Explaining Corruption at the Village and Individual Level in India: Findings from a Study of the Panchayati Raj Reforms

Asian Survey ◽  
2005 ◽  
Vol 45 (5) ◽  
pp. 756-776 ◽  
Author(s):  
Sten Widmalm

This study of decentralization reforms in India challenges the assumption that corruption should be seen as a function of culture. At the individual level, the capacity to distinguish between public and private sectors is important for rejecting the use of bribes to public sector employees, while at the aggregate level social capital plays an important role for resisting corruption.

2020 ◽  
Vol 35 (3) ◽  
pp. 67-86
Author(s):  
Jonghwan Eun

The demand for innovation in public organizations is increasing. In this study, I explore factors that contribute to the innovative behavior of civil servants at the individual level. The theoretical distinction between public and private organizations has long been a subject of debate, and certain characteristics of innovation in public organizations mimic innovation in the private sector, even though the purpose of innovation in public organizations is to secure public goods. In order to examine the innovative behavior of public employees who face such contradictory circumstances, I parameterized the characteristics of each sector, using whether or not the employee had worked in the private sector prior to entering the public service as the characteristic for the private sector and the effect of public service motivation on innovative behavior as the characteristic for the public sector and found that at the individual level, the two are not mutually exclusive.


2017 ◽  
Vol 46 (3) ◽  
pp. 290-296 ◽  
Author(s):  
Anne-Sophie K. Hansen ◽  
Ida E. H. Madsen ◽  
Sannie Vester Thorsen ◽  
Ole Melkevik ◽  
Jakob Bue Bjørner ◽  
...  

Aims: Most previous prospective studies have examined workplace social capital as a resource of the individual. However, literature suggests that social capital is a collective good. In the present study we examined whether a high level of workplace aggregated social capital (WASC) predicts a decreased risk of individual-level long-term sickness absence (LTSA) in Danish private sector employees. Methods: A sample of 2043 employees (aged 18–64 years, 38.5% women) from 260 Danish private-sector companies filled in a questionnaire on workplace social capital and covariates. WASC was calculated by assigning the company-averaged social capital score to all employees of each company. We derived LTSA, defined as sickness absence of more than three weeks, from a national register. We examined if WASC predicted employee LTSA using multilevel survival analyses, while excluding participants with LTSA in the three months preceding baseline. Results: We found no statistically significant association in any of the analyses. The hazard ratio for LTSA in the fully adjusted model was 0.93 (95% CI 0.77–1.13) per one standard deviation increase in WASC. When using WASC as a categorical exposure we found a statistically non-significant tendency towards a decreased risk of LTSA in employees with medium WASC (fully adjusted model: HR 0.78 (95% CI 0.48–1.27)). Post hoc analyses with workplace social capital as a resource of the individual showed similar results. Conclusions: WASC did not predict LTSA in this sample of Danish private-sector employees.


2007 ◽  
Vol 40 (3) ◽  
pp. 709-732 ◽  
Author(s):  
Marc Hooghe

Abstract.In recent years an impressive amount of evidence has been collected documenting a negative relationship between levels of ethnic diversity and social capital indicators, in particular generalized trust. In this article we raise a number of theoretical arguments that should be addressed before these findings can be generalized. First, it has to be remembered that most of these studies focus on generalized trust as a social capital indicator, while trust probably is most vulnerable for the effects of weakening homogeneity. Second, it is argued that in order to arrive at a better understanding of the relation between diversity and social capital, at least three intermediary variables need to be taken into account: 1) the question whether diversity entails segregation of networks at the individual level; 2) the increase in diversity rather than the absolute level; 3) the regimes societies use to govern diversity, and especially the variation with regard to the openness of these regimes. We close by exploring the suggestion that in more diverse societies, recognition of group differences and identities, and group relations based on equality-based concepts of reciprocity should be considered as potentially more meaningful strategies.Résumé.Dans les dernières années, une quantité impressionnante de preuves ont été rassemblées, qui documentent une relation négative entre le niveau de diversité ethnique et les indicateurs de capital social, en particulier la confiance généralisée. Dans cet article, nous soulevons un certain nombre d'arguments théoriques qu'il faut examiner avant de pouvoir généraliser ces résultats. D'abord il faut noter que la plupart de ces études se sont concentrées sur la confiance généralisée comme indicateur de capital social alors que la confiance est probablement particulièrement vulnérable aux effets d'une érosion de l'homogénéité. Deuxièmement, nous avançons que, pour mieux comprendre la relation entre diversité et capital social, trois variables intermédiaires au moins doivent être prises en considération : 1) l'existence d'une ségrégation des réseaux au niveau individuel du fait de la diversité; 2) l'augmentation de la diversité plutôt que son niveau absolu; 3) les régimes que les sociétés utilisent pour gouverner la diversité et surtout le degré d'ouverture de ces régimes. Pour finir, nous explorons la suggestion que, dans des sociétés plus diverses, la reconnaissance des différences et identités des groupes, et des relations inter-groupes basées sur des concepts d'égalité et de réciprocité devraient être considérées comme des stratégies potentiellement plus significatives.


