Skip to main content

Advertisement

Log in

How Does Leisure Time Affect Production Efficiency? Evidence from China, Japan, and the US

  • Published:
Social Indicators Research Aims and scope Submit manuscript

Abstract

Labor efficiency is a central concept in economics. Although investigators have studied the influence of some variables (e.g., education time and physical capital) on labor efficiency, most studies overlook the impact of leisure time. This investigation examines the relationship between leisure time and labor efficiency in the world’s three largest economies: China, the US and Japan. Results revealed a significant correlation between leisure time and labor efficiency, and demonstrate that active leisure participation can improve productivity. The findings also demonstrate that, in contrast to the US and Japan, China, as a typical developing country, has seldom seen an apparent positive effect of leisure time on efficiency, which may partially explained by the type of leisure participation (active or passive).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. Qualified leisure refers to the leisure time that can be influenced by human capital (Ortigueira 2000).

  2. Human capital refers to the stock of competencies, knowledge, creativity, social attributes, and personality that are embodied in the ability to produce economic value (Simkovic 2012).

  3. Working memory efficiency refers to the ability (i.e., speed, scale, and level) in brain metabolism responses. Please see the working memory assessment in Ruiz-Contreras et al. (2012, p. 92).

  4. Throughout the paper, the capital letters denote total amount and the lower-case letters denote per-capita amount, unless otherwise specified.

  5. Statistically, the problem of serial correlation could be ignored in the statistical experience if Durbin-Watson test statistics are significantly greater than 1.5 and less than 2.5 (Durbin and Watson 1971).

References

  • Aghion, P., & Howitt, P. (1992). A model of growth through creative destruction. Econometrica, 60(2), 323–351.

    Article  Google Scholar 

  • Aguiar, M., & Hurst, E. (2007). Measuring trends in leisure: The allocation of time over five decades. Quarterly Journal of Economics, 122(3), 969–1006.

  • Argyle, M. (2001). The psychology of happiness (2nd ed.). East Sussex: Routledge.

    Google Scholar 

  • Arndt, J. J., Gronmo, S. S., & Hawes, D. K. (1980). Allocation of time to leisure activities—Norwegian and American patterns. Journal of Cross-Cultural Psychology, 11(4), 498–511.

    Article  Google Scholar 

  • Baldwin, K., & Tinsley, H. (1988). An investigation of the validity of Tinsley and Tinsley’s (1986) theory of leisure experience. Journal of Counseling Psychology, 35, 263–267.

    Article  Google Scholar 

  • Barnett, L. A. (2006). Accounting for leisure preferences from within: The relative contribution of gender, race or ethnicity, personality, affective style and motivational orientation. Journal of Leisure Research, 38(4), 445–474.

    Google Scholar 

  • Barro, R. J. (1991). Economic growth in a cross section of countries. Quarterly Journal of Economics, 106(2), 407–433.

    Article  Google Scholar 

  • Beatty, J. E., & Torbert, W. R. (2003). The false duality of work and leisure. Journal of Management Inquiry., 12(3), 239–255.

    Article  Google Scholar 

  • Becker, G. S. (1965). A theory of the allocation of time. The Economic Journal, 75(299), 493–517.

    Article  Google Scholar 

  • Biddle, J., & Hamermesh, D. (1990). Sleep and the allocation of time. Journal of Political Economy, 98(5), 922–943.

    Article  Google Scholar 

  • Bierens, H. J. (1997a). Cointegration analysis. In C. Heij, J. M. Schumacher, B. Hanzon, & C. Praagman (Eds.), System dynamics in economic and financial models (pp. 217–246). New York: Wiley.

    Google Scholar 

  • Bierens, H. J. (1997b). Nonparametric cointegration analysis. Journal of Econometrics, 77, 379–404.

    Article  Google Scholar 

  • Borodulin, K., Laatikainen, T., Lahti-Koski, M., Jousilahti, P., & Lakka, T. A. (2008). Association of age and education with different types of leisure-time physical activity among 4437 finnish adults. Journal of Physical Activity & Health, 5(2), 242–251.

    Google Scholar 

  • Bourdieu, P. (1986). The forms of capital. In: J. G. Richardson (Ed.), Handbook of theory and research for the sociology of education. New York: Grenword Press.

  • Buchanan, J. (1994). The return to increasing returns. In J. Buchanan & Y. Yoon (Eds.), The return to increasing returns. Ann Arbor: The University of Michigan Press.

    Google Scholar 

  • Chase, E. S. (1967). Leisure and Consumption. In K. Shell (Ed.), Essays on the theory of optimal economic growth. Cambridge: MIT Press.

