CONSTRUCTION OF MULTI-REGIONAL INPUT–OUTPUT TABLES USING THE CHARM METHOD

Subnational multi-regional input–output tables (IOT) are important tools for studying interregional socio-economic and/or environmental interrelations that help to address a wide range of current societal, ecological and economic challenges. However, the lack of subnational input–output data is a major obstacle which leads to a wide use of non-survey methods. Like other non-survey methods, the cross-hauling adjusted regionalization method (CHARM) was originally developed for the construction of single-regional IOT. In this paper, we extend CHARM to the case of bi- and multi-regional IOT. We find that the original CHARM formula has two limitations that are also of great importance for the single-regional case: First, cross-hauling in interregional trade is implicitly set to zero and, second, accounting balances may be violated owing to structural differences between the regional and national economies. We present a modified formula addressing these issues and examine its performance in terms of a case study.     

Appropriate assumption on cross-hauling national input–output table regionalization

Input–output tables are useful for regional economic analyses. Although scholars often regionalize national input–output tables, cost-related issues make surveying regional trade flow difficult; hence, non-survey approaches are implemented instead. While location quotient (LQ) approaches have been used widely, they ignore cross-hauling in interregional trade. Therefore, alternative non-survey approaches with different assumptions on cross-hauling are used, such as cross-hauling depends on regional size and cross-hauling is proportional to its potential determined by output or demand. This study concludes that the most appropriate assumption, as per the relative performance of non-survey approaches, is that cross-hauling is in proportion to trade volume.     

Negotiating ‘solidarity’ and internationalism: the response of Polish trade unions to migration

In the context of massive outward migration after Poland's accession to the EU in 2004, this article explores the possibilities for cross‐border collaboration by Polish trade unions. The findings are based on interviews with the two main trade union/trade union federations, Solidarity and Ogolnopolskie Porozumnie Zwi?zków Zawodowych: All‐Poland Alliance of Trade Unions, at national, regional and sectoral levels. Examining the issues and challenges faced by Polish trade unions in terms of loss of membership and social capital, the article also evaluates the significance of Poland's status as a country of some inward migration. It is argued that cross‐border trade union collaboration has become an even more urgent project as the economic crisis intensifies competition in the labour market and increases the potential for xenophobia.     

Factors driving sectoral and occupational employment changes during the Spanish boom (1995–2005)

Spain's economy grew at a real annual average rate of over 3.5% between 1995 and 2005. Total employment increased by more than five million. This process altered the sectoral and occupational structure of employment. The dynamics of final demand, technology and labour requirements linked to technology and labour market institutions mostly drive shifts in the structure of employment. We analyse their effects and relative weights on private employment growth in an input–output framework, by means of structural decomposition. The analysis of the occupational structure is a novelty. Sectoral and occupational structures of employment are receiving a great deal of attention: the productivity growth and economic prospects of service economies and the debate between skilling and polarization are, respectively, the main issues. This paper provides useful insights on the dynamics of the structure of employment during a process of vigorous job growth.     

Spatial and sectoral characteristics of China’s international and interregional virtual water flows – based on multi-regional input–output model

This paper provides a systematic analysis of spatial and sectoral characteristics and changes in virtual water flows associated with China’s interregional and international trade based on the China interregional input–output tables of 2002 and 2007. The results show significant improvement in water use efficiency between 2002 and 2007. However, the general spatial patterns and sectoral components of virtual water flows have more or less remained during the period. Almost all Chinese provinces are net exporters of virtual water in international trade. In interregional trade, the dominant direction of virtual water flow is from peripheral provinces to eastern coastal provinces. The agricultural sector plays an important role in shaping this direction and has significant impacts on water uses in exporting provinces, some of which are water scarce. The results of this study clarify some confusions concerning mismatches between regional water endowments and virtual water trade within China and with other countries.     

