Productivity Changes and Shifts in the Income Distribution

This paper contains a theoretical and empirical analysis of the relation between productivity changes by industry and shifts in the income distribution by household group. These developments are connected through changes in the employment and remuneration rate of primary inputs in production, including several labour categories.     

Using Additional Information in Structural Decomposition Analysis: The Path-based Approach

Structural decomposition analysis (SDA) is a well-known methodology to assess the relative importance of effects that together constitute the actual change in a variable of interest. A widely recognized problem of SDA is that the results often depend strongly on the specific decomposition formula chosen, while numerous formulae are equivalent from a theoretical point of view. This ‘non-uniqueness’ problem is often solved rather pragmatically, by reporting an average over (a subset of) all possible formulae. In this paper, we propose an approach that uses maximum entropy econometrics techniques to select a specific decomposition formula if additional information on one or more (but not all) determinants is available. We illustrate the method empirically by investigating the sources of change in real labour costs by industry in Spain, 1980–1994.     

人力资本对经济增长影响的结构分析

研究经济增长中人力资本作用机制仅考虑数量因素是不够的,结构因素不容忽视。本文尝试把结构因素引入人力资本分析框架,认为人力资本投资本质也是投资主体的需求决策过程,存在着类似于马斯洛式层次结构关系,提出了基于不同投资层次下的4种人力资本结构类型的理论假说。在此基础上运用1992～2003年省面板数据进行了实证检验,结果表明,人力资本的投入对我国经济增长虽具显著意义,但作用机制并不很强,人力资本存量不足和结构层次低下是其直接因素,而人力资本结构因素对沿海与内地发展差距更具深层解释力。     

India's Energy Consumption Changes during 1973/74 to 1991/92

The global energy crisis in the 1970s and early 1980s had adverse economic impacts in all oil-importing countries, including India. The objective of the present paper is to analyze energy consumption changes that have taken place in the Indian economy during 1973174 to 1983184 and 1983184 to 1991192, and the factors responsible for these changes. We develop a structural decomposition analysis in which the energy consumption changes are the result of the following six different factors: technical changes; changes in the final demand structure; changes in the interaction term of technical changes and final demand structure; changes in energy exports; changes in energy imports; changes in energy change in stock. Then, we separate the technical changes and final demand structure again, which identifies explicitly the effects of energy consumption.     

Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments

Recent empirical assessments revealed that footprint indicators calculated with various multi-regional input–output (MRIO) databases deliver deviating results. In this paper, we propose a new method, called structural production layer decomposition (SPLD), which complements existing structural decomposition approaches. SPLD enables differentiating between effects stemming from specific parts in the technology matrix, e.g. trade blocks vs. domestic blocks, while still allowing to link the various effects to the total region footprint. Using the carbon footprint of the EU-28 in 2011 as an example, we analyse the differences between EXIOBASE, Eora, GTAP and WIOD. Identical environmental data are used across all MRIO databases. In all model comparisons, variations in domestic blocks have a more significant impact on the carbon footprint than variations in trade blocks. The results provide a wealth of information for MRIO developers and are relevant for policy makers designing climate policy measures targeted to specific stages along product supply chains.     

Mixing oil and water? Using hybrid input-output tables in a Structural decomposition analysis

Input-output studies of energy use frequently adopt the so-called hybrid table, where the rows corresponding to energy sectors are in energy units rather than in monetary units. However, we show that, in structural decomposition analyses, this hybrid approach may induce arbitrary results that depend on the choice of units, rather than on changes in economic structure. This is because an economically meaningless sum of monetary and energy units enters the calculations. Our proposed solution to this problem is based on using a sum of monetary units instead, thus avoiding this attempt to mix oil and water.     

略论高职院校社会服务的实现路径

社会服务是高职院校的基本职能。高职院校社会服务职能的实现,要从细化服务理念、强化服务机制、优化服务品牌三个方面入手。     

Additive Structural Decomposition Analysis and Index Number Theory: An Empirical Application of the Montgomery Decomposition

In recent years, a large number of empirical articles on structural decomposition analysis, which aims at disentangling an aggregate change in a variable into its r factors, has been published in this journal. Commonly used methods are the average of the two polar decompositions and the average of all r! elementary decompositions (Dietzenbacher and Los, 1998 Dietzenbacher, E. and Los, B. 1998. Structural decomposition techniques: sense and sensitivity. Economic Systems Research, 10: 307–323. [Taylor & Francis Online] [Google Scholar], D&L). We propose to use instead the ‘ideal’ Montgomery decomposition, which means that it satisfies the requirement of factor reversal imposed in index number theory. We prefer it to the methods previously mentioned. The average of the two polar decompositions is not ‘ideal’, so that the outcome depends on the ordering of the factors. The average of all elementary decompositions is ‘ideal’, but requires the computation of an ever increasing number of decompositions when the number of factors increases. Application to the example of D&L (four factors) shows that the three methods yield results that are close to each other.     

Sources of Structural Change and Output Growth of China's Economy: 1987-92

This paper examines the sources of structural changes in output growth of China’s economy over 1987–92 using a decomposition method within the input-output (IO) framework. The model uses three comparable IO tables of 1987, 1990, and 1992 as the main data sources; it accounts for output changes from a demand side perspective and decomposes the growth of output into consumption demand, investment demand, export, import, and intermediate use (indicated by changes in IO coefficients). Special attention is given to identifying the effects of government policies on economic growth and structural change. It is found that overall output growth was multi-components driven rather than single-factor led; the share of the contribution to output growth from consumption and investment expansion declined and that from export and import increased. Whilst the efficiency of factor utilisation remains an issue of further research, a remarkable rise in IO coefficient share indicates a deepening and strong interdependence between industrial sectors over the data period. This revised version was published online in July 2006 with corrections to the Cover Date.     

