Impact of fintech, mineral resources extraction, and globalization on social inequality: Exploring the role of technology innovation in G10 economies

Social instability and other conflicts directly relate to income inequality in any region where policymakers are keenly interested. Likewise, the recent financial development and digitalization process greatly impact social development. Hence, this study examines the role of financial technologies,...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Zhu, Xiaoge [verfasserIn] Niu, Xiaoqin [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Financial technologies Natural resources Globalization Income inequality

Übergeordnetes Werk:	Enthalten in: Resources policy - Amsterdam [u.a.] : Elsevier Science, 1974, 89
Übergeordnetes Werk:	volume:89

DOI / URN:	10.1016/j.resourpol.2023.104606

Katalog-ID:	ELV066849276

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allfields	10.1016/j.resourpol.2023.104606 doi (DE-627)ELV066849276 (ELSEVIER)S0301-4207(23)01317-X DE-627 ger DE-627 rda eng 330 VZ 83.63 bkl Zhu, Xiaoge verfasserin aut Impact of fintech, mineral resources extraction, and globalization on social inequality: Exploring the role of technology innovation in G10 economies 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Social instability and other conflicts directly relate to income inequality in any region where policymakers are keenly interested. Likewise, the recent financial development and digitalization process greatly impact social development. Hence, this study examines the role of financial technologies, mineral resources and globalization in determining the trends in social disparity through income inequality in G10 countries. Cross-sectional auto-regressive distributed lagged models have been applied using annual data from 1990 to 2021. Initially, the results reject the absence of cross-sectional dependence, homogeneity in the slope coefficients and non-existence of panel cointegration. To address these issues, the cross-sectional ARDL model is applied. The long-run findings report that financial technologies and globalization reduce income inequality, while mineral resources and technological innovations cause more social inequality. The short-run findings show that technological innovation and globalization are positively (negatively) associated with income inequality. The robustness checks were performed using the Augmented Mean Group estimator. The results suggest the adoption of fintech and transforming mineral industries to promote inclusive economic growth. Financial technologies Natural resources Globalization Income inequality Niu, Xiaoqin verfasserin aut Enthalten in Resources policy Amsterdam [u.a.] : Elsevier Science, 1974 89 Online-Ressource (DE-627)306710234 (DE-600)1500719-4 (DE-576)259484261 nnns volume:89 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie VZ AR 89
spelling	10.1016/j.resourpol.2023.104606 doi (DE-627)ELV066849276 (ELSEVIER)S0301-4207(23)01317-X DE-627 ger DE-627 rda eng 330 VZ 83.63 bkl Zhu, Xiaoge verfasserin aut Impact of fintech, mineral resources extraction, and globalization on social inequality: Exploring the role of technology innovation in G10 economies 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Social instability and other conflicts directly relate to income inequality in any region where policymakers are keenly interested. Likewise, the recent financial development and digitalization process greatly impact social development. Hence, this study examines the role of financial technologies, mineral resources and globalization in determining the trends in social disparity through income inequality in G10 countries. Cross-sectional auto-regressive distributed lagged models have been applied using annual data from 1990 to 2021. Initially, the results reject the absence of cross-sectional dependence, homogeneity in the slope coefficients and non-existence of panel cointegration. To address these issues, the cross-sectional ARDL model is applied. The long-run findings report that financial technologies and globalization reduce income inequality, while mineral resources and technological innovations cause more social inequality. The short-run findings show that technological innovation and globalization are positively (negatively) associated with income inequality. The robustness checks were performed using the Augmented Mean Group estimator. The results suggest the adoption of fintech and transforming mineral industries to promote inclusive economic growth. Financial technologies Natural resources Globalization Income inequality Niu, Xiaoqin verfasserin aut Enthalten in Resources policy Amsterdam [u.a.] : Elsevier Science, 1974 89 Online-Ressource (DE-627)306710234 (DE-600)1500719-4 (DE-576)259484261 nnns volume:89 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie VZ AR 89
allfields_unstemmed	10.1016/j.resourpol.2023.104606 doi (DE-627)ELV066849276 (ELSEVIER)S0301-4207(23)01317-X DE-627 ger DE-627 rda eng 330 VZ 83.63 bkl Zhu, Xiaoge verfasserin aut Impact of fintech, mineral resources extraction, and globalization on social inequality: Exploring the role of technology innovation in G10 economies 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Social instability and other conflicts directly relate to income inequality in any region where policymakers are keenly interested. Likewise, the recent financial development and digitalization process greatly impact social development. Hence, this study examines the role of financial technologies, mineral resources and globalization in determining the trends in social disparity through income inequality in G10 countries. Cross-sectional auto-regressive distributed lagged models have been applied using annual data from 1990 to 2021. Initially, the results reject the absence of