A CARBON FOOTPRINT TIME SERIES OF THE UK – RESULTS FROM A MULTI-REGION INPUT–OUTPUT MODEL

The framework and results of an international multi-region input–output (MRIO) model for the UK are presented. A time series of balanced input–output tables for the UK was constructed for the period 1992 to 2004 by using a matrix balancing procedure that is able to handle conflicting external data and inconsistent constraints. Detailed sectoral and country-specific trade data for the UK were compiled and reconciled with the UK input–output data, and economic and environmental accounts for three world regions were integrated in a UK-specific MRIO model. This was subsequently used to calculate a time series of national carbon footprints for the UK from 1992 to 2004. Greenhouse gas emissions embedded in UK trade are distinguished by destination of imports to intermediate and final demand. Most greenhouse gases show a significant increase over time in consumer emissions and a widening gap between producer and consumer emissions. Net CO₂ emissions embedded in UK imports increased from 4.3% of producer emissions in 1992 to a maximum of 20% in 2002. The total estimated UK carbon footprint in 2004 was 730 Mt for CO₂ and 934 Mt CO₂ equivalents for all greenhouse gases.     

Vertical mergers and the balance of trade

This paper examines the relationship between the vertical merger and the balance of trade. Our results show that the effects of the vertical merger on the trade balance and consumers' welfare depend on the production technology adopted by the final good manufacturers. The vertical merger will improve both the trade balance and consumers' welfare when fixed-coefficient technology is adopted. However, these positive effects could not be held when variable-coefficient technology is used to produce the final good.     

De-industrialization and comparative advantage in the global value chain

We investigate the causes of de-industrialization and potential for re-industrialization using trade-linked input–output data from WIOD. By introducing a new global value chain measure of comparative advantage, we relate a sector's share in domestic final demand to that in production and separate the direct effect of trade on its income share. This method identifies the declining share of manufacturing value added in domestic final expenditures to be the main cause of de-industrialization. Differences in comparative advantage between countries do matter, especially in the case of employment shares, but have a limited impact via the direct trade effect on value added. The findings point to a peculiar paradox of industrial policy: precisely when it is successful in raising competitiveness and hence productivity growth of manufacturing, it also furthers the global decline of relative prices in manufacturing. In contrast to the national objectives of re-industrialization, effective industrial policies accelerate de-industrialization in the global economy.     

General Equilibrium Analysis of International TFP Growth Rates

The paper presents a study of the total factor productivity (TFP) performance among developed countries between 1985 and 1990. The analysis includes the three large economies: the US, Japan and Europe. A general equilibrium model of these economies is used to estimate TFP growth at the sectoral and at the aggregate levels. The model is based on the fundamentals of the economies and employs only data on input-output flows, factor inputs across sectors, consumption and trade patterns and endowments. Prices are endogenous in the model. They are obtained as shadow prices from the model's linear program and then used to measure TFP growth and decompose it in a technical change effect, a demand effect and a terms-of-trade effect. The technical change effect is highly correlated with the conventional Solow residual measure. This result lends support to the standard measure of technological change.     

The Effect of Import Competition on Firm Productivity and Innovation: Does the Distance to Technology Frontier Matter?

How does foreign competition affect growth and innovation in China? Using our unique measures of proximity of Chinese firms and industries to the world technology frontier, we find that despite vast sectoral heterogeneity, Chinese manufacturing industries have undergone rapid technological upgrading over the period of 2000–06. The distance to the world production frontier of firms and industries plays an important role in shaping the nexus between the competition pressure from foreign imports and domestic firms' growth and innovation behaviour. Our results support the theoretical predictions of Aghion et al. (2005, The Quarterly Journal of Economics, pp. 701–728) that import competition stimulates the domestic firms' productivity growth and R&D expenditure if firms and their industries are close to the world frontier, but discourages such incentives for laggard firms and industries. The two forces highlighted by the model operate for imports under the ordinary‐trade regime, for collective and private firms, and for imports originated from high‐income countries. Our findings are robust after controlling the influence of foreign investment, the reverse causality of regressors and the short‐term business cycle fluctuations.     

