Abstract
This paper investigates the within country geographic mobility of researcher from their graduating universities and its relationship with publication productivity, paying special attention to the roles of Academicians, a member of the Chinese Academy of Science or Engineering. Various individual and institutional characteristics of researchers in environmental science and engineering in China and their publication productivity are collected and analyzed. We find that researcher geographic mobility from graduating institutions is generally associated with individual traits such as academic rank and age, and institutional characteristics such as school ranking and location. Researchers moving further away from their graduating institutions are generally associated with less productivity. The negative association can be explained by the fact that a significant portion of researchers stay within the same university where they received their highest degree; and these researchers are more productive than their peers who are hired from external institutions. Having an Academician in an institution is shown to be positively related to the likelihood of same university hires, and meanwhile positively related to higher publication productivity.
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Notes
Distributions of academicians across different universities can be found at https://www.edu.cn/.
Specific college names may vary slightly on the web page(s).
Individuals who are not directly hired right after graduation but have worked elsewhere before coming back to their Alma Mater, would not be counted as academic inbreeding cases (Berelson 1960). In our data collection, most individuals do not belong to this type. Because, once a graduate takes the initial position, the mobility to another institution has been extremely low. This has been the case for a long time in the past of Chinese higher education system. The unique phenomenon has lasted till recent years.
References
Abramo, G., D’Angelo, C. A., & Rosati, F. (2016). The north–south divide in the Italian higher education system. Scientometrics, 109(3), 2093–2117.
Aksnes, D. W., Rørstad, K., Piro, F. N., & Sivertsen, G. (2013). Are mobile researchers more productive and cited than non-mobile researchers? A large-scale study of Norwegian scientists. Research Evaluation, 22(4), 215–223.
Albarrán, P., Carrasco, R., & Ruiz-Castillo, J. (2017). Geographic mobility and research productivity in a selection of top world economics departments. Scientometrics, 111(1), 241–265.
Allison, P. D. (1980). Inequality and scientific productivity. Social Studies of Science, 10(2), 163–179.
Altbach, P. G., Yudkevich, M., & Rumbley, L. E. (2015). Academic inbreeding: local challenge, global problem. Asia Pacific Education Review, 16(3), 317–330.
Azoulay, P., Ganguli, I., & Zivin, G. J. (2017). The mobility of elite life scientists: Professional and personal determinants. Research Policy, 46(3), 573–590.
Bagues, M. F., & Zinovyeva, N. (2012). The role of connections in academic promotions. Instituto para el Desarrollo Empresarial(INDEM).
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173.
Berelson, B. (1960). Graduate education in the United States.
Bernela, B., Bouba-Olga, O., & Ferru, M. (2017). Spatial patterns of PhDs’ internal migration in France, 1970–2000. Journal of Innovation Economics & Management, 1, 33–58.
Bolli, T., & Schläpfer, J. (2015). Job mobility, peer effects, and research productivity in economics. Scientometrics, 104(3), 629–650.
Cañibano, C., Otamendi, F. J., & Solís, F. (2011). International temporary mobility of researchers: a cross-discipline study. Scientometrics, 89(2), 653–675.
Cañibano, C., Otamendi, J., & Andújar, I. (2008). Measuring and assessing researcher mobility from CV analysis: the case of the Ramón y Cajal programme in Spain. Research Evaluation, 17(1), 17–31.
Cao, C. (2004). China’s scientific elite. Routledge.
Cao, C., & Suttmeier, R. P. (2001). China's new scientific elite: Distinguished young scientists, the research environment and hopes for Chinese science. The China Quarterly, 168, 960–984.
Chen, N., Litvak, N., & Olvera-Cravioto, M. (2017). Generalized pagerank on directed configuration networks. Random Structures & Algorithms, 51(2), 237–274.
Cheng, T., & Selden, M. (1994). The origins and social consequences of China’s hukou system. The China Quarterly, 139, 644–668.
Clauset, A., Arbesman, S., & Larremore, D. B. (2015). Systematic inequality and hierarchy in faculty hiring networks. Science advances, 1(1), e1400005.
Cruz-Castro, L., & Sanz-Menendez, L. (2010). Mobility versus job stability: Assessing tenure and productivity outcomes. Research Policy, 39(1), 27–38.
De Filippo, D., Casado, E. S., & Gómez, I. (2009). Quantitative and qualitative approaches to the study of mobility and scientific performance: A case study of a Spanish university. Research Evaluation, 18(3), 191–200.
Deville, P., Wang, D., Sinatra, R., Song, C., Blondel, V. D., & Barabási, A. (2014). Career on the move: Geography, stratification, and scientific impact. Scientific Reports, 4(1), 4770–4770.
