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Can El Niño–Southern Oscillation Increase Respiratory Infectious Diseases in China? An Empirical Study of 31 Provinces

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Listed:
  • Qingyun Tang

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Ke Gong

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Li Xiong

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Yuanxiang Dong

    (School of Economics and Management, Taiyuan University of Technology, Taiyuan 030006, China)

  • Wei Xu

    (School of Business, Jiangnan University, Wuxi 214122, China)

Abstract

Respiratory infectious diseases (RID) are the major form of infectious diseases in China, and are highly susceptible to climatic conditions. Current research mainly focuses on the impact of weather on RID, but there is a lack of research on the effect of El Niño–Southern Oscillation (ENSO) on RID. Therefore, this paper uses the system generalized method of moments (SYS-GMM) and the data of 31 provinces in China from 2007 to 2018 to construct a dynamic panel model to empirically test the causality between ENSO and RID morbidity. Moreover, this paper considers the moderating effects of per capita disposable income and average years of education on this causality. The results show that ENSO can positively and significantly impact RID morbidity, which is 5.842% higher during El Niño years than normal years. In addition, per capita disposable income and average years of education can effectively weaken the relationship between ENSO and RID morbidity. Thus, this paper is of great significance for improving the RID early climate warning system in China and effectively controlling the spread of RID.

Suggested Citation

  • Qingyun Tang & Ke Gong & Li Xiong & Yuanxiang Dong & Wei Xu, 2022. "Can El Niño–Southern Oscillation Increase Respiratory Infectious Diseases in China? An Empirical Study of 31 Provinces," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2971-:d:763514
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    References listed on IDEAS

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    1. Helmut Lütkepohl & Fang Xu, 2012. "The role of the log transformation in forecasting economic variables," Empirical Economics, Springer, vol. 42(3), pages 619-638, June.
    2. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    3. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    4. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. Ying Mao & Rongxin He & Bin Zhu & Jinlin Liu & Ning Zhang, 2020. "Notifiable Respiratory Infectious Diseases in China: A Spatial–Temporal Epidemiology Analysis," IJERPH, MDPI, vol. 17(7), pages 1-15, March.
    7. Breton, Theodore R., 2011. "The quality vs. the quantity of schooling: What drives economic growth?," Economics of Education Review, Elsevier, vol. 30(4), pages 765-773, August.
    8. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    9. Tien Ming Lee & Ezra M. Markowitz & Peter D. Howe & Chia-Ying Ko & Anthony A. Leiserowitz, 2015. "Predictors of public climate change awareness and risk perception around the world," Nature Climate Change, Nature, vol. 5(11), pages 1014-1020, November.
    10. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Michael Xiaoliang Tong & Alana Hansen & Scott Hanson-Easey & Scott Cameron & Jianjun Xiang & Qiyong Liu & Yehuan Sun & Philip Weinstein & Gil-Soo Han & Craig Williams & Peng Bi, 2015. "Infectious Diseases, Urbanization and Climate Change: Challenges in Future China," IJERPH, MDPI, vol. 12(9), pages 1-12, September.
    12. Holtz-Eakin, Douglas, 1988. "Testing for individual effects in autoregressive models," Journal of Econometrics, Elsevier, vol. 39(3), pages 297-307, November.
    13. Dewen Wang, 2006. "China's Urban and Rural Old Age Security System: Challenges and Options," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 14(1), pages 102-116, February.
    14. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    15. Jie Liu & Ziqiang Han & Justin Veuthey & Ben Ma, 2020. "How investment in public health has impacted the prevalence of tuberculosis in China: A study of provincial variations between 2005 and 2015," International Journal of Health Planning and Management, Wiley Blackwell, vol. 35(6), pages 1546-1558, November.
    16. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    17. Michela Sonego & Maria Chiara Pellegrin & Genevieve Becker & Marzia Lazzerini, 2015. "Risk Factors for Mortality from Acute Lower Respiratory Infections (ALRI) in Children under Five Years of Age in Low and Middle-Income Countries: A Systematic Review and Meta-Analysis of Observational," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-17, January.
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