Regional Science Research and the Practice of Regional Economic Forecasting: Less Is Not More

Author(s):  
Dan S. Rickman
1972 ◽  
Vol 28 (1) ◽  
pp. 255-276
Author(s):  
W. Allen Spivey ◽  
William E. Wecker

2020 ◽  
Vol 11 (1) ◽  
pp. 126-139
Author(s):  
Portia Pearl Siyanda Sifolo

The relationship in the tourism supply chain management could in turn be a catalyst towards development of the sectoring the continent. Th is paper explore areas of integration in the tourism supply chain among Regional Economic Communities (REC’s) through contextualization of a comparative advantage to increase the share of the tourism business in Africa as a catalyst to development in the African continent. This paper adopted the text analysis that is used in social science research and involves “drawing inferences from a comparative advantage theory”. In this case, large volumes of contents are analysed. Themes that emerged revealed that a well-managed tourism supply chain in the country and in the Regional Economic Communities (REC’s) could stimulate the infrastructural development and preserve natural and historical heritage. TSCM has the ability to support the society. There is a dire need to liberalize air flight and visa regimes to benefit from the share of tourism in the REC’s in the African continent. The implication is that tourism distribution can be achieved through the recognition of the nature of strategic coordination between partners in the RECS and can also improve the performance of the tourism sector in the continent. For companies that are involved in the effective supply chain, they could benefit from coordination and communication through the distribution channels that support the core service or product.


2016 ◽  
Vol 41 (2) ◽  
pp. 134-151 ◽  
Author(s):  
Rachel S. Franklin ◽  
Eveline S. van Leeuwen

In his presidential address to the Regional Science Association over thirty years ago, William Alonso presented the case for “Five Bell Shapes in Development” and argued that “the developed countries will enter fully in to the realm of the right-hand tail of these curves” (p. 16) and that this transition might result in several surprises. He proposed, therefore, that we should study the right tail of these “curves” as well as interactions among them. Much of what Alonso suggested has come to pass, although his prognostications were not always exact. And although he touched on several issues of relevance to regional scientists, the discipline has been slow to move away from a growth-centered paradigm. The strength of regional science—the capacity to consider economic, demographic, and geographical aspects of an issue simultaneously—has yet to be focused on some of the “right-hand” challenges that have arisen, population loss, for example. In this article, we provide a review of regional science research within the context of Alonso’s five bells and hypothesize how Alonso’s propositions might differ in today’s world. We then focus more specifically on one particular area: population loss. Using these examples allows us to highlight how regional science might contribute to the conceptualization of “right-hand tail” development challenges, especially where theory, issues of spatial scale, and interregional dependencies are concerned.


2005 ◽  
Vol 28 (1) ◽  
pp. 257-276 ◽  
Author(s):  
W. ALLEN SPIVEY ◽  
WILLIAM E. WECKER

2017 ◽  
Vol 41 (4) ◽  
pp. 387-409
Author(s):  
Jing Chen ◽  
Randall Jackson

The year 2015 marked the fiftieth anniversary of West Virginia University’s (WVU) Regional Research Institute (RRI), which has played an important role in many scientific collaboration networks. Through social network analysis (SNA) focusing on the RRI research community since its inception in 1965, this article illustrates the role that organizations and the networks they promote can play in scientific problem domains, promoting scholarly collaborations and coauthorship in the field of regional science. We analyzed an evolving WVU RRI coauthorship network that has grown and gained in complexity over time in terms of (1) global metrics, (2) components and cluster analysis, (3) centrality, and (4) PageRank and AuthorRank. The results of these analyses depict a well-developed and influential scientific collaboration structure within both WVU and the regional science research community.


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