    Google Scholar 

  • Chen, M., & Chevalier, J. A. (2008). The taste for leisure, career choice, and the returns to education. Economics Letters, 99(2), 353–356. doi:10.1016/j.econlet.2007.08.005.

    Article  Google Scholar 

  • Cracolici, M. F., Cuffaro, M., & Nijkamp, P. (2010). The measurement of economic, social and environmental performance of countries: A novel approach. Social Indicators Research, 95(2), 339–356.

    Article  Google Scholar 

  • Csikszentmihalyi, M. (1981). Leisure and socialization. Social Forces, 60, 332–340.

    Article  Google Scholar 

  • Csikszentmihalyi, M. (1997). Finding flow: The psychology of engagement with everyday life. New York: Basic Books.

    Google Scholar 

  • Culkin, D. F. (1989). A look at Japanese work and leisure. Parks & Recreation, 24(4), 33–37.

    Google Scholar 

  • Defrance, J., & Pociello, C. (1993). Structure and evolution of the field of sports in France (1960–1990). International Review for the Sociology of Sport, 28, 1–23.

    Article  Google Scholar 

  • Dong, E., & Chick, G. (2012). Leisure constraints in six Chinese cities. Leisure Sciences, 34(5), 417–435.

  • Downey, R. G., & King, C. V. (1998). Missing data in Likert ratings: A comparison of replacement methods. The Journal of General Psychology, 125, 175–191.

    Article  Google Scholar 

  • Drive, B. L., Brown, P. J., & Peterson, G. L. (1991). Benefits of leisure. State College, PA: Venture Publishing.

    Google Scholar 

  • Duernecker, G. (2008). To begrudge or not to begrudge: Consumption and leisure externalities revisited. Applied Economics Letters, 15(4), 245–252. doi:10.1080/13504850600592481.

    Article  Google Scholar 

  • Durbin, J., & Watson, G. S. (1971). Testing for serial correlation in least squares regression. III. Biometrika, 58(1), 1–19.

    Google Scholar 

  • Eichenbaum, S. M, Hansen, L. P., & Richard, S. F. (1985). The dynamic equilibrium pricing of durable consumption goods. Manuscript, Carnegie-Mellon University.

  • Fair, R. C. (1970). The estimation of simultaneous equation models with lagged endogenous variables and first order. Econometrica, 38(3), 507–532.

    Article  Google Scholar 

  • Fogel, R. W. (2000). The fourth great awaken and the future of egalitarianism. Chicago: University of Chicago Press.

    Google Scholar 

  • Foong, A. (1992). Physical exercise/sports and biopsychosocial well-being. Journal of the Royal Society of Health, 112, 227–230.

    Article  Google Scholar 

  • Fujita, M. (1989). Urban economic theory: Land use and city size. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Gali, J. (1999). Technology, employment and the business cycle: Do technology Shocks explain aggregate fluctuation? American Economic Review, 89(1), 249–271.

    Article  Google Scholar 

  • Galit, N. (2007). Retirees’ leisure: Activities, benefits, and their contribution to life satisfaction. Leisure Studies, 26(1), 65–80.

    Article  Google Scholar 

  • Georg, D. (2008). To begrudge or not to begrudge: Consumption and leisure externalities revisited. Applied Economics Letters, 15(4), 245–252.

    Article  Google Scholar 

  • Gómez, M. A. (2009). Equilibrium efficiency in the Ramsey model with utility and production externalities. Journal of Economic Studies, 36(4), 355–370.

    Article  Google Scholar 

  • Gronau, R. (1977). Leiaure, home production and work—The theory of the allocation of time revisited. Journal of Political Economy, 85(6), 1099–1123.

  • Harada, M. M. (1994). Towards a renaissance of leisure in Japan. Leisure Studies, 4, 277–287.

    Article  Google Scholar 

  • Harris, D. (2012). Work and leisure in higher education. British Journal of Sociology of Education, 33(1), 115–132. doi:10.1080/01425692.2012.632869.

    Article  Google Scholar 

  • Hendee, J. C. (1971). The pacific sociological review. Sociology and Applied Leisure Research, 14(3), 360–368.

    Google Scholar 

  • Hills, P., & Argyle, M. (1998). Positive moods derived from leisure and their relationship to happiness and personality. Personality and Individual Differences, 25, 523–535.

    Article  Google Scholar 

  • Ioannides, Y. M., & Taub, B. (1992). On dynamics with time-to-build investment technology and non-time-separable leisure. Journal of Economic Dynamics and Control, 16, 225–241.

