ON THE ECONOMIC INTERPRETATION OF THE BRÓDY CONJECTURE

The aim of the paper is to study the economic aspects of the Bródy conjecture: an increase in the size of a (random) input matrix causes a decline in the ratio of its subdominant and dominant eigenvalues and implies faster convergence to equilibrium [Bródy, A. (1997) The Second Eigenvalue of the Leontief Matrix. Economic Systems Research, 9, 253–258]. Simulation results provide evidence that this ratio depends inversely on the level of data aggregation and can therefore not be a good indicator of the speed of convergence of an economy to its equilibrium path. We show that this is consistent with findings based on actual input–output tables of EU member states. These results imply that theorems about the speed of convergence of random matrices are not useful in describing the cyclical dynamics of real economies.     

ANALYSING THE STRUCTURE OF THE ECONOMY USING PHYSICAL INPUT–OUTPUT TABLES

Analyses using physical input–output tables (PIOTs) are key to understanding the physical metabolism of economies, since they relate production to the generation of emissions and use of resources. Two methods have been developed to calculate the primary resources and emissions associated with a given final demand. However, one of these alters the PIOT, revealing different technical coefficients and Leontief inverse matrices. Which method should be used for structural analysis? In this paper, I compare both methods, explain the structural differences between them and illustrate the latter through a backward linkage analysis. I find that only one method is suited to the analysis of the physical structure of the economy, since it comprehends both the production of goods and associated emissions. The method is identified as a new model capable of tracing by-products as final outputs. Finally, I generalise both methods to analyse PIOTs including several emission types.     

置水火不相容要闻THE NEWS OF REAL ESTATE

泉州市计委重点办宣布，2004年泉州市65个重点建设项目已经确定，总投资规摸达490亿元，年度计划完成投资79．3亿元。其中交通能源、城市道路项目21个，农业、水利项目6个，城建项目10个，社会事业、信息工程12个，商贸项目6个，工业项目7个，工业区基础设施项目3个。     

AN APPLICATION OF AN INTEGRATED TRANSPORT NETWORK – MULTIREGIONAL CGE MODEL TO THE CALIBRATION OF SYNERGY EFFECTS OF HIGHWAY INVESTMENTS

A transportation network-multiregional CGE model is applied to estimate the synergy effects of a set of highway projects on value added by region and industrial sector. This synergy effect is defined as a difference between the summation of the net GDP increase from the development of each highway sub-link without spatial linkage and the change in GDP resulting from the concurrent development of all links with spatial linkages. Among nine east–west highways in Korea, the East–West 9 highway increases the GDP by 0.3% over the 30-year time period horizon, with 0.016% of the GDP due to the synergy effect. The East–West 9 highway has the largest synergy effect of US$0.164 billion per year on the manufacturing sector of Kwangju Metropolitan Area, resulting in a gain in a regional GRP per capita of US$15.88 per year. Since most synergy effects are generated in less developed regions, highway development can contribute to the reduction in regional disparities.     

TESTING ASSUMPTIONS MADE IN THE CONSTRUCTION OF INPUT–OUTPUT TABLES

Product input–output (IO) tables are mainly constructed on the basis of product and/or industry technology assumptions. The choice is not trivial and deserves empirical analysis using input and output data at the level of establishments. This paper offers input–output compilers econometric tests to facilitate the construction of tailored hybrid technology-based product IO tables. We provide weighted likelihood ratios of the product and industry technology assumptions. Although the proposed econometric tests are aimed to be used ex ante, we construct four variants of hybrid technology-based product IO tables using establishment data from Andalusia (Spain) and contrast them to the official product IO table and the pure product and industry technology-based tables. Our econometric tests are not valid for industry IO tables.     

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.     

WHITHER CONSUMER PROTECTION IN FINANCIAL MARKETS? LESSONS FROM THE FINANCIAL CRISIS OF 1857

Consumer protection regulation has not prevented a collapse of trust in financial markets. Theories underlying regulatory intervention require review. In the financial crisis of 1857, firms rather than public authorities restored consumer confidence. Future regulatory regimes may permit greater scope for market-based design of consumer protection measures.     

ON THE ENVIRONMENTAL IMPACT OF CONSUMER LIFESTYLES – USING A JAPANESE ENVIRONMENTAL INPUT–OUTPUT TABLE AND THE LINEAR EXPENDITURE SYSTEM DEMAND FUNCTION

In this study, we undertake some hypothetical experiments and predict the environmental effects of some changes in consumer behavior, using the Japanese Input–Output Table and the Family Income and Expenditure Survey for 2000. We estimate the demand function in a linear expenditure system (LES) and attempt to determine how changes in consumer behavior affect the environmental load induced by household consumption, using the ‘willingness to pay’ concept. Furthermore, we define an index to show the eco-efficiency of consumer behavior. Through such a study, we can determine what action is appropriate for a ‘sustainable consumption’ society. If some change of consumer behavior greatly improved utility while increasing the environmental load, then technological progress to reduce the environmental load must be stimulated. However, if other changes in consumer behavior increase the environmental load while not improving utility very much, then such changes should be strongly discouraged.     

WILL BUSINESS CYCLES IN THE EURO AREA CONVERGE? A CRITICAL SURVEY OF EMPIRICAL RESEARCH

Abstract.  This survey of business cycle synchronization in the European monetary union focuses on two issues: have business cycles become more similar, and which factors drive business cycle synchronization. We conclude that business cycles in the euro area have gone through periods of both convergence and divergence. Still, there is quite some evidence that during the 1990s business cycle synchronization in the euro area has increased. Higher trade intensity is found to lead to more synchronization, but the point estimates vary widely. The evidence for other factors affecting business cycle synchronization is very mixed.     