Dietz, J., Chompalov, I., Bozeman, B., Lane, E., & Park, J. (2000). Using the curriculum vita to study the career paths of scientists and engineers: An exploratory assessment. Scientometrics, 49(3), 419–442.
Ding, Y., Yan, E., Frazho, A., & Caverlee, J. (2009). PageRank for ranking authors in co-citation networks. Journal of the American Society for Information Science and Technology, 60(11), 2229–2243.
Docquier, F., & Rapoport, H. (2012). Globalization, brain drain, and development. Journal of economic literature, 50(3), 681–730.
Dutton, J. E. (1980). The impact of inbreeding and immobility on the professional role and scholarly performance of academic scientists. National Science Foundation.
Eisenberg, T., & Wells, M. T. (2000). Inbreeding in law school hiring: Assessing the performance of faculty hired from within. The Journal of Legal Studies, 29(S1), 369–388.
Fernández-Zubieta, A., Geuna, A., & Lawson, C. (2016). Productivity pay-offs from academic mobility: Should I stay or should I go? Industrial and Corporate Change, 25(1), 91–114.
Gokturk, D., & Yildirim-Tasti, O. (2020). The role of academic inbreeding in building institutional and research habitus: A case study from Turkey. Higher Education Policy, 1–21.
Gorelova, O., & Yudkevich, M. (2015). Academic inbreeding: State of the literature. Academic inbreeding and mobility in higher education (pp. 17–44). Palgrave Macmillan UK.
Gu, H. B., & Cao, F. (2006). The weakness of university ‘academic inbreeding’ (in Chinese). 21st Century Economic Report, July 31.
He, Z., Zhen, N., & Wu, C. (2019). Measuring and exploring the geographic mobility of American professors from graduating institutions: Differences across disciplines, academic ranks, and genders. Journal of Informetrics, 13(3), 771–784.
Heckman, J. J. (1976). The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models. Annals of economic and social measurement (Vol. 5, pp. 475–492). NBER.
Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica: Journal of the Econometric Society, 47, 153–161.
Horta, H. (2013). Deepening our understanding of academic inbreeding effects on research information exchange and scientific output: New insights for academic based research. Higher education, 65(4), 487–510.
Horta, H. (2022). Academic inbreeding: Academic oligarchy, effects, and barriers to change. Minerva, 2022, 1–21.
Horta, H., Sato, M., & Yonezawa, A. (2011). Academic inbreeding: Exploring its characteristics and rationale in Japanese universities using a qualitative perspective. Asia Pacific Education Review, 12(1), 35–44.
Horta, H., Veloso, F. M., & Grediaga, R. (2010). Navel gazing: Academic inbreeding and scientific productivity. Management Science, 56(3), 414–429.
Huang, Y. T., & Xu, J. (2020). Surviving the performance management of academic work: Evidence from young Chinese academics. Higher Education Research & Development, 39(4), 704–718.
Jonkers, K., & Cruz-Castro, L. (2013). Research upon return: The effect of international mobility on scientific ties, production and impact. Research Policy, 42(8), 1366–1377.
Jonkers, K., & Tijssen, R. (2008). Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity. Scientometrics, 77(2), 309–333.
Li, F., & Tang, L. (2019). When international mobility meets local connections: Evidence from China. Science and Public Policy, 46(4), 518–529.
Li, Y., Wu, C., Yan, E., & Li, K. (2018). Will open access increase journal CiteScores? An empirical investigation over multiple disciplines. PloS one, 13(8), e0201885.
Liu, M., & Hu, X. (2021). Will collaborators make scientists move? A generalized propensity score analysis. Journal of Informetrics, 15(1), 101113.
Liu, M., & Hu, X. (2022). Movers’ advantages: The effect of mobility on scientists’ productivity and collaboration. Journal of Informetrics, 16(3), 101311.
Ma, N., Guan, J., & Zhao, Y. (2008). Bringing pagerank to the citation analysis. Information Processing & Management, 44(2), 800–810.
Momeni, F., Karimi, F., Mayr, P., Peters, I., & Dietze, S. (2022). The many facets of academic mobility and its impact on scholars’ career. Journal of Informetrics, 16(2), 101280.
Monteleone, S., & Torrisi, B. (2012). Geographical analysis of the academic brain drain in Italy. Scientometrics, 93(2), 413–430.
Navarro, A., & Rivero, A. (2001). High rate of inbreeding in Spanish universities. Nature, 410(6824), 14–14.
Park, H., Lee, J. J., & Kim, B. C. (2015). Project selection in NIH: A natural experiment from ARRA. Research Policy, 44(6), 1145–1159.
Petersen, A. M. (2018). Multiscale impact of researcher mobility. Journal of The Royal Society Interface, 15(146), 20180580.
