IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i9p1533-d911908.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/9/1533/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/11/9/1533/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simon Loretz & Padraig Moore, 2013. "Corporate tax competition between firms," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 20(5), pages 725-752, October.
    2. Pereira, Alfredo Marvao & Roca-Sagales, Oriol, 2003. "Spillover effects of public capital formation: evidence from the Spanish regions," Journal of Urban Economics, Elsevier, vol. 53(2), pages 238-256, March.
    3. Jeffrey P. Cohen & Catherine J. Morrison Paul, 2004. "Public Infrastructure Investment, Interstate Spatial Spillovers, and Manufacturing Costs," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 551-560, May.
    4. Yong Tu & Hua Sun & Shi-Ming Yu, 2007. "Spatial Autocorrelations and Urban Housing Market Segmentation," The Journal of Real Estate Finance and Economics, Springer, vol. 34(3), pages 385-406, April.
    5. Quentin Frère & Matthieu Leprince & Sonia Paty, 2014. "The Impact of Intermunicipal Cooperation on Local Public Spending," Urban Studies, Urban Studies Journal Limited, vol. 51(8), pages 1741-1760, June.
    6. Sergio Rey & Brett Montouri, 1999. "US Regional Income Convergence: A Spatial Econometric Perspective," Regional Studies, Taylor & Francis Journals, vol. 33(2), pages 143-156.
    7. Elhorst, J. Paul & Emili, Silvia, 2022. "A spatial econometric multivariate model of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    8. Schmidheiny, Kurt, 2006. "Income segregation and local progressive taxation: Empirical evidence from Switzerland," Journal of Public Economics, Elsevier, vol. 90(3), pages 429-458, February.
    9. Fan, Songmei & Yan, Jingjing & Sha, Jinghua, 2017. "Innovation and economic growth in the mining industry: Evidence from China's listed companies," Resources Policy, Elsevier, vol. 54(C), pages 25-42.
    10. Lu, Chien-Lin & Liao, Wen-Chi & Peng, Chien-Wen, 2020. "Developers’ perspectives on timing to build: Evidence from microdata of land acquisition and development," Journal of Housing Economics, Elsevier, vol. 49(C).
    11. Min Hwang & John M. Quigley, 2006. "Economic Fundamentals In Local Housing Markets: Evidence From U.S. Metropolitan Regions," Journal of Regional Science, Wiley Blackwell, vol. 46(3), pages 425-453, August.
    12. Fernando A. López & Pedro J. Martínez-Ortiz & Juan-Gabriel Cegarra-Navarro, 2017. "Spatial spillovers in public expenditure on a municipal level in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(1), pages 39-65, January.
    13. Alexander Klemm & Stefan Parys, 2012. "Empirical evidence on the effects of tax incentives," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(3), pages 393-423, June.
    14. Sotiris Karkalakos & Christos Kotsogiannis, 2007. "A spatial analysis of provincial corporate income tax responses: evidence from Canada," Canadian Journal of Economics, Canadian Economics Association, vol. 40(3), pages 782-811, August.
    15. Liao, Wen-Chi & Wang, Xizhu, 2012. "Hedonic house prices and spatial quantile regression," Journal of Housing Economics, Elsevier, vol. 21(1), pages 16-27.
    16. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    17. Kameda, Taisuke & Namba, Ryoichi & Tsuruga, Takayuki, 2021. "Decomposing local fiscal multipliers: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 57(C).
    18. Jaakko Simonen & Rauli Svento & Artti Juutinen, 2015. "Specialization and diversity as drivers of economic growth: Evidence from High-Tech industries," Papers in Regional Science, Wiley Blackwell, vol. 94(2), pages 229-247, June.
    19. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    20. Pereira, Alfredo Marvao & Roca-Sagales, Oriol, 2003. "Spillover effects of public capital formation: evidence from the Spanish regions," Journal of Urban Economics, Elsevier, vol. 53(2), pages 238-256, March.
    21. Zhao, Jingfeng & Tang, Jianmin, 2018. "Industrial structure change and economic growth: A China-Russia comparison," China Economic Review, Elsevier, vol. 47(C), pages 219-233.
    22. Xiao Cheng & Yanping Pu, 2017. "Effective Tax Rates, Spatial Spillover, and Economic Growth in China: An Empirical Study Based on the Spatial Durbin Model," Annals of Economics and Finance, Society for AEF, vol. 18(1), pages 73-97, May.
    23. Yawei Qi & Wenxiang Peng & Neal N. Xiong, 2020. "The Effects of Fiscal and Tax Incentives on Regional Innovation Capability: Text Extraction Based on Python," Mathematics, MDPI, vol. 8(7), pages 1-19, July.
