IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i8p810-d75754.html
   My bibliography  Save this article

Fuel for Life: Domestic Cooking Fuels and Women’s Health in Rural China

Author

Listed:
  • Peng Nie

    (Institute for Health Care & Public Management, University of Hohenheim, Stuttgart 70599, Germany)

  • Alfonso Sousa-Poza

    (Institute for Health Care & Public Management, University of Hohenheim, Stuttgart 70599, Germany)

  • Jianhong Xue

    (Department of Agricultural Economics, College of Economics and Management, Northwest A&F University, 3 Taicheng Road, Yangling 712100, Shaanxi, China)

Abstract

Background : There is evidence that household air pollution is associated with poor health in China, and that this form of air pollution may even be more of a health concern in China than the much-publicized outdoor air pollution. However, there is little empirical evidence on the relationship between household air pollution and health in China based on nationally representative and longitudinal data. This study examines the association between the type of domestic cooking fuel and the health of women aged ≥16 in rural China. Methods : Using longitudinal and biomarker data from the China Family Panel Studies ( n = 12,901) and the China Health and Nutrition Survey ( n = 15,539), we investigate the impact of three major domestic cooking fuels (wood/straw, coal, liquefied petroleum gas (LPG)) on health status using both cross-sectional and panel approaches. Results : Compared to women whose households cook with dirty fuels like wood/straw, women whose households cook with cleaner fuels like LPG have a significantly lower probability of chronic or acute diseases and are more likely to report better health. Cooking with domestic coal instead of wood or straw is also associated with elevated levels of having certain risks (such as systolic blood pressure) related to cardiovascular diseases. Conclusions : Our study provides evidence that using cleaner fuels like LPG is associated with better health among women in rural China, suggesting that the shift from dirty fuels to cleaner choices may be associated with improved health outcomes.

Suggested Citation

  • Peng Nie & Alfonso Sousa-Poza & Jianhong Xue, 2016. "Fuel for Life: Domestic Cooking Fuels and Women’s Health in Rural China," IJERPH, MDPI, vol. 13(8), pages 1-22, August.
  • Handle: RePEc:gam:jijerp:v:13:y:2016:i:8:p:810-:d:75754
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/8/810/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/13/8/810/
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Arthur Lewbel & Yingying Dong & Thomas Tao Yang, 2012. "Comparing features of convenient estimators for binary choice models with endogenous regressors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(3), pages 809-829, August.
    2. Christopher Baum & Yingying Dong & Arthur Lewbel & Tao Yang, 2012. "Binary choice models with endogenous regressors," SAN12 Stata Conference 9, Stata Users Group.
    3. Duan, Xiaoli & Jiang, Yong & Wang, Beibei & Zhao, Xiuge & Shen, Guofeng & Cao, Suzhen & Huang, Nan & Qian, Yan & Chen, Yiting & Wang, Limin, 2014. "Household fuel use for cooking and heating in China: Results from the first Chinese Environmental Exposure-Related Human Activity Patterns Survey (CEERHAPS)," Applied Energy, Elsevier, vol. 136(C), pages 692-703.
    4. Alsakka, Rasha & ap Gwilym, Owain, 2010. "A random effects ordered probit model for rating migrations," Finance Research Letters, Elsevier, vol. 7(3), pages 140-147, September.
    5. Verbeek, Marno & Nijman, Theo, 1992. "Testing for Selectivity Bias in Panel Data Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 681-703, August.
    6. Nijman, T.E. & Verbeek, M.J.C.M., 1992. "Testing for selectivity in panel data models," Other publications TiSEM 7ec34a6c-1d84-4052-971c-d, Tilburg University, School of Economics and Management.
    7. Xie, Shiqing & Mo, Taiping, 2014. "The impact of education on health in China," China Economic Review, Elsevier, vol. 29(C), pages 1-18.
    8. Lei, Xiaoyan & Yin, Nina & Zhao, Yaohui, 2012. "Socioeconomic status and chronic diseases: The case of hypertension in China," China Economic Review, Elsevier, vol. 23(1), pages 105-121.
    9. Arthur Lewbel & Yingying Dong & Thomas Tao Yang, 2012. "Viewpoint: Comparing features of convenient estimators for binary choice models with endogenous regressors," Canadian Journal of Economics, Canadian Economics Association, vol. 45(3), pages 809-829, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Weidong Sun & Zhigang Chen & Danyang Wang, 2019. "Can Land Marketization Help Reduce Industrial Pollution?," IJERPH, MDPI, vol. 16(12), pages 1-16, June.
    2. Ao, Chon-Kit & Dong, Yilin & Kuo, Pei-Fen, 2021. "Industrialization, indoor and ambient air quality, and elderly mental health," China Economic Review, Elsevier, vol. 69(C).
    3. Nigel Scott & Jerome Nsengiyaremye & Jacob Fodio Todd & Jon Leary, 2023. "Cooking Fuel Choice and Wellbeing: A Global Perspective," Energies, MDPI, vol. 16(18), pages 1-22, September.
    4. Pan, Tianxin & Palmer, Michael, 2018. "Risk factors and non-communicable disease diagnosis in China," China Economic Review, Elsevier, vol. 50(C), pages 72-84.
    5. Jiafeng Gu & Xing Ming, 2021. "The Influence of Living Conditions on Self-Rated Health: Evidence from China," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    6. Ren, Junqiushi & Xiong, Deyin, 2023. "Do social assistance programs promote the use of clean cooking fuels? Evidence from China's new rural pension scheme," Energy Policy, Elsevier, vol. 182(C).
    7. Ahmed, Mansoor & Shuai, Chuanmin & Abbas, Khizar & Rehman, Faheem Ur & Khoso, Wali Muhammad, 2022. "Investigating health impacts of household air pollution on woman's pregnancy and sterilization: Empirical evidence from Pakistan, India, and Bangladesh," Energy, Elsevier, vol. 247(C).
    8. Alessandra Cincinelli & Tania Martellini, 2017. "Indoor Air Quality and Health," IJERPH, MDPI, vol. 14(11), pages 1-5, October.
    9. Boqiang Lin & Kai Wei, 2022. "Does Use of Solid Cooking Fuels Increase Family Medical Expenses in China?," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    10. Zhiming Yang & Zhen Wang & Xiao-Chen Yuan & Yu Qi & Yunquan Zhang & Weiqing Wang & Fanglin He & Jing Li, 2022. "Does income inequality aggravate the impacts of air pollution on physical health? Evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2120-2144, February.
    11. Zhang, Lingyue & Li, Hui & Chen, Tianqi & Liao, Hua, 2022. "Health effects of cooking fuel transition: A dynamic perspective," Energy, Elsevier, vol. 251(C).
    12. Huawei Mou & Huan Li & Yuguang Zhou & Renjie Dong, 2021. "Response of Different Band Combinations in Gaofen-6 WFV for Estimating of Regional Maize Straw Resources Based on Random Forest Classification," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    13. Hou, Bingdong & Wu, Jingwen & Mi, Zhifu & Ma, Chunbo & Shi, Xunpeng & Liao, Hua, 2022. "Cooking fuel types and the health effects: A field study in China," Energy Policy, Elsevier, vol. 167(C).

