Energy import costs in a flexible input-output price model

A fundamental assumption of the input-output (IO) model is a fixed relationship between interindustry flows. In the price version of the model, the assumption of fixed-coefficients prevents the optimal mix of inputs being adjusted when relative prices change. The aim of this paper is to evaluate the role of energy import prices in the IO price model without the usual non-substitution technology inherent to the input-output structure. The analysis includes alternative substitution possibilities for the elements that comprise the sectoral costs, which are empirically implemented from an IO dataset. The various substitution scenarios are defined by three different cost structures: the Leontief, Cobb-Douglas and Constant Elasticity of Substitution (CES) functions. The empirical application to the Catalan economy illustrates the relevance of the flexibility option used for explaining the quantitative influence of energy import prices on domestic prices. Adapting the traditional input-output model to include factor substitution makes it possible to overcome the rigidity in transmitting price impacts, and illustrates a range of possible effects.     

Estimation errors in input–output tables and prediction errors in computable general equilibrium analysis

We used 1995–2000–2005 linked input–output (IO) tables for Japan to examine estimation errors of updated IO tables and the resulting prediction errors in computable general equilibrium (CGE) analysis developed with updated IO tables. As we usually have no true IO tables for the target year and therefore need to estimate them, we cannot evaluate estimation errors of updated IO tables without comparing the updated ones with the true ones. However, using the linked IO tables covering three different years enables us to make this comparison. Our experiments showed that IO tables estimated with more detailed and recent data contained smaller estimation errors and led to smaller quantitative prediction errors in CGE analysis. Despite the quantitative prediction errors, prediction was found to be qualitatively correct. As for the performance of updating techniques of IO tables, a cross-entropy method often outperformed a least-squares method in IO estimation with only aggregate data for the target year but did not necessarily outperform the least-squares method in CGE prediction.     

Spillover effects of innovation: Taiwanese evidence

This article evaluates spillover effects of innovation of Taiwan's industries by using the input–output (IO) analysis framework. On the basis of IO tables for the years 1981, 1986 1991 and 1996, the structure, magnitude and ranking list of the spillover effect of innovation are revealed. Additionally, several findings are also achieved from the empirical results. First, the spillover effect of process innovation is stronger and about more than twice the spillover effect of product innovation in Taiwan. Furthermore, Taiwan's industries manifest a dispersive technological distribution structure and the spillover effect of the process innovation is more dispersive than that of product innovation. Moreover, Taiwanese industries are rather dependent on foreign technologies, particularly in terms of product innovation.     

Domestic segment of global value chains in China under state capitalism

This paper studies the relationship between the changing domestic segment of global value chains and the return of state capitalism in China. To this end, we propose a method to estimate an extended input-output (IO) table that tracks inter-sector transactions between different types of firms in a domestic economy. The method is an application of constrained optimization, which relies on basic information from a country's national IO table, as well as sector- and firm-level data. We also propose a way to construct bootstrapped standard errors for any global value chain (GVC) measures estimated from the extended IO tables. We then use the extended IO table to study the domestic segment of GVC in China. We find that, not only is state-owned enterprises’ (SOEs) domestic value-added to gross exports ratio much higher than those of other firms, but it also increased significantly from 1.2 in 2007 to 1.7 in 2010. Our findings suggest that, even after years of privatization, SOEs still play an important role in shaping China's exports.     

中国产业间的技术溢出效应:基于35个工业部门的经验研究

本文利用中国1997、2002、2007年投入产出表,测算了35个工业部门1997—2008年历年的产业相似度矩阵,并以此为权数构建了衡量产业间技术溢出的指标。通过将产业间技术溢出指标引入到产业部门的生产函数当中,分析了产业间技术溢出对中国工业部门劳动生产率的影响。结果表明:产业部门间的技术溢出对工业各部门劳动生产率有着显著的正面影响,产业间技术溢出的生产率弹性值约为0.348,高出各产业直接R&D投入的影响。固定窗宽的滚动估计表明,随着时间的推移,35个工业部门的产业间技术溢出效应呈扩大趋势;而对相似性聚类后的4大类产业的进一步分析表明,同一相似类内部产业之间技术溢出效应比4类之间的技术溢出效应平均说来更加显著一些。     

Inequality of Opportunity in Europe

Using the EU‐SILC database, we estimate and compare the Inequality of Opportunity (IO) of 23 European countries in 2005. IO is estimated as the between‐type (ex‐ante) inequality component following the parametric procedure of Ferreira and Gignoux (2011 ), which allows for the inclusion of the large set of circumstances in the database. We also measure the degree of correlation between IO estimates and a set of past and contemporaneous economic factors related to the degree of development, labor market performance, investment in human capital, and social protection spending.     