cross-sectional dependence, homogeneity in the slope coefficients and non-existence of panel cointegration. To address these issues, the cross-sectional ARDL model is applied. The long-run findings report that financial technologies and globalization reduce income inequality, while mineral resources and technological innovations cause more social inequality. The short-run findings show that technological innovation and globalization are positively (negatively) associated with income inequality. The robustness checks were performed using the Augmented Mean Group estimator. The results suggest the adoption of fintech and transforming mineral industries to promote inclusive economic growth. Financial technologies Natural resources Globalization Income inequality Niu, Xiaoqin verfasserin aut Enthalten in Resources policy Amsterdam [u.a.] : Elsevier Science, 1974 89 Online-Ressource (DE-627)306710234 (DE-600)1500719-4 (DE-576)259484261 nnns volume:89 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie VZ AR 89
allfieldsGer	10.1016/j.resourpol.2023.104606 doi (DE-627)ELV066849276 (ELSEVIER)S0301-4207(23)01317-X DE-627 ger DE-627 rda eng 330 VZ 83.63 bkl Zhu, Xiaoge verfasserin aut Impact of fintech, mineral resources extraction, and globalization on social inequality: Exploring the role of technology innovation in G10 economies 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Social instability and other conflicts directly relate to income inequality in any region where policymakers are keenly interested. Likewise, the recent financial development and digitalization process greatly impact social development. Hence, this study examines the role of financial technologies, mineral resources and globalization in determining the trends in social disparity through income inequality in G10 countries. Cross-sectional auto-regressive distributed lagged models have been applied using annual data from 1990 to 2021. Initially, the results reject the absence of cross-sectional dependence, homogeneity in the slope coefficients and non-existence of panel cointegration. To address these issues, the cross-sectional ARDL model is applied. The long-run findings report that financial technologies and globalization reduce income inequality, while mineral resources and technological innovations cause more social inequality. The short-run findings show that technological innovation and globalization are positively (negatively) associated with income inequality. The robustness checks were performed using the Augmented Mean Group estimator. The results suggest the adoption of fintech and transforming mineral industries to promote inclusive economic growth. Financial technologies Natural resources Globalization Income inequality Niu, Xiaoqin verfasserin aut Enthalten in Resources policy Amsterdam [u.a.] : Elsevier Science, 1974 89 Online-Ressource (DE-627)306710234 (DE-600)1500719-4 (DE-576)259484261 nnns volume:89 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie VZ AR 89
allfieldsSound	10.1016/j.resourpol.2023.104606 doi (DE-627)ELV066849276 (ELSEVIER)S0301-4207(23)01317-X DE-627 ger DE-627 rda eng 330 VZ 83.63 bkl Zhu, Xiaoge verfasserin aut Impact of fintech, mineral resources extraction, and globalization on social inequality: Exploring the role of technology innovation in G10 economies 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Social instability and other conflicts directly relate to income inequality in any region where policymakers are keenly interested. Likewise, the recent financial development and digitalization process greatly impact social development. Hence, this study examines the role of financial technologies, mineral resources and globalization in determining the trends in social disparity through income inequality in G10 countries. Cross-sectional auto-regressive distributed lagged models have been applied using annual data from 1990 to 2021. Initially, the results reject the absence of cross-sectional dependence, homogeneity in the slope coefficients and non-existence of panel cointegration. To address these issues, the cross-sectional ARDL model is applied. The long-run findings report that financial technologies and globalization reduce income inequality, while mineral resources and technological innovations cause more social inequality. The short-run findings show that technological innovation and globalization are positively (negatively) associated with income inequality. The robustness checks were performed using the Augmented Mean Group estimator. The results suggest the adoption of fintech and transforming mineral industries to promote inclusive economic growth. Financial technologies Natural resources Globalization Income inequality Niu, Xiaoqin verfasserin aut Enthalten in Resources policy Amsterdam [u.a.] : Elsevier Science, 1974 89 Online-Ressource (DE-627)306710234 (DE-600)1500719-4 (DE-576)259484261 nnns volume:89 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 83.63 Volkswirtschaftliche Ressourcen Umweltökonomie VZ AR 89
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author	Zhu, Xiaoge
spellingShingle	Zhu, Xiaoge ddc 330 bkl 83.63 misc Financial technologies misc Natural resources misc Globalization misc Income inequality Impact of fintech, mineral resources extraction, and globalization on social inequality: Exploring the role of technology innovation in G10 economies
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topic_title	330 VZ 83.63 bkl Impact of fintech, mineral resources extraction, and globalization on social inequality: Exploring the role of technology innovation in G10 economies Financial technologies Natural resources Globalization Income inequality
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title	Impact of fintech, mineral resources extraction, and globalization on social inequality: Exploring the role of technology innovation in G10 economies
