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Impact of the macroeconomic factors on the level of energy poverty-case of the Czech Republic, Poland and Slovakia

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Warianty tytułu
PL
Wpływ czynników makroekonomicznych na poziom ubóstwa energetycznego na przykładzie Czech, Polski i Słowacji
Języki publikacji
EN
Abstrakty
EN
Energy poverty is a socio-economic topic that is not only related to the sustainability problem of natural resource extraction but also human activities. It reflects a situation in which households are unable to fully meet their energy needs. It mainly affects countries with a lower level of development, as well as those whose energy mix is largely based on non-renewable sources (such as coal). These undoubtedly include the Czech Republic, Poland and Slovakia. Investigations are still being conducted to explain the causes of the problem of energy poverty. The paper’s main aim is to assess the impact of selected macroeconomic factors on the level of energy poverty. A backward stepwise regression procedure was used to achieve this aim. Models have been developed for each of the three countries: the Czech Republic, Poland, and Slovakia separately and for all of them together. These models are intended to identify the most prominent macroeconomic factors across all three countries. Results from all four models have highlighted two prominent variables which may impact the level of energy poverty in selected countries. They are following: electricity prices for household consumers with all taxes and net electricity imports. In three of the four developed models, they explained the level of energy poverty in a statistically significant manner. In conclusion, it can be suggested that the governments of these countries take action on these variables, which can help manage energy poverty. Their identification and subsequent impact may help to reduce this problem in the analysed post-coal economies.
PL
Ubóstwo energetyczne to temat społeczno-gospodarczy związany z problemem zrównoważonego rozwoju wydobycia zasobów naturalnych, ale także działalnością człowieka. Dotyka przede wszystkim kraje o niższym poziomie rozwoju, ale także te, których miks energetyczny opiera się w dużej mierze na źródłach nieodnawialnych (takich jak np. węgiel). Należą do nich niewątpliwie Czechy, Polska i Słowacja. Wciąż prowadzone są badania mające na celu wyjaśnienie przyczyn problemu ubóstwa energetycznego. Niniejsze badanie wkompnowuje się w nurt badań w tym zakresie. Głównym celem artykułu jest ocena wpływu wybranych czynników makroekonomicznych na poziom ubóstwa energetycznego na przykładzie Czech, Polski i Słowacji. By osiągnąć główny cel, zastosowano procedurę regresji krokowej wstecz. Modele zostały opracowane dla każdego z trzech krajów oddzielnie oraz dla wszystkich łącznie. Mają one na celu identyfikację najważniejszych czynników makroekonomicznych oddziałowujących na występowania problemu ubóstwa energetycznego w analizowanych krajach. Wyniki wszystkich czterech modeli uwydatniły dwie istotne zmienne, które mogą mieć wpływ na poziom ubóstwa energetycznego w wybranych krajach. Są to: ceny energii elektrycznej dla odbiorców domowych ze wszystkimi podatkami oraz import energii elektrycznej netto. W trzech z czterech opracowanych modeli w sposób istotny statystycznie wyjaśniały one poziom ubóstwa energetycznego. Podsumowując, można zasugerować, aby rządy badanych krajów podjęły działania w zakresie istotnych statystycznie zmiennych, co może pomóc w zarządzaniu ubóstwem energetycznym. Ich identyfikacja i późniejsze oddziaływanie pozwoli pomóc w ograniczeniu tego problemu w analizowanych gospodarkach.
Rocznik
Tom
Strony
art. no. 836
Opis fizyczny
Bibliogr. 91 poz., tab.
Twórcy
  • University of Economics in Katowice, Department of Accounting, 1 Maja Street 50, 40-287 Katowice, Poland
  • University of Economics in Katowice, Department of Accounting
autor
  • VSB-Technical University of Ostrava, Department of Economics
autor
  • VSB-Technical University of Ostrava, Department of Economics
Bibliografia
  • Acharya, R. H., & Sadath, A. C. (2019). Energy poverty and economic development: household-level evidence from India. Energy & Buildings, 183, 785-791. https://doi.org/10.1016/j.enbuild.2018.11.047
  • Adusah, F. & Takeuchi, K. (2019). Energy poverty in Ghana? Any progress so far? Renewable and Sustainable Energy Reviews, 112, 853-864. https://doi.org/10.1016/j.rser.2019.06.038
  • Alkire, S., Foster, J., Seth, S., Santos, M. E., Roche, J. M., & Ballon, P. (2015). Multidimensional Poverty Measurement and Analysis. Oxford: Oxford University Press.
