bread manufacturing industry. A production relationship was assumed between the input and resultant output, and correlation between the input and output prices were introduced into the portfolio model. The optimal hedge ratio can be either positive or negative depending upon the relationship between the input and output price standard deviation adjusted for production technology and input–output price correlation. Introduction of a call option into the portfolio (in addition to the futures) does not change the hedging demand for futures; however, the speculative component changes. The results show that the addition of input–output linear production and price correlation relationships would not justify a hedging role for options unless there is bias in the futures and/or options markets.     

Energy prices, energy conservation, and economic growth: Evidence from the postwar United States

The effects of energy prices and energy conservation on economic growth have been examined empirically for the postwar U.S. economy. A vector autoregressive model includes real GDP, real capital, labor, real energy prices, and the Divisia energy index. A key feature of our finding is that some damaging effects of energy conservation on the macroeconomy are statistically insignificant in the short run, and the insignificant short-run effects are quickly enervated over time. Alternative measures of energy use also suggest that energy conservation has no significant impact on real output growth. The findings are generally consistent with the neoclassical position that real economic growth of the United States is neutral with respect to changes in energy use. One exception is the case that energy prices are omitted from the model.     

Energy efficiency and economic growth of China： 1953-2006

Energy plays an important role in the economic life. With the rapid development of economy, the constraint of energy on the sustainable development of economy is becoming more and more obvious. This paper just Studies the factors influencing energy efficiency of China and the relationship between energy efficiency and China＇s economic： growth. By using time series multivariable linear regression methods with China＇s relevant data from 1953 to 2006, this paper constructs the regression model to analyze the factors that would impact energy, efficiency. After that, a regression model of China＇s real output to capital, labor and energy e lficiency is conducted to estimate the marginal contribution of every factor to the real output to prove the fundamental influence of energy efficiency to the economic growth. In the end, some policies and recommendations are also put forward in order to improve the energy efficiency; of China.     

The CO2 ‘trade balance’ between Scotland and the rest of the UK: Performing a multi-region environmental input–output analysis with limited data

In this paper we attempt an empirical application of the multi-region input–output (MRIO) method proposed by Turner, Lenzen, Wiedmann and Barrett [Turner, K., Lenzen, M., Wiedmann, T., Barrett, J., 2007. Examining the global environmental impact of regional consumption activities — part 1: a technical note on combining input–output and ecological footprint analysis. Ecological Economics 62 (1), 37–44] in a recent issue of this journal in order to enumerate the CO2 pollution content of interregional trade flows between Scotland and the rest of the UK (RUK). We extend the analysis to account for direct emissions generation by households, as final consumers, and to a social accounting matrix (SAM), where a more comprehensive account of incomes and expenditures is possible. While the existence of significant data problems mean that the quantitative results of this study should be regarded as provisional, the interregional economy-environment IO and SAM framework for Scotland and RUK allows an illustrative analysis of some very important issues in terms of the nature and significance of interregional environmental spillovers within the UK and the existence of a CO₂ ‘trade balance’ between Scotland and RUK.     

Economic diversity, development capacity and sustainable development of China

China's economic growth over the past several decades has been among the highest in the world. It has been fueled by cheap fossil fuel energy so energy consumption has risen rapidly, but there are signs that negative feedbacks in the form of waste and inefficiency may affect future development. If energy throughput exceeds the capacity of the environment to process the inevitable waste from production then the development may not be sustainable. We calculate economic diversity using an energy flow network analysis method to explore the relationships of development policy, energy use, efficiency and sustainable development. China and its provinces are presented as a case study and the development status of each province in China is presented. China's development policy does not appear to be sustainable over the period 1985–1998 because of unsustainable energy consumption trends and declining economic diversity. An energy consumption tax is proposed for increasing diversity and dealing with increasing energy consumption in China.     

