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      ICT diffusion, women empowerment, and sustainable development in SAARC countries

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      Journal of Economic and Administrative Sciences
      Emerald

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          Abstract

          Purpose

          The main purpose of this paper is to analyze the role of information and communication technology (ICT) diffusion in women empowerment and in fostering the process of achieving the Sustainable Development Goals (SDGs) in South Asian Association for Regional Cooperation (SAARC) countries using panel data from 2005 to 2020.

          Design/methodology/approach

          An ICT diffusion index was constructed using principal component analysis (PCA). Further, the study uses econometric techniques robust to cross-sectional dependence (CSD) which include Pesaran's CSD tests, second-generation unit root test, Pedroni, Kao, Westerlund cointegration test, FMOLS, DCCE, Driscoll–Kraay (DK) regression, and D&H causality tests.

          Findings

          ICT diffusion and economic growth have a significant and favorable impact on women's empowerment. However, fertility rates and trade openness harm women's empowerment. In addition, the causality test results depict a bidirectional causal relationship between ICT and women empowerment and between growth and women empowerment. In addition, unidirectional causality is detected between education and women's empowerment. Overall, the findings indicate that expanding ICT and bridging the digital divide, particularly among women, can be effective in achieving empowerment-related SDGs.

          Originality/value

          To date, there are hardly any studies in SAARC context that empirically evaluate the link between ICT, women empowerment, and the issue of sustainability in a unified framework. Therefore, this study is unique in terms of conceptualization and methodological robustness in this context. The study will benefit policymakers and regulatory bodies to formulate appropriate policies to empower women and thereby attain the SDGs by 2030.

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          Most cited references61

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          Testing for unit roots in heterogeneous panels

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            Unit root tests in panel data: asymptotic and finite-sample properties

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              Testing for Error Correction in Panel Data

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                Author and article information

                Contributors
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                Journal
                Journal of Economic and Administrative Sciences
                JEAS
                Emerald
                1026-4116
                August 19 2022
                August 19 2022
                Article
                10.1108/JEAS-03-2022-0073
                2ce87557-1e2e-41d6-9cfd-996b665a4ff6
                © 2022

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