References
- Abegaz, M., and G. Nene. 2018. Gender Wage and Productivity Gaps in the Manufacturing Industry. The Case of Ghana. Economic Papers: A Journal of Applied Economics and Policy 37 (3): 313–326. doi:https://doi.org/10.1111/1759-3441.12224.
- Adewale, A. J., L. Hayduk, C. A. Estabrooks, G. G. Cummings, W. K. Midodzi, and L. Derksen. 2007. Understanding Hierarchical Linear Models: Applications in Nursing Research. Nursing Research 56 (4 Suppl): S40–S46. doi:https://doi.org/10.1097/01.NNR.0000280634.71278.a0.
- Alcock, J., and E. Steiner. 2017. Unexpected Inflation, Capital Structure, and Real Risk-Adjusted Firm Performance. Abacus 53 (2): 273–298. doi:https://doi.org/10.1111/abac.12102.
- Assaf, A. G., and A. Josiassen. 2016. Frontier Analysis: A State-of-the-Art Review and Meta-Analysis. Journal of Travel Research 55 (5): 612–627. doi:https://doi.org/10.1177/0047287515569776.
- Bačić, K., I. Rašić Bakarić, and S. Slijepčević. 2018. Sources of Productivity Differentials in Manufacturing in Post-Transition Urban South-East Europe. Post-Communist Economies 30 (4): 526–548. doi:https://doi.org/10.1080/14631377.2018.1443249.
- Bamiatzi, V., and G. Hall. 2009. Firm versus Sector Effects on Profitability and Growth: The Importance of Size and Interaction. International Journal of the Economics of Business 16 (2): 205–220. doi:https://doi.org/10.1080/13571510902917517.
- Bauer, P. W., A. N. Berger, G. D. Ferrier, and D. B. Humphrey. 1998. Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods. Journal of Economics and Business 50 (2): 85–114. doi:https://doi.org/10.1016/S0148-6195(97)00072-6.
- Bogetoft, P., and L. Otto. 2011. Benchmarking with DEA, SFA, and R. New York: Springer.
- Bouwmeester, W., J. W. R. Twisk, T. H. Kappen, W. A. van Klei, K. G. M. Moons, and Y. Vergouwe. 2013. Prediction Models for Clustered Data: comparison of a Random Intercept and Standard Regression Model. BMC Medical Research Methodology 13 (1): 19. doi:https://doi.org/10.1186/1471-2288-13-19.
- Bryk, A. S., and S. W. Raudenbush. 1992. Hierarchical Linear Models: Applications and Data Analysis Methods. London: Sage Publications, Inc.
- Cheah, B. C. 2009. Clustering Standard Errors or Modeling Multilevel Data. Working Paper, Columbia University, New York.
- Chen, S.-J., M.-H. Chen, and H.-L. Wei. 2017. Financial Performance of Chinese Airlines: Does State Ownership Matter? Journal of Hospitality and Tourism Management 33: 1–10. doi:https://doi.org/10.1016/j.jhtm.2017.08.001.
- Chen, T.-Y., and R.-C. Jou. 2019. Using HLM to Investigate the Relationship between Traffic Accident Risk of Private Vehicles and Public Transportation. Transportation Research Part A: Policy and Practice 119: 148–161.
- Cheung, Y.-W., and R. Sengupta. 2013. Impact of Exchange Rate Movements on Exports: An Analysis of Indian Non-Financial Sector Firms. Journal of International Money and Finance 39: 231–245. doi:https://doi.org/10.1016/j.jimonfin.2013.06.026.
- Choi, J. J., C. Jiang, and O. Shenkar. 2015. The Quality of Local Government and Firm Performance: The Case of China's Provinces. Management and Organization Review 11 (4): 679–710. doi:https://doi.org/10.1017/mor.2015.46.
- Coelli, T. J., D. S. P. Rao, C. J. O'Donnell, and G. E. Battese. 2005. An Introduction to Efficiency and Productivity Analysis. 2 ed. New York: Springer.
