Bayesian selection of technology assumptions for the transformation from supply-use to input–output tables

ABSTRACT

In the construction of input–output models from supply-use tables, technology assumptions disambiguate how an industry uses inputs in the production recipe of multiple outputs. This paper uses Bayes' theorem to select technology assumptions, taking into account empirical observations. The paper presents a formulation to explore hybrids between product and industry technology assumptions in product-by-product tables. We then present Markov chain Monte-Carlo techniques to implement the Bayesian method for selecting technology assumptions. We apply the method in a case study using Eurostat supply-use tables of 2004 and 2005, exhibiting a volume of secondary products of less than 13%, and 59 products and industries per country. The results show that the choice of technology is not important, given that there is no strong evidence in favour of any of them.     

New multi-regional input–output databases for Australia – enabling timely and flexible regional analysis

ABSTRACT

Decision-making at regional scales requires timely information. Within four months of the release of official national statistics, we have produced a time-series (2008–2015) of balanced sub-national, multi-regional supply-and-use tables (MR-SUT), integrated with a set of socio-economic and environmental accounts. This was achieved using the Australian IELab, where data used in this study are available (https://ielab.info/resources/91). Four multi-regional, environmentally extended supply-use tables regionalised in different ways were produced to demonstrate the flexibility of tailoring input–output models to specific research or policy questions. Results for satellite coefficients are sensitive to the chosen regional grouping and method for regionalisation. We demonstrate the relevance of such purpose-built information to government and corporate decision-makers by analysing the indirect economic and employment consequences of a slowdown of the mining boom in Western Australia. The demonstrated innovations in flexibility and timeliness will help move past some of the limitations that have historically hindered the uptake and utility of applied input–output analysis.     

Returns to scale in the United States intercity bus industry

This paper has taken into account the a priori restrictions available from neoclassical cost theory in evaluating the relationship between cost and the level of output and input prices for U.S. intercity bus service. A general translog cost function is used which allows tests of the degree of returns to scale, homotheticity and non-constant elasticities of substitution among input pairs. Major empirical findings are: (i) the intercity bus service can be modeled by a homothetic production function, (ii) operators can substitute labor for capital by using vehicles more extensively, (iii) there are potential economies of scale in the provision of intercity bus service, and (iv) the Cobb-Douglas functional form used in earlier studies of the industry is inappropriate.     

Do stable strategic time periods exist? Towards new methodological and theoretical insights

This paper investigates a fundamental issue in the current research on strategic groups: the existence or non‐existence of the so‐called ‘stable strategic time periods’ (SSTPs). Our study provides new evidence by adding new methodological and theoretical insights. The research setting is the Spanish banking industry over a 15‐year period, 1983–1997. Unlike all prior longitudinal research that found SSTPs, the multi‐method procedure that we used in this study (i.e. equality of variance and covariance matrix and mean vector of strategic variables and a subsequent grouping analysis performed through the MCLUST) has led us to reject the existence of SSTPs in the industry under study. Based on these original findings, we conclude by suggesting a proposition which should be corroborated in future empirical studies on strategic groups. Copyright © 2007 John Wiley & Sons, Ltd.     

WHU Invitation and Call for Applications

Abstract

The discussion reinforces and expands on some of the fundamental issues about endogeneity raised by Chenhall and Moers (European Accounting Review, this issue, pp. 173–195). We focus on the econometric problems researchers encounter when investigating the performance effects of some endogenous firm choice. Our points are illustrated using the classic research question about the relation between managerial equity ownership and firm value. We consider cases where ownership is treated as an exogenous, endogenous and ‘partially’ endogenous variable. We argue treating ownership as an exogenous variable is seriously flawed. Unfortunately, when ownership is at least partially endogenous, it is necessary for empirical researchers to identify exogenous variables that are the determinants of the ownership choice. This calls for better theory to guide the empirical work.     

