The Effect of Aggregation on the Empirical Identification of Key Sectors in a Regional Economy: A Partial Evaluation of Alternative Techniques

1974 ◽  
Vol 6 (4) ◽  
pp. 439-453 ◽  
Author(s):  
G J D Hewings
Keyword(s):  
Regional Economy ◽  
Partial Evaluation ◽  
Washington State ◽  
Regional Level ◽  
Regional Economies ◽  
Careful Attention ◽  
Input Output ◽  
Key Sectors ◽  
Alternative Techniques ◽  
Open Nature

The open nature of regional economies requires that careful attention be paid to the magnitude of intraregional interindustry relationships when decisions about the allocation of investment are made. A number of methods have been proposed for the purposes of identifying key sectors in a national economy using input–output models. This research reports on attempts to identify key sectors at the regional level using the 1963 and 1967 Washington State input–output models at various levels of aggregation. The lack of consistency of identification of key sectors by the various methods suggests that these approaches have limited utility at the regional level.

Forecasting, impact analysis and uncertainty propagation in regional integrated models: A case study of Australia

2018 ◽  
Vol 47 (1) ◽  
pp. 65-83 ◽  
Author(s):  
Ashkan Masouman ◽  
Charles Harvie
Keyword(s):  
Regional Economy ◽  
Impact Analysis ◽  
Uncertainty Propagation ◽  
Econometric Models ◽  
Regional Level ◽  
Superior Performance ◽  
Integrated Models ◽  
Input Output ◽  
Forecasting Accuracy

The integration of input–output and econometric models at regional level has gained popularity for its superior performance in forecasting employment and examining the impacts of policies. There are a number of approaches to integrate the two models. This paper examines the integration of input–output with econometric modelling using two merging methodologies, namely coupling and holistic embedding. Each methodology is analysed with respect to the accuracy of its results of total and sectoral employment forecasting. Both methodologies are applied to a regional economy in Australia. The methodology which shows superior forecasting accuracy is applied to examine the significance of sectors that generate the highest number of employments relative to other sectors.

scholarly journals AN INPUT OUTPUT MODEL TO QUANTIFY THE BENEFITS OF TOURIST AIRPORTS ON REGIONAL ECONOMY

2011 ◽  
Vol 2 (2) ◽  
pp. 92-105 ◽  
Author(s):  
Dimitrios Dimitriou ◽  
Mary Sartzetaki ◽  
Asimina Voskaki ◽  
George Athanasiadis
Keyword(s):  
Social Impact ◽  
Regional Economy ◽  
Regional Economies ◽  
Input Output ◽  
Economic Returns ◽  
Modeling Framework ◽  
Business Interests ◽  
Tourist Destinations ◽  
Service Accessibility ◽  
Economic Assets

Airports are widely recognized as having a considerable economic and social impact on their surrounding regions. These impacts go far beyond the direct impact of an airport’s operation, extending also to the wider benefits that air service accessibility brings to regional business interests. Airports provide essential infrastructure to support regional social and economic growth. According to ACI, airports are major economic assets offering significant economic returns and benefits. A growing literature on this subject highlights the difficulties to calculate the effects of airports. This paper deals with the estimation of benefits of touristairports on regional economy. The methodology approach is based on an input-output model that - estimates the key categories of effects from tourist airport operations. Conventional wisdom is to present a well-organized modeling framework, appropriate for planners, mana gers and decision makers in order to quantify the effects of tourism airports on regional economies. The application is a new airport on the island of Crete in Greece, one of the most attractive tourist destinations in southeast Mediterranean.

Emissions Responsibility and Relative Importance of the Productive Sectors in Turkey: 2002-2011

2014 ◽  
Author(s):  
Celal Taşdoğan ◽  
Bilgen Taşdoğan
Keyword(s):  
Air Pollutants ◽  
Economic Value ◽  
Value Added ◽  
High Growth ◽  
Air Pollutant ◽  
Sustainable Growth ◽  
Environmental Damage ◽  
Relative Importance ◽  
Input Output ◽  
Key Sectors

Turkey has realized high growth rates during the period of 2002-2011, except in 2008 and 2009 years. It is thought that the rapidly growing in the country may cause a lot of environmental damage, especially air pollution problems. In other words, the productive sectors have produced two outputs which are economic value added and air pollutants. This study used input output matrixes are to find out the strategically important sectors as it is known key sectors and weak sectors caused the environmental effects in the country. For this purpose, it has been tried to investigate air pollutant quantities which caused by the production process of the sectors in the period of 2002-2011 and performed the input-output tables for Turkey constructed in the World Input Output Database (WIOD) Project. These input-output tables include the emission satellite accounts, which are CO2 emissions and other air pollutants, respectively N2O, CH4, N2O, NOx, SOx, CO, NMVOC and NH3, disaggregated for the 34 sectors. It is expected that the outcomes of the study may contribute to sustainable growth debates and environmental policy implementations in Turkey.

