Why Cities Adopt Climate Action
Richard C. Feiock Local Governance Research Lab
Florida State University
rfeicok@fsuc.edu
RCN Virtual Collaboratory Call #1: September 6, 2003
Why Cities Adopt Climate Action Richard C. Feiock Local Governance - - PowerPoint PPT Presentation
Why Cities Adopt Climate Action Richard C. Feiock Local Governance Research Lab Florida State University rfeicok@fsuc.edu RCN Virtual Collaboratory Call #1: September 6, 2003 Salience of Cities Source of the Problem Cities and Urban
RCN Virtual Collaboratory Call #1: September 6, 2003
Source: US Conference of Mayors
10 20 30 40 50 60 70 80 90 100 Percentage of in-house & city wideInitiatives In House Community Wide
Independent Variables Governmental Community Operations At-Large Operations Supply-Side Factors Council-Manager Government .089** -.105** Separate Sustainability Office .234*** .124** Lacks of Funds
Conflict with Other Budget Priorities
Central City . 047 .004 Demand-Side Factors Public Support .039 .102** Business Group Support .075*** .113*** Environmental Group Support .004 -.000 Per Capita Personal Income .083 .007 Population .089* .063** Density .048* .047 Non Hispanic White
Issue Salience .137*** .219*** Constant
Observations Log likelihood Regression R2 479 477
.22 .17
14
Predictor Variable Model 1 Model 2 Model 3
Level 1 Independent Variables Public Entrepreneurs Civic Entrepreneur Elected Entrepreneur Bureaucratic Entrepreneur Organized Interests Group Support Business Groups Environmental Groups Civic Groups Need or Problem Severity Public Awareness Population Density City Capacity Separated Sustainability Office City Utilities Control Variables Political Institutions Form of Government Community Characteristics Population Race Income Level 2 Independent Variables Climate Change Advisory Groups Climate Actions GHG Report Fiscal Stress 1.75*** 0.52 1.78*** 0.51 0.83* 0.43 0.77* 0.43
0.06 0.16 0.06 0.17
0.31 0.31 0.34 0.30 1.02 0.50 0.93* 0.53 0.30 0.24 0.29 0.30 0.50*** 0.11 0.51*** 0.11
0.71*** 0.25 0.68*** 0.24
0.06 0.15 0.05 0.14
0.08 0.06 0.05 0.05
Survey Name Sampling Frame
Respondents
Response Rate
ICMA 8,569 local governments with a population over 10,000 2,176 25.4% NLC 1,708 mayors in cities over 10,000 442 26.6% EECBG Grantee Implementation
(NSF Feiock)
970 municipal governments receiving EECBG awards, including all cities
747 77.0% Implementation of Energy Efficiency and Sustainability
(IBM Foundation Feiock)
1,180 cities: all with pops over 50,000 and a random sample of 500 cities with pops btwn 20,000 and 50,000 679 57.5% National Survey of Sustainability Mgmt
(Hawkins UCF)
601 cities with populations over 50,000 263 44.0% Municipal Climate Protection
(Krause Indiana)
664 cities with populations over 50,000 329 49.5% Municipal Government Questionnaire
(Krause UTEP)
425 cities with populations over 50,000 that have explicit involvement in climate protection 255 60.0%
Start with a written public policy
Start with a written public policy
1 . All people must not smoke in a hospital or pay a fine.
the right to a smoke free area . . . . . . n = Statement
Divide into statements
Start with a written public policy
1 . All people must not smoke in a hospital or pay a fine.
the right to a smoke free area . . . . . . n = Statement
Divide into statements Dissect the statements
Regulatory Statements
must not = “deontic” smoke = “aim” in a hospital = “condition/object”
Constitutive Statements (X is Y under certain conditions) or (There shall be X)
shall have = “aIm” the right to a a smoke free area = “condition/object” . . .
Start with a written public policy
1 . All people must not smoke in a hospital or pay a fine.
the right to a smoke free area . . . . . . n = Statement
Divide into statements Dissect the statements
Regulatory Statements
must not = “deontic” smoke = “aim” in a hospital = “condition/object”
Constitutive Statements (X is Y under certain conditions) or (There shall be X)
shall have = “aIm” the right to a a smoke free area = “condition/object” . . .
Code by functional type
Boundary Procedural Rule Boundary Credential Rule Position Rule Choice Rule Information Rule Aggregation Rule Scope Rule Payoff Rule
Code and analyze by topically specific properties (e.g., duties of a mayor)
The Jerry Collins Local Governance Research Laboratory Askew School of Public Administration & Policy Florida State University Tallahassee FL 32306-2250 rfeiock@fsu.edu