2017 ◽  
Vol 8 (7) ◽  
pp. 816-826 ◽  
Author(s):  
Gilad Feldman ◽  
Huiwen Lian ◽  
Michal Kosinski ◽  
David Stillwell

There are two conflicting perspectives regarding the relationship between profanity and dishonesty. These two forms of norm-violating behavior share common causes and are often considered to be positively related. On the other hand, however, profanity is often used to express one’s genuine feelings and could therefore be negatively related to dishonesty. In three studies, we explored the relationship between profanity and honesty. We examined profanity and honesty first with profanity behavior and lying on a scale in the lab (Study 1; N = 276), then with a linguistic analysis of real-life social interactions on Facebook (Study 2; N = 73,789), and finally with profanity and integrity indexes for the aggregate level of U.S. states (Study 3; N = 50 states). We found a consistent positive relationship between profanity and honesty; profanity was associated with less lying and deception at the individual level and with higher integrity at the society level.


1980 ◽  
Vol 17 (4) ◽  
pp. 516-523 ◽  
Author(s):  
William L. Moore

Two segmented methods of performing conjoint anal/sis, clustered and componential segmentation, are compared with each other as well as with individual level and totally aggregate level analyses. The two segmented methods provide insights to the data that (1) are not obtainable at the aggregate level and (2) are in a form that is more easily communicated than the information from the individual level analysis. The predictive power of the clustered segmentation method is higher than that of componential segmentation, and both are superior to the aggregate analysis but inferior to individual level analysis.


2019 ◽  
Vol 11 (4) ◽  
pp. 949 ◽  
Author(s):  
Grzegorz Zasuwa

Product boycotts represent an important form of sustainable consumption, as withholding purchasing can restrain firms from damaging the natural environment or breaking social rules. However, our understanding of consumer participation in these protests is limited. Most previous studies have focused on the psychological and economic determinants of product boycotting. Drawing on social capital literature, this study builds a framework that explains how individual- and contextual-level social capital affects consumer participation in boycotts of products. A multilevel logistic regression analysis of 29 country representative samples derived from the European Social Survey (N = 54221) shows that at the individual level product boycotting is associated with a person’s social ties, whereas at the country level, generalized trust and social networks positively affect consumer decisions to take part in these protests. These results suggest that to better understand differences among countries in consumer activism, it is necessary to consider the role of social capital as an important predictor of product boycotting.


2019 ◽  
pp. 004912411987596
Author(s):  
Tim Futing Liao

In common sociological research, income inequality is measured only at the aggregate level. The main purpose of this article is to demonstrate that there is more than meets the eye when inequality is indicated by a single measure. In this article, I introduce an alternative method that evaluates individuals’ contributions to inequality as well as the between-group and within-group components of these individual contributions. I first highlight three common inequality measures, the Gini index and two generalized entropy measures—Theil’s T and Theil’s L indices—by presenting their individual components as a method for evaluating inequality. Five artificial data examples illustrate the use of these individual components first. An empirical analysis of the 2007 and 2017 Current Population Survey data then focuses on the differences in inequality revealed by such individual inequality components between the 2007 and 2017. The individual-level inequality measures can reveal patterns of inequality concealed by single measures at the aggregate level. In particular, the Gini individual measures differentiate cases better than the generalized entropy measures and tend to have smaller standard errors in a regression analysis.


2005 ◽  
Vol 31 (1) ◽  
Author(s):  
Jacques Genis ◽  
Taryn Wallis

Dubin’s theory of Central Life Interests (CLIs) was used to investigate whether work is a CLI for legal professionals in South Africa. The research also served as a comparative exploration between the public and private sectors based on their work centrality and work orientation. 59 employees from three public sector organisations and 27 employees from various private sector law firms completed questionnaires. Contrary to Dubin’s theory, results indicated that two-thirds of respondents did not have work as a CLI. Also, contrary to previous work on private and public sector employees, some interesting similarities emerged between the two sectors. Opsomming Dubin (1992) se teorie van Sentrale Lewensbelangstellings was gebruik om te ondersoek of werk ’n sentrale lewensbelangstelling is vir individue in die Suid-Afrikaanse regsprofessie. Die navorsing was ook ’n vergelykende ondersoek tussen die publieke en privaat sektore met betrekking tot hul werk sentraliteit en werk orientasie. 59 werknemers van drie publieke organisasies en 27 werknemers van verskeie privaat firmas het vraelyse beantwoord. Teenstellig met Dubin se teorie het resultate gewys dat vir twee-derdes van die deelnemers werk nie ’n sentrale lewensbelangstelling was nie. Daar was ook interessante resultate wat te voorskyn gekom het, wat teenstrydig was met vorige navorsing op werknemers in die privaat en publieke sektore.


2017 ◽  
Vol 15 (3) ◽  
pp. 189 ◽  
Author(s):  
Daniel Hahn, MA, MBA ◽  
Tierra L. Willis, MA ◽  
A. Ruthie Christie, MA ◽  
Samuel R. Mathews, PhD

Objective: To examine the relationship between social capital and potential resilience at the individual level from the perspective of emergency management.Methods: The authors used an online survey tool to present various scales of measurement related to the variables of social capital and potential resilience. Results: It was predicted that social capital and demographics, such as income, would be positively related to potential resilience. Overall, results indicated that income (β = 0.33, p < 0.01) and social capital (β = 0.32, p < 0.01) were both significant predictors of potential resilience. Implications and future directions for research and practices are discussed.


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