  • Baker, K. J., Mould, R., & Restrick, S. (2018). Rethink fuel poverty as a complex problem. Nature Energy, 3, 610-612. https://doi.org/10.1038/s41560-018-0204-2
  • Birol, F. (2007). Energy Economics: A Place for Energy Poverty in the Agenda? The Energy Journal, 28(3), 1-6. http://www.jstor.org/stable/41323106.
  • Boardman, B. (1991). Fuel poverty: from cold homes to affordable warmth. London: Belhaven Press.
  • Boch, S. J., Danielle, M., Taylor, M. L. D., Chisolm, D. J., & Kelleher, K. J. (2020). Home is where the health is: Housing quality and adult health outcomes in the Survey of Income and Program Participation. Preventive Medicine, 132, 105990. https://doi.org/10.1016/j.ypmed.2020.105990
  • Bollino, C. A., & Botti, F. (2017). Energy Poverty in Europe: A Multidimensional Approach. PSL Quaterly Review, 70, 473-507. https://doi.org/10.13133/2037-3643_70.283_4
  • Boguszewski, R., Herudziński, T. (2018). Ubóstwo energetyczne w Polsce. Warsaw: Pracownia Badań Społecznych SGGW. https://www.cire.pl/pliki/2/2018/ubostwo_energetyczne_w_polsce_raport_03_09_2018.pdf (in Polish).
  • Bouzarovski, S., Petrova, S., & Sarlamanov, R. (2012). Energy poverty policies in the EU: a critical perspective. Energy Policy, 49, 76-82. https://doi.org/10.1016/j.enpol.2012.01.033
  • Bouzarovski, S. (2014). Energy poverty in the European Union: Landscapes of vulnerability. Wiley Interdisciplinary Reviews: Energy and Environment, 3(3), 276-289. https://doi.org/10.1002/wene.89
  • Bouzarovski, S., & Petrova, S. (2015). A global perspective on domestic energy deprivation: Overcoming the energy poverty–fuel poverty binary. Energy Research & Social Science, 10, 31-40. https://doi.org/10.1016/j.erss.2015.06.007
  • Bouzarovski, S., & Tirado Herrero, S. (2017a). The energy divide: Integrating energy transitions, regional inequalities and poverty trends in the European Union. European Urban and Regional Studies, 24(1), 69-86. https://doi.org/10.1177/09697764155964
  • Bouzarovski, S., & Tirado Herrero, S. (2017b). Geographies of injustice: The socio‐spatial determinants of energy poverty in Poland, the Czech Republic and Hungary. Post‐Communist Economies, 29(1), 27-50. https://doi.org/10.1080/14631377.2016.1242257
  • Bouzarovski, S., & Thomson, H. (2018). Energy Vulnerability in the Grain of the City: Toward Neighborhood Typologies of Material Deprivation. Annals of the American Association of Geographers, 108, 695-717. https://doi.org/10.1080/24694452.2017.1373624
  • Buzar, S. (2007). The ‘hidden’ geographies of energy poverty in post- socialism between institutions and households. Geoforum, 38(2), 224-240. https://doi.org/10.1016/j.geoforum.2006.02.007
  • Chandio, A. A., Jiang, Y., Sahito, J. G. M., & Ahmad, F. (2019). Empirical insights into the long-run linkage between households energy consumption and economic growth: macro-level empirical evidence from Pakistan. Sustainability, 11(22), 6291. https://doi.org/10.3390/su11226291
  • Chapman, A., & Okushima, S. (2019). Engendering an inclusive low-carbon energy transition in Japan: Considering the perspectives and awareness of the energy poor. Energy Policy, 135, 111017. https://doi.org/10.1016/j.enpol.2019.111017
  • Dagoumas, A., & Kitsios, F. (2014). Assessing the impact of the economic crisis on energy poverty in Greece. Sustainable Cities and Society, 13, 267-278. https://doi.org/10.1016/j.scs.2014.02.004
  • Day, C., Gu, Q., Sammons, P. (2016). The Impact of Leadership on Student Outcomes: How Successful School Leaders Use Transformational and Instructional Strategies to Make a Difference. Educational Administration Quarterly, 52, 221-258. https://doi.org/10.1177/0013161X15616863
  • Department for Business Enterprise & Regulatory Reform. (2008). The UK Fuel Poverty Strategy. 6 Annual Progress Report 2008. https://www.bristol.ac.uk/poverty/downloads/keyofficialdocuments/Fuel%20poverty%20strategy%202008.pdf