Statistical Approaches to Structural Change in Regional Interindustry Models

1986 ◽  
Vol 18 (9) ◽  
pp. 1189-1207
Author(s):  
B Ó Huallacháin
Keyword(s):  
Structural Change ◽  
Structural Changes ◽  
Washington State ◽  
Multivariate Statistical Analyses ◽  
Input Output ◽  
Multivariate Statistical ◽  
State Data ◽  
System A ◽  
Statistical Approaches ◽  
The Impact

The conventional approach to assessing structural change in regional input – output tables is to measure the impact of coefficient change on the estimation of outputs and multipliers. The methods developed and tested in this paper focus exclusively on the coefficients. Univariate and multivariate statistical analyses can be used to identify and measure various types of changes ranging from coefficient instability to changes in interindustry relationships as a system. A distinction is made between structural changes in input relationships and those in output relationships. The methods are tested by using Washington State data for the years 1963 and 1967. The results are compared with previous analyses of change in these data.

scholarly journals Public–Private Partnership Infrastructure Investment and Sustainable Economic Development: An Empirical Study Based on Efficiency Evaluation and Spatial Spillover in China

2021 ◽  
Vol 13 (15) ◽  
pp. 8146
Author(s):  
Bingyao Chen
Keyword(s):  
Economic Development ◽  
Infrastructure Investment ◽  
Economic Sustainability ◽  
Regional Economies ◽  
Input Output ◽  
Private Partnership ◽  
Spatial Spillover ◽  
Sustainable Economic Development ◽  
Output Efficiency ◽  
Industrial Heterogeneity

Public–private partnership (PPP), an innovative mode of infrastructure investment, has been widely applied in China and has become an essential policy tool with which to promote sustainable economic development. In order to comprehensively evaluate the economic consequences, using 31 provinces in China from 2003 to 2018 as samples, first, stochastic frontier analysis was performed to measure the input–output efficiency of infrastructure investment to evaluate the economic sustainability and efficiency of PPP compared to single government-led investment mode. Next, the overall economic growth effect of PPP was verified. Further, from the perspective of sustainable development of regional economies, the double-fixed effect spatial Durbin model was adopted to empirically test the spatial spillover effect of PPP and clarify its industrial heterogeneity. The results show the following. (1) The average input–output efficiency of infrastructure is 0.449, revealing a distribution law of decreasing from east to west and remarkable regional variation. However, a good trend of improvement emerged, reflecting the economic sustainability of infrastructure investment, and PPP has played a positive role in promoting it. (2) PPP has significant and positive economic growth and spatial spillover effects, which can promote regional economic integration, embodying its economic sustainability function. (3) The economic impact of PPP has significant industrial heterogeneity. Transportation PPP can bring greater economic benefits, confirming the vital position of transportation infrastructure in the sustainable development of regional economies. Energy and water PPPs have positive externalities. All of this provides powerful and reliable proof of the realization of sustainable economic development under the regional virtuous circle driven by infrastructure investment through PPP.

scholarly journals ANALYSIS OF REGIONAL ECONOMIC CRIME (ON THE EXAMPLE OF MOSCOW AND THE MOSCOW REGION)

2021 ◽  
Vol 8 (4) ◽  
pp. 116-120
Author(s):  
Igor' Lopatin
Keyword(s):  
Regional Economy ◽  
Current Trend ◽  
Regional Level ◽  
Point Of View ◽  
Social Conditions ◽  
Economic Crime ◽  
Moscow Region ◽  
Material Damage ◽  
Regional Society ◽  
Regional Economic

Economic crime at the regional level is a versatile category that is dangerous for the population of the region and negative from the point of view of society, characterized by the existing regional social conditions. The danger of manifestations of economic crime consists both in the consequence in the form of significant material damage to the population of the region, and in the destabilization of the regional economy as a whole. Parallel shadow operations with an illegal orientation are emerging and progressing in the regional society, which, given the current trend, can direct all the resources available in the region to their development.

Simulating Impacts on Regional Economies

2013 ◽  
pp. 132-152 ◽  
Author(s):  
Guy R. West ◽  
Randall W. Jackson
Keyword(s):  
General Equilibrium ◽  
Computable General Equilibrium ◽  
Full Range ◽  
Data Availability ◽  
Regional Economies ◽  
Input Output ◽  
Computable General Equilibrium Models ◽  
Sire Model ◽  
Cge Models ◽  
Regional Impacts

Practitioners and academics apply a range of regional economic models for impacts assessment. These models extend from a simple economic base through to input-output and econometric models and computable general equilibrium models. All such models have strengths and weaknesses. Dimensions of which impact assessment models are often compared include level of industry detail, data availability, and complexity of behaviour modelled. This chapter presents a model for Simulating Impacts on Regional Economies (SIRE) that occupies an intermediate position between Input-Output (IO), arguably the most widely used model for regional impacts assessments, and Computable General Equilibrium (CGE) models. With greater behavioural detail than the typical regional IO model, the SIRE model incorporates many of the features of CGE models without enforcing the strictly linear behavioural relationships of IO. Like most CGE models, the simulation framework presented here borrows a subset of parameters from an existing econometric model for the same region. The SIRE model falls short, however, of the complexity of capturing the full range of behaviours of CGE models.

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