Climate-adaptive technological change in a small region: A resource-based scenario approach
Persistent URL
Author(s)
Goldstein, Don
Date Issued
July 16, 2015
Abstract
Society at large must find technological pathways capable of mitigating climate change. But small regions – where private and public sector decision makers take actions whose aggregated effects shape those broader pathways – are faced with the need to adapt to climate impacts over which they have little control. Such impacts already include not only direct climatological ones, but also related systemic shifts in technologies, markets, and policies. Firms and policymakers can widen the range of adaptation opportunities by exploring regional resources applicable to emergent clusters, through which technologically related inter-organizational dynamics may permit more effective climate responses. As in the resource-based view of the firm underlying cluster theory, key decision fields are chosen based on existing capabilities internal to the region in relation to the threats and opportunities transmitted by external climate change impacts. Adaptive strategy options at the regional level can be identified and assessed using a scenario-building methodology that incorporates the interactions among multiple variables and decision-makers’ actions over time. Stakeholder input and engagement during the research process can facilitate realism and traction. This methodology is applied to northwestern Pennsylvania, on Lake Erie, projecting a scenario based on a set of complementary, lower-carbon energy and transportation technologies.
Journal
Technological Forecasting and Social Change
Department
Economics
Citation
Goldstein, Don. 2015. "Climate-adaptive technological change in a small region: A resource-based scenario approach." Technological Forecasting and Social Change 99: 168-180.
Publisher
Elsevier
Version of Article
Published article
DOI
10.1016/j.techfore.2015.04.014
ISSN
0040-1625
Rights
© 2015 The Author. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license
File(s)![Thumbnail Image]()
Name
Goldstein 2015 OA.pdf
Description
Published article
Size
1.5 MB
Format
Adobe PDF
Checksum (MD5)
23a5f8d3a944e92f2869d4523327e001