Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2010 (Vol. 2, Issue: 2)
Article Information:

Modelling Political Trust in a Developing Country

Paul Andrew Bourne
Corresponding Author:  Paul Andrew Bourne 

Key words:  Governance, Jamaica, modelling political trust, political participation, political trust, trust in government,
Vol. 2 , (2): Page No: 84-98
Submitted Accepted Published
2009 December, 25 2010 January, 16 2010 March, 10
Abstract:

Jamaica is not atypical in its high levels of corruption, nor is it surprising that there is a low degree of public trusts in government – only 8 out of 100 people trust the government. One of the measures that can be used as an approximation for the public’s distrust in government is the increasing decline in voting behaviour in elections, and the increase in unconventional political participation over the last half a decade. Within the context of the aforementioned issues, we w ill be examining the factors that account for this reality, as well as the extent of trust (or distrust) in the government and in interpersonal relationships in Jamaica from an econometric perspective. And so we will seek to build a model that explains the people’s trust in government. This study utilizes prim ary observational data collected by the Centre of Leadership and Governance, Department of Government, the University of the West Indies at Mona, Kingston, Jamaica between July and August, 2006. The observational data was collected by way of a 166-item questionnaire. It was a stratified nationally representative sample of some 1,338 Jam aicans from all 14 parishes. The observational data were collected and stored using the Statistical Packages for the Social Sciences (SPSS) for Windows version 16.0. Descriptive statistics were done to provide background information on the sample, and tests were done for Cronbach alpha to examine the validity of the construct – i.e. w ellbeing and political participation. Then, logistic regression was used to build a model. A goodness of fit statistics test was carried out on the model. Of a sampled population of 1,338 respondents, 37% (approximately 4 out of 10 persons) reported that they trust other persons compared to 8% (8 out of 100 people) who indicated that they trust the government. The observational data were used to test the general hypothesis [trust in government is a function of some 14 factors, and estimate the parameters of the final function. We found that of the 14 predisposed variables that were identified by the literature, only 6 were statistically significant influencers. The 6 factors explain 27.3% of the variance in trust in government. Those factors in regard to degree of importance in descending order are: confidence in socio-political institutions, governance of the country, interpersonal trust, political participation, administration of justice and sex of respondents. Governments in Jam aica have been suffering from a deficit in trust, just like the nation’s budget And any building of trust in government must first begin by accepting the factors that affect trust, and secondly by being aware that their actions (or inactions) coupled with that of their related institutions affect public confidence, cooperation from the citizenry and civic engagement. Given the limitations of this study, we recommend that a longitudinal study be conducted with the same set of variables, as well as the others that were identified in the literature but were not used. And instead of using perceived corruption as a proxy for corruption, we utilized the operational definition of Transparency International, as corruption appears to be a primate variable in trust in government, but were unable to verify this with the use of perceived corruption.
Abstract PDF HTML
  Cite this Reference:
Paul Andrew Bourne, 2010. Modelling Political Trust in a Developing Country.  Current Research Journal of Social Sciences, 2(2): Page No: 84-98.
    Advertise with us
 
ISSN (Online):  2041-3246
ISSN (Print):   2041-3238
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved