Measuring Knowledge Spillovers: A Non-appropriable Returns Perspective
AbstractA new approach is developed to measure knowledge spillovers by means of proportion of non-appropriable returns to social returns, assuming no specific forms of production and knowledge functions. It is complicated theoretically, but very simple and practical empirically. Using PWT 6.3, we find that: 1. the measure of spillovers is nonlinear to income; 2. spillovers do not exist when income is low, but do exist in higher income groups; 3. the elasticity of knowledge is nonlinear to income; 4. spillovers exist even when the elasticity of output to capital is roughly close to direct measure of capital's share.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Society for AEF in its journal Annals of Economics and Finance.
Volume (Year): 12 (2011)
Issue (Month): 2 (November)
Knowledge spillovers; Measure; Non-appropriable returns; Capital's share; Dynamic OLS;
Find related papers by JEL classification:
- D62 - Microeconomics - - Welfare Economics - - - Externalities
- O33 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Kaddour Hadri, 1999.
"Testing For Stationarity In Heterogeneous Panel Data,"
1999_04, University of Liverpool Management School.
- Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
- N. Gregory Mankiw & David Romer & David N. Weil, 1992.
"A Contribution to the Empirics of Economic Growth,"
NBER Working Papers
3541, National Bureau of Economic Research, Inc.
- Trajtenberg, Manuel, 1989. "The Welfare Analysis of Product Innovations, with an Application to Computed Tomography Scanners," Journal of Political Economy, University of Chicago Press, vol. 97(2), pages 444-79, April.
- Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
- Romer, Paul M, 1986.
"Increasing Returns and Long-run Growth,"
Journal of Political Economy,
University of Chicago Press, vol. 94(5), pages 1002-37, October.
- Charles I. Jones & John C. Williams, 1997.
"Measuring the social return to R&D,"
Finance and Economics Discussion Series
1997-12, Board of Governors of the Federal Reserve System (U.S.).
- Philippe Aghion, 2004. "Growth and Development: A Schumpeterian Approach," Annals of Economics and Finance, Society for AEF, vol. 5(1), pages 1-25, May.
- 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.
- Tom Doan, . "LEVINLIN: RATS procedure to perform Levin-Lin-Chu test for unit roots in panel data," Statistical Software Components RTS00242, Boston College Department of Economics.
- 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.
- Tom Doan, . "HTUNIT: RATS procedure to implement Harris-Tzavalis unit root test for panel data," Statistical Software Components RTS00092, Boston College Department of Economics.
- Xiaokai Yang & Dingsheng Zhang, 2000.
"Endogenous Structure of the Division of Labor, Endogenous Trade Policy Regime, and a Dual Structure in Economic Development,"
Annals of Economics and Finance,
Society for AEF, vol. 1(1), pages 211-230, May.
- Xiaokai Yang & Dingsheng Zhang, 1999. "Endogenous Structure of the Division of Labor, Endogenous Trade Policy Regime, and a Dual Structure in Economic Development," CEMA Working Papers 11, China Economics and Management Academy, Central University of Finance and Economics, revised Apr 2000.
- Kaiser, Ulrich, 2002.
"Measuring knowledge spillovers in manufacturing and services: an empirical assessment of alternative approaches,"
Elsevier, vol. 31(1), pages 125-144, January.
- Kaiser, Ulrich, 1999. "Measuring Knowledge Spillovers in Manufacturing and Services: An Empirical Assessment of Alternative Approaches," ZEW Discussion Papers 99-62, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- Jeffrey D. Sachs & Wing Thye Woo & Xiaokai Yang, 2000.
"Economic Reforms and Constitutional Transition,"
CID Working Papers
43, Center for International Development at Harvard University.
- Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003.
"Testing for unit roots in heterogeneous panels,"
Journal of Econometrics,
Elsevier, vol. 115(1), pages 53-74, July.
- Tom Doan, . "IPSHIN: RATS procedure to implement Im, Pesaran and Shin panel unit root test," Statistical Software Components RTS00098, Boston College Department of Economics.
- Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
- Nelson, Andrew J., 2009. "Measuring knowledge spillovers: What patents, licenses and publications reveal about innovation diffusion," Research Policy, Elsevier, vol. 38(6), pages 994-1005, July.
- Chihwa Kao & Min-Hsien Chiang, 1997.
"On the Estimation and Inference of a Cointegrated Regression in Panel Data,"
- Chihwa Kao & Min-Hsien Chiang, 1999. "On the Estimation and Inference of a Cointegrated Regression in Panel Data," Center for Policy Research Working Papers 2, Center for Policy Research, Maxwell School, Syracuse University.
- Bresnahan, Timothy F, 1986. "Measuring the Spillovers from Technical Advance: Mainframe Computers inFinancial Services," American Economic Review, American Economic Association, vol. 76(4), pages 742-55, September.
- Mansfield, Edwin, et al, 1977. "Social and Private Rates of Return from Industrial Innovations," The Quarterly Journal of Economics, MIT Press, vol. 91(2), pages 221-40, May.
- Lang, Guenter, 2009. "Measuring the returns of R&D--An empirical study of the German manufacturing sector over 45 years," Research Policy, Elsevier, vol. 38(9), pages 1438-1445, November.
- Andrea Bonaccorsi & Cinzia Daraio, 2013. "Knowledge spillover effects at the sub-regional level. Theory and estimation," DIAG Technical Reports 2013-13, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Qiang Gao).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.