
The purpose of this paper is to estimate the variables affecting the efficiency of tax collection and to calculate tax capacity of Golestan province. For this purpose, the coefficients of the regression model are estimated based on time series and cross section data of 28 provinces of Iran by using panel data method during 2000-2005. Our findings demonstrate that value added of industry and mine, housing and constructions, and service sections have positive and significant effect on tax collection in province level. But per capita income does not have significant effect. Average tax effort, actual average tax efficiency and potential average tax efficiency were respectively 0.88, 1.18 and 1.35 in the province of Golestan.
sectional value added, tax capacity, Economics as a science, tax collection, tax effort, actual tax efficiency and potential tax efficiency, HB71-74
sectional value added, tax capacity, Economics as a science, tax collection, tax effort, actual tax efficiency and potential tax efficiency, HB71-74
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