  • Doğanalp, N., Ozsolak, B., & Aslan, A. (2021). The effects of energy poverty on economic growth: a panel data analysis for BRICS countries. Environmental Science and Pollution Research, 28, 50167-50178. https://doi.org/10.1007/s11356-021-14185-x
  • Dong, K., Ren, X., & Zhao, J. (2021). How does low-carbon energy transition alleviate energy poverty in China? A nonparametric panel causality analysis. Energy Economics, 103, 105620. https://doi.org/10.1016/j.eneco.2021.105620
  • Dubois, U., & Meier, H. (2016). Energy affordability and energy inequality in Europe: Implications for policy making. Energy Research & Social Science, 18, 21‐35. https://doi.org/10.1016/j.erss.2016.04.015
  • EPEE. (2009). Tackling Fuel Poverty in Europe. https://www.fuelpovertylibrary.info/sites/default/files/EAGA51%20CITED%20REPORT%20EPEE%20%282009%29%20Tackling%20Fuel%20Poverty%20in%20Europe%20-%20%20Recommendations%20Guide%20for%20Policy%20Makers.pdf
  • European Commision. (2023). Eurostat Database. https://ec.europa.eu/eurostat/data/database
  • European Commission. (2022a). Energy poverty advisory hub. https://energy-poverty.ec.europa.eu/index_en
  • European Commission. (2022b). Population unable to keep home adequately warm by poverty status. https://ec.europa.eu/eurostat/cache/metadata/en/sdg_07_60_esmsip2.htm
  • European Environment Agency. (2023). Indicators. https://www.eea.europa.eu/en/analysis/indicators
  • Eurostat. (2010). Electricity and natural gas price statistics. https://ec.europa.eu/eurostat/documents/38154/41386/SEarticle2011S1.pdf/505395ff-d855-47f2-98f0-99d899968b25
  • Filčák, R., & Živčič, L. (2017). Energy poverty and multi-dimensional perspectives of social inequalities and policy challenges. International Issues & Slovak Foreign Policy Affairs, 26(1-2), 40-61. https://www.researchgate.net/publication/321533328_Energy_poverty_and_multi-dimensional_perspectives_of_social_inequalities_and_policy_challenges
  • Gafa, Dede W., Egbendewe, A. (2021). Energy poverty in rural West Africa and its determinants: Evidence from Senegal and Togo, Energy Policy, Elsevier, vol. 156(C). https://doi.org/10.1016/j.enpol.2021.112476
  • Ghodsi, M., & Huang, X. (2015). Causality between energy poverty and economic growth in Africa: evidence from time and frequency domain causality test. International Journal of Energy and Statistics, 3(4), 1550020. https://doi.org/10.1142/S2335680415500209
  • González-Eguino, M. (2015). Energy poverty: An overview. Renewable and Sustainable Energy Reviews, 47, 377-385. https://doi.org/10.1016/j.rser.2015.03.013
  • Halkos, G. E., & Gkampoura, E. C. (2021). Evaluating the Effect of Economic Crisis on Energy Poverty in Europe. Renewable and Sustainable Energy Reviews, 144, 110981. https://doi.org/10.1016/j.rser.2021.110981
  • Halkos, G. E., & Gkampoura, E. C. (2023). Assessing Fossil Fuels and Renewables’ Impact on Energy Poverty Conditions in Europe. Energies, 16(1), 560. https://doi.org/10.3390/en16010560
  • Healy, J. D., & Clinch, J. P. (2002). Fuel poverty in Europe: A cross‐country analysis using a new composite measurement. Dublin: University College Dublin.
  • Hills, J. (2012). Getting the measure of fuel poverty. Final Report of the Fuel Poverty Review. London. https://sticerd.lse.ac.uk/dps/case/cr/casereport72.pdf
  • Holtedahl, P., & Joutz, F. L. (2004). Residential electricity demand in Taiwan. Energy Economics, 26(2), 201-224. https://doi.org/10.1016/j.eneco.2003.11.001
  • Jia, P., Zhuang, J., Lucero, A., Li, J. (2022). Does the energy consumption revolution improve the health of elderly adults in rural areas? Evidence from China. Sci. Total Environ. 807, 150755. Part 1. https://doi.org/10.1016/j.scitotenv.2021.150755
  • Juszczyk, S., & Balina, J. (2009). Prognozowanie upadłości przedsiębiorstw spedycyjnych jako bankowe narzędzie decyzyjne. Zeszyty Naukowe SGGW - Ekonomika i Organizacja Gospodarki Żywnościowej, (78), 161-174. https://eiogz.sggw.edu.pl/article/view/8103 (in Polish).