基于能源强度变化释析的我国节能目标实现构想

能源强度是一个国家能源利用效率的重要指标。在日趋严峻的能源供求状态下,通过降低能源强度实现节能目标是我国现代化建设的必然选择。"九五"时期我国已提出经济增长方式转变并为此而努力,然而,检视十多年我国能源强度的变化态势,高速的经济增长不仅拉动了对能源消费的需求,而且使能源强度有上升的趋势,中国经济越来越逼近资源与环境条件的约束边界。本文通过对"九五"、"十五"能源强度变化的定量与定性分析,探讨"十一五"节能目标实现的可能性与可行性,并从技术、制度与管理创新的联动上进行理论描述。     

Estimating most productive scale size with stochastic data in data envelopment analysis

This article estimates most productive scale size in stochastic data envelopment analysis (DEA). Jahanshahloo and Khodabakhshi [Jahanshahloo, G.R. and Khodabakhshi, M., Using input–output orientation model for determining most productive scale size in DEA. Applied Mathematics and Computation 2003, 146(2–3), 849–855.] studied most productive scale size in classic data envelopment analysis. The classic data envelopment analysis requires that the values for all inputs and outputs be known exactly. However, this assumption may not be true, because data in many real applications cannot be precisely measured. One of the important methods to deal with imprecise data is considering stochastic data in DEA. Therefore, this research studies most productive scale size with considering stochastic data in DEA. To that end, input–output orientation model introduced in Jahanshahloo and Khodabakhshi [Jahanshahloo, G.R. and Khodabakhshi, M., Using input–output orientation model for determining most productive scale size in DEA. Applied Mathematics and Computation 2003, 146(2–3), 849–855.] is extended in stochastic data envelopment analysis. To solve the stochastic model, a deterministic equivalent is obtained. Although the deterministic equivalent is non-linear, it can be converted to a quadratic program. Furthermore, data of software companies is used to apply the proposed approach. Performance of software companies are evaluated based on their scale sizes in classic and stochastic data envelopment analysis.     

能源企业技术创新能力对财务绩效的影响——基于企业规模的门槛效应研究

能源消费和供给的重要性使得政府给予能源企业技术创新更多关注和支持，能源企业经营存在较大风险使得能源企业技术创新能力对财务绩效的影响呈现一定特殊性。以我国能源企业2013-2018年技术创新投入与产出能力指标为样本数据，采用因子分析法和动态面板门槛效应模型，在评价能源企业技术创新能力的基础上，分别研究能源企业技术创新投入和产出能力对财务绩效的影响及企业规模门槛效应。研究结果表明，能源企业的技术创新投入和综合能力对财务绩效的影响存在显著的门槛效应，而产出能力的表现并不显著。研究结果可为国家和能源企业的技术政策制定和创新投入决策提供参考。     

我国区域能源效率及其影响因素研究

如何以较少的能源消耗实现现代化战略目标,是我国必须解决的问题。为了有效提高能源效率,我们有必要弄清楚我国能源效率现状及其影响因素之间的关系。本文首先把环境因素加入到考量能源效率的指标体系当中,对能源效率重新定义,接着通过构建结构方程模型,分析了经济结构、技术进步、制度（能源市场化）、交通运输、工业能源投资等方面对能源效率的影响程度,测算出能源效率与其影响因素之间的关系。通过实证研究发现：从各因素对能源效率的贡献比重来看,市场化程度和对外开放影响系数最大;其次是交通运输,技术进步;而经济结构对能源效率的影响系数呈反向关系,其中第二产业比重在经济结构中影响较大。说明市场化程度、对外开放程度、技术水平的提高和交通运输的提升都会促进我国能源效率的提高。技术进步因素对我国能源效率的正向作用有待于进一步加强。     

去产能背景下跨部门产业政策与技术创新

基于政策效果的部际传导视角，建立包含上游能源部门、中游电力部门和下游生产部门的多部门一般均衡模型，对高耗能产业生产函数以施加外生冲击方式刻画中国2015年实施的去产能政策，通过校准模型分析核心内生变量在政策冲击时期相较于平衡增长路径时期的变化。结果显示：①以“短期阵痛”为代价的去产能政策能够实现提振过剩产业产品价格的基础政策目标；②在能源部门技术创新的内生设定下，去产能政策能够提高绿色能源占能源使用总量的比重，实现绿色结构效应；③去产能政策能够降低绿色能源相对价格，实现绿色成本效应。进一步地，引入价格政策进行政策情景模拟，比较实现同一减排目标时内生技术模型和外生技术模型的政策成本，发现内生技术设定能够以更低税率和更小福利损失实现减排目标。研究结论表明，内生的技术创新是完善去产能政策传导、降低政策成本的关键环节，推动了下游过剩产业的市场提振和上游能源部门的绿色转型，为供给侧改革研究提供了产业政策与技术创新互动的新视角。     

