IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v236y2016i5p533-556.html
   My bibliography  Save this article

Determinants of Business Fixed Investment: Evidence from German Firm-Level Data

Author

Listed:
  • Buettner Thiess
  • Hoenig Anja

    (Friedrich-Alexander-University (FAU), Lange Gasse 20, D-90403 Nuremberg, Germany)

Abstract

This paper employs a novel firm-level dataset that combines financial accounts of German firms with data from a business survey to shed new light on the demand for capital. The empirical analysis employs firm-specific indicators in order to explore the effects of sales, the cost of capital and indicators of the business climate, which are used by the ifo Institute to provide a leading indicator for the German economy. The empirical results support a robust significant effect of a firm’s cost of capital on the stock of capital with an elasticity not significantly different from –1. Controlling for sales, a good rather than normal business situation is found to be associated with about 8 % higher investment.

Suggested Citation

  • Buettner Thiess & Hoenig Anja, 2016. "Determinants of Business Fixed Investment: Evidence from German Firm-Level Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(5), pages 533-556, October.
  • Handle: RePEc:jns:jbstat:v:236:y:2016:i:5:p:533-556
    as

    Download full text from publisher

    File URL: https://www.degruyter.com/view/j/jbnst.2016.236.issue-5/jbnst-2015-1027/jbnst-2015-1027.xml?format=INT
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Thiess Buettner & Clemens Fuest, 2010. "The role of the corporate income tax as an automatic stabilizer," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 17(6), pages 686-698, December.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Sascha O. Becker & Klaus Wohlrabe, 2008. "European Data Watch: Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 128(2), pages 307-319.
    5. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    6. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    7. Stephen Bond & Jing Xing, 2010. "Corporate taxation and capital accumulation," Working Papers 1015, Oxford University Centre for Business Taxation.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    2. Kampelmann, Stephan & Rycx, François, 2012. "The impact of educational mismatch on firm productivity: Evidence from linked panel data," Economics of Education Review, Elsevier, vol. 31(6), pages 918-931.
    3. Bertrand, Olivier & Zuniga, Pluvia, 2006. "R&D and M&A: Are cross-border M&A different? An investigation on OECD countries," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 401-423, March.
    4. Fernando Mayoral & Carlos Garcimartín, 2013. "The impact of population on the reduction of steady-state disparities across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 49-69, February.
    5. Falavigna, Greta & Ippoliti, Roberto, 2023. "SMEs’ behavior under financial constraints: An empirical investigation on the legal environment and the substitution effect with tax arrears," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    6. Guerino Ardizzi & Massimiliano Cologgi, 2022. "Business models and pricing strategies in the market for ATM withdrawals," Temi di discussione (Economic working papers) 23, Bank of Italy, Economic Research and International Relations Area.
    7. Martin Andersson & Hans Lööf, 2009. "Learning‐by‐Exporting Revisited: The Role of Intensity and Persistence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(4), pages 893-916, December.
    8. Piccoli, Luca & Tiezzi, Silvia, 2021. "Rational addiction and time-consistency: An empirical test," Journal of Health Economics, Elsevier, vol. 80(C).
    9. Charles Yuji Horioka & Junmin Wan, 2007. "The Determinants of Household Saving in China: A Dynamic Panel Analysis of Provincial Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 2077-2096, December.
    10. Samargandi, Nahla & Fidrmuc, Jan & Ghosh, Sugata, 2015. "Is the Relationship Between Financial Development and Economic Growth Monotonic? Evidence from a Sample of Middle-Income Countries," World Development, Elsevier, vol. 68(C), pages 66-81.
    11. Abdelraouf, Nadine & Noureldin, Diaa, 2022. "The impact of the exchange rate regime on the dispersion of the price-change distribution: Evidence from a large panel of countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    12. Benoît Mahy & François Rycx & Guillaume Vermeylen & Mélanie Volral, 2022. "Productivity and wage effects of firm‐level upstreamness: Evidence from Belgian linked panel data," The World Economy, Wiley Blackwell, vol. 45(7), pages 2222-2250, July.
    13. Meschi, Elena & Taymaz, Erol & Vivarelli, Marco, 2011. "Trade, technology and skills: Evidence from Turkish microdata," Labour Economics, Elsevier, vol. 18(S1), pages 60-70.
    14. Noy, Ilan & Vu, Tam Bang, 2010. "The economics of natural disasters in a developing country: The case of Vietnam," Journal of Asian Economics, Elsevier, vol. 21(4), pages 345-354, August.
    15. Isis Gaddis & Stephan Klasen, 2014. "Economic development, structural change, and women’s labor force participation:," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(3), pages 639-681, July.
    16. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    17. Ayman Hassan Bazhair & Mohammed Naif Alshareef, 2022. "Dynamic relationship between ownership structure and financial performance: a Saudi experience," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2098636-209, December.
    18. Caggese, Andrea, 2007. "Testing financing constraints on firm investment using variable capital," Journal of Financial Economics, Elsevier, vol. 86(3), pages 683-723, December.
    19. repec:zbw:bofrdp:2007_004 is not listed on IDEAS
    20. Juergen Bitzer & Erkan Goeren, 2018. "Foreign Aid and Subnational Development: A Grid Cell Analysis," Working Papers V-407-18, University of Oldenburg, Department of Economics, revised Mar 2018.
    21. Jamil, Abd Rahim Md. & Law, Siong Hook & Mohamad Khair-Afham, M.S. & Trinugroho, Irwan, 2023. "Financial inclusion and economic uncertainty in developing countries: The role of digitalisation," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 786-806.

    More about this item

    Keywords

    investment; business climate; cost of capital; capital structure; firm-level data; survey data; neutrality of taxation;
    All these keywords.

    JEL classification:

    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    Statistics

    Access and download statistics

    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:jns:jbstat:v:236:y:2016:i:5:p:533-556. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.