2014
DOI: 10.1111/grow.12074
|View full text |Cite
|
Sign up to set email alerts
|

Improving Service Delivery through State–Citizen Partnership: The Case of theAhmedabad Urban Transport System

Abstract: It is widely acknowledged that deeper engagements with people may improve systems of governance at all levels. However, urban local governments in India have not generally developed effective structures and mechanisms for engaging with their citizens. This article draws from a study of Ahmedabad, India, where the local municipal corporation actively engaged with the citizens to develop an efficient urban public transport system. The study demonstrates that appropriate partnerships with citizens may effectively… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 46 publications
0
1
0
Order By: Relevance
“…Through this process, policy innovation spreads and is adopted among government, organizational, and other social systems over a certain period of time through specific channels of communication [19]. At present, based on theoretical research and empirical testing, scholars have summarized the internal and external factors that affect policy innovation diffusion [22] as including political factors [23], economic resources [24], and social development factors [20], as well as factors such as leader factors, conformity factors, competition factors, and information channel factors [25]. After their in-depth analysis of the influencing factors of policy diffusion, Berry and Berry [16] proposed the internal decision model and communication model of policy diffusion analysis, integrating the two models to form a general model of state government innovation [21] in the following form: Adoption possibilities i,t = f (motivation i,t , resources/obstacles i,t , other policies i,t , external factors i,t ).…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…Through this process, policy innovation spreads and is adopted among government, organizational, and other social systems over a certain period of time through specific channels of communication [19]. At present, based on theoretical research and empirical testing, scholars have summarized the internal and external factors that affect policy innovation diffusion [22] as including political factors [23], economic resources [24], and social development factors [20], as well as factors such as leader factors, conformity factors, competition factors, and information channel factors [25]. After their in-depth analysis of the influencing factors of policy diffusion, Berry and Berry [16] proposed the internal decision model and communication model of policy diffusion analysis, integrating the two models to form a general model of state government innovation [21] in the following form: Adoption possibilities i,t = f (motivation i,t , resources/obstacles i,t , other policies i,t , external factors i,t ).…”
Section: Theoretical Frameworkmentioning
confidence: 99%