    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. Augusto Mendoza Calderón, 2017. "El Efecto del Empleo sobre la Violencia Doméstica: Evidencia para las Mujeres Peruanas," Working Papers 99, Peruvian Economic Association.
    2. Jarke-Neuert, Johannes & Perino, Grischa & Schwickert, Henrike, 2021. "Free-Riding for Future: Field Experimental Evidence of Strategic Substitutability in Climate Protest," SocArXiv sh6dm, Center for Open Science.
    3. Joseph J. French & Juxin Yan & Yukihiro Yasuda, 2019. "Relationships Matter: the Impact of Bank-Firm Relationships on Mergers and Acquisitions in Japan," Journal of Financial Services Research, Springer;Western Finance Association, vol. 56(3), pages 259-305, December.
    4. Yingying Dong & Arthur Lewbel, 2015. "A Simple Estimator for Binary Choice Models with Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 82-105, February.
    5. Manuel Denzer, 2019. "Estimating Causal Effects in Binary Response Models with Binary Endogenous Explanatory Variables - A Comparison of Possible Estimators," Working Papers 1916, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    6. Sucharita Ghosh & Emanuele Grassi, 2020. "Overeducation and overskilling in the early careers of PhD graduates: Does international migration reduce labour market mismatch?," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 915-944, August.
    7. Boerner, Lars & Rubin, Jared & Severgnini, Battista, 2021. "A time to print, a time to reform," European Economic Review, Elsevier, vol. 138(C).
    8. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    9. Lewbel, Arthur, 2018. "Identification and estimation using heteroscedasticity without instruments: The binary endogenous regressor case," Economics Letters, Elsevier, vol. 165(C), pages 10-12.
    10. Grainger, Daniel & Watkin-Lui, Felecia & Cheer, Karen, 2021. "The value of informed agency for Torres Strait climate change," Ecological Economics, Elsevier, vol. 180(C).
    11. Alla Koblyakova & Larisa Fleishman & Orly Furman, 2022. "Accuracy of Households’ Dwelling Valuations, Housing Demand and Mortgage Decisions: Israeli Case," The Journal of Real Estate Finance and Economics, Springer, vol. 65(1), pages 48-74, July.
    12. Mylonidis, Nikolaos & Chletsos, Michael & Barbagianni, Vanessa, 2019. "Financial exclusion in the USA: Looking beyond demographics," Journal of Financial Stability, Elsevier, vol. 40(C), pages 144-158.
    13. Daniela Bragoli & Flavia Cortelezzi & Massimiliano Rigon, 2023. "Firms' innovation and university cooperation. New evidence from a survey of Italian firms," Temi di discussione (Economic working papers) 1400, Bank of Italy, Economic Research and International Relations Area.
    14. Donna L. Feir, 2016. "The long‐term effects of forcible assimilation policy: The case of Indian boarding schools," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(2), pages 433-480, May.
    15. Xiaoping He & David Reiner, 2018. "Consumer Engagement in Energy Markets: The Role of Information and Knowledge," Working Papers EPRG 1835, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    16. Alexander Ahammer & G. Thomas Horvath & Rudolf Winter-Ebmer, 2017. "The effect of income on mortality—new evidence for the absence of a causal link," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(3), pages 793-816, June.
    17. Peter Egger & Anirudh Shingal, 2021. "Determinants of services trade agreement membership," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(1), pages 21-64, February.
    18. David Mmopelwa & Oliver Morrissey & Trudy Owens, 2021. "HIV/AIDS and sexual behaviour in Botswana," Discussion Papers 2021-03, University of Nottingham, CREDIT.
    19. Ruyssen, Ilse & Salomone, Sara, 2018. "Female migration: A way out of discrimination?," Journal of Development Economics, Elsevier, vol. 130(C), pages 224-241.
    20. Lewbel, Arthur & Yang, Thomas Tao, 2016. "Identifying the average treatment effect in ordered treatment models without unconfoundedness," Journal of Econometrics, Elsevier, vol. 195(1), pages 1-22.

    More about this item

    Keywords

    household cooking fuels; health; women; rural China;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • D10 - Microeconomics - - Household Behavior - - - General
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    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:gam:jijerp:v:13:y:2016:i:8:p:810-:d:75754. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.