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双语推荐:行业差异

以葡萄牙与中国风电行业状况的差异为切入点,提出了目前两国风电发展的3类差异,论述了造成上述差异的8种原因,综合各种原因,结合国外行业发展的经验以及中国国情实际,提出中国风电行业发展的建议。
The present status and three major differences of wind power development between Portugal and China are in -troduced .Detail analysis is given form eight different aspects .Considering the experiences from foreign countries and the practical conditions of China , suggestions are provided for the development of wind power industry in China .

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以2004~2011年沪深A股上市公司为样本,研究权益资本成本的行业差异以及行业特征对权益资本成本的影响。研究发现:行业门类层面和制造业次类层面的权益资本成本差异显著,这种差异在时序上较为稳定。行业竞争程度越低,权益资本成本越小,体现了产品市场竞争的特质性风险效应,行业收益波动和行业成长性分别对权益资本成本产生显著的正向影响和负向影响。企业会计准则的改革强化了行业因素对权益资本成本的影响。
Using a total of 2 5 5 2 firm-year balanced panel data of China''s A-share listed compa-nies during the period of 2004 to 2011,this paper investigates the cost of equity capital''s industri-al differences and industrial features.The results show that there are significant differences in the costs of equity capital in different industries and in manufacturing sub-categories,and such differ-ences are relatively stable over time;the degree of industrial competition and the fluctuation of in-dustrial profits have significantly positive effect on the costs of equity capital,which reflects the effect of the idiosyncratic risk of product market competition;the fluctuation of the return of an industry and the industrial growth have significantly negative and positive effects respectively on the cost of equity capital;and the reform of accounting standards strengthens the industrial factor ''effect on the cost of equity capital.

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文章采用非期望SBM模型测算了2002-2012年中国工业行业的生态全要素能源效率,根据效率值对工业行业进行了分类,然后分析了工业行业生态全要素能源效率的收敛性及其差异的影响因素。研究发现:中国工业各行业的生态全要素能源效率的差异比较明显,极差约为0.3;中国每年工业行业整体的能源效率为0.61~0.73,即节能潜力为27%~39%;工业整体、高效率行业和低效率行业都呈现出显著的绝对收敛和条件收敛的特征,表明工业行业整体的能源效率差异在缩小;一般效率行业只呈现出条件收敛,即这类行业收敛于自身的稳态;行业规模、研发投入和资本深化等指标对工业行业生态全要素能源效率具有显著的影响。
This paper applies the undesirable-SBM model to measure ecological total factor energy efficiency (ETFEE) of Chinese industries from 2002 to 2012,classifies the industries according to the values of energy efficiency,and then analyz?es the convergence differences of the ETFEE of industries and their influencing factors. The study shows that the ETFEE of Chinese industries is obviously different, and the range is about 0.3. The annual overall energy efficiency of Chinese indus?tries is between 0.61 to 0.73, which means energy saving potential is 27 percent to 39 percent. The entire industries and high-efficiency industries as well as low-efficiency industries present significant characteristics of absolute convergence and conditional convergence, which indicate that the differences of the overall energy efficiency of industries are narrowing. The general efficiency industry only presents conditional convergence,namely this type of industry converges its steady condition. Indus

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在依据出口能力不同对中国工业行业进行分类的基础上,利用灰色关联分析,定量比较了出口能力不同工业行业对环境污染的影响差异;通过构造环境影响系数,分析了依出口能力差异划分的工业结构变动对环境污染的影响趋势。研究表明,中国出口能力强的工业行业对环境污染影响较大,目前的工业行业出口能力结构变动趋势对环境污染有减轻迹象,适度降低工业行业结构中出口能力强行业的比重,有助于减轻中国环境污染压力。
The paper classifies industrial sectors based on the export capacity and describes the export capacity structure of industrial sectors in China.Through the gray relational analysis, the paper analyses quantitatively the different effect of industrial sectors with different export capacity on pollution , and the pressure of the changes of industrial sectors''export capacity structure on pollution emissions.The study shows that the industrial sectors with strong export capacity have the biggest impact on pollution e-missions;excessive expansion of such industries will do harm to Chinese environment .

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创新是企业生存和发展的源动力,而由于存在进入行业的沉没成本,创新对不同行业内企业生存的影响程度存在差异。运用1999—2007年我国规模以上工业企业的微观数据,采用二元Probit离散模型分析我国不同行业内企业的创新行为对生存概率的影响机制。研究发现,创新行为对我国企业生存概率具有显著的促进作用,但对于不同行业企业的影响程度存在差异,沉没成本高的行业内企业生存概率更高;不同行业内企业创新行为对生存的影响存在显著差异,纺织行业企业创新行为对生存的影响不显著,而石油、非金属行业企业创新行为对生存概率的促进程度最高。
Innovation is the source for firm survival and development, and due to the presence of sunk costs into the industry, there are differences in the impact degree of innovation on different sectors of firm survival. In this paper, we use China''s industrial enterprises above designated size micro data from 1999 to 2007 and binary probit discrete model to analyze the impact mechanisms about innovation behavior of Chinese companies in different sec-tors to the survival probability. The study found that innovation behavior to the survival probability of Chinese en-terprises have a significant role in promoting, but there are differences in the degree of influence in different in-dustries, the probability of enterprises survival is higher in the high sunk costs of industries; influence on survival from innovation behavior within different industries is different. The impact of innovation behavior in textile indus-try on survival was unobvious, while the promoting degree was highest

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微企从事行业差异性决定了其融资需求的差异性,政府部门及金融机构据此设计差异化金融政策(产品)才能更好地满足微企融资需求。文章以重庆市1039家微企为例,研究微企行业与融资需求的关系,发现微企融资存在显著的行业差异性,政策启示是微企融资政策(产品)不应"一刀切",应出台行业差异化的金融政策(产品)。
Micro enterprises’ industry differences determining its financing needs are different, which should be considered by government and financial institutions to design financial policy (products) matching micro enterprise ’ financing demand. In this paper, taking Chongqing’ 1 039 micro enterprises as an example, we study on the relationship between micro enterprises’ indus-tries and financing needs, finding there are significant difference for financing needs of different industries. So it should not be rigid uniform for designing micro enterprise’ financing policy.

