IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v17y2006i1p51-69.html
   My bibliography  Save this article

The impact of government's fundings and tax incentives on industrial R&D investments--Empirical evidences from industrial sectors in Shanghai

Author

Listed:
  • Zhu, Pingfang
  • Xu, Weimin
  • LUNDIN, Nannan

Abstract

No abstract is available for this item.

Suggested Citation

  • Zhu, Pingfang & Xu, Weimin & LUNDIN, Nannan, 2006. "The impact of government's fundings and tax incentives on industrial R&D investments--Empirical evidences from industrial sectors in Shanghai," China Economic Review, Elsevier, vol. 17(1), pages 51-69.
    • Handle: RePEc:eee:chieco:v:17:y:2006:i:1:p:51-69
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043-951X(05)00030-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kauko, K., 1996. "Effectiveness of R & D subsidies -- a sceptical note on the empirical literature," Research Policy, Elsevier, vol. 25(3), pages 321-323, May.
    2. David, Paul A. & Hall, Bronwyn H., 2000. "Heart of Darkness: Modeling Public-Private Funding Interactions Inside the R&D Black Box," Department of Economics, Working Paper Series qt5g29w0xq, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    3. David, Paul A. & Hall, Bronwyn H., 2000. "Heart of darkness: modeling public-private funding interactions inside the R&D black box," Research Policy, Elsevier, vol. 29(9), pages 1165-1183, December.
    4. Bruno Van Pottelsberghe & Henri Capron, 1997. "Public support to business R&D: a survey and some new quantitative evidence," ULB Institutional Repository 2013/6283, ULB -- Universite Libre de Bruxelles.
    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. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    7. 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.
    8. Dominique Guellec & Bruno Van Pottelsberghe De La Potterie, 2003. "The impact of public R&D expenditure on business R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(3), pages 225-243.
    9. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Yuanyuan & Liu, Guanchun & Zhang, Chengsi, 2021. "Local land supply and fiscal incentives for R&D: Evidence from a quasi-natural experiment in China," China Economic Review, Elsevier, vol. 68(C).
    2. José Ángel Zúñiga-Vicente & César Alonso-Borrego & Francisco J. Forcadell & José I. Galán, 2014. "Assessing The Effect Of Public Subsidies On Firm R&D Investment: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 28(1), pages 36-67, February.
    3. Bin Wang & Guangnan Zhang & James Peoples, 2016. "Decomposing productivity growth in Chinese manufacturing," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 6(11), pages 279-293, November.
    4. Kolesnikova, Irina, 2010. "State Aid for Industrial Enterprises in Belarus: Remedy or Poison?," MPRA Paper 22403, University Library of Munich, Germany.
    5. Sun, Yifan & Ma, Anbing & Su, Haorui & Su, Shiliang & Chen, Fei & Wang, Wen & Weng, Min, 2020. "Does the establishment of development zones really improve industrial land use efficiency? Implications for China’s high-quality development policy," Land Use Policy, Elsevier, vol. 90(C).
    6. Liu, Xiaolu & Li, Xiaoyu & Li, Honglin, 2016. "R&D subsidies and business R&D: Evidence from high-tech manufacturing firms in Jiangsu," China Economic Review, Elsevier, vol. 41(C), pages 1-22.
    7. Jia, Junxue & Ma, Guangrong, 2017. "Do R&D tax incentives work? Firm-level evidence from China," China Economic Review, Elsevier, vol. 46(C), pages 50-66.
    8. Dingqi Xue & Yili Ding & Lu Yu & Xinghua Deng, 2023. "The Impact of Green Institutional Pressure from Local Governments on Corporate Innovation: An Empirical Evidence from Foreign-Invested Enterprises in China," Sustainability, MDPI, vol. 15(15), pages 1-18, July.
    9. Böing, Philipp, 2014. "China's Technology Subsidies - Much ado about nothing?," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100536, Verein für Socialpolitik / German Economic Association.
    10. Dong, Jing & Gou, Yan-nan, 2010. "Corporate governance structure, managerial discretion, and the R&D investment in China," International Review of Economics & Finance, Elsevier, vol. 19(2), pages 180-188, April.
    11. Li Fang & Zhang Sheng, 2021. "Policy orientation, knowledge dynamic ability and green innovation: A mediation model based on China provincial panel data," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 39(1), pages 9-37.
    12. Juana Rivera-Lirio & María Muñoz-Torres, 2010. "The Effectiveness of the Public Support Policies for the European Industry Financing as a Contribution to Sustainable Development," Journal of Business Ethics, Springer, vol. 94(4), pages 489-515, July.