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title_sort	impact of fintech, mineral resources extraction, and globalization on social inequality: exploring the role of technology innovation in g10 economies
title_auth	Impact of fintech, mineral resources extraction, and globalization on social inequality: Exploring the role of technology innovation in G10 economies
abstract	Social instability and other conflicts directly relate to income inequality in any region where policymakers are keenly interested. Likewise, the recent financial development and digitalization process greatly impact social development. Hence, this study examines the role of financial technologies, mineral resources and globalization in determining the trends in social disparity through income inequality in G10 countries. Cross-sectional auto-regressive distributed lagged models have been applied using annual data from 1990 to 2021. Initially, the results reject the absence of cross-sectional dependence, homogeneity in the slope coefficients and non-existence of panel cointegration. To address these issues, the cross-sectional ARDL model is applied. The long-run findings report that financial technologies and globalization reduce income inequality, while mineral resources and technological innovations cause more social inequality. The short-run findings show that technological innovation and globalization are positively (negatively) associated with income inequality. The robustness checks were performed using the Augmented Mean Group estimator. The results suggest the adoption of fintech and transforming mineral industries to promote inclusive economic growth.
abstractGer	Social instability and other conflicts directly relate to income inequality in any region where policymakers are keenly interested. Likewise, the recent financial development and digitalization process greatly impact social development. Hence, this study examines the role of financial technologies, mineral resources and globalization in determining the trends in social disparity through income inequality in G10 countries. Cross-sectional auto-regressive distributed lagged models have been applied using annual data from 1990 to 2021. Initially, the results reject the absence of cross-sectional dependence, homogeneity in the slope coefficients and non-existence of panel cointegration. To address these issues, the cross-sectional ARDL model is applied. The long-run findings report that financial technologies and globalization reduce income inequality, while mineral resources and technological innovations cause more social inequality. The short-run findings show that technological innovation and globalization are positively (negatively) associated with income inequality. The robustness checks were performed using the Augmented Mean Group estimator. The results suggest the adoption of fintech and transforming mineral industries to promote inclusive economic growth.
abstract_unstemmed	Social instability and other conflicts directly relate to income inequality in any region where policymakers are keenly interested. Likewise, the recent financial development and digitalization process greatly impact social development. Hence, this study examines the role of financial technologies, mineral resources and globalization in determining the trends in social disparity through income inequality in G10 countries. Cross-sectional auto-regressive distributed lagged models have been applied using annual data from 1990 to 2021. Initially, the results reject the absence of cross-sectional dependence, homogeneity in the slope coefficients and non-existence of panel cointegration. To address these issues, the cross-sectional ARDL model is applied. The long-run findings report that financial technologies and globalization reduce income inequality, while mineral resources and technological innovations cause more social inequality. The short-run findings show that technological innovation and globalization are positively (negatively) associated with income inequality. The robustness checks were performed using the Augmented Mean Group estimator. The results suggest the adoption of fintech and transforming mineral industries to promote inclusive economic growth.
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title_short	Impact of fintech, mineral resources extraction, and globalization on social inequality: Exploring the role of technology innovation in G10 economies
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Likewise, the recent financial development and digitalization process greatly impact social development. Hence, this study examines the role of financial technologies, mineral resources and globalization in determining the trends in social disparity through income inequality in G10 countries. Cross-sectional auto-regressive distributed lagged models have been applied using annual data from 1990 to 2021. Initially, the results reject the absence of cross-sectional dependence, homogeneity in the slope coefficients and non-existence of panel cointegration. To address these issues, the cross-sectional ARDL model is applied. The long-run findings report that financial technologies and globalization reduce income inequality, while mineral resources and technological innovations cause more social inequality. The short-run findings show that technological innovation and globalization are positively (negatively) associated with income inequality. The robustness checks were performed using the Augmented Mean Group estimator. 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Impact of fintech, mineral resources extraction, and globalization on social inequality: Exploring the role of technology innovation in G10 economies

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