Children’s health has always been a concern, under the background of a new
wave of entrepreneurship, this paper uses China health and nutrition survey
(CHNS) data, selects the age of the child height ratio (HAZ) score to measure
children’s health, the OLS regression model, the treatment effect model and
tendency to score matching (PSM), and other methods to investigate the influence
of parents entrepreneurship for children’s health. The study found
that at least one parent business, under the condition of children’s health is
relatively low, the result is in step with the result of whether parents start a
business. In addition, there are gender differences in children’s health; only
children are in better health. The health endowment of parents also has an
impact on children’s health. This article from the perspective of parents entrepreneurship
researches entrepreneurship influence on children’s health,
there are two main mechanisms, the first is money: it brings the income that is
beneficial to children’s health; this article examines the entrepreneurship that
can bring income premium; estimation results show that the venture has a
significant positive effect on monthly income. The second is time: entrepreneurship
to reduce the harm to children’s health care time; estimation results
show that the entrepreneurial significantly reduces the time for children’s
care; two mechanisms are negative; there is a relation of offsetting each other;
parents start-ups do significantly reduce the children’s health level.
References
[1]
Anderson, P.M. and Levine, P. (1999) Child Care and Mothers’ Employment Decisions. Northwestern University/University of Chicago Joint Center for Poverty Research.
[2]
Blau, D.M., Guilkey, D.K. and Popkin, B.M. (2010) Infant Health and the Labor Supply of Mothers. Journal of Human Resources, 31, 90-139.
https://doi.org/10.2307/146044
[3]
Case, A., et al. (2005) The Lasting Impact of Childhood Health and Circumstance. Journal of Health Economics, 24, 365-389.
[4]
Case, A., Lubotsky, D. and Paxson, C. (2002) Economic Status and Health in Childhood: The Origins of The Gradient. American Economic Review, 92, 1308-1334.
https://doi.org/10.1257/000282802762024520
[5]
Chen, Y. and Li, H. (2009) Mother’s Education and Child Health: Is There a Nurturing Effect? Journal of Health Economics, 28, 413-426.
https://doi.org/10.1016/j.jhealeco.2008.10.005
[6]
Desai, S., Chase-Lansdale, P.L. and Michael, R. (1989) Mother or Market? Effects of Employment on the Intellectual Ability of 4-Year-Old Children. Demography, 26, 545-561. https://doi.org/10.2307/2061257
[7]
James-Burdumy, S. (2005) The Effect of Labor Force Participation on Child Development. Journal of Labor Economics, 23, 177-211.
[8]
Picton, L.J. (1944) Health and Nutrition. British Medical Journal, 1, 568-569.
https://doi.org/10.1136/bmj.1.4346.568-b
[9]
Mou, S. and Zhou, Z. (2017) Research on the Performance of Health Insurance for Children in New Rural Cooperative and Urban Residents. Social Security Research, No. 4, 45-54.
[10]
Zhang, H. (2017) Folk Finance, Family Entrepreneurship and Resident Income. Shandong University, Jinan.
[11]
Li, Z. and Yang, S. (2017) Can Entrepreneurship Narrow the Income Distribution Gap?—Analysis of Provincial-Level Panel Data. Comparison of Economic and Social Systems, No. 3, 21-32.
[12]
Ning, G. (2016) A Piece of Music. The Entrepreneurial Selection and Income of Floating Population—The Role of Household Registration and Reform Enlightenment. Economics (Quarterly), 16, 771-792.
[13]
Ma, Z. and Zhao, Z. (2016) Analysis on the Evolution and Influence Factors of Chinese Children’s Health Inequality. Labor Economic Research, 4, 22-41.
[14]
Feng, H. (2016) Micro-Credit, Rural Entrepreneurship and Income Growth—An Empirical Study Based on the Mediation Effect. Audit and Economic Research, 31, 111-119.
[15]
Peng, K. and Liu, X. (2016) Farmers’ Income, Formal Credit Availability and Non-Agricultural Entrepreneurship. Management World, No. 7, 88-97.
[16]
Feng, J. (2016) Cutting-Edge Theory of Processing Effect Model and Its Application. University of International Business and Economics, Beijing.
[17]
Sun, W. and Wang, Y. (2016) The Influence of Parents’ Migrant Work on the Health of Left-Behind Children—A Review of Micropanel Data. Economics (Quarterly), 15, 963-988.
[18]
Chen, G. (2015) Regulation and Entrepreneurship—Micro Evidence from China. Management World, No. 5, 89-99.
[19]
Zhang, B., Hu, J. and Fan, C.C. (2015) Social Network, Information Acquisition and Family Business Income—An Empirical Study Based on the Perspective of Urban and Rural Differences in China. Economic Review, No. 2, 52-67.
[20]
Li, Z. and Su, Q. (2014) The Health of Migrant Workers and Left-Behind Children—Evidence from Rural China. Population and Economy, No. 3, 51-58.
[21]
Zhang, L. and Zhang, H. (2013) Financial Constraints and Family Entrepreneurship—China’s Urban-Rural Differences. Financial Research, No. 9, 123-135.
[22]
Zhang, L., Yang, J. and Zhang, H. (2013) Financial Development, Family Entrepreneurship and Income of Urban and Rural Residents—Empirical Analysis Based on Micro Perspective. China Rural Economy, No. 7, 47-57.
[23]
Gu, J. and Liu, Y. (2012) Maternal Labor Supply Behavior and Health of Rural Children in China. Population and Economy, No. 3, 8-12.
[24]
Wang, F. and Zhou, X. (2012) Analysis of the Influence of Family Factors on the Health of Chinese Children. Population Research, 36, 50-59.
[25]
Liu, J. and Dong, X. (2011) Mother’s Labor Supply, Child Care and Child Health: Evidence from Rural China. World Economic Literature, No. 4, 55-71.
[26]
Lu, J.J. and Zang, X. (2011) Research on the Role of Education to Children’s Health. Shandong Social Science, No. 5, 80-84.
[27]
Li, Q. and Zang, W. (2011) The Influence of Parents on the Health of Left-Behind Children. Economics (Quarterly), 10, 341-360.
[28]
Chen, B. (2009) An Empirical Study on the Impact of Risk Attitude on Entrepreneurial Behavior in Rural Areas. Management World, No. 3, 84-91.
[29]
Liu, J. (2008) Non-Farm Employment, Maternal Care and Child Health—Evidence from Rural China. Economic Research, No. 43, 136-149.