A térbeli számszerűsített általános egyensúlyi modellezés Bevezetés az elméletbe és gyakorlati alkalmazások

13

Modelling Network Interdependencies of Regional Economies using Spatial Econometric Techniques

Multiregional dynamic models of economic growth rarely capture the interdependencies among regions that are geographically distant and/or often underestimate the importance of these linkages. This bias has become more and more serious because travel and transportation costs continue to decrease, while new telecommunication and information technologies enable business activities to readily take place between geographically remote locations. The conceptual framework in this study–modelling the network of regions–is based on well-known spatial econometric methods and provides alternative ways to integrate network interdependencies of economic activities into many fields, as well as modelling techniques such as spatial computable general equilibrium, input-output, and dynamic econometric models

Shift-Share Analysis: Georgia, 2005 - 2018

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. This document reports the results of further descriptive analysis aimed at more detailed descriptions of employment trends and conditions in the 420 counties that form the Appalachian Region (the Region). Shift-share analyses for all counties, micropolitan regions, and metropolitan regions are reported in supplemental documents accompanying a project overview document

ECIO Model Operators Guide

The National Energy Technology Laboratory (NETL)/ West Virginia University (WVU) Econometric Input-Output (ECIO) model is a time-series enabled hybrid econometric input-output (IO) model that combines the capabilities of econometric modeling with the strengths of IO modeling. The model was developed and designed specifically for estimating the income and employment impacts of the development and deployment of new energy technologies over a given forecast period. The ECIO model consists of a macroeconomic econometric model of the United States (U.S.) national economy and an inter-industry model that reflects the interdependence of all the industries in the economy. These two components have three modules and several sub-modules of interrelated equations for the U.S. economy, with employment and income detail for 32 industrial sectors. This document is designed to escort a user with little computing or programing experience through the processes of setting up the ECIO model application to run on a personal computer (PC). The document will guide user through the various stages of the ECIO model with screenshots and instructions. Using this guide and standardized input data files (in .csv format) that are generated by the NETL NEMS-ECIO Translation Tool, users should be able run the model to generate estimates of deployment scenario impacts

Geographic Macro and Regional Model for EU Policy Impact Analysis of Intangible Assets and Growth

This paper introduces the geographic macro and regional model for NUTS-2 regions of the Euro zone. This model consists of three blocks: the TFP, the SCGE and the MACRO blocks. The model is built for impact analysis of policies targeting intangible assets in the forms of R&D, human capital and social capital. The analysis can be done both at the regional and the EU macroeconomic levels. Policy simulations illustrate the capabilities of the complex model system.TFP, SCGE models, DSGE models, impact analysis, R&D, human capital, social capital

Shift-Share Analysis: Tennessee, 2005 - 2018

In County-level CIE Supply Chain Analysis, the second of five parts o f An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. This document reports the results of further descriptive analysis aimed at more detailed descriptions of employment trends and conditions in the 420 counties that form the Appalachian Region (the Region). Shift-share analyses for all counties, micropolitan regions, and metropolitan regions are reported in supplemental documents accompanying a project overview document

Shift-Share Analysis: New York, 2005 - 2018

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. This document reports the results of further descriptive analysis aimed at more detailed descriptions of employment trends and conditions in the 420 counties that form the Appalachian Region (the Region). Shift-share analyses for all counties, micropolitan regions, and metropolitan regions are reported in supplemental documents accompanying a project overview document

Shift-Share Analysis: Virginia, 2005 - 2018

In County-level CIE Supply Chain Analysis, the second of five parts of n Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. This document reports the results of further descriptive analysis aimed at more detailed descriptions of employment trends and conditions in the 420 counties that form the Appalachian Region (the Region). Shift-share analyses for all counties, micropolitan regions, and metropolitan regions are reported in supplemental documents accompanying a project overview document

Shift-Share Analysis: Pennsylvania, 2005 - 2018

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. This document reports the results of further descriptive analysis aimed at more detailed descriptions of employment trends and conditions in the 420 counties that form the Appalachian Region (the Region). Shift-share analyses for all counties, micropolitan regions, and metropolitan regions are reported in supplemental documents accompanying a project overview document

Shift-Share Analysis: North Carolina, 2005 - 2018

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. This document reports the results of further descriptive analysis aimed at more detailed descriptions of employment trends and conditions in the 420 counties that form the Appalachian Region (the Region). Shift-share analyses for all counties, micropolitan regions, and metropolitan regions are reported in supplemental documents accompanying a project overview document