- Cook, W. D., and R. H. Green. 2005. Evaluating Power Plant Efficiency: A Hierarchical Model. Computers & Operations Research 32 (4): 813–823. doi:https://doi.org/10.1016/j.cor.2003.08.019.
- Cooper, W. W., L. M. Seiford, and J. Zhu. 2011. Handbook on Data Envelopment Analysis. New York: Springer US.
- Dang, V. T., and C.-S. Lin. 2017. Using Hierarchical Linear Modeling to Test the Effect of Overall Strategic Fit on Firm Performance in Different Industry. Chinese Management Studies 11 (4): 637–657. doi:https://doi.org/10.1108/CMS-09-2016-0180.
- Daniels, M. J., and C. Gatsonis. 1999. Hierarchical Generalized Linear Models in the Analysis of Variations in Health Care Utilization. Journal of the American Statistical Association 94 (445): 29–42. doi:https://doi.org/10.1080/01621459.1999.10473816.
- Daraio, C., L. Simar, and P. W. Wilson. 2010. Testing Whether Two-Stage Estimation is Meaningful in Non-Parametric Models of Production. ISBA Discussion Paper.
- Delis, M. D., A. Koutsomanoli-Fillipaki, C. K. Staikouras, and G. Katerina. 2009. Evaluating Cost and Profit Efficiency: A Comparison of Parametric and Nonparametric Methodologies. Applied Financial Economics 19 (3): 191–202. doi:https://doi.org/10.1080/09603100801935370.
- Dong, Y., R. Hamilton, and M. Tippett. 2014. Cost Efficiency of the Chinese Banking Sector: A Comparison of Stochastic Frontier Analysis and Data Envelopment Analysis. Economic Modelling 36: 298–308. doi:https://doi.org/10.1016/j.econmod.2013.09.042.
- Farole, T. 2010. Second Best? Investment Climate and Performance in Africa's Special Economic Zones. Policy Research working paper, No. WP S 5447. World Bank. https://openknowledge.worldbank.org/handle/10986/3930
- Forbes, K. J. 2002. How Do Large Depreciations Affect Firm Performance? IMF Staff Papers 49 (1): 214–238.
- Fu, X., K. W. H. Tsui, B. Sampaio, and D. Tan. 2020. Do Airport Activities Affect Regional Economies? Regional Analysis of New Zealand’s Airport System. Regional Studies 55 (4): 707–722.
- Greenaway, D., R. Kneller, and X. Zhang. 2010. The Effect of Exchange Rates on Firm Exports: The Role of Imported Intermediate Inputs. The World Economy 33 (8): 961–986. doi:https://doi.org/10.1111/j.1467-9701.2010.01308.x.
- GSO. 2016. Business Results of Vietnamese Enterprises in the Period 2010-2014. Hanoi: General Statistics Office (GSO).
- GSO. 2018. Decree No. 1251/QD-TCTK on Implementing the Annual Survey on Enterprises in 2018. Hanoi: General Statistics Office (GSO).
- Hammami, H., T. Ngo, D. Tripe, and D.-T. Vo. 2020. Ranking with a Euclidean Common Set of Weights in Data Envelopment Analysis: With Application to the Eurozone Banking Sector (Online First). Annals of Operations Research. doi:https://doi.org/10.1007/s10479-020-03759-6.
- Hawawini, G., V. Subramanian, and P. Verdin. 2004. The Home Country in the Age of Globalization: how Much Does It Matter for Firm Performance? Journal of World Business 39 (2): 121–135. doi:https://doi.org/10.1016/j.jwb.2003.08.012.
- Heshmati, A., and M. Rashidghalam. 2018. Labour Productivity in Kenyan Manufacturing and Service Industries. In Determinants of Economic Growth in Africa, edited by A. Heshmati, 259–286. Cham: Springer International Publishing.