Quan, X., Xiao, H., Ji, Q., & Zhang, J. (2020). Can innovative knowledge management platforms lead to corporate innovation? Evidence from academician workstations in China. Journal of Knowledge Management, 2020, 1–9.
Shauman, K. A., & Xie, Y. (1996). Geographic mobility of scientists: Sex differences and family constraints. Demography, 33(4), 455–468.
Shen, H., Xu, Z., & Zhang, B. (2015). Faculty inbreeding in China: Status, causes, and results. Academic inbreeding and mobility in higher education (pp. 73–98). Palgrave Macmillan.
Shi, W., Du, D., & Yang, W. (2019). The flow network of chinese scientists and its driving mechanisms based on the spatial development path of CAS and CAE academicians. Sustainability, 11(21), 5938.
Sologoub, I., & Coupé, T. (2015). Academic inbreeding in Ukraine. Academic inbreeding and mobility in higher education (pp. 228–258). Palgrave Macmillan.
Song, Y. (2014). What should economists know about the current Chinese hukou system? China Economic Review, 29, 200–212.
Sun, C., & Wang, Z. J. (2010). Faculty structure and development in Chinese higher education institutions (in Chinese). University, 8, 69–75.
Tartari, V., Di Lorenzo, F., & Campbell, B. A. (2020). “Another roof, another proof”: The impact of mobility on individual productivity in science. Journal of Technology Transfer, 45(1), 276–303.
Velho, L., & Krige, J. (1984). Publication and citation practices of Brazilian agricultural scientists. Social Studies of Science, 14(1), 45–62.
Vincenty, T. (1975). Direct and inverse solutions of geodesics on the ellipsoid with application of nested equations. Survey Review, 22(176), 88–93.
Wang, F. L. (2004). Reformed migration control and new targeted people: China’s hukou system in the 2000s. The China Quarterly, 177, 115–132.
Wang, J., Hooi, R., Li, A. X., & Chou, M. H. (2019). Collaboration patterns of mobile academics: The impact of international mobility. Science and Public Policy, 46(3), 450–462.
Wooldridge, J. M. (2015). Introductory econometrics: A modern approach. Cengage learning.
Woolley, R., & Turpin, T. (2009). CV analysis as a complementary methodological approach: Investigating the mobility of Australian scientists. Research Evaluation, 18(2), 143–151.
Wu, C., Hill, C., & Yan, E. (2017). Disciplinary knowledge diffusion in business research. Journal of Informetrics, 11(2), 655–668.
Wu, C., Yan, E., Zhu, Y., & Li, K. (2021). Gender imbalance in the productivity of funded projects: A study of the outputs of National Institutes of Health R01 grants. Journal of the Association for Information Science and Technology., 72, 1386.
Yamanoi, A. (2005). The academic marketplace in Japan: Inbreeding, grades and organization at research universities. Higher education forum (pp. 93–114). A COE publication.
Yan, G. C. (2011). The situation of academic profession in China and its analysis (in Chinese). Journal of Higher Education, 32(11), 1–9.
Yan, G., Yue, Y., & Niu, M. (2015). An empirical study of faculty mobility in China. Higher Education, 69(4), 527–546.
Yan, E., Wu, C., & Song, M. (2018). The funding factor: A cross-disciplinary examination of the association between research funding and citation impact. Scientometrics, 115(1), 369–384.
Yudkevich, M., Altbach, P. G., & Rumbley, L. E. (Eds.). (2015). Young faculty in the twenty-first century: International perspectives. SUNY Press.
Zhang, Z. H., & Jiang, L. H. (2010). Building teams of teachers is important to assure the quality of higher education: Analysis of teachers’ employment (in Chinese). Academy, (1), 80–84.
Zhao, Z., Bu, Y., Kang, L., Min, C., Bian, Y., Tang, L., & Li, J. (2020). An investigation of the relationship between scientists’ mobility to/from China and their research performance. Journal of Informetrics, 14(2), 101037.
Zhu, Y., & Yan, E. (2017). Examining academic ranking and inequality in library and information science through faculty hiring networks. Journal of Informetrics, 11(2), 641–654.
Zhu, Y., Yan, E., & Song, M. (2016). Understanding the evolving academic landscape of library and information science through faculty hiring data. Scientometrics, 108(3), 1461–1478.
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Appendix
Table 7 presents the regression results using Heckman sample selection bias correction technique. Column (1) shows the first state regression where the probability of stay within the same university of training. Column (2) shows the productivity regression when the reverse Mills ratio is added into the regression.
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Peng, C., Li, Z. & Wu, C. Researcher geographic mobility and publication productivity: an investigation into individual and institutional characteristics and the roles of academicians. Scientometrics 128, 379–406 (2023). https://doi.org/10.1007/s11192-022-04546-9
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DOI: https://doi.org/10.1007/s11192-022-04546-9