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Factors of Energy Poverty: Evidence from Tibet, China

Author

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  • Dungang Zang

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Fanghua Li

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Abbas Ali Chandio

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

Abstract

Energy poverty due to rising energy demand is a matter of global concern. Therefore, examination of the causes of energy poverty and development of effective solutions are urgent concerns. Using survey data on livelihood development in Tibetan farming and pastoral areas in 2019, this study applied logistic and ordinary least squares models to empirically investigate the factors that influence energy poverty in Tibet. We found that energy poverty is (1) unrelated to age, gender, education, marital status, political and village cadre experience, planting, or expenditures related to religious activities; (2) negatively correlated with migrant work, village status, household income, and traffic conditions; (3) positively correlated with employment, area, and breeding; and (4) both positively and negatively affected by family residence altitude. The results offer new insights and empirical evidence for the identification and elimination of energy poverty, improving livelihoods, and promoting rural revitalisation in Tibet.

Suggested Citation

  • Dungang Zang & Fanghua Li & Abbas Ali Chandio, 2021. "Factors of Energy Poverty: Evidence from Tibet, China," Sustainability, MDPI, vol. 13(17), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9738-:d:625442
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    References listed on IDEAS

    as
    1. Heindl, Peter & Schuessler, Rudolf, 2015. "Dynamic properties of energy affordability measures," Energy Policy, Elsevier, vol. 86(C), pages 123-132.
    2. Shirazi, Ali Mohammad & Zomorodian, Zahra S. & Tahsildoost, Mohammad, 2019. "Techno-economic BIPV evaluation method in urban areas," Renewable Energy, Elsevier, vol. 143(C), pages 1235-1246.
    3. Mendoza, Celedonio B. & Cayonte, Dwane Darcy D. & Leabres, Michael S. & Manaligod, Lana Rose A., 2019. "Understanding multidimensional energy poverty in the Philippines," Energy Policy, Elsevier, vol. 133(C).
    4. Dominic J. Bednar & Tony G. Reames, 2020. "Recognition of and response to energy poverty in the United States," Nature Energy, Nature, vol. 5(6), pages 432-439, June.
    5. Koomson, Isaac & Danquah, Michael, 2021. "Financial inclusion and energy poverty: Empirical evidence from Ghana," Energy Economics, Elsevier, vol. 94(C).
    6. Sheng Zhang & Xiangtao Zhuan, 2019. "Study on Adaptive Cruise Control Strategy for Battery Electric Vehicle," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-14, December.
    7. Sharma, Sangeeta V. & Han, Phoumin & Sharma, Vinod K., 2019. "Socio-economic determinants of energy poverty amongst Indian households: A case study of Mumbai," Energy Policy, Elsevier, vol. 132(C), pages 1184-1190.
    8. Crentsil, Aba Obrumah & Asuman, Derek & Fenny, Ama Pokuaa, 2019. "Assessing the determinants and drivers of multidimensional energy poverty in Ghana," Energy Policy, Elsevier, vol. 133(C).
    9. Andadari, Roos Kities & Mulder, Peter & Rietveld, Piet, 2014. "Energy poverty reduction by fuel switching. Impact evaluation of the LPG conversion program in Indonesia," Energy Policy, Elsevier, vol. 66(C), pages 436-449.
    10. Couture, Stéphane & Garcia, Serge & Reynaud, Arnaud, 2012. "Household energy choices and fuelwood consumption: An econometric approach using French data," Energy Economics, Elsevier, vol. 34(6), pages 1972-1981.
    11. Khanna, Rupali A. & Li, Yanfei & Mhaisalkar, Subodh & Kumar, Mahesh & Liang, Lim Jia, 2019. "Comprehensive energy poverty index: Measuring energy poverty and identifying micro-level solutions in South and Southeast Asia," Energy Policy, Elsevier, vol. 132(C), pages 379-391.
    12. Phosiso Sola & Caroline Ochieng & Jummai Yila & Miyuki Iiyama, 2016. "Links between energy access and food security in sub Saharan Africa: an exploratory review," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(3), pages 635-642, June.
    13. Barnes, Douglas F. & Khandker, Shahidur R. & Samad, Hussain A., 2011. "Energy poverty in rural Bangladesh," Energy Policy, Elsevier, vol. 39(2), pages 894-904, February.
    14. Reddy, V. Ratna & Uitto, Juha I. & Frans, Dirk R. & Matin, Nilufar, 2006. "Achieving global environmental benefits through local development of clean energy? The case of small hilly hydel in India," Energy Policy, Elsevier, vol. 34(18), pages 4069-4080, December.
    15. Alem, Yonas & Demeke, Eyoual, 2020. "The persistence of energy poverty: A dynamic probit analysis," Energy Economics, Elsevier, vol. 90(C).
    16. Sadath, Anver C. & Acharya, Rajesh H., 2017. "Assessing the extent and intensity of energy poverty using Multidimensional Energy Poverty Index: Empirical evidence from households in India," Energy Policy, Elsevier, vol. 102(C), pages 540-550.
    17. Abbas Ali Chandio & Yuansheng Jiang & Jam Ghulam Murtaza Sahito & Fayyaz Ahmad, 2019. "Empirical Insights into the Long-Run Linkage between Households Energy Consumption and Economic Growth: Macro-Level Empirical Evidence from Pakistan," Sustainability, MDPI, vol. 11(22), pages 1-17, November.
    18. Barone, Giovanni & Buonomano, Annamaria & Calise, Francesco & Forzano, Cesare & Palombo, Adolfo, 2019. "Energy recovery through natural gas turboexpander and solar collectors: Modelling and thermoeconomic optimization," Energy, Elsevier, vol. 183(C), pages 1211-1232.
    19. Daioglou, Vassilis & van Ruijven, Bas J. & van Vuuren, Detlef P., 2012. "Model projections for household energy use in developing countries," Energy, Elsevier, vol. 37(1), pages 601-615.
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