Interindustry Analysis with Social Accounting Methods

This paper evaluates the role of income-expenditure linkages in interindustry analysis. Using matrix decomposition methods and a social accounting matrix of the USA, it is shown that multiplier estimates which omit such linkages are not reliable measures of the effects of exogenous shocks upon industrial output and income. The paper further applies the decomposition method to study relative income determination between sectors, i.e. how the composition of national product changes in response to exogenous shocks.     

Empirical research consolidation: a generic overview and a classification scheme for methods

I define research consolidation as comparing and combining (amalgamating or, at least, juxtaposing) results or other output from multiple previously conducted research activities, relevant to a goal or topic of interest. The concept, not limited to empirical research or any specific method, is similar to and subsumes what is often referred to as research synthesis or research integration; I explain the concept and my rationale for the new term. After introducing the broader concept, I focus on consolidation of empirical research. As background for this, I offer a brief introduction to empirical research. Then I provide a generic overview of empirical research consolidation, abstracted from several of its specific methods, such as quantitative meta-analysis and qualitative meta-synthesis; this sort of overview—method agnostic and capturing the commonality—is not readily available in the literature. At the core of the paper, I propose a scheme to classify methods for empirical research consolidation followed by a review and classification of selected methods, illustrating the scheme. I also discuss and clarify related terminology. The classification scheme differentiates between two major attributes of methods—consolidation technique and type of content to be consolidated—that may reflect the positivist or constructivist research paradigm. Consolidation techniques could be aggregative, interpretive, or a combination thereof. Content consolidated, from empirical research reports, could be empirical or not and could be from quantitative research, qualitative research, other kinds of empirical research, or a combination thereof.     

Assessing efficiency and innovation in the 3PL industry: an empirical analysis

ABSTRACT

The Third-party Logistics (3PL) industry is facing both important growth rates and increasing competitive pressure. 3PL providers are required to continuously sustain a more and more competitive cost structure (i.e. efficiency) and develop capabilities to improve their services (i.e. innovation); hence, the evaluation of these key success factors is considered a key issue. This paper develops a quantitative analysis of 71 Italian 3PL providers by using Data Envelopment Analysis to jointly assess efficiency and innovation. Furthermore, through a case study research, it corroborates the quantitative results by investigating the strategies of best-in-class companies. Results allowed identifying 13 3PL providers as efficiency leaders and 6 as leaders from both the efficiency and the innovation side. Their input composition indicates a diversification of the business models. A breakdown of the analysis by size and industry focus, along with empirical evidence on the strategies enhancing efficiency and innovation, is also provided.     

Increasing the Timeliness of US Annual Input-Output Accounts

The timeliness of the US input-output (I-O) accounts is a major concern for policymakers and industry analysts, as well as academics. In response, the Bureau of Economic Analysis initiated research in 2001 to identify, develop and implement an estimating method for producing more timely and reliable annual I-O accounts than are currently available. The research included reviewing the frameworks and methods currently used by other statistical agencies and academic researchers, obtaining more timely industry source data, and developing enhanced methods and processes for the automated updating and balancing of annual I-O tables. The results of this research indicate that our new automated updating and balancing method can reduce the time lag for producing the annual I-O accounts from three years to one year without reducing quality. Our method is based on an adjusted RAS process that simultaneously balances the I-O table in producers' and purchasers' prices; uses more exogenous data; and processes tables at the most detailed level.     

Filtration enlargement-based time series forecast in view of insider trading

This survey reviews filtration enlargement models in view of insider trading. Although filtration enlargement aptly models insiders' informational advantage, the theoretical results have not attracted the attention of the empiricists, owing mainly to the lack of a bridge transforming the results to testable hypotheses, and/or the absence of econometrics method linking the hypotheses and the data. This survey provides a feasible avenue to estimate insider information and to detect trading from a relatively sophisticated theoretical model, where the dynamics of publicly available data (e.g., stock price) implies insider information before the information is completely digested. We complete the survey with an empirical illustration based on simulated data.     

