IDEAS home Printed from https://ideas.repec.org/a/jfr/ijhe11/v5y2016i3p155.html
   My bibliography  Save this article

Investigating Causality between Global Experience and Global Competency for Undergraduates in Contemporary China’s Higher Education: A Transformative Learning Theory Perspective

Author

Listed:
  • Jian Li
  • Jinhui Xu

Abstract

The purpose of this study is to investigate the causal relationship between global experience and global competency from a transformative learning theory perspective. China society is becoming more and more linguistically and culturally diverse in a global context. Moreover, Chinese students should be knowledgeable about the international issues to successfully communicate with others in a global world. Hence, in this study, causal inference analysis was used to identify the relations between global experience and global competency methodologically. Cross-cultural experience is essential to enhance students’ global competency. Therefore, investigating the relationship between global experience and global competency is significant to develop pedagogical assessments. This study found that the global experience is associated with global competence. Therefore, providing sufficient intercultural opportunities and sustainable funding supports are fundamental for HEIs to improve global competency in contemporary Chinese higher education system.

Suggested Citation

  • Jian Li & Jinhui Xu, 2016. "Investigating Causality between Global Experience and Global Competency for Undergraduates in Contemporary China’s Higher Education: A Transformative Learning Theory Perspective," International Journal of Higher Education, Sciedu Press, vol. 5(3), pages 155-155, August.
  • Handle: RePEc:jfr:ijhe11:v:5:y:2016:i:3:p:155
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/ijhe/article/download/10022/6099
    Download Restriction: no

    File URL: https://www.sciedupress.com/journal/index.php/ijhe/article/view/10022
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guildo W. Imbens, 2003. "Sensitivity to Exogeneity Assumptions in Program Evaluation," American Economic Review, American Economic Association, vol. 93(2), pages 126-132, May.
    2. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    3. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, vol. 42(4), pages 679-694, July.
    4. James J. Heckman, 1989. "Causal Inference and Nonrandom Samples," Journal of Educational and Behavioral Statistics, , vol. 14(2), pages 159-168, June.
    5. James J. Heckman, 2000. "Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 45-97.
    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. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
    2. Heckman, James, 2001. "Accounting for Heterogeneity, Diversity and General Equilibrium in Evaluating Social Programmes," Economic Journal, Royal Economic Society, vol. 111(475), pages 654-699, November.
    3. repec:hal:wpspec:info:hdl:2441/3vl5fe4i569nbr005tctlc8ll5 is not listed on IDEAS
    4. James J. Heckman, 2008. "Econometric Causality," International Statistical Review, International Statistical Institute, vol. 76(1), pages 1-27, April.
    5. Battistin, Erich & Chesher, Andrew, 2014. "Treatment effect estimation with covariate measurement error," Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
    6. Shen, Chung-Hua & Wu, Meng-Wen & Chen, Ting-Hsuan & Fang, Hao, 2016. "To engage or not to engage in corporate social responsibility: Empirical evidence from global banking sector," Economic Modelling, Elsevier, vol. 55(C), pages 207-225.
    7. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Jochmans, Koen, 2015. "Multiplicative-error models with sample selection," Journal of Econometrics, Elsevier, vol. 184(2), pages 315-327.
    9. repec:hal:spmain:info:hdl:2441/3vl5fe4i569nbr005tctlc8ll5 is not listed on IDEAS
    10. Matzkin, Rosa L., 2012. "Identification in nonparametric limited dependent variable models with simultaneity and unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 166(1), pages 106-115.
    11. Christian Bayer & Falko Juessen, 2012. "On the Dynamics of Interstate Migration: Migration Costs and Self-Selection," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(3), pages 377-401, July.
    12. Jan Diebecker & Friedrich Sommer, 2017. "The impact of corporate sustainability performance on information asymmetry: the role of institutional differences," Review of Managerial Science, Springer, vol. 11(2), pages 471-517, March.
    13. Blundell, Richard & Macurdy, Thomas, 1999. "Labor supply: A review of alternative approaches," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 27, pages 1559-1695, Elsevier.
    14. Anna Salomons & Maarten Goos, 2014. "Measuring Teaching Quality in Higher Education: Assessing the Problem of Selection Bias in Course Evaluations," Working Papers 14-16, Utrecht School of Economics.
    15. van Soest, A.H.O., 1990. "Essays on micro-econometric models of consumer demand and the labour market," Other publications TiSEM be045d62-a73d-4d7c-a591-f, Tilburg University, School of Economics and Management.
    16. Kyoo-il Kim & José Carlos Rodríguez-Pueblita, 2005. "Are Married Women Secondary Workers? The Evolution of Married Women's Labor Supply in the U.S. from 1983 to 2000: Working Paper 2005-11," Working Papers 17570, Congressional Budget Office.
    17. Jan Willem Nijenhuis, 2021. "Estimation of ordered probit model with endogenous switching between two latent regimes," 2021 Stata Conference 22, Stata Users Group.
    18. James J. Heckman & Jeffrey A. Smith, 1998. "Evaluating the Welfare State," NBER Working Papers 6542, National Bureau of Economic Research, Inc.
    19. James J. Heckman, 2010. "Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 356-398, June.
    20. Sunil Mithas & M. S. Krishnan, 2009. "From Association to Causation via a Potential Outcomes Approach," Information Systems Research, INFORMS, vol. 20(2), pages 295-313, June.
    21. repec:spo:wpmain:info:hdl:2441/3vl5fe4i569nbr005tctlc8ll5 is not listed on IDEAS
    22. Maarten Goos & Anna Salomons, 2017. "Measuring teaching quality in higher education: assessing selection bias in course evaluations," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(4), pages 341-364, June.
    23. Porgo, Mohamed & Kuwornu, John K.M. & Zahonogo, Pam & Jatoe, John Baptist D. & Egyir, Irene S., 2018. "Credit constraints and cropland allocation decisions in rural Burkina Faso," Land Use Policy, Elsevier, vol. 70(C), pages 666-674.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:jfr:ijhe11:v:5:y:2016:i:3:p:155. 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: Sciedu Press (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.