Make and Use Approaches to Regional and Interregional Accounts and Models

Institutional, or sector-by-sector input–output tables have traditionally been used in regional and interregional modelling. This paper examines the origins of this tradition and argues instead, both theoretically and empirically, for the integration of make and use submodels within models of production, demand and interregional trade, outlining the manner in which they can be integrated. Further, it is argued that structural rather than reduced-form models represent a sounder theoretical base. Finally, a Danish interregional model (LINE) based on a social accounting matrix framework that employs these principles is presented. The paper also deals with the issue of data construction at the regional and interregional levels, based on the make and use approach. It is argued that when data are constructed at a low level of sectoral and spatial aggregation under accounting consistency constraints, data quality and validity are high.     

Building a national innovation system through regional innovation systems

This paper deals with the effective formulation and implementation of a national innovation system. It emphasizes that a concept of regional innovation system is a good tool to generate an effective national innovation system, as it can effectively create different sectoral innovation systems in different regions. Based on this theoretical review, this paper analyzes Korean regional innovation systems in terms of mapping of innovation actors. It concludes that the Korean national innovation system is relatively weak, as it has only three advanced regional innovation systems. However, it tells that there are six fast developing regional innovation systems and seven less developed regional innovation systems. They should be refined and further developed based on the active support by the central government, some policy measures for activating interactive learning between innovation actors, and also the close cooperation between the central and regional governments.     

Forecasting macroeconomic variables using disaggregate survey data

We construct factor models based on disaggregate survey data for forecasting national aggregate macroeconomic variables. Our methodology applies regional and sectoral factor models to Norges Bank’s regional survey and to the Swedish Business Tendency Survey. The analysis identifies which of the pieces of information extracted from the individual regions in Norges Bank’s survey and the sectors for the two surveys perform particularly well at forecasting different variables at various horizons. The results show that several factor models beat an autoregressive benchmark in forecasting inflation and the unemployment rate. However, the factor models are most successful at forecasting GDP growth. Forecast combinations using the past performances of regional and sectoral factor models yield the most accurate forecasts in the majority of the cases.     

技术性贸易措施应对活动中信息资源交流初探

有效的信息交流是开展技术性贸易措施应对活动的基础条件,这些信息涉及相关的技术标准、技术法规、产品进出口的检测与贸易数据,以及技术发展趋势等诸多方面。技术性贸易措施的信息交流可分为行业、跨行业等不同层面。为促进信息交流活动的开展,建议推动地方与行业信息平台建设,促进国家、地方、行业间的信息交流与互动;突出行业组织在信息交流中的地位;建立健全并规范技术性贸易措施信息管理与交流的制度。     

On the Importance of Sectoral and Regional Shocks for Price‐Setting

We use novel disaggregate sectoral‐regional euro‐area data to investigate the sources of price changes, introducing a new method to extract factors from overlapping data blocks that allows for estimation of aggregate, sectoral, country‐specific and regional components of price changes. Our sectoral component explains much less variation in disaggregate inflation rates and exhibits much less volatility and more persistence than previous findings for the US indicate. Country‐ and region‐specific factors play an important role, emphasizing heterogeneity of inflation dynamics along both sectoral and geographical dimensions. Our results are incompatible with basic sticky‐information or Calvo‐type price‐setting models, but require multi‐sector, multi‐country models. Copyright © 2015 John Wiley & Sons, Ltd.     

The Australia-United States Free Trade Agreement: An economic evaluation

A bilateral Free Trade Agreement (FTA) between Australia and the United States came into effect on 1st January 2005. Since the U.S. is one of the main trading partners for Australia, it was anticipated that the FTA would bring a substantial increase in Australia's bilateral trade with the United States. It would also have important implications for Australia's other main trading partners such as Japan, and China. This paper seeks to provide a quantitative assessment of the impact of the FTA by undertaking simulations using the Global Trade Analysis Project (GTAP) model. By simulating the GTAP multi-country CGE model, the paper evaluates various economy-wide effects, sectoral level effects, and trade diversion and trade creation effects in the two countries in response to bilateral free trade. It will also identify the effects on trading partners outside the FTA. The results will provide a preliminary indication of the magnitude of welfare gains involved.     