城镇化、城乡消费比例和结构对居民消费间接CO2排放的影响*

本文利用投入-产出分析法计算了我国居民消费间接CO2排放量,并应用结构分解分析（SDA）方法分析了城镇化、城乡消费比例、消费结构等因素对居民消费间接CO2排放的影响。研究结果发现：（1）城镇化的扩张和消费结构的升级是增加我国居民消费间接CO2排放的重要因素,尤其是食品、居住和交通通讯是导致居民消费间接CO2排放的主要部门;（2）城乡消费比例和排放强度对居民消费间接CO2排放具有明显的抑制作用;（3）人均消费的提高对居民消费间接CO2排放增长贡献最大。最后,本文基于实证结果提出了减少我国居民消费间接CO2排放的政策建议。     

Neural network forecasts of input-output technology

A significant part of the literature on input-output (IO) analysis is dedicated to the development and application of methodologies forecasting and updating technology coefficients and multipliers. Prominent among such techniques is the RAS method, while more information demanding econometric methods, as well as other less promising ones, have been proposed. However, there has been little interest expressed in the use of more modern and often more innovative methods, such as neural networks in IO analysis in general. This study constructs, proposes and applies a Backpropagation Neural Network (BPN) with the purpose of forecasting IO technology coefficients and subsequently multipliers. The RAS method is also applied on the same set of UK IO tables, and the discussion of results of both methods is accompanied by a comparative analysis. The results show that the BPN offers a valid alternative way of IO technology forecasting and many forecasts were more accurate using this method. Overall, however, the RAS method outperformed the BPN but the difference is rather small to be systematic and there are further ways to improve the performance of the BPN.     

Asymmetric effects of trade costs on entry modes: Firm level evidence

Standard foreign direct investment (FDI) theory suggests that falling trade costs should discourage horizontal FDI. Most FDI is horizontal. Yet, the world witnessed an FDI boom in 1990s, a period of striking falls in trade barriers. This paper carries out an empirical analysis with rich, firm-level data on the activities of Swedish multinationals around the globe in manufacturing sectors from 1987 to 1998 to shed light on this apparent conflict. The analysis is based on the predictions of a recent literature with an industrial organization (IO) angle: Trade costs have asymmetric effects on foreign expansion modes. This view posits that falling trade costs encourage entry realized as mergers and acquisitions (M&As), one of the potential explanations for the conflict between received theory and recent trends in FDI. Empirical results confirm the findings of this recent literature and add to it by testing its extensions.     

EE-IO modeling of the environmental impacts of Finnish imports using different data sources

The environmental impacts of Finnish imports were modeled using alternative emission datasets. The first dataset was based on domestic technology assumptions from the Finnish environmentally extended input-output (EE-IO) model. In the second dataset, emissions of the largest volumes of imported goods were substituted for EIOLCA (USA) data and in the third option for data from Ecoinvent and the Danish LCA Food Database. Comparative results show that the environmental impacts of imports based on domestic emission intensities are mostly lower than the alternative approaches. Considering the high level of Finnish environmental protection we concluded that the impacts of imports are underestimated using domestic emission intensities. Additionally, we concluded that hybrid IO modeling will increase the accuracy of IO modeling by using process-based data for the most relevant material flows until a multi-regional IO model for Finland has been developed.     

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.     

Entry into exit: insolvency in English professional football

This study uses a unique database of financial accounts for English football clubs between 1974 and 2010 to examine the process by which firms fail, which in this context means entering insolvency proceedings. From the data it is possible to estimate shocks to demand and productivity and to show that failing firms typically experience a series of negative shocks. This is consistent with the standard IO theory models of exit.     

An empirical research of crude oil price changes and stock market in China: evidence from the structural breaks and quantile regression

This article investigates the relationship between real crude oil price changes and the Chinese real stock market at the industry level. Our study uses monthly data over the period 1994:03 to 2013:12. Based on input–output (IO) tables, this article will explore more details for the driving factors of sensitivity to oil price changes. We divide these driving factors into cost- and demand-side dependence. Empirical results reveal that sensitivity varies across different industries and periods based on structural breaks and asymmetric effects of oil price changes. Furthermore, some industries seemingly not directly affected by oil are sensitive to the real oil price changes. Finally, using a penalized quantile regression for panel data, we find that these two factors significantly affect lower, but not upper, quantile of sensitivity.     