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行业和市场行情变化出发研究了股票市场系统流动性风险溢价的差异。以沪深300指数和沪深300行业指数为对象,选取的样本期间横跨牛市行情和熊市行情,采用二元均值GARCH(1,1)——Diagonal BEKK模型进行实证检验。结果表明,在混合市场行情下,总体样本和行业样本的系统流动性风险溢价都不显著,在牛市行情下,不存在系统流动性风险,而在熊市行情下,系统流动性风险显著存在,并且不同行业的系统流动性风险溢价存在一定的差异
Considering the industry factors and market condition,this paper studied the differences of stock market liquidity risk premium.Take the CSI 300 Index and CSI 300 Sector Index as objects,the sample period contains both the bull market and bear market,and the Binary mean model GARCH (1 , 1)---Diagonal BEKK was used in empirical research.The results show that the overall samples and in-dustry samples liquidity risk premium is not significant in the mixed market conditions,the systemic liq-uidity risk is not exist in the bull market but the bear market,furthermore,the system liquidity risk pre-mium in different industries are different.

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文章运用面板数据模型,选取我国2002-2009年沪深两市金属冶炼业和通信设备、计算机及其他电子设备制造业上市公司的财务数据作为样本作对比分析。文章从商业信用需求角度研究影响商业信用的因素,并分析这些因素对不同行业影响程度的差异。结果发现商业信用需求同本企业给予下游企业的商业信用供给程度显著正相关,同时金属冶炼行业和通信设备制造业对商业信用的需求程度确实有明显差异,后者的需求程度更大。商业信用供给水平、公司规模、从金融机构融资的能力以及企业的偿债能力对这两类行业具有显著影响。行业繁荣程度、公司运营情况、成长性等变量在两个行业间的影响差异较大。基于文章的结论,建议今后的研究可以进一步针对行业特性分别研究。
With the development of the socialist market economy in China, as one of the main channels for financing, trade credit has becoming more and more important. However, whether trade credit played the same role in different sectors is still in the air. The aim of this paper is to study differences of the level of using trade credit in industries. By applying panel data model, this paper uses samples of China''s listed firms of Shanghai and Shenzhen about metallurgy industry and communications equipment, computers and other electronic equipment manufacturing industries from 2002 to 2009 to do a comparative analysis. This paper pays attention to the demand for trade credit and studies its influencing factors. It is found that the demand for trade credit is strongly positively correlated with the level of the supply of trade credit. The level of trade demand of communications equipment, computers and other electronic equipment manufacturing industries is higher than the other one.

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网络行为和现实世界行为存在差异,在不同偏好和信念下的网络行为体现着不同的特征,而相应的约束和治理机制也存在差异。本文对比了各国网络行为管理模式差异,对我国的网络行为管理模式提出了建议。网络行为管理模式可以分为行业自律政府指导型和政府严格控制型两种,英美主要通过行业自律和政府服务指导实现对互联网的监管,我国主要依靠政府的规制和司法实现互联网监控,是典型的政府主导体制,存在多个部门从不同角度对互联网进行管制,而行业自律的作用较弱。未来可以更多发挥行业自律的作用,提高政府规制的开放性。
There are differences between network behaviors and real-world behaviors. Different preferences and beliefs reflect the different characteristics of network behaviors and the corresponding constraints and governance mechanisms are also differences. This paper compares the differences between countries in the network behavior management model and proposes on China''s network management model. There are two network behavior management models which are industry self-government guidance and government strictly controlled. Britain and the United States guide the network behaviors mainly through industry self-regulation and government regulation. Our country monitor the network behaviors mainly rely on government regulation and judicial and it’s the typical government-led system. There are multiple departments on Internet regulation from different angles. And the role of industry self-regulation is weak. We can improve the role of industry self-regulation in the future and improve

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研究中国生产性服务企业赢利能力的差异性及其来源的产业效应和企业效应,探讨在具有不同行业行政进入壁垒的行业和市场化差异较大的各地区间产业效应和企业效应是否产生较大波动,以2008年中国生产性服务企业统计数据库的大样本数据为研究对象,运用利润率决定模型进行估计,基于回归的夏普里值分解框架对利润率差异来源的产业效应和企业效应的贡献度进行分解。研究结果表明,中国生产性服务企业赢利能力差异存在不可忽视的强产业效应特征,其主要由行业市场规模的扩张和市场结构引起;在企业效应中,企业所有制、非生产性支出和融资渠道的贡献度排在前三位;在行政进入壁垒较高的行业中,赢利能力差异的产业效应较大;而在市场化程度较高的地区中,赢利能力差异的企业效应较大。
The paper studies the profitability difference of Chinese producer service enterprises and the industry effect and enter -prise effect of sources , as well as their volatility in industries with different administrative barriers and regions with different mar -ketization.We employ the large sample database of producer service enterprises in 2008, and then use models of profit margin determination to estimate and employs Shapley value decomposition framework to estimate the contribution of industry effect and enterprise effect for the enterprises with profitability difference sources based on regression .The paper finds that producer service enterprise profitability presents strong industry effect characteristics , which cannot be ignored and mainly caused by industry mar-ket expansion and market structure .However, for the profit margin differences mainly caused by enterprise effect , the enterprise ownership, unproductive expenditure and financing channels are the three most influenti

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