An Alternative Factor-analytic Approach to Aggregation of Input–Output Tables

Oksanen, Ernest H.; Williams, J. R.

doi:10.1080/09535319200000022

Cited by 13 publications

(6 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As we noted above, there is also a large literature that examines methods for analyzing economic association as revealed in input-output tables, both for the purposes of de®ning proper industrial aggregations or classi®cation schemes (e.g., Kymn 1990; Cabrer and Contreras 1991;Oksanen and Williams 1992;O Â hUallacha Âin 1985) and for understanding the structure of economies (e.g., Olli 1992;Ghosh and Roy 1998;Gregory and Schachter 1999).…”

Section: Identifying Economic Clustersmentioning

confidence: 99%

A test for the coincident economic and spatial clustering of business enterprises

Feser¹,

Sweeney

2000

J Geograph Syst

View full text Add to dashboard Cite

This paper uses input-output data combined with point process modeling techniques to test whether enterprises linked within nominal buyersupplier chains have a greater propensity to cluster in space than manufacturing enterprises in general. The methodology controls for the general tendency of ®rms to seek locations in concentrated agglomerations and isolates the in¯uence of ®rm interdependence on spatial clustering. Our ®ndings suggest that there is indeed an association between economic linkages and geographic clustering in our study area, but only for some types of economic clusters, mainly those that are comprised mainly of more knowledge-based or technology-intensive sectors. In general, we endeavor to show that spatial analytical methods hold considerable promise for conducting rigorous tests of industrial location questions.

show abstract

Section: Identifying Economic Clustersmentioning

confidence: 99%

A test for the coincident economic and spatial clustering of business enterprises

Feser¹,

Sweeney

2000

J Geograph Syst

View full text Add to dashboard Cite

show abstract

“…It has become common practice to begin any talk on economic clusters with admitting that there is no adequate, universally accepted definition of the cluster. In spite of that, the copious literature on cluster approach is expanding [32][33][34][35][36][37][38][39][40][41][42][43][44][45].…”

Section: Introductionmentioning

confidence: 99%

Clusters in the institutional perspective: on the theory and methodology of local socioeconomic development

Гареев¹

2012

Balt. Reg.

View full text Add to dashboard Cite

Latvia's participation in the process of integration and globalization within the Euro-pean Union creates a need to improve tools of competitiveness and management assessment of the country's regions. It also requires the development of common approaches to selection criteria, competition indicators and assessment tools at the micro-, meso-, and macro-levels. This study identifies the development stage of Latvia's regions and considers methods as well as experience of evaluation and improvement of the competitiveness of Latvia's regions. The authors describe priorities and tools for regional innovative development and analyze conditions affecting regional development in the country. This work takes into account the current priority of the European Union-innovation and development of socioeconomic activity aimed at enhancing the competitiveness and attractiveness of European regions. This study sets out to evaluate the competitiveness of Latvia's regions using a method developed by the European Commission. An expert survey based on the analytic hierarchy process identifies priority areas and instruments for their innovative development. a third of the total EU budget-313 bln euros-is to be allocated to solving three major problems (convergence, regional competitiveness and employment, and European territorial cooperation). Let us considers the issues of regional competitiveness using Latvia, a new EU member state, as an example. THE ASSESSMENT AND FACTORS OF INCREASE IN INNOVATIVE COMPETITIVENESS OF LATVIAN REGIONS

show abstract

“…Researchers such as Tilanus and Theil (1965), Theil (1967), Skolka (1964), Crown (1990), Lee et al (1990), and Madsen and Jensen-Butler (1999) have analyzed the issue from information content perspective. Sample of studies on various aggregation schemes includes Crown (1987Crown ( , 1990, Harrison and Manning (1987), Kymn (1990), Cabrer et al (1991), Dietzenbacher (1992, Oksanen and Williams (1992), and Murray (1998). A partial list of additional notable aggregation related researchers includes Yamada (1961), Green (1964), Ijiri (1971), Kossov (1972), Trainer (1976), Isserman (1977), Miller and Blair (1981), Bulmer- Thomas (1982), OhUallachain (1985, Ralston et al (1986), Garhart and Giarratani (1987), Howe and Johnson (1987), Lahr and Stevens (1987), Theil and Uribe (1992), Olsen (1993), Comer and Jackson (1997), Lee (1997);and Paelinck (2000).…”

Section: Introductionmentioning

confidence: 99%

Impacts of Aggregation on Relative Performances of Nonsurvey Updating Techniques And Intertemporal Stability of Input–Output Coefficients

Jalili

2006

Econ Change

View full text Add to dashboard Cite

In many instances, and for variety of reasons, input–output researchers are compelled to both employ mechanical techniques to update older survey-based tables as well as using more aggregated ones. This combination, however, gives rise to several concerns. The present paper is an attempt to investigate two such questions. First, the effects of aggregation on the accuracy ranking of selected updating methods, and second, the effects of aggregation on intertemporal stability of the input–output coefficients. To probe these issues, three updating methods were selected. These methods are NAÏVE or constant coefficient hypothesis, RAS or biproportional method, and LaGrangian optimization technique. Two survey-based tables from the former Soviet Union along with the selected updating techniques are used to generate updated target year’s direct and inverse transaction matrices at four aggregation levels. Comparison of the resultant estimates at these four levels of aggregation with their counterparts in the actual benchmark table reveals that a higher level of aggregation neither affects the rankings of the updating methods nor does it universally and unequivocally leads to a higher degree of intertemporal stability of input–output coefficients. Copyright Springer Science+Business Media, Inc. 2005aggregation, input–output coefficients, intertemporal stability of coefficients, LaGrangian, RAS, updating methods,

show abstract

An Alternative Factor-analytic Approach to Aggregation of Input–Output Tables

Cited by 13 publications

References 8 publications

A test for the coincident economic and spatial clustering of business enterprises

A test for the coincident economic and spatial clustering of business enterprises

Clusters in the institutional perspective: on the theory and methodology of local socioeconomic development

Impacts of Aggregation on Relative Performances of Nonsurvey Updating Techniques And Intertemporal Stability of Input–Output Coefficients

Contact Info

Product

Resources

About