- Ho, F. N., and C-w Huang. 2020. The Interdependencies of Marketing Capabilities and Operations Efficiency in Hospitals. Journal of Business Research 113: 337–347. doi:https://doi.org/10.1016/j.jbusres.2019.09.037.
- Ho, T. H., D. T. Nguyen, T. Ngo, and T. D. Q. Le. 2021. Efficiency in Vietnamese Banking: A Meta-Regression Analysis Approach. International Journal of Financial Studies 9 (3): 41. doi:https://doi.org/10.3390/ijfs9030041.
- Hu, J.-L., F.-Y. Yeh, and I. T. Chang. 2009. Industrial Park Efficiency in Taiwan. Journal of Information and Optimization Sciences 30 (1): 63–86. doi:https://doi.org/10.1080/02522667.2009.10699866.
- Huang, C.-H., and C.-H. Yang. 2016. Ownership, Trade, and Productivity in Vietnam’s Manufacturing Firms. Asia-Pacific Journal of Accounting & Economics 23 (3): 356–371. doi:https://doi.org/10.1080/16081625.2016.1188449.
- Huta, V. 2014. When to Use Hierarchical Linear Modeling. The Quantitative Methods for Psychology 10 (1): 13–28. doi:https://doi.org/10.20982/tqmp.10.1.p013.
- Jiang, N., and A. Andrews. 2020. Efficiency of New Zealand’s District Health Boards at Providing Hospital Services: A Stochastic Frontier Analysis. Journal of Productivity Analysis 53 (1): 53–68. doi:https://doi.org/10.1007/s11123-019-00550-z.
- Kaffash, S., R. Azizi, Y. Huang, and J. Zhu. 2020. A Survey of Data Envelopment Analysis Applications in the Insurance Industry 1993–2018. European Journal of Operational Research 284 (3): 801–813. doi:https://doi.org/10.1016/j.ejor.2019.07.034.
- Kalyuzhnova, Y., and M. Belitski. 2019. The Impact of Corruption and Local Content Policy in on Firm Performance: Evidence from Kazakhstan. Resources Policy 61: 67–76. doi:https://doi.org/10.1016/j.resourpol.2019.01.016.
- Kang, C.-C., C.-M. Feng, B.-R. Liao, and H. A. Khan. 2020. Accounting for Air Pollution Emissions and Transport Policy in the Measurement of the Efficiency and Effectiveness of Bus Transits. Transportation Letters 12 (5): 349–361. doi:https://doi.org/10.1080/19427867.2019.1592369.
- Kerstens, Kristiaan, Christopher O’Donnell, and Ignace Van de Woestyne. 2019. Metatechnology Frontier and Convexity: A Restatement. European Journal of Operational Research 275 (2): 780–792. doi:https://doi.org/10.1016/j.ejor.2018.11.064.
- Kohl, S., J. Schoenfelder, A. Fügener, and J. O. Brunner. 2019. The Use of Data Envelopment Analysis (DEA) in Healthcare with a Focus on Hospitals. Health Care Management Science 22 (2): 245–286. doi:https://doi.org/10.1007/s10729-018-9436-8.
- Le, T. D. Q., and T. Ngo. 2020. The Determinants of Bank Profitability: A Cross-Country Analysis. Central Bank Review 20 (2): 65–73. doi:https://doi.org/10.1016/j.cbrev.2020.04.001.
- Lee, J. 2009. Does Size Matter in Firm Performance? Evidence from US Public Firms. International Journal of the Economics of Business 16 (2): 189–203. doi:https://doi.org/10.1080/13571510902917400.
- Liu, J. S., L. Y. Y. Lu, W.-M. Lu, and B. J. Y. Lin. 2013. A Survey of DEA Applications. OMEGA 41 (5): 893–902. doi:https://doi.org/10.1016/j.omega.2012.11.004.