去产能背景下跨部门产业政策与技术创新

基于政策效果的部际传导视角，建立包含上游能源部门、中游电力部门和下游生产部门的多部门一般均衡模型，对高耗能产业生产函数以施加外生冲击方式刻画中国2015年实施的去产能政策，通过校准模型分析核心内生变量在政策冲击时期相较于平衡增长路径时期的变化。结果显示：①以“短期阵痛”为代价的去产能政策能够实现提振过剩产业产品价格的基础政策目标；②在能源部门技术创新的内生设定下，去产能政策能够提高绿色能源占能源使用总量的比重，实现绿色结构效应；③去产能政策能够降低绿色能源相对价格，实现绿色成本效应。进一步地，引入价格政策进行政策情景模拟，比较实现同一减排目标时内生技术模型和外生技术模型的政策成本，发现内生技术设定能够以更低税率和更小福利损失实现减排目标。研究结论表明，内生的技术创新是完善去产能政策传导、降低政策成本的关键环节，推动了下游过剩产业的市场提振和上游能源部门的绿色转型，为供给侧改革研究提供了产业政策与技术创新互动的新视角。     

产业协同集聚、技术创新与经济增长——一个中介效应模型

提出生产性服务业与制造业协同集聚通过技术创新促进经济增长的理论机制,并基于2009—2018年中国省级面板数据,利用中介效应模型探究产业协同集聚通过技术创新对经济增长的影响。结果表明,产业协同集聚对经济增长具有直接促进作用,并通过促进技术创新发挥积极部分中介效应,即产业协同集聚可以促进经济增长由传统模式向创新驱动模式转型。基于行业异质性,高端生产性服务业与制造业协同集聚通过区域创新对经济增长的部分中介效应强度高于传统生产性服务业与制造业协同集聚。     

Scenario development in China's electricity sector

The continuing growth of China's electricity sector will affect global environmental and economic sustainability due to its impacts on greenhouse gas emissions and global resource depletion. In 2005, the generation of electricity in China resulted in the emissions of 2290 million metric tonnes of carbon dioxide (approximately 53% of the nation's total) and required 779 million metric tonnes of coal (approximately 50% of China's total coal consumption). These figures are expected to increase with China's economic growth. In order to gauge the range in which fuel consumption and CO₂ emissions could grow a scenario-based conceptual model has been developed by the authors (published in (vol.) of this journal). The application and analysis of this shows that under a business as usual (BAU) scenario, electricity generation could contribute upwards of 56% of China's energy related greenhouse gas emissions by 2020. Meanwhile, consumption of coal will also increase, growing to nearly 60% of total national demand by 2020. However, variations in a number of key drivers could produce significant deviation from the BAU scenario. With accelerated economic output, even with greater technological advances and greater potential to bring natural gas on stream, carbon dioxide emissions would rise 10% above the BAU. Alternatively, in a scenario where China's economy grows at a tempered pace, less investment would be available for advanced technologies, developing natural gas infrastructure, or nuclear energy. In this scenario, reduced economic growth and electricity demand would thereby be countered by reduced efficiency and a higher contribution of coal.     

Dynamics between energy,output, openness and financial development in sub-Saharan African countries

This study aims to establish the connection between energy use, economic output, financial development and trade, based on the panel data of 15 sub-Saharan African (SSA) countries during the period from 1983 to 2010. One full main panel and two subpanels were created by incorporating low-income and middle-income countries. The panel cointegration test results indicate a long-run relationship between the variables. The mean group (MG) estimators show that energy consumption, financial development, capital and international trade have significant impacts on economic output. In the case of middle-income countries, the Granger causality analysis reveals that rising economic output leads to higher energy consumption, but this is not true vice versa. This means that energy conservation measures are unlikely to have adverse impacts upon economic output. On the other hand, there is a complementary relationship between financial development and energy consumption. In this case, energy conservation measures should be critically analysed and implemented, so as not to have an unfavourable impact on financial development. In regard to low-income economies, there is no relationship between energy use and any of the other variables mentioned. Thus, a reduction in energy consumption has little or no significant impact on output, financial development, capital and trade.     