Academic scholarship,organization prestige,and the earnings of U.S. business school deans

This study models the market for business school deans as an outcome of a differential game between a university's central administration and the job candidates in the market for business school deans. In our model, the ability of a business school dean to advance the organization is enhanced by his or her own scholarly reputation, such that a job candidate chooses an optimal level of scholarship that relates to his or her marketability. In this way, the supply of scholarship (by job candidates) can be seen as the supply of job candidates in the market for business school deans, whereas the demand for scholarship can be seen as the demand for business school deans. The main features of our game‐theoretic model are tested using data from both national and regional business schools and colleges in the U.S. Econometric results indicate that each additional scholarly contribution by a business school dean generates a wage premium ranging from $1,000 to $1,200, whereas in the case of national institutions, each additional student enrolled at the doctoral (master's) level raises the wage by $671 ($56). Lastly, the production of between nine and 10 scholarly contributions is found to be necessary in order to face a 50% probability of holding a business school deanship at a national institution, whereas production of about 37 scholarly contributions leads to a 50% probability of holding a deanship with a named business school at a national institution.     

Measuring Credit Risk of a Bank's Corporate Loan Portfolio Using Advanced Internal Ratings Base Approach

Abstract

The use of technical and advanced approaches in the measurement of credit risk of banks' portfolios has nowadays become a very hot issue. The most recent technical report issued by the Basel Committee in May 2003 has concentrated heavily on the measurement of credit risk using either foundation or advanced Internal Ratings Base (IRB) approaches. This empirical research study attempts to measure credit risk of a bank's corporate loan portfolio, including firms from 10 different Turkish sectors. The monthly observations of the total amount of corporate loans and the total amount of corporate loans at default across various sectors are downloaded from the web page of Central Bank of Turkey (CBT) in a period of 1999-2002. This period covers 47 monthly observations since CBT has captured sectoral corporate loans beginning of 1999. Therefore, the observed sectoral default rates are needed to be simulated to obtain a nicely shaped distribution. Monte Carlo simulation is applied for 1,000 times. Based on the simulated default rates, the expected sectoral default rates are computed. Next, a credit quality rating scale is fitted into sectoral default rates distributions. Finally, the sectoral weights in the whole loan portfolio are multiplied by the expected sectoral default rates matrix, considering cross-sectoral correlations to get the total amount of the bank's credit risk and capital requirement. It is assumed that sectoral monthly default rates are a good representative of the default risk of a sample bank's corporate loan portfolio since no publicly available data on any particular bank's corporate loan portfolio composition exists. Nevertheless, this research may be a good application for measuring the credit risk of banks' corporate loan portfolios using advanced IRB approach.     

Optimal targeting with entry

We study an advertising agency's optimal choice of targeting technology with endogenous market structure, namely, when targeting changes firms' entry strategies into the advertising and product market. We show that the advertising agency faces a trade‐off between demand‐expansion and profit‐dissipation: The former arises as targeting induces more entry and increases the demand for advertising; the latter refers to that targeting relaxes competition by inducing more differentiation. We show that perfect targeting is not optimal for the advertising agency. Compared to social optimum, the advertising agency underinvests in targeting when investment cost is low and overinvests when targeting is costly.     

A Property of the Leontief Inverse and its Applications to Comparative Static Analysis

We arbitrarily choose a submatrix of order 2 in the Leontief inverse matrix B . If a main diagonal element in the submatrix is a main diagonal element in B , then the determinant of the submatrix is non-negative; in particular, if the two main diagonal elements in the submatrix are all the main diagonal elements in B , then the determinant of the submatrix is greater than or equal to 1. This property can be used in the comparative static analysis for the input-output model. For example, when the change only occurs in one sectoral final demand or one corresponding row of the input coefficient matrix, which leads to a change of this sectoral gross output, the equivalent conditions that the absolute value of the rate of change of this sectoral gross output is larger than or equal to all other sectoral change rates and larger than at least one sectoral rate of change are shown. It is impossible to derive the exact results for the comparative static analysis if the property is not applied. A previous fault confirms this point.