The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Measuring the innovation production process: A cross-region empirical study of China’s high-tech innovations
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Citations
Cites
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
Measuring the efficiency of decision making units
Charnes, A., Cooper, W. W., & Rhodes, E. (1978) · European Journal of Operational Research · doi:10.1016/0377-2217(78)90138-8 · Cited by 29,767
The Theory of Economic Development
Schumpeter, J., & Backhaus, U. (2006) · The European Heritage in Economics and the Social Sciences · doi:10.1007/0-306-48082-4_3 · Cited by 22,506
Endogenous Technological Change
Romer, P. M. (1990) · Journal of Political Economy · doi:10.1086/261725 · Cited by 17,711
Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
Banker, R. D., Charnes, A., & Cooper, W. W. (1984) · Management Science · doi:10.1287/mnsc.30.9.1078 · Cited by 16,729
The Measurement of Productive Efficiency
Farrell, M. J. (1957) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2343100 · Cited by 16,038
Endogenous Technological Change
Romer, P. (1989) · National Bureau of Economic Research · doi:10.3386/w3210 · Cited by 13,303
Formulation and estimation of stochastic frontier production function models
Aigner, D., Lovell, C. A. K., & Schmidt, P. (1977) · Journal of Econometrics · doi:10.1016/0304-4076(77)90052-5 · Cited by 10,135
Patent Statistics as Economic Indicators: A Survey
Griliches, Z. (1990) · National Bureau of Economic Research · doi:10.3386/w3301 · Cited by 5,828
The Economics of Industrial Innovation
Soete, L., & Freeman, C. (2012) · Routledge eBooks · doi:10.4324/9780203357637 · Cited by 4,744
Cited by
Guan, J., & Yam, R. C. M. (2015) · Research Policy · doi:10.1016/j.respol.2014.09.001 · Cited by 340
Self-citationRegional innovation system, absorptive capacity and innovation performance: An empirical study
Lau, A. K. W., & Lo, W. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2014.11.005 · Cited by 273
Metadata
- Authors
- Guan, J., & Chen, K.
- Venue
- Technovation
- Publisher
- Elsevier BV
- Published
- 2010-05
- Volume
- 30
- Issue
- 5-6
- Pages
- 348-358
- ISSN
- 0166-4972 (ISSN-L)
- OpenAlex
- W2003345906
- Cited by
- 345
- References
- 65
- FWCI
- 11.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Measuring the innovation production process: A cross-region empirical study of China’s high-tech innovations. https://app.cochat.ai/papers/10.1016/j.technovation.2010.02.001
- The paper
- Guan, J., & Chen, K. (2010). Measuring the innovation production process: A cross-region empirical study of China’s high-tech innovations. Technovation. https://doi.org/10.1016/j.technovation.2010.02.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