  • Kanagaw, M., & Nakata, T. (2008). Assessment of access to electricity and the socio-economic impacts in rural areas of developing countries. Energy Policy, 36(6), 2016-2029. https://doi.org/10.1016/j.enpol.2008.01.041
  • Kemmler, A., & Spreng, D. (2007). Energy Indicators for Tracking Sustainability in Developing Countries. Energy Policy, 35, 2466-2480. https://doi.org/10.1016/j.enpol.2006.09.006
  • Kosmala, J. (2012). Zastosowanie regresji krokowej do analizy badań dotyczących informatyzacji procesu edukacji. Podstawy Edukacji, 5, 257-267. https://czasopisma.ujd.edu.pl/index.php/PE/article/view/1007 (in Polish).
  • Kuś, A., & Pawlik, M. (2016). Wykorzystanie modelu regresji wielorakiej do określenia czynników z obszaru płynności finansowej kształtujących efektywność w przedsiębiorstwach przemysłowych. Finanse, Rynki Finansowe, Ubezpieczenia, 4, 99-111. https://doi.org/10.18276/frfu.2016.4.82/1-08 (in Polish).
  • Lee, K., Miguel, E., & Wolfram, C. (2020). Does Household Electrification Supercharge Economic Development? Journal of Economic Perspectives, 34, 122-144. https://doi.org/10.1257/jep.34.1.122
  • Legendre, B., & Ricci, O. (2015). Measuring fuel poverty in France: which households are the most fuel vulnerable? Energy Economics, 49, 620-628. https://doi.org/10.1016/j.eneco.2015.01.022
  • Lewis, P. (1982). Fuel poverty can be stopped. Bradford: National Right to Fuel Campaign.
  • Lindeman, R. H., Merenda, P. F., & Gold, R. Z. (1980). Introduction to Bivariate and Multivariate Analysis. Glenview, IL: Scott, Foresman and Company.
  • Lis, M., & Miazga, A. (2015). Kogo obciąży wzrost cen energii? Mapa wydatków energetycznych Polaków. https://ibs.org.pl/wp-content/uploads/2022/12/IBS_Working_paper_11_2015_pl.pdf (in Polish).
  • Malik, G. H., Al Jasimee, K. H., & Alhasan, G. A. K. (2019). Investigating the Effect of Using Activity Based Costing (ABC) on Captive Product Pricing System in Internet Supply Chain Services. International Journal of Supply Chain Management, 8(1), 400. https://doi.org/10.59160/ijscm.v8i1.2525
  • Marí-Dell'Olmo, M., Oliveras, L., Vergara-Hernandez, C., Artazcoz, L., Borrel I Thió, C., Gotsens, M. (2022). Geographical inequalities in energy poverty in a Mediterranean city: Using small-area Bayesian spatial models. Energy Reports, 8, 1249-1259. https://doi.org/10.1016/j.egyr.2021.12.025
  • Mashhoodi, B., Stead, D., & van Timmeren, A. (2019). Spatial homogeneity and heterogeneity of energy poverty: a neglected dimension. Annals of GIS, 25(1), 19-31. https://doi.org/10.1080/19475683.2018.1557253
  • Mastropietro, P. (2019). Who Should Pay to Support Renewable Electricity? Exploring Regressive Impacts, Energy Poverty and Tariff Equity. Energy Research & Social Science, 56, 101222. https://doi.org/10.1016/j.erss.2019.101222
  • Miazga, A., & Owczarek, D. (2015). Dom zimny, dom ciemny – czyli ubóstwo energetyczne w Polsce. IBS Working Paper, 16. https://ibs.org.pl/publications/dom-zimny-dom-ciemny-czyli-ubostwo-energetyczne-w-polsce/ (in Polish).
