Taxes and Bribes in Uganda
Dados Bibliográficos
| ID | 20302575 |
|---|---|
| Autores | Pamela Jagger (0000-0001-7148-432X, Department of Public Policy, University of North Carolina, Chapel Hill, NC, USA, autor correspondente), Gerald Shively (0000-0002-0460-0762, Department of Agricultural Economics, Purdue University, West Lafayette, IN, USA and School of Economics and Business, Norwegian University of Life Sciences, Ås, Norway) |
| Ano | 2015 |
| Volume | 51 |
| Fascículo | 1 |
| Páginas | 66-79 |
| Data de publicação | 2015-01-02 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | The Journal of Development Studies (JOURNAL) |
| Identificadores do periódico | ISSN: 0022-0388 • E-ISSN: 1743-9140 |
| Editora | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00220388.2014.947278 |
| PMID | 27274568 |
| OpenAlex | W1971603270 |
| Idioma | EN |
| Citações recebidas | 4 |
| Referências citadas | 35 |
Using data from 433 firms operating along Uganda's charcoal and timber supply chains we investigate patterns of bribe payment and tax collection between supply chain actors and government officials responsible for collecting taxes and fees. We examine the factors associated with the presence and magnitude of bribe and tax payments using a series of bivariate probit and Tobit regression models. We find empirical support for a number of hypotheses related to payments, highlighting the role of queuing, capital-at-risk, favouritism, networks, and role in the supply chain. We also find that taxes crowd-in bribery in the charcoal market
Bivariate analysis · Business · Econometrics · Economics · Government (linguistics) · Labour economics · Logit · Monetary economics · Multivariate probit model · Payment · Probit · Probit model · Public economics · Tobit model · Transferability · Corruption and Economic Development · Economic Growth and Development · Finance · Taxation and Compliance Studies
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| Obras citantes distintas | 4 |
|---|---|
| Citações por ano | 0,44 |
| Intervalo de citações | 2017 - 2027 (11) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 3 |