Jeff York University of Colorado at Boulder - - PowerPoint PPT Presentation

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Jeff York University of Colorado at Boulder - - PowerPoint PPT Presentation

Nov 28, 2023 262 likes •564 views

The Co-evolution of industries, social movements and institutions: Wind Energy in the US Jeff York University of Colorado at Boulder jeffrey.york@colorado.edu Desiree Pacheco Portland State University Tim Hargrave University of Washington,

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The Co-evolution of industries, social movements and institutions: Wind Energy in the US

Jeff York University of Colorado at Boulder jeffrey.york@colorado.edu Desiree Pacheco Portland State University Tim Hargrave University of Washington, Bothell ARCS 3rd Annual Conference – 5/10/11

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Research Questions

  • What explains why wind energy emerged

faster in some states than others?

  • How do social movements affect the industry

and how does the emergence of an industry shape social movements?

  • Can we develop a process model for industry

emergence?

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Co-evolution

  • Interdependence and mutual influence of

elements within and across levels of analysis within a system (Koza & Lewin, 1998; Lewin, Long, & Carroll, 1999; Lewin & Volberda, 1999)

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  • Patterns of practice, values, and beliefs which shape

the identities of individuals and organizations (Friedland & Alford, 1991; Thornton, 2002, 2004; Thornton & Ocasio, 1999, 2008)

  • Contradictions are ruptures and inconsistencies in

social arrangements (Benson, 1977; Clemens & Cook, 1999; Seo & Creed, 2002; Sewell, 1992)

  • “…cultures revolve around core ideas that are
  • ppositional or dualistic in structure” (Barley & Kunda,

1992: 385)

Logics & Dialectics

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  • Mixed Methods - Case study utilized for building process model
  • Wind Energy in Colorado
  • 17 semi-structured interviews (Gov’t Officials, Entrepreneurs,

Activists, Utilities)

  • 546 newspaper articles
  • 4 site visits (NREL, CORE, Wind Firms)
  • 748 references from interviews, 682 from Denver Post

Data and Methods

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  • Ecologizing: Emphasizes

interdependence and maintenance of human and nature communities

(Frederick, 1995; Gladwin et al., 1995)

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  • Economizing: Efficient use of

resources for material improvement

(Frederick, 1995; Gladwin et al., 1995)

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DenverCam

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  • H1: There is a positive relationship

between the participation in environmental SMOs in a state and the incidence of mandatory rules and standards related to wind power in that state

  • H2: There is a positive relationship

between mandatory rules and standards favoring wind energy in a state and the growth of the wind energy industry in that state

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“We work very closely with those environmental groups, but our focus is primarily on market development, on issues that are of great concern to the industry. We strongly support most of the goals that our environmental allies advance but, we don’t have the kind of non-profit orientation that a lot of our allies do in the environmental community. We’re more business-oriented, in a nutshell. “

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  • Hybrid organizations: “organizations that combine

institutional logics in unprecedented ways” (Battilana & Dorado, 2010: 1419)

  • SMO: “a complex, or formal, organization that identifies

its goals with the preferences of the social movement or a countermovement and attempts to implement those goals” (McCarthy & Zald, 1977: 1217-1218) Hybrid SMO: A formal organization that identifies its goals with the preferences of a social movement and attempts to implement those goals through combining institutional logics in unprecedented ways.

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  • H3: There is a positive relationship

between the growth of the wind energy industry in a state and the participation

  • f clean energy SMOs in that state
  • H 4a & 4b: There is a positive

relationship between the participation

  • f clean energy SMOs in a state and

the incidence of market incentives & visibility of the wind energy industry in that state

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Process Model of Wind Industry Emergence

H 5a & 5b: There is a positive relationship between wind energy visibility in a state and the growth of the wind industry in that state

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Simultaneous Equations Model (3SLS –REG3) (Shrader et al., 2000; Gulati & Sytch, 2007)

  • 1999-2008
  • Variables - Policy (RPS and Incentives), Firm Foundings, MW

Wind Capacity, Environmental SMOs & Clean Energy SMOs (NCCS)

  • Controls - Legislature Political Party, Electricity Regulation, Wind

Company Density, Wind Potential, LCV score, Median Income, MW Power Capacity, Education

  • Variety of Instruments employed in each equation – Other SMOs

revenues (Clean energy SMOs), Wind energy policy (State revenues), Wind energy capacity (# Local utilities) , USGBC (Wind visibility)

Data and Methods

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Marginal Effects

3.4% 42% 46% 4.3% .08% NS 5.8%

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Discussion

  • Explored co-evolutionary roles of industry,

institutions and SMOs

  • Alternate model to “strategic” co-evolution
  • Hybrid logics and SMOs
  • Generalizability? Boundary conditions?
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Thank You! jeffrey.york@colorado.edu

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