  • Moore, R. (2012). Definitions of fuel poverty: Implications for policy. Energy Policy, 49, 19-26. https://doi.org/10.1016/j.enpol.2012.01.057
  • Murtaza, G., & Faridi, M. Z. (2015). Causality linkages among energy poverty, income inequality, income poverty and growth: a system dynamic modelling approach. The Pakistan Development Review, 54(4), 407-425. https://doi.org/10.30541/v54i4I-IIpp.407-425
  • Niu, S., Jia, Y., Wang, W., He, R., Hu, L., & Liu, Y. (2013). Electricity consumption and human development level: a comparative analysis based on panel data for 50 countries. International Journal of Electrical Power & Energy System, 53, 338-347. https://doi.org/10.1016/j.ijepes.2013.05.024
  • OPENEXP. (2019). European Energy Poverty Index (EEPI). https://www.openexp.eu/
  • Otamendi-Irizar, I., Grijalba, O., Arias, A., Pennese, C., & Hernández, R. (2022). How can local energy communities promote sustainable development in European cities?. Energy Research & Social Science, 84, 102363. https://doi.org/10.1016/j.erss.2021.102363
  • Oum, S. (2019). Energy poverty in the Lao PDR and its impacts on education and health. Energy Policy, 132, 247-253. https://doi.org/10.1016/j.enpol.2019.05.030
  • Ozturk, I. J. E. P. (2017). The dynamic relationship between agricultural sustainability and food-energy-water poverty in a panel of selected sub-Saharan African countries. Energy Policy, 107, 289-299. https://doi.org/10.1016/j.enpol.2017.04.048
  • Papada, L., & Kaliampakos, D. (2020). Being forced to skimp on energy needs: a new look at energy poverty in Greece. Energy Research & Social Science, 64, 101450. https://doi.org/10.1016/j.erss.2020.101450
  • Pereira, M. G., Freitas, M. A. V., & da Silva, N. F. (2010). Rural electrification and energy poverty: empirical evidence from Brazil. Renewable Sustainable Energy Review, 14(4), 1229-1240. https://doi.org/10.1016/j.rser.2009.12.013
  • Phoumin, H., & Kimura, F. (2019). Cambodia’s energy poverty and its effects on social wellbeing: Empirical evidence and policy implications. Energy Policy, 132, 283-289. https://doi.org/10.1016/j.enpol.2019.05.032
  • Popirlan, C., Tudor, I., & Popirlan, C. (2023). Predicting the unemployment rate and energy poverty levels in selected European Union countries using an ARIMA-ARNN model. PeerJ Computer Science, 9, e1464. https://doi.org/10.7717/peerj-cs.1464
  • Primc, K., Slabe‐Erker, R., & Majcen, B. (2019). Energy poverty: A macrolevel perspective. Sustainable Development, 27(5), 982-989. https://doi.org/10.1002/sd.1999
  • Rafi, M., Naseef, M., & Prasad, S. (2021). Multidimensional energy poverty and human capital development: Empirical evidence from India. Energy Economics, 101, 105427. https://doi.org/10.1016/j.eneco.2021.105427
  • Rasool, S. F., Samma, M., Wang, M., Zhao, Y., & Zhang, Y. (2019). How human resource management practices translate into sustainable organizational performance: the mediating role of product, process and knowledge innovation. Psychology Research Behavior Management, 12, 1009-1025. https://doi.org/10.2147/PRBM.S204662
  • Reddy, A. K. N., Annecke, W., Blok, K., Bloom, D., Boardman, B., Eberhard, A., & Ramakrishna, J. (2000). Energy and Social Issues. In United Nations (Ed.), World Energy Assess (pp. 39-60). Washington, D.C.: Communications Development Incorporated.
  • Sambodo, M. T., & Novandra, R. (2019). The state of energy poverty in Indonesia and its impact on welfare. Energy Policy, 132, 113-121. https://doi.org/10.1016/j.enpol.2019.05.029
  • Sánchez-Guevara Sánchez, C., Sanz Fernández, A., Núñez Peiró, M., & Gómez Muñoz, G. (2020). Energy Poverty in Madrid: Data Exploitation at the City and District Level. Energy Policy, 144, 111653. https://doi.org/10.1016/j.enpol.2020.111653
  • Sarkodie, S., & Adams, S. (2020). Electricity Access and Income Inequality in South Africa: Evidence from Bayesian and NARDL Analyses. Energy Strategy Reviews, 29, Article 100480. https://doi.org/10.1016/j.esr.2020.100480
  • Sokołowski, J., Lewandowski, P., Kiełczewska, A., & Bouzarovski, S. (2020). A multidimensional index to measure energy poverty: the Polish case. Energy Sources Part B, 15(2), 92-112. https://doi.org/10.1080/15567249.2020.1742817
  • Song, M., Zhang, J., Liu, X., Zhang, L., Hao, X., & Li, M. (2023). Developments and Trends in Energy Poverty Research—Literature Visualization Analysis Based on CiteSpace. Sustainability, 15(3), 2576. https://doi.org/10.3390/su15032576
  • Sovacool, B. K., & Dworkin, M. H. (2015). Energy justice: Conceptual insights and practical applications. Applied Energy, 142, 435-444. https://doi.org/10.1016/j.apenergy.2015.01.002
  • Stanisz, A. (2007). Przystępny kurs statystyki z zastosowaniem Statistica PL na przykładach z medycyny. T. 2: Modele liniowe i nieliniowe. Kraków: StatSoft Polska. (in Polish).
