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Impulse response function analysis of the impacts of land value‐added tax policy on government performance
Author(s) -
Liu DayYang,
Yao HsinHsin,
Lu WenMin,
Lin ChengHsien
Publication year - 2020
Publication title -
managerial and decision economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.288
H-Index - 51
eISSN - 1099-1468
pISSN - 0143-6570
DOI - 10.1002/mde.3156
Subject(s) - data envelopment analysis , impulse response , econometrics , economics , vector autoregression , government (linguistics) , data collection , regression analysis , public economics , mathematics , mathematical optimization , statistics , mathematical analysis , linguistics , philosophy
In this study, an epsilon‐based network data envelopment analysis is employed to construct assessment mechanisms for government performance. Moreover, performance indicators of two dimensions of tax collection efficiency and financial effectiveness are measured. We propose a vector autoregression model in which all economic variables are regarded as dependent variables to address the disadvantages of traditional regression model. The conclusions are as follows: (a) measures of tax collection efficiency deteriorated, whereas those of financial effectiveness improved. (b) In an impulse response analysis of the model, an increase in government‐published land values produced significantly increased tax collection efficiency.