- López-López, V., S. Iglesias-Antelo, and E. Fernández. 2020. Is Sustainable Performance Explained by Firm Effect in Small Business? Sustainability 12 (23): 10028. doi:https://doi.org/10.3390/su122310028.
- Lu, Y. F., C. Gan, B. Hu, M. Y. Toh, and D. A. Cohen. 2018. Bank Efficiency in New Zealand: A Stochastic Frontier Approach. New Zealand Economic Papers, 1–18.
- Makridou, G., M. Doumpos, and E. Galariotis. 2019. The Financial Performance of Firms Participating in the EU Emissions Trading Scheme. Energy Policy 129: 250–259. doi:https://doi.org/10.1016/j.enpol.2019.02.026.
- Mauri, A. J., and M. P. Michaels. 1998. Firm and Industry Effects within Strategic Management: An Empirical Examination. Strategic Management Journal 19 (3): 211–219. doi:https://doi.org/10.1002/(SICI)1097-0266(199803)19:3<211::AID-SMJ947>3.0.CO;2-T.
- Mirza, S. A., and A. Javed. 2013. Determinants of Financial Performance of a Firm: Case of Pakistani Stock Market. Journal of Economics and International Finance 5 (2): 43–52. doi:https://doi.org/10.5897/JEIF12.043.
- Ngo, T., and T. Le. 2019. Capital Market Development and Bank Efficiency: A Cross-Country Analysis. International Journal of Managerial Finance 15 (4): 478–491. doi:https://doi.org/10.1108/IJMF-02-2018-0048.
- Ngo, T., T. Le, S. H. Tran, A. Nguyen, and C. Nguyen. 2019a. Sources of the Performance of Manufacturing Firms: evidence from Vietnam. Post-Communist Economies 31 (6): 790–804. doi:https://doi.org/10.1080/14631377.2019.1607129.
- Ngo, T., and D. Tripe. 2017. Measuring Efficiency of Vietnamese Banks: Accounting for Nonperforming Loans in a Single-Step Stochastic Cost Frontier Analysis. Pacific Accounting Review 29 (2): 171–182. doi:https://doi.org/10.1108/PAR-06-2016-0064.
- Ngo, T., and K. W. H. Tsui. 2020. A Data-Driven Approach for Estimating Airport Efficiency under Endogeneity: An Application to New Zealand Airports. Research in Transportation Business & Management 34: 100412. doi:https://doi.org/10.1016/j.rtbm.2019.100412.
- Ngo, T., H. V. Vu, H. Ho, T. T. T. Dao, and H. T. H. Nguyen. 2019b. Performance of Fish Farms in Vietnam–Does Financial Access Help Improve Their Cost Efficiency? International Journal of Financial Studies 7 (3): 45. doi:https://doi.org/10.3390/ijfs7030045.
- Nguyen, K. M., T. L. Giang, and V. H. Nguyen. 2012a. Efficiency and Super-Efficiency of Commercial Banks in Vietnam: Performances and Determinants. Asia-Pacific Journal of Operational Research 30 (1): 1250047.
- Nguyen, H.-D., T. Ngo, T. Le, H. Ho, and H. T. Nguyen. 2019. The Role of Knowledge in Sustainable Agriculture: Evidence from Rice Farms’ Technical Efficiency in Hanoi, Vietnam. Sustainability 11 (9): 2472. doi:https://doi.org/10.3390/su11092472.
- Nguyen, K. M., V. K. Pham, T. M. Nguyen, and T. P. A. Nguyen. 2012b. Productivity Growth, Technological Progress, and Efficiency Change in Vietnamese Manufacturing Industries: A Stochastic Frontier Approach. Open Journal of Statistics 2 (2): 224–235.
- Nguyen, P. A., and M. Simioni. 2015. Productivity and Efficiency of Vietnamese Banking System: new Evidence Using Färe-Primont Index Analysis. Applied Economics 47 (41): 4395–4407. doi:https://doi.org/10.1080/00036846.2015.1030565.