    Article  Google Scholar 

  • Jackson, E. L. & Walker, G. J. (2006). A cross-cultural comparison of leisure styles and constraints experienced by Chinese and Canadian University Students. In 9th world leisure congress abstracts: Oral and poster presentations (p. 28). Hangzhou, China: World Leisure.

  • Jones, C. I. (1995). R & D based models of economic growth. Journal of Political Economy, 103, 759–784.

    Article  Google Scholar 

  • Kačerauskas, T. (2012). Creative economy and technologies: Social, legal and communicative issues. Journal of Business Economics & Management, 13(1), 71–80. doi:10.3846/16111699.2011.620151.

    Article  Google Scholar 

  • Kenc, T. (2004). Taxation, risk-taking and growth: A continuous-time stochastic general equilibrium analysis with labor-leisure choice. Journal of Economic Dynamics and Control, 28, 1511–1539.

    Article  Google Scholar 

  • Kokoski, M. F. (1987). Indices of household welfare and the value of leisure time. The Review of Economics and Statistics, 69(1), 83–89.

    Article  Google Scholar 

  • Kydland, F. E. (1995). Business cycle and aggregate labor market fluctuation. In T. F. Cooley (Ed.), Frontier of business cycle research. Princeton: Princeton University Press.

    Google Scholar 

  • Kydland, F. E., & Prescott, E. C. (1982). Time to build and aggregate fluctuations. Econometrica, L, 1345–1370.

    Article  Google Scholar 

  • Ladrón-de-Guevara, A., Ortigueira, S., & Santos, M. S. (1999). A two-sector model of endogenous growth with leisure. Review of Economic Studies, 66, 609–631.

    Article  Google Scholar 

  • Lee, C. (2001). Changes in employment and hours, and family income inequality: 1969–1989. International Economic Journal, 15(2), 27–49.

    Article  Google Scholar 

  • Li, M. Z. (2009). Leisure and tourism in the changing China. World Leisure Journal, 51(4), 229–236. doi:10.1080/04419057.2009.9674602.

    Article  Google Scholar 

  • Lloyd, K. M., & Auld, K. J. (2002). The role of leisure in determining quality of life: Issues of content and measurement. Social Indicators Research, 57, 43–71.

    Article  Google Scholar 

  • Lu, L., & Argyle, M. (1994). Leisure satisfaction and happiness as a function of leisure activity. The Kaohsiung Journal of Medical Sciences, 10(2), 89–96.

    Google Scholar 

  • Lu, L., & Hu, C. H. (2005). Personality, leisure experience and happiness. Journal of Happiness Studies, 6, 325–342.

    Article  Google Scholar 

  • Lucas, R. E. (1988). On the mechanism of economic development. Journal of Monetary Economics, 22, 3–42.

    Article  Google Scholar 

  • Lucas, R. E., & Rapping, L. A. (1969). Real wages, employment and inflation. Journal of Political Economics, LXXVII, 721–754.

    Article  Google Scholar 

  • Lyng, S. (1990). Edgework: A social psychological analysis of voluntary risk-taking. American Journal of Sociology, 95(4), 851–886.

    Article  Google Scholar 

  • Maguire, J. S. (2008). Leisure and obligation of self-work: An examination of the fitness field. Leisure Studies, 27(1), 59–75.

    Article  Google Scholar 

  • Mankiw, N. G., Romer, D., & Weil, D. N. (1992). A contribution to the empirics of economic growth. Quarterly Journal of Economics, 107(2), 407–437.

    Article  Google Scholar 

  • Mankiw, N. G., Rotenberg, J., & Summers, L. H. (1985). Intertemporal institution in macroeconomics. Quarterly Journal of Economics, 200(C), 225–252.

  • Meinen, G., Verbiest, P., & Wolf, P. (1998). Perpetual inventory method: Service lives, discard patterns and depreciation methods. Retrieved from http://www.oecd.org/std/na/2552337.pdf

  • Ministry of Human Resources and Social Security of China. (2014). China labor statistical yearbooks. Retrieved from http://www.mohrss.gov.cn/SYrlzyhshbzb/zwgk/szrs/

  • Monte, R. N. (2008). Leisure participation and satisfaction for healthy lifestyles. Asia Life Science, Suppl. 2, 29–39.

    Google Scholar 

  • Mullahy, J., & Robert, S. A. (2010). No time to lose: Time constraints and physical activity in the production of health. Review of Economics of the Household, 8(4), 409–432. doi:10.1007/s11150-010-9091-4.

