Name
Abstract | ||
|---|---|---|
We address a practical problem often faced by economic development organizations using data from the Greater Pittsburgh area. Local economic development organizations are often tasked with promoting the health and vitality of the regional economy. However, the unique composition of each geographical area calls for a distinct approach that reflects the peculiarities of the local economy. The study presents an approach by which the information obtained from input-output analysis and conventional metrics of economic development are enriched by the concepts and metrics of social network analysis. We illustrate this approach by analyzing the local economy of the Greater Pittsburgh area of Western Pennsylvania, USA. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ISC2.2018.8656698 | 2018 IEEE International Smart Cities Conference (ISC2) |
Keywords | Field | DocType |
Industries,Economics,Production,Measurement,Entropy,Steel,Urban areas | Social network analysis,North American Industry Classification System,Economy,Vitality,Economic base analysis,Network analysis,Input–output model,Local economic development,Business | Conference |
ISBN | Citations | PageRank |
978-1-5386-5959-5 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tayo Fabusuyi | 1 | 4 | 1.15 |
| Jürgen Pfeffer | 2 | 346 | 26.57 |