- Pham, H. T., T. L. Dao, and B. Reilly. 2010. Technical Efficiency in the Vietnamese Manufacturing Sector. Journal of International Development 22 (4): 503–520.
- Rabe-Hesketh, S., and A. Skrondal. 2012. Multilevel and Longitudinal Modeling Using Stata. 3rd ed. College Station, TX: StataCorp LP.
- Raudenbush, S. W., and W.-S. Chan. 1993. Application of a Hierarchical Linear Model to the Study of Adolescent Deviance in an Overlapping Cohort Design. Journal of Consulting and Clinical Psychology 61 (6): 941–951. doi:https://doi.org/10.1037/0022-006X.61.6.941.
- Sahoo, P. K., V. Le, and B. N. Rath. 2021. The Determinants of Firm Competitiveness: Evidence from the Indian Manufacturing Sector. International Journal of the Economics of Business : 1–21. doi:https://doi.org/10.1080/13571516.2021.1959251.
- Schunck, R., and F. Perales. 2017. Within- and between-Cluster Effects in Generalized Linear Mixed Models: A Discussion of Approaches and the Xthybrid Command. The Stata Journal: Promoting Communications on Statistics and Stata 17 (1): 89–115. doi:https://doi.org/10.1177/1536867X1701700106.
- StataCorp. 2019. Stata Statistical Software: Release 16. College Station, TX: StataCorp LP.
- Stegmueller, D. 2013. How Many Countries for Multilevel Modeling? A Comparison of Frequentist and Bayesian Approaches. American Journal of Political Science 57 (3): 748–761. doi:https://doi.org/10.1111/ajps.12001.
- Sullivan, L. M., K. A. Dukes, and E. Losina. 1999. An Introduction to Hierarchical Linear Modelling. Statistics in Medicine 18 (7): 855–888. doi:https://doi.org/10.1002/(SICI)1097-0258(19990415)18:7<855::AID-SIM117>3.0.CO;2-7.
- VCCI and USAID. 2018. The Vietnam Provincial Competitiveness Index 2017: Measuring Economic Governance for Business Development. Hanoi: Vietnam Chamber of Commerce and Industry (VCCI) & United States Agency for International Development in Vietnam (USAID).
- Verschelde, M., M. Dumont, G. Rayp, and B. Merlevede. 2016. Semiparametric Stochastic Metafrontier Efficiency of European Manufacturing Firms. Journal of Productivity Analysis 45 (1): 53–69. doi:https://doi.org/10.1007/s11123-015-0458-7.
- Vu, H. D. 2016. Technical Efficiency of FDI Firms in the Vietnamese Manufacturing Sector. Review of Economic Perspectives 16 (3): 205–230. doi:https://doi.org/10.1515/revecp-2016-0013.
- Vu, Q. N. 2003. Technical Efficiency of Industrial State-Owned Enterprises in Vietnam. Asian Economic Journal 17 (1): 87–101. doi:https://doi.org/10.1111/1351-3958.00163.
- Vu, H. V., M. Holmes, T. Q. Tran, and S. Lim. 2016. Firm Exporting and Productivity: what If Productivity is No Longer a Black Box. Baltic Journal of Economics 16 (2): 95–113. doi:https://doi.org/10.1080/1406099X.2016.1187382.
- Walheer, B. 2018. Aggregation of Metafrontier Technology Gap Ratios: The Case of European Sectors in 1995-2015. European Journal of Operational Research 269 (3): 1013–1026. doi:https://doi.org/10.1016/j.ejor.2018.02.048.
- Woltman, H., A. Feldstain, J. C. MacKay, and M. Rocchi. 2012. An Introduction to Hierarchical Linear Modeling. Tutorials in Quantitative Methods for Psychology 8 (1): 52–69. doi:https://doi.org/10.20982/tqmp.08.1.p052.
- World Bank. 2021. World Development Indicators (WDI).Washington, DC: The World Bank.