Organizationally-relevant configurations: the value of modeling local dependence

Configurations are important across all levels of organizations. Despite the interest in and importance of configurations in research for organizations, the empirical methods for assessing and classifying configurations has not kept pace with the theoretical advancements. Theory suggests that configurations must include aligned elements that have local dependence. Local dependence is defined as the interrelationships among variables necessary to form an internally consistent configuration. We explain how latent class cluster analysis (LCCA) enables modeling for local dependence and provides theoretical and methodological value for configurations researchers. Using primary data from two samples, we demonstrate that LCCA with local dependence outperforms traditional cluster analysis-based approaches. Our method can be used for detecting configurations at a variety of organizational levels (e.g. nation, industry, firm, and group).     

带结构突变的确定趋势的单位根检验方法——兼对中国工农业产品比价的实证分析

存在未知结构突变点的DGP关于结构突变的信息是不完全的,理论上不可能得到媲美标准ADF检验或Perron检验的统计特性,且Perron检验比标准ADF检验更适合于作为其单位根统计量的极限分布。本文以Perron(2009)方法为基础,结合minSSR和FGLS详细讨论结构突变的单位根检验的三个步骤,澄清了很多模糊的认识。以我国工农业产品比价和工农业产品价格指数为例,本文的实证研究发现,中国工农业利益分配格局的重大改变是由国际经济事件造成的冲击引起的。     

Hypothetical extractions from a global perspective

ABSTRACT

The hypothetical extraction method (HEM) has been widely used to measure interindustry linkages and the importance of industries. HEM considers the hypothetical situation in which a certain industry is no longer operational. HEM was developed for national economies, using national input–output tables. When performing HEM, it is assumed (often implicitly) that the input requirements that were originally provided by the extracted industry are met by additional imports in the post-extraction situation. Applying HEM to global multiregional input–output tables then causes serious problems. It is no longer sufficient to assume that the required inputs are imported. Instead, it is necessary to indicate explicitly how much is imported from each origin to replace the original inputs. Our adaptation of HEM is the global extraction method (GEM). As an illustration, GEM is applied to the extraction of the motor vehicle industry in China, the US, and Germany, using the 2014 WIOD input–output table.     

Differences in RBV strategic factors and the need to consider opposing factors in turnaround outcomes

The resource‐based view‐related empirical literature has focused on one‐industry–one‐focal‐resource studies to provide support for its core tenets. We complement that literature with a first empirical analysis of multiple strategic factors, including opposing factors, and covering multiple industries, based on a recent survey of turnaround professionals. We focus on two issues. First, we explore what factor characteristics correlate to differences in the level of impact on firm performance that different types of factors have. Second, we explore the balance between opposing strategic factors (i.e., beneficial versus detrimental factors) relating to which turnaround outcome occurs. Copyright © 2008 John Wiley & Sons, Ltd.     

EFFECTS OF SECTOR AGGREGATION ON CO2 MULTIPLIERS IN MULTIREGIONAL INPUT–OUTPUT ANALYSES

The past few years have seen the emergence of several global multiregional input–output (MRIO) databases. Due to the cost and complexity of developing such extensive tables, industry sectors are generally represented at a rather aggregate level. Currently, one of the most important applications of input–output analysis is environmental assessments, for which highly aggregate sectors may not be sufficient to yield accurate results. We experiment with four of the most important global MRIO systems available, analyzing the sensitivity of a set of aggregate CO₂ multipliers to aggregations in the MRIO tables used to calculate them. Across databases, we find (a) significant sensitivity to background system detail and (b) that sub-sectors contained within the same aggregate MRIO sector may exhibit highly different carbon multipliers. We conclude that the additional information provided by the extra sector detail may warrant the additional costs of compilation, due to the heterogeneous nature of economic sectors in terms of their environmental characteristics.     

