(Georgia Institute of Technology, 2017-08-24)
Burkhard, Caroline
A Multi-Level Perspective (MLP) of Sustainable Transitions is applied to five case studies of technological and policy innovation in energy and water systems. The MLP framework analysis is supported by the policy and engineering literatures of participatory democracy, policy entrepreneurs, and system analysis. Each case study focuses on the subsystems of actors, policy institutions, and public participation in a sustainable transition. In three of the case studies, I develop system and econometric models to evaluate the value of distributed resources and their opportunities for deployment. When evaluating the actions on niche and intermediary actors and their strategies for sustainable transitions, this research suggests that scale may play a bigger role in the development of niche innovations and policies than simply an exploratory space to analyze the success of actors’ strategies. When evaluating the role of policy institutions, this research suggests that strong user preferences, supportive niche policies, and favorable economic landscapes can be insufficient to facilitate a regime change without qualitative changes to the regulatory models. When evaluating the role of the public, this research suggests that neither the niche nor the regime actors are consistently incorporating public participation. Combined, this dissertation speaks to the need for rigorous analytical work, the expansion of the definition of ‘value’ for these niche technologies, as well as the institutions and regulations which dictate how value is determined.
(Georgia Institute of Technology, 2015-04-01)
Bandyopadhyay, Kirsten Analise
This dissertation expands on the economic geography literature on how and why innovation clusters spatially by taking a closer look at two correlated phenomena: regional specialization and firm clustering. While existing studies note that innovative regions are often highly specialized and highly clustered, further research is needed on the relative contributions of specialization and clustering to regional innovation. I examine these contributions by focusing on one key element of any regional innovation project: the labor market for scientific and technical professionals.
The foundation for this study is a typology of regions based on regional specialization and firm clustering. I use this typology to answer one key research question: how specialization and clustering affect wages and recruitment methods in science-based industries.
I create my typology using firm location data from the Photonics Buyers’ Guide, a leading trade publication in the photonics industry; I use the standardized location quotient and the average nearest neighbor distance as metrics of regional specialization and firm clustering, respectively. I investigate small firms’ labor market strategies using job search and wage data from the 2011 and 2012 SPIE salary surveys of employees in the photonics industry. I also examine how people-based and place-based policies for strengthening scientific and technical labor markets change when viewed through the lens of specialization and clustering.
I selected the photonics industry as an example of a science-based industry for three reasons: its diversity of applications, its policy importance, and its unique colocation of design and manufacturing.
Regional specialization and firm clustering, while correlated, do not always go hand in hand. By disentangling the effects of specialization versus clustering, this dissertation contributes to the literature on the spatial analysis of innovation. It also offers policymakers a heuristic for deciding on the importance of being known for a particular industry (regional specialization) and creating dense innovation districts (firm clusters) through preferential zoning or other mechanisms.