    Article  Google Scholar 

  • National Bureau of Statistics of China. (2014). China statistical yearbooks. Retrieved from http://www.stats.gov.cn/english/Statisticaldata/AnnualData/

  • Neanidis, K. C. (2012). Humanitarian aid. Fertility and Economic Growth, Economica, 79(313), 27–61. doi:10.1016/j.jclepro.2011.12.006.

    Google Scholar 

  • Newey, W., & West, K. (1987). A simple positive semi-definite. Heteroskedasticity and Autocorrelation Consistent Covariance Matrix, Econometrica, 51, 25–43.

    Google Scholar 

  • Nordhaus, W., & Tobin, J., (1972). Is growth obsolete? Economic growth. New York: National Bureau of Economic Research.

  • O’Boyle, E. J. (2011). Meeting human need through consumption, work, and leisure. International Journal of Social Economics, 38(3), 260–272. doi:10.1108/03068291111105192.

    Article  Google Scholar 

  • OECD. (2014). Average annual hours actually worked. Retrieved from http://stats.oecd.org/BrandedView.aspx?oecd_bv_id=lfs-data-en&doi=data-00303-en

  • Ortigueira, S. (2000). A dynamic analysis of an endogenous growth. Economic Theory, 16, 43–62.

    Article  Google Scholar 

  • Palmer, A. D. (2008). Workplace flexibility leads to healthier employees. Incentives Pub., February 8.

  • Phillips, P. C. (2004). Laws and limits of econometrics. The Economic Journal, 113(March), C26–C52.

    Google Scholar 

  • Pichot, L., & Pierre, J. (2009). Management practices in companies through Sport. Management Decision, 47(1), 137–150.

    Article  Google Scholar 

  • Piergiovanni, R., Carree, M., & Santarelli, E. (2009). Creative industries, new business formation and regional economic growth. Jena Economic Research Papers, No. 2009-020. Retrieved from https://www.econstor.eu/dspace/bitstream/10419/31782/1/597775176.pdf.

  • Pintea, M. I. (2010). Leisure externalities: Implications for growth and Welfare. Journal of Macroeconomics, 32, 1025–1040.

    Article  Google Scholar 

  • Podor, M., & Halliday, T. J. (2012). Health status and the allocation of time. Health Economics, 21(5), 514–527. doi:10.1002/hec.1527.

    Article  Google Scholar 

  • Putnam, R. D. (1995). Bowling alone: America’s declining social capital. Journal of Democracy, 6(1), 64–78.

    Article  Google Scholar 

  • Ragheb, M. G. (1993). Leisure and perceived wellness: A field investigation. Leisure Sciences, 15(1), 13–24.

    Article  Google Scholar 

  • Ramsay, A. V., & Francis, N. (2009). A century of work and leisure. American Economic Journal: Macroeconomics, 1(2), 189–224.

    Google Scholar 

  • Ramsey, J. B. (1969). Tests for specification errors in classical linear least squares regression analysis. Journal of Royal Statistics Society, B31(2), 350–371.

    Google Scholar 

  • Rau, R., & Triemer, A. (2004). Overtime in relation to blood pressure and mood during work, leisure and night time. Social Indicators Research, 67(1/2), 51–73.

    Article  Google Scholar 

  • Roberts, D. (2013). Long work hours and trouble sleeping are hurting China’s workers. Bloomberg Business Week, Retrieved from http://www.Businessweek.com/articles/2013-04-05/long-work-hours-and-trouble-are-sleeping-hurting-chinas-workers

  • Robinson, J., & Godbey, G. (1997). Time for life: The surprising ways Americans use their time. University Park: Pennsylvania State University Press.

    Google Scholar 

  • Romer, P. M. (1986). Increasing returns and long run growth. Journal of Political Economy, 94(5), 1002–1037.

    Article  Google Scholar 

  • Rubinstein, M. (1974). An aggregation theorem for securities market. Journal of Financial Economies, I, 225–244.

    Article  Google Scholar 

  • Ruiz-Contreras, A. E., Soria-Rodríguez, G., Almeida-Rosas, G. A., García-Vaca, P. A., Delgado-Herrera, M., Méndez-Díaz, M., & Prospéro-García, O. (2012). Low diversity and low frequency of participation in leisure activities compromise working memory efficiency in young adults. Acta Psychologica, 139(1), 91–96. doi:10.1016/j.actpsy.2011.10.011.

    Article  Google Scholar 

  • Ryder, H. E., Stafford, F. P., & Stephan, P. E. (1976). Labor, leisure and training over the life cycle. International Economic Review, 17, 651–674.