    24. Ismaëlh Cissé & Jean Dubé & Cédric Brunelle, 2020. "New business location: how local characteristics influence individual location decision?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(1), pages 185-214, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tong, Tingting & Yu, Tun-Hsiang Edward & Cho, Seong-Hoon & Jensen, Kimberly & De La Torre Ugarte, Daniel, 2013. "Evaluating the spatial spillover effects of transportation infrastructure on agricultural output across the United States," Journal of Transport Geography, Elsevier, vol. 30(C), pages 47-55.
    2. Raffaello Bronzini & Paolo Piselli, 2006. "Determinants of long-run regional productivity: the role of R&D, human capital and public infrastructure," Temi di discussione (Economic working papers) 597, Bank of Italy, Economic Research and International Relations Area.
    3. Bronzini, Raffaello & Piselli, Paolo, 2009. "Determinants of long-run regional productivity with geographical spillovers: The role of R&D, human capital and public infrastructure," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 187-199, March.
    4. Trofimov, Ivan D., 2020. "Public capital and productive economy profits: evidence from OECD economies," MPRA Paper 106848, University Library of Munich, Germany.
    5. Ward Romp & Jakob De Haan, 2007. "Public Capital and Economic Growth: A Critical Survey," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 8(S1), pages 6-52, April.
    6. Najkar, N. & Kohansal, M. R. & Ghorbani, M., 2018. "Estimating Spatial Effects of Transport Infrastructure on Agricultural Output of Iran," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).
    7. Tomomi Miyazaki, 2018. "Interactions between regional public and private investment: evidence from Japanese prefectures," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 195-211, January.
    8. Miguel Gómez-Antonio & Bernard Fingleton, 2012. "Regional productivity variation and the impact of public capital stock: an analysis with spatial interaction, with reference to Spain," Applied Economics, Taylor & Francis Journals, vol. 44(28), pages 3665-3677, October.
    9. Mehmet Balcilar & Rangan Gupta & Ricardo M. Sousa & Mark E. Wohar, 2021. "What Can Fifty-Two Collateralizable Wealth Measures Tell Us About Future Housing Market Returns? Evidence from U.S. State-Level Data," The Journal of Real Estate Finance and Economics, Springer, vol. 62(1), pages 81-107, January.
    10. Valter Di Giacinto & Giacinto Micucci & Pasqualino Montanaro, 2012. "Network effects of public transport infrastructure: Evidence on Italian regions," Papers in Regional Science, Wiley Blackwell, vol. 91(3), pages 515-541, August.
    11. Federici, Andrea, 2018. "Il rapporto tra capitale pubblico e altre variabili macroeconomiche: analisi della letteratura [The relationship between public capital and other macroeconomic variable: a literature review]," MPRA Paper 88515, University Library of Munich, Germany.
    12. Alfredo M. Pereira & Jorge M. Andraz, 2013. "On The Economic Effects Of Public Infrastructure Investment: A Survey Of The International Evidence," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(4), pages 1-37, December.
    13. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2011. "Investigating regional house price convergence in the United States: Evidence from a pair-wise approach," Economic Modelling, Elsevier, vol. 28(6), pages 2369-2376.
    14. repec:wyi:journl:002193 is not listed on IDEAS
    15. Miguel A. Márquez & Julián Ramajo & Geoffrey JD. Hewings, 2015. "Regional growth and spatial spillovers: Evidence from an SpVAR for the Spanish regions," Papers in Regional Science, Wiley Blackwell, vol. 94, pages 1-18, November.
    16. Balcilar, Mehmet & Gupta, Rangan & Sousa, Ricardo M. & Wohar, Mark E., 2021. "Linking U.S. State-level housing market returns, and the consumption-(Dis)Aggregate wealth ratio," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 779-810.
    17. Kalinca Léia Becker, 2023. "An analysis of Fundeb's contribution to the quality of public education in Brazilian municipalities," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 879-896, May.
    18. Bernard Fingleton & Miguel Gómez-Antonio, 2009. "Analysing the impact of public capital stock using the NEG wage equation: a panel data approach," Working Papers 0912, University of Strathclyde Business School, Department of Economics.
    19. Taotao Deng, 2013. "Impacts of Transport Infrastructure on Productivity and Economic Growth: Recent Advances and Research Challenges," Transport Reviews, Taylor & Francis Journals, vol. 33(6), pages 686-699, November.
    20. Álvarez, Inmaculada C. & Barbero, Javier & Zofío, José L., 2016. "A spatial autoregressive panel model to analyze road network spillovers on production," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 83-92.
    21. Pellervo Hamalainen, 2009. "Review of literature on the productivity of public capital," Discussion Papers 55, Aboa Centre for Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1533-:d:911908. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.