WHY ARE SOME PLACES RICH WHILE OTHERS ARE POOR? THE INSTITUTIONAL NECESSITY OF ECONOMIC FREEDOM

We survey perspectives on the economic differences between countries and argue that economic freedom is the key to prosperity. We close by outlining the policy implications. Specifically, removing obstacles to the exercise of economic freedom is an important step towards prosperity.     

MULTIPLICATIVE DECOMPOSITION AND INDEX NUMBER THEORY: AN EMPIRICAL APPLICATION OF THE SATO–VARTIA DECOMPOSITION

In de Boer (2008), additive decompositions of aggregate changes in a variable into its factors were considered. We proposed using the ‘ideal’ Montgomery decomposition, developed in index number theory as an alternative to the commonly used methods in structural decomposition analysis, and applied it to the example analyzed by Dietzenbacher and Los (1998) (D&L). In this paper we consider multiplicative decompositions and show that the method proposed by D&L of taking the geometric mean of all elementary decompositions is ‘ideal’. However, it requires the computation of an ever-increasing number of decompositions when the number of factors increases. As an alternative, we propose using the Sato–Vartia decomposition, which is also ‘ideal’, but requires the computation of only one decomposition. Application to the example of D&L reveals that the two methods yield results that are very close to each other.     

ON BRÓDY'S CONJECTURE: THEORY,FACTS AND FIGURES ABOUT INSTABILITY OF THE US ECONOMY

Bródy's conjecture regarding the instability of economies is submitted to an empirical test using input–output flow tables of varying size for the US economy, for the benchmark years 1997 and 2002, as well as for the period 1998–2011. The results obtained using input–output tables of various dimensions lend support to the view of increasing instability (in the sense of Bródy) of the US economy over the period considered. Furthermore, our analysis shows that only a few vertically integrated industries are enough to shape the behaviour of the entire economy in the case of a disturbance. These results may usefully be contrasted with those derived in a parallel literature on aggregate fluctuations from microeconomic ‘idiosyncratic’ shocks.     

UNCERTAINTY ANALYSIS FOR MULTI-REGION INPUT–OUTPUT MODELS – A CASE STUDY OF THE UK'S CARBON FOOTPRINT

This paper reviews and demonstrates methods available for estimating standard deviations for carbon multipliers in a multi-regional input–output (MRIO) framework. We attempt to capture all possible variations of underlying data and calculation procedures in a global MRIO model constructed with particular focus on the UK. We consider these variations to be random, and determine the stochastic variation of the whole MRIO system using Monte Carlo techniques. 5000 simulation runs were carried out to determine the standard deviations of multipliers. From these, the standard deviations of components of the UK's carbon footprint were estimated using error propagation. We estimate an 89% probability that the UK's carbon footprint has increased between 1994 and 2004.     

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.     

DOES IT PAY TO BE GREEN? AN EMPIRICAL EXAMINATION OF THE RELATIONSHIP BETWEEN EMISSION REDUCTION AND FIRM PERFORMANCE

Evidence can be marshalled to support either the view that pollution abatement is a cost burden on firms and is detrimental to competitiveness, or that reducing emissions increases efficiency and saves money, giving firms a cost advantage. In an effort to resolve this seeming paradox, the relationship between emissions reduction and firm performance is examined empirically for a sample of S&P 500 firms using data drawn from the Investor Responsibility Research Center's Corporate Environmental Profile and Compustat. The results indicate that efforts to prevent pollution and reduce emissions drop to the ‘bottom line’ within one to two years of initiation and that those firms with the highest emission levels stand the most to gain.     

CAN THE CARBONIZING DRAGON BE DOMESTICATED? INSIGHTS FROM A DECOMPOSITION OF ENERGY CONSUMPTION AND INTENSITY IN CHINA, 1987–2007

China has relied on energy to stimulate its booming economy. As a result, its share of world energy consumption rose to 17.3% in 2009 from 7.9% in 1978. Somewhat surprisingly, through 2000 its rate of energy consumption was about half its rate of economic growth. This trend changed after 2001 as energy consumption rose about 1.3 times more rapidly than did gross domestic product through 2005. Through heavy governmental influence, energy intensity subsequently reduced through 2007, but just marginally. This paper uses the structural decomposition approach to understand key drivers behind changes in China's energy intensity and its energy consumption from 1987 to 2007. In our model, energy intensity change was decomposed into five factors: changes in energy efficiency, changes in share of value added, changes in input structure, changes in consumption structure, and changes in consumption volume. This paper provides insights into how changes in China's economic structure, technology, urbanization, and lifestyle affect energy intensity and energy consumption.     

MIGRATION FROM THE NORTHEAST TO THE SOUTHEAST IN BRAZIL:* Do Migrants Succeed?

"In this paper 1980 [Brazilian] Census microdata are used to evaluate the experiences of males who moved from the Northeast to the Southeast in the post- 'miracle' period. Using regression analysis, migrant earnings are compared to those of persons who remain in the Northeast, to estimate the average earnings gain from relocating. These results are then disaggregated by education, age at migration, period of residence, and particular sending and receiving location, to provide more specific information on which groups benefit most. Wide variation in gains is observed, but substantial improvements in earnings are reported in most cases."     

REFLECTIONS ON THE INOPERABILITY INPUT–OUTPUT MODEL

We argue that the inoperability input–output model is a straightforward – albeit potentially very relevant – application of the standard input–output model. In addition, we propose two less standard input–output approaches as alternatives to take into consideration when analyzing the effects of disasters or disruptions.