    Article  Google Scholar 

  • Sankey, D. (2008). Flexibility a boon to employees: Canadian firms make big gains on diversity front. Calgary Herald, April 5, H1/FRONT.

  • Schultz, T. W. (1961). Investment in human capital. The American Economic Review, 51(1), 1–17.

  • Schutte, H., & Ciarlante, D. (1998). Consumer behaviour in Asia. Great Britain: Macmillan.

  • Sevilla, S. A., Gimenez, J. I., Gersuny, J. I. (2012). Leisure inequality in the US: 1985–2003. Demography, 493(3), 939–964. doi:10.1007/s13524-012-0100-5.

  • Shaw, L. H., & Gant, L. M. (2002). Users divided? Exploring the gender gap in internet use. CyberPsychology & Behavior, 5(6), 517–527.

    Article  Google Scholar 

  • Shilling, C. (2004). Physical capital and situated action: A new direction for corporeal sociology. British Journal of Sociology of Education, 25(4), 473–487.

    Article  Google Scholar 

  • Solow, R. M. (1957). Technical change and the aggregate production function. Review of Economics and Statistic, 39, 312–320.

    Article  Google Scholar 

  • Stebbins, R. (2000). The extraprofessional life: Leisure. Retirement and unemployment. Current Sociology, 48(1), 1–18.

    Article  Google Scholar 

  • Suri, T., Boozer, M. A., Ranis, G., & Stewart, F. (2011). Paths to success: The relationship between human development and economic growth. World Development, 39(4), 506–522.

    Article  Google Scholar 

  • The World Bank. (2012). World bank open data by countries. Retrieved from http://data.worldbank.org/country

  • The World Bank. (2014a). Countries and economies. Retrieved from http://data.worldbank.org/country

  • The World Bank. (2014b). Indicators. Retrieved from http://data.worldbank.org/indicator

  • The World Bank. (2014c). Life expectancy at birth, total (years). Retrieved from http://data.worldbank.org/indicator/SP.DYN.LE00.IN/countries

  • The World Bank. (2014d). World development indicators. Retrieved from http://data.worldbank.org/data-catalog/world-development-indicators

  • UNESCO. (2014). Data centre/education. Retrieved from http://stats.uis.unesco.org/unesco/ReportFolders/ReportFolders.aspx

  • Varvarigos, D. (2011). Non-monotonic welfare dynamics in a growing economy. Journal of Macroeconomics, 33(2), 303–312.

    Article  Google Scholar 

  • Walker, G. J. (2009). Culture, self-construal, and leisure motivations. Leisure Sciences, 31(4), 347–363. doi:10.1080/01490400902988291.

    Article  Google Scholar 

  • Walsh, E. R. (1982). Work, leisure and the pursuit of happiness. Leisure Information Newsletter Summer, 9(1), 10–11.

    Google Scholar 

  • Weder, M. (2004). A note on conspicuous leisure, animal spirits and endogenous cycles. Portuguese Economic Journal, 3(1), 1–13.

    Article  Google Scholar 

  • Wei, X., Qu, H., & Ma, E. (2010). A study of the effects of leisure time on China’s economic growth: A neoclassic growth model. Tourism Analysis, 15, 663–672.

    Article  Google Scholar 

  • Yin, X. (2005). New trends of leisure consumption in China. Journal of Family and Economic Issues, 26, 175–182.

    Article  Google Scholar 

  • Yu, P., & Berryman, D. L. (1996). The relationship among self-esteem, acculturation, and recreation participation of recently Arrived Chinese immigrant adolescents. Journal of Leisure Research, 28, 251–273.

    Google Scholar 

  • Zhang, L., & Thomas, S. (2003). Beyond the money: The effects of college major, institutional prestige, and academic performance on job satisfaction. In Paper presented at 2002 Annual Meeting of the Association for the Study of Higher Education. Sacramento, CA, November 2003.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Emily Ma.

Appendix: Raw data

Appendix: Raw data

See Tables 4, 5, 6, 7, and 8.

Table 4 GDP per capita per hour for China, US and Japan (1980–2011)
Table 5 Leisure time (hours) per year/person for China, US and Japan (1980–2011)
Table 6 Education time per year/person for China, US and Japan (1980–2011)
Table 7 Fixed capital formation per capita for China, US and Japan
Table 8 Annotations for equations

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wei, X., Qu, H. & Ma, E. How Does Leisure Time Affect Production Efficiency? Evidence from China, Japan, and the US. Soc Indic Res 127, 101–122 (2016). https://doi.org/10.1007/s11205-015-0962-1

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11205-015-0962-1

Keywords

Navigation