陕西省农业合作经济组织发展路径及模式研究

陕西是我国的农业大省,地处西部欠发达地区,农业占地面积大,农业人口数量多且占全省总人口的比重也较大,要想实现全省经济的腾飞,农业经济的稳定快速发展是关键所在,因此建立和完善农业合作经济组织具有特殊重要的意义。本文以陕西省农业合作经济组织的发展现状入手,对其已经形成的发展路径和发展模式进行分析,从而提出更适合陕西省地域文化特点的农业合作经济组织发展路径及模式,力求为陕西省农业和农村经济发展提供一些可行性的研究成果。     

用结构分解技术(SDA)提高投入产出模型的分析功能

本文从结构分解技术(SDA )出发,通过与投入产出模型的结合进而形成的分解模型,为 研究经济系统变量构成因素之间的内在联系提供了良好的分析功能。     

Social Structural Inquiries – Part 2: Statistical Methods and Process Models

A tightened linkage between theory and data would enhance cumulative sociological knowledge. Toward that end this article selectivity reviews and develops social structural theories – theories that explain data. It focuses on statistical methods and process models because both approaches advance cumulative social science, and the tension between their advocates works against disciplinary solidarity. Boudon’s structural schematics cover all of the examples, suggesting a common perspective that can lessen the friction among practitioners of these forms of quantitative analysis and refocus much of the diversity of current sociology. An erratum to this article is available at .     

我国会计本科教育发展的调查与分析

文章从社会需求的角度出发,通过对在岗会计人员的问卷调查与分析,对我国当前会计本科教育的观念更新、人才培养目标的定位、会计本科学生应具备的职业素质以及未来职业发展要求等形成了实践的认识,并提出了相关建议。     

Interinstitutional linkage analysis: a social accounting matrix multiplier approach for the Mexican economy

By analogy to inter-industry analysis, this paper addresses the Inter-institutional linkage analysis through an accounting multiplier approach and a social accounting matrix framework that has a flow of funds. Such an analysis provides a useful tool to identify and quantify structural features of an economy in terms of productive and financial backward and forward linkage indices, which are estimated from the accounting multipliers. As an empirical application of this analysis, we identify and measure the accounting multipliers and the respective linkage indices for the Mexican economy. The results may help to improve the quality of policy decisions by detecting key linkage and partial linkage accounts (production sectors or institutions) and by providing a better understanding of how an impact of an initial exogenous injection runs within a complex economic structure.     

A Structural Decomposition Analysis of Pollution in the Netherlands

This paper reviews the results of a structural decomposition analysis in which the annual changes in a number of air pollutants and solid waste are decomposed according to their causes. The analysis in this paper is applied with the help of the so-called National Accounting Matrix including Environmental Accounts (NAMEA) for the Netherlands, covering annual data for the period 1987-1998. In a sensitivity analysis it is shown that the average of any pair of so-called 'mirror image' decomposition forms will substantially reduce the variation in the estimates. These mirror image couples are approximately just as reliable as the full average of all decomposition forms. Besides reliable results, the full average also foresees the mutual comparability between the distinguished change factors and is therefore applied in the empirical analyses presented in this paper. The results of these analyses contain the macro-economic developments, results on the industry level as well as a comprehensive overview of the origin and destination of pollution in the Dutch economy that includes the environmental consequences of consumption and international trade.     

论财务报表列报方式变革:动因、挑战与趋同路径

阐述了传统财务报表列报的演变动因,分析了未来财务报表框架的内在逻辑及挑战,认为企业财务报表列报方式变革具有概念颠覆性,是由业务活动与财务结果的多因一果型模糊对应发展为业务活动与相应资源配置及运作效率的一因一果型完全对应。考虑到财务报表特定应用环境的匹配性,提出财务报告"双轨制"的过渡性制度安排。     

A Spatial Structural Decomposition Analysis of Chinese and Japanese Energy Demand: 1985–1990

This paper proposes a spatial structural decomposition analysis to measure the effects of the changes in intra- and inter-country linkages on the embodied energy demand in the concerned country. For the empirical analysis, we have used the China- Japan inter-country input–output tables for 1985 and 1990, expressed in constant prices of 1990. The empirical results reveal that (1) at least for the period between 1985 and 1990, the effects of the non-competitive input structural changes in China on the primary energy requirements of Japan were negligible, and (2) the contribution of the Japanese final demand shifts on the total change in Chinese primary energy demand was 40 times larger than that of the Chinese final demand shifts on the primary energy requirements of Japan. The Japanese policy makers should concentrate on the energy impacts of the changes in the domestic production structure rather than the changes in the Chinese production structure.     

太原流浪未成年人救助管理的路径探析

加强对流浪未成年人的救助保护和管理是政府履行职能的重要内容,也是一项涉及全社会的系统工程。应从构建社会主义和谐社会、保障未成年人基本权益的高度,充分认识流浪未成年人救助保护工作的重要性和必要性,建立以地方党委、政府强有力的支持为前提,以社会资源的有效整合为基础,以高效运转的部门与社会协作机制为依托的对流浪未成年人救助保护体系。     

Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic

As the coronavirus disease 2019 outbreak evolves, statistical network analysis is playing an essential role in informing policy decisions. Therefore, researchers who are new to such studies need to understand the techniques available to them. As a field, statistical network analysis aims to develop methods that account for the complex dependencies found in network data. Over the last few decades, the area has rapidly accumulated methods, including techniques for network modelling and simulating the spread of infectious disease. This article reviews these network modelling techniques and their applications to the coronavirus disease 2019 pandemic.