新冠肺炎疫情的经济影响分析：长期视角与短期应对*

本文从需求和供给两侧分析了此次新冠疫情对我国经济的短期和长期影响。在需求侧，基于理论分析和非典疫情对经济的影响特征，经济总需求会随着此次疫情的结束而在短期内快速得到恢复。但此次疫情也会加大总需求和居民收入增速的下行压力。在供给侧，疫情不仅会降低劳动力资源配置效率，加剧劳动力供需结构矛盾，同时也大幅降低了我国的资本投资，在缺乏有效干预措施下，很可能加剧我国资本投资和经济总体增速的短期下滑趋势。而基于理论分析，相应供给冲击也将对我国长期产出带来增长压力。基于疫情对我国经济需求侧和供给侧的影响分析，2020年要实现全面建成小康社会的经济目标需要实施改革力度更大、更为有效的财政和货币等支持政策。     

考虑技术进步和结构变化的宏观能源回弹效应估算

考虑到技术进步和结构变化引致的宏观能源回弹效应影响广泛但相关研究不足，本文使用多部门增长核算法和LMDI指数分解法，分别对技术进步和结构变化引致的能源回弹效应构建估算模型，进而估算我国2005年—2019年含6个细分部门的整体经济和含18个细分部门的工业能源回弹效应。研究显示，在整体经济和工业层面，技术进步引致的能源回弹效应在研究期内一直存在，结构变化引致的能源回弹效应仅在部分年份存在。近年来，工业结构变化呈现如下趋势：即仅促进了经济增长却没有促进能耗强度下降。本文的研究可为进一步完善能源效率政策提供重要参考。     

MFA model to assess economic and environmental consequences of food production and consumption

Agri-food sector is a crucially important part of the society, because it is a major factor affecting public health and welfare and it also contributes – directly and indirectly – both to the environment and to the national gross product and employment. Improving sustainability of the agri-food sector implies production of nutritionally better food by using fewer inputs and by reducing environmental burden.In reducing environmental burden, it is essential to restrict the material throughput, to identify the hot spots and direct the measures to them. Improving performance of the food sector requires that the benefits and inputs be quantified in an unambiguous way and that the inputs are estimated for the whole production chain. A comprehensive view of the whole system is necessary.Here, the material flow approach (MFA) has been used to describe the Finnish food flux. The quantitative numerical data have been derived from the farm models' data base, and the data have been adjusted so as to comply with the production and consumption statistics of Finland. Using the compiled data an extended input–output model has been constructed. The model allows for the evaluation of some of the economic and environmental consequences, when the structure of food production and the patterns of food consumption are changed. The consequences can be traced within agriculture, within the food sector as a whole, or at the level of the nation-wide economy. In combination with other information the model, thus, serves as a practical tool for planning.The paper at hand gives an overview of the data base and the basic calculation principles of the model. The usability of the model is demonstrated with results from modelling examples, in which the share of organic production or the share of vegetarian food in the average Finnish diet has been increased. The possibilities and restrictions of the approach as well as some of the needs for further development are discussed.The study is the first step in developing MFA methods to analyse and to monitor the material flows of the Finnish food flux. The results have been used also in compiling the Finnish physical input–output tables. The study, thus, contributes to the overall development of the materials flow accounting.     

基于“能源-经济-环境模型”的能源结构合理度分析

我国的能源瓶颈突出表现为结构性矛盾。笔者以能源经济学为理论支撑,从低碳经济发展对能源结构的要求角度,提出了社会经济发展、能源发展规划、环境等3个维度,分析了各个维度的构成要素,运用SPSS16.0对每个要素进行单样本T检验,确定了15个测评指标。运用层次分析法确定了各个指标的权重,构建了能源-经济-环境模型,并以此模型对2002年～2008年我国能源结构合理度进行了实证分析,发现此阶段我国能源结构合理度变化趋势呈"U"状,即先降后升;能源结构在满足社会经济发展需求上的得分呈上升趋势,而在能源发展规划执行力度、环境改善等方面的得分呈下降趋势。