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Business Income Tax from Profit-Seeking Enterprises and Spatial Autocorrelation: Do Local Economic Characteristics Matter?

Author

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  • Hao-Chen Huang

    (Department of Public Finance and Taxation, National Kaohsiung University of Science and Technology, Kaohsiung 824303, Taiwan)

  • Chin-Fu Hung

    (Ph.D. Program in Business Intelligence School, National Kaohsiung University of Science and Technology, Kaohsiung 824303, Taiwan)

  • Chi-Lu Peng

    (Department of Public Finance and Taxation, National Kaohsiung University of Science and Technology, Kaohsiung 824303, Taiwan)

  • Ting-Hsiu Liao

    (Graduate Institute of Tourism Management, National Kaohsiung University of Hospitality and Tourism, Kaohsiung 81271, Taiwan)

Abstract

We seek to explore whether local economic characteristics affect the collection of profit-seeking enterprise (PSE) income tax in Taiwan, by adopting panel data from 2001 to 2020 collected in its counties and cities. The results of this analysis of spatial econometric modeling indicate that the increase in sales of profit-seeking enterprises (SPSE) has a positive and significant direct effect on the collection of PSE income tax in this county and city. In terms of spatial spillover effects, when the number of profit-seeking enterprises (NPSE) in neighboring regions increases and the percentage of employees working in industrial sectors (PEI) increases, they will then impact the increase in PSE income tax collection in any particular county and city. We find that the amount of PSE income tax collection relates to the agglomeration economy. The findings of this study may be provided as a reference for local governments to conduct administrative construction on the formulation of PSE income tax collection.

Suggested Citation

  • Hao-Chen Huang & Chin-Fu Hung & Chi-Lu Peng & Ting-Hsiu Liao, 2022. "Business Income Tax from Profit-Seeking Enterprises and Spatial Autocorrelation: Do Local Economic Characteristics Matter?," Land, MDPI, vol. 11(9), pages 1-18, September.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1533-:d:911908
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