  • Szamrej-Baran, I., & Baran, I. (2014). Subiektywne i obiektywne mierniki ubóstwa energetycznego. Research Papers of Wrocław University of Economics, 367, 332-339, https://doi.org/10.15611/pn.2014.367.36 (in Polish).
  • Szewieczek, A., & Lisicki, B. (2019). Discriminatory Models’ Adaptation in Small and Medium Sized Health Care Entities. Serbian Journal of Management, 14(2), 389-403. https://doi.org/10.5937/sjm14-22902
  • Tagliapietra, S. (2017). Beyond Coal: Facilitating the transition in Europe. https://www.bruegel.org/sites/default/files/wp-content/uploads/2017/11/PB-2017_05_SimoneTagliapietra.pdf
  • Thomson, H., & Snell, C. (2013). Quantifying the prevalence of fuel poverty across the European Union. Energy Policy, 52, 563-572. https://doi.org/10.1016/j.enpol.2012.10.009
  • Thomson, H., Bouzarovski, S., & Snell, C. (2017). Rethinking the measurement of energy poverty in Europe: A critical analysis of indicators and data. Indoor and Built Environment, 26(7), 879-901. https://doi.org/10.1177/1420326X17699260
  • Vîrjan, D., Manole, A., Stanef-Puică, M., Chenic, A., Papuc, C., Huru, D., & Bănacu, C. (2023). Competitiveness—theengine that boosts economic growth andrevives the economy. Frontiers in Environmental Sciences, 11:1130173. https://doi.org/10.3389/fenvs.2023.1130173
  • Walkowiak, R., & Zydroń, A. (2012). Zastosowanie regresji krokowej do określenia atrybutów wpływających na wartość nieruchomości rolnych na przykładzie gminy Mosina. Acta Scientiarum Polonorum. Administratio Locorum, 11(3), 239-253. https://bazhum-muzhp-pl.webpkgcache.com/doc/-/s/bazhum.muzhp.pl/media//files/Acta_Scientiarum_Polonorum_Administratio_Locorum/Acta_Scientiarum_Polonorum_Administratio_Locorum-r2012-t11-n3/Acta_Scientiarum_Polonorum_Administratio_Locorum-r2012-t11-n3-s239-253/Acta_Scientiarum_Polonorum_Administratio_Locorum-r2012-t11-n3-s239-253.pdf (in Polish).
  • World Bank. (2023a). Tracking SDG 7: The Energy Progress Report 2020. https://openknowledge.worldbank.org/entities/publication/59964edf-0ffa-5dfc-b989-ddb6d9727701
  • World Bank. (2023b). World Bank Open Data. https://data.worldbank.org/
  • Wu, L., Wei, L., & Hui, C. (2011). Dispositional antecedents and consequences of workplace ostracism: an empirical examination. Frontiers of Business Research in China, 5, 23-44. https://doi.org/10.1007/s11782-011-0119-2
  • Xu, W., Xie, B., Lou, B., Wang, W., & Wang, Y. (2022). Assessing the effect of energy poverty on the mental and physical health in China—Evidence from China family panel studies. Frontiers in Energy Research, 10. https://doi.org/10.3389/fenrg.2022.944415
  • Ying, F., Farouk, A. F. B. A., & Lin, L. Q. (2024). Impact analysis of bilateral trade openness and income inequality based on the system GMM method: A case study of transnational dynamic panel data. International Journal of Applied Economics, Finance and Accounting, 18(2), 411-423. https://doi.org/10.33094/ijaefa.v18i2.1479
  • Younger, B. A. (1985). The Segregation of Items into Categories by Ten-Month-Old Infants. Child Development, 56(6), 1574-1583. https://doi.org/10.2307/1130476
  • Zhang, D., Li, J., & Han, P. (2019). A multidimensional measure of energy poverty in China and its impacts on health: an empirical study based on the China family panel studies. Energy Policy, 131, 72-81. https://doi.org/10.1016/j.enpol.2019.04.037
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