Institutions and human resource practices in European countries

Abstract

Stemming from differences between approaches to new institutionalism, this paper analyses the impact of institutions on the adoption of human resource practices (HRP) in organizations. With this aim in mind, two opposing hypotheses are presented: should configurations of national institutions be related to the actual implementation of HRP by organizations or not? This empirical analysis uses a sample of 29,959 employees who work in organizations established in 27 European countries and takes into account the employees’ perception about the HRP used in their organizations and which affect them. The results support the approach to new institutionalism that emphasizes legitimacy and isomorphism, since these results show empirical regularities when countries are compared. Specifically, a country’s configurations of regulative, normative and cognitive institutions are related to the actual implementation of HRP, such as internal promotion, job participation, job design, work-life balance, job training, assessment and teamwork. These results suggest relevant practical implications for human resource managers and policy-makers.     

Firms' human resource in information system and sustainable performance: does their organizational identity matter?

Research suggests that firms' human resource management (HRM) in information technology (IT) may have a positive effective effect on their strategies of sustainable development. Based on the perspective of organizational identity orientation, we argue that firms' collectivistic orientation may moderate the relationship between the HRM and the implementation of the strategy. Focusing on firm performance in environmental protection, we test our predictions with empirical data from China's manufacturing industry. The results show a significant direct effect of the HRM and a significant moderating effect of identity orientation on the dependent variable, i.e. performance in sustainable development.     

The Structure of Production in the Norwegian Fish-Processing Industry: An Empirical Multi-Output Cost Analysis Using a Hybrid Translog Functional Form

An empirical analysis of production structure in the Norwegian fish-processing industry is undertaken, based on data for the period 1985–90. This industry processes raw materials into fresh, frozen, salted and dried fish products. Two technologies coexist in the industry. Producer behaviour is represented by a multi-output variable, or restricted cost function for each technology. The hybrid translog functional form is adopted for estimation, as this form can be evaluated even if some of the output values are zero. Results from the empirical analysis provide important information for the restructuring currently taking place in the industry.     

Effect of Certificate of Need Law on the intensity of competition: The market for emergency care

PurposeThis article aims to contribute to the academic literature in better understanding the impact of Certificate of Need (CON) Law on Emergency Department (ED) care. Impact of CON Law on ED competition remains an unanswered empirical question.MethodsWe examine the impact of CON Law and its stringency on the intensity of competition (rivalry among competitors) between EDs measured by the Herfindahl-Hirschman Index (HHI). We then estimate the effects of CON Law on HHI by treating CON as an exogenous (endogenous) variable.FindingsOn average the CON legislation enhances ED competition. A possible reason is that the law hinders predatory behavior, and therefore acts as an effective anti-trust tool. Other findings indicate that competition is found to be positively related to a state's population size and median income and negatively related with the prevalence of employer provided insurance and magnitude of illegal immigration in a state.Practical implicationsThis article sheds some light on how political regulations could affect healthcare market and hence may provide public policy makers some insights on reducing healthcare cost.OriginalityOur analysis of the impact of CON regulation on ED competition significantly contributes to the healthcare and strategy literature. The law potentially serves as an anti-trust tool in the hands of the government. We extend the empirical literature by treating CON Law and its stringency as exogenous (endogenous). Our comprehensive analysis considers a host of control variables such as population demographics, their health status and access to health care, healthcare facilities, political environment, in addition to the CON features.     

Rectangular input-output tables, multiplier analysis and entropy maximising principles: A new methodology

A new approach to input output multiplier methods relevant in situations using rectangular input output tables (situations where a sector product distinction can be made) is introduced. The method makes use of entropy maximising principles, using constraints expressing basic technologies of production and taking base year intersectoral transactions as prior values for the expected future values of those transactions. In contrast to existing rectangular input output multiplier models, the present approach requires just one set of input output coefficients (in particular, it does not require any ‘make’ matrix coefficients) and has an immediate flexibility to incorporate any further assumptions or information that may be available.