渑池县旅游产业组织研究

以产业组织理论为基础,初步提出了旅游产业组织的概念体系,并以河南省渑池县为例进行了初步研究。指出旅游产业组织是一个以市场为导向的旅游产品营销系统工程,其目的是追求旅游产业的可持续发展及效益的最优化。     

LIMITED COMMITMENT MODELS OF THE LABOUR MARKET

We present an overview of models of long-term self-enforcing labour contracts in which risk-sharing is the dominant motive for contractual solutions. A base model is developed that is sufficiently general to encompass the two-agent problem central to most of the literature, including variable hours. We consider two-sided limited commitment and look at its implications for aggregate labour market variables. We consider the implications for empirical testing and the available empirical evidence. We also consider the one-sided limited commitment problem for which there exists a considerable amount of empirical support.     

Towards a global multi-regional environmentally extended input-output database

This paper presents the strategy for a large EU-funded Integrated Project: EXIOPOL (“A New Environmental Accounting Framework Using Externality Data and Input-Output Tools for Policy Analysis”), with special attention for its part in environmentally extended (EE) input-output (IO) analysis. The project has three principal objectives:

(a)

to synthesize and further develop estimates of the external costs of key environmental impacts for Europe;

(b)

to develop an EE IO framework for the EU-27 in a global context, including as many of these estimates as possible, to allow for the estimation of environmental impacts (expressed as LCA themes, material requirement indicators, ecological footprints or external costs) of the activities of different economic sectors, final consumption activities and resource consumption;

(c)

to apply the results of the work to external costs and EE I-O for illustrative policy questions.

     

Understanding and forecasting aggregate and disaggregate price dynamics

There are doubts regarding the empirical benefits of forecast aggregation. Theoretical research clearly supports forecast aggregation but conflicting results exist in the empirical literature. We search the literature for empirical regularities. One important issue often cited is estimation error and papers which are unsupportive of forecast aggregation often have short spans of data. A second empirical regularity is that researchers frequently use a relatively small number of disaggregates. Our work finds that the greatest benefits to aggregation are realised when a large number of disaggregates are used. This is a natural consequence of the theoretical results. A second critical issue in forecast aggregation is model selection. We suggest a simple guide to model choice based on the empirical properties of the data. In this regard, the extent of comovements between the constituent series determines model choice.     

COUNSELING AND MONITORING OF UNEMPLOYED WORKERS: THEORY AND EVIDENCE FROM A CONTROLLED SOCIAL EXPERIMENT*

We investigate the effect of counseling and monitoring on the individual transition rate to employment. We theoretically analyze these policies in a job search model with two search channels and endogenous search effort. In the empirical analysis we use unique administrative and survey data concerning a social experiment with full randomization and compliance. The results do not provide evidence that counseling and monitoring affect the exit rate to work. Monitoring causes a shift from informal to formal job search. We combine our empirical results with the results from our theoretical analysis and the existing empirical literature, to establish a comprehensive analysis of the effectiveness of these policies.     

Specification and Aggregation Errors in Environmentally Extended Input–Output Models

This article considers the specification and aggregation errors that arise from estimating embodied $\text{ CO }_{2}$ emissions and embodied water use with environmentally extended national input–output (IO) models, instead of with an environmentally extended international IO model. Model specification errors result from the use of domestic environmental and domestic technology coefficients to estimate emissions or resources that are embodied in international trade. For $\text{ CO }_{2}$ footprints, unacceptably large overestimations arise from using domestic emission coefficients, which are only partly canceled out by using domestic technology coefficients. For water use footprints both specification errors are smaller, but hardly cancel out. Sectoral aggregation errors occur when combining the 129 EXIOPOL industries to 59 EU industries and 10 broad sectors. The latter aggregation creates the largest errors. Spatial aggregation errors arise from combining 43 individual EXIOPOL countries in four broad regions and “the rest of the world”. Substantial, unacceptable errors occur again, now especially in relation to water use.     

The neglected effects of demand characteristics on the sustainability of collusion

According to standard IO models, the parameters that characterize market demand (intercept, slope, and elasticity) and technology (the level of symmetric marginal costs) do not play any role in defining the sustainability of collusive behaviors in Bertrand oligopolies. This paper modifies this counterintuitive result by showing that all of the aforementioned factors do indeed matter when prices are assumed to be discrete rather than continuous. The sign of these effects is clear. Their magnitude varies greatly; i.e., in some cases, it is totally negligible, while in others, it becomes extremely relevant.