    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. Montmartin, Benjamin & Herrera, Marcos, 2015. "Internal and external effects of R&D subsidies and fiscal incentives: Empirical evidence using spatial dynamic panel models," Research Policy, Elsevier, vol. 44(5), pages 1065-1079.
    2. Garrone, Paola & Grilli, Luca, 2010. "Is there a relationship between public expenditures in energy R&D and carbon emissions per GDP? An empirical investigation," Energy Policy, Elsevier, vol. 38(10), pages 5600-5613, October.
    3. Trax, Michaela & Brunow, Stephan & Suedekum, Jens, 2015. "Cultural diversity and plant-level productivity," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 85-96.
    4. Michel Serafinelli, 2015. "'Good' Firms, Worker Flows and Local Productivity," Working Paper series 15-29, Rimini Centre for Economic Analysis.
    5. Serafinelli, Michel, 2013. "Good Firms, Worker Flows and Productivity," MPRA Paper 49055, University Library of Munich, Germany, revised 12 Aug 2013.
    6. Meri Davlasheridze & Pinar C. Geylani, 2017. "Small Business vulnerability to floods and the effects of disaster loans," Small Business Economics, Springer, vol. 49(4), pages 865-888, December.
    7. Ejike Udeogu (a) , Uzochukwu Amakom (b) and Shampa Roy-Mukherjee (a), 2021. "Empirical Analysis of an Augmented Schumpeterian Endogenous Growth Model," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 46(1), pages 53-84, March.
    8. Wolff, Guntram B. & Reinthaler, Volker, 2008. "The effectiveness of subsidies revisited: Accounting for wage and employment effects in business R&D," Research Policy, Elsevier, vol. 37(8), pages 1403-1412, September.
    9. Segarra Blasco, Agustí, 1958- & Teruel, Mercedes & Bové Sans, Miquel Àngel, 2014. "A territorial approach to R&D subsidies: Empirical evidence for Catalonian firms," Working Papers 2072/242275, Universitat Rovira i Virgili, Department of Economics.
    10. Lior Gallo, 2011. "Export and Productivity - Evidence from Israel," Bank of Israel Working Papers 2011.08, Bank of Israel.
    11. Dongyang Zhang, 2017. "Is working capital management value-enhancing through alleviating financial constraints? Evidence from Chinese non-listed firms," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 15(4), pages 373-406, October.
    12. Eicher, Theo S. & Schreiber, Till, 2010. "Structural policies and growth: Time series evidence from a natural experiment," Journal of Development Economics, Elsevier, vol. 91(1), pages 169-179, January.
    13. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    14. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    15. Jose Garcia-Louzao & Linas Tarasonis, 2023. "Productivity-enhancing reallocation during the Great Recession: evidence from Lithuania," Oxford Economic Papers, Oxford University Press, vol. 75(3), pages 729-749.
    16. Jungmin Lee, 2008. "Outlier Aversion in Subjective Evaluation," Journal of Sports Economics, , vol. 9(2), pages 141-159, April.
    17. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    18. 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.
    19. Martin, Philippe & Mayer, Thierry & Mayneris, Florian, 2011. "Spatial concentration and plant-level productivity in France," Journal of Urban Economics, Elsevier, vol. 69(2), pages 182-195, March.
    20. Davide Consoli & Francesco Vona & Francesco Rentocchini, 2016. "That was then, this is now: skills and routinization in the 2000s," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(5), pages 847-866.

    More about this item

    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:eee:chieco:v:17:y:2006:i:1:p:51-69. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/chieco .

    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.