Harnessing digital technologies for poverty reduction. Evidence for low-income and lower-middle income countries

Lechman, Ewa; Popowska, Magdalena

doi:10.1016/j.telpol.2022.102313

Cited by 42 publications

(26 citation statements)

References 43 publications

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“…This paper contributes to the literature by providing a more comprehensive analysis than previous studies that were relatively more partial in examining the impact of internet penetration on inclusive growth. The most recent study on the link of the internet to indicators of inclusive growth can be separated into three categories: i) the internet and changes in per capita income (Maurseth, 2018;Hussain, Batool, Akbar & Nazir, 2021;Abdulqadir & Asongu, 2022); ii) internet and income inequality (Bauer, 2018;Canh, Schinckus, Thanh & Hui Ling, 2020;Du, Zhou, Cao, Zhang, Chen & King, 2021); and iii) internet and poverty (Yang, Lu, Wang & Li, 2021;Lechman & Popowska, 2022). The next part of this paper will reconcile the theoretical framework scattered in previous studies to serve as the basis for formulating recommendations for inclusive economic growth during the digitalization era.…”

Section: Figure 1 the Evolution Of Inclusive Growth In Indonesiamentioning

confidence: 89%

Less Inclusive Growth in Indonesia? The Unintended Consequences of Internet Penetration

Jamil

2022

JEBIK

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Separate studies on the impact of internet penetration on growth and per capita income levels, inequality, and poverty levels are still being discussed. Using data from 33 Indonesian provinces between 2008 and 2020, this paper investigates whether internet penetration modulates economic growth by reducing inequality and poverty. The Two-Way Fixed Effect (TWFE) econometric model was used. Two findings can be concluded from this paper. First, Indonesia's economic growth remains less inclusive, as evidenced by rising per capita income, which tends to reduce poverty but not income inequality. Second, Indonesia's economic growth tends to be less inclusive as an unintended consequence of internet penetration. Although it strengthens the effect on poverty reduction, on the other hand, the interaction of economic growth with internet penetration tends to exacerbate income inequality. Based on these findings, the study suggests that the government should improve advanced ICT skills and lower barriers to internet adoption, particularly for the less fortunate. The internet is expected to become a tool to achieve inclusive growth through expanding a newly established middle class instead of simply the economic transformation of the poor into non-poor households under this policy.

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Section: Figure 1 the Evolution Of Inclusive Growth In Indonesiamentioning

confidence: 89%

Less Inclusive Growth in Indonesia? The Unintended Consequences of Internet Penetration

Jamil

2022

JEBIK

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“…The integration of the digital economy and manufacturing industry has the positive effect on the industrial structure (Xu et.al, 2020), resource con guration (Zuo et.al, 2020) and the capacity of regional innovation (Wen et.al, 2019). Lechman and Popowska (2022) thought that the digital economy has the positive effect on the educational development, and then reduce the urban poverty. Digital economy could simplify the process of the education and improve the quality of the education and the level of human capital (Song et al,2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Economy and Green Development—Based on the Empirical Research on the Resource-based Prefecture-Level City

Chen

Yang

2022

Preprint

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Green development is the core content of the high-quality economic development, and the digital economy is the new driving force to accelerate the realization of high-quality economic development. In this regard, this paper selects 248 resource-based prefecture-level cities in China from 2011 to 2019 as the research objects and uses the fixed effect model and mediation effect model to test the relationship between digital economy and regional green development. We get the following conclusions: first, there is the nonlinear relationship between digital economy and regional green development, and this relationship shows the inverted U-shape. Secondly, digital economy can influence regional green development through the path transmission mechanism of regional technological innovation, industrial structure and environmental regulation. Finally, the effect of digital economy on regional green development is heterogeneous, especially in the eastern region and cities with high human capital level. Based on the digital economy, the findings of this paper provide theoretical basis and reference suggestions for promoting the green transformation development of regional economy.

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“…A series of studies have been conducted from the perspectives of agricultural supply-side reform, digital finance, rural e-commerce, rural governance, ecological livability, rural civilization, etc. The research results mainly focus on the positive impact of the digital economy on rural revitalization, which is reflected in the following aspects: First, the digital economy improves residents' incomes, promotes household consumption, enhances the efficiency of poverty alleviation, and improves entrepreneurial vitality [1][2][3][4][5][6][7][8][9]. Secondly, digital technology can accurately obtain agricultural production data, promote precise control of agriculture, and realize the digitization of agricultural production and agricultural operations.…”

Section: Introductionmentioning

confidence: 99%

The measurement, sources of variation, and factors influencing the coupled and coordinated development of rural revitalization and digital economy in China

Huang

Dong

et al. 2022

PLoS ONE

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An evaluation index system for the coupled and coordinated development of China’s digital economy and rural revitalization, including a total of 46 indicators for the digital economy and rural revitalization subsystems, was constructed and combined with the entropy weight method, the coupling coordination degree model, Zhou’s constraint identification index, the Dagum Gini coefficient decomposition method, and the panel spatial econometric model to analyze the level of coupled and coordinated development of China’s digital economy and rural revitalization. The results found that: (1) the coupling and coordination between the two have gradually improved. The constraints of the digital economy on rural revitalization were gradually alleviated from 2011 to 2015, but after the 19th Party Congress, the development trend of rural revitalization has significantly outstripped the digital economy. (2) the spatial differences in the degree of coupling and coordination between the two are dominated by inter-regional differences and show significant spatial convergence and spatial correlation. Differentiated digital economy development strategies and more radiation in polarized areas are important for reducing regional differences in the level of coupling and coordination between the digital economy and rural revitalization. This will help China’s digital countryside grow more efficiently.

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Harnessing digital technologies for poverty reduction. Evidence for low-income and lower-middle income countries

Cited by 42 publications

References 43 publications

Less Inclusive Growth in Indonesia? The Unintended Consequences of Internet Penetration

Less Inclusive Growth in Indonesia? The Unintended Consequences of Internet Penetration

Digital Economy and Green Development—Based on the Empirical Research on the Resource-based Prefecture-Level City

The measurement, sources of variation, and factors influencing the coupled and coordinated development of rural revitalization and digital economy in China

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