Domestic technology, consumption economies of scale and poverty: evidence from Sri Lanka

Jayasinghe, Maneka; Ratnasiri, Shyama; Smith, Christine; Chai, Andreas

doi:10.1080/00036846.2017.1374540

Cited by 14 publications

(2 citation statements)

References 32 publications

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“…These factors include the age of the household head, education, ownership of operational land, and the number of income earners (Memon et al, 2019). Research has also found that the introduction of technology lowers the per-capita cost of maintaining a standard of living and augments the consumption of large households so that they can escape poverty (Jayasinghe et al, 2018).…”

Section: Technology Poverty and Inequalitymentioning

confidence: 99%

The Influence of Internet Penetration on Poverty and Income Inequality

Afzal

Firdousi

Waqar³

et al. 2022

Sage Open

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Increased usage of technology is linked with poverty reduction, in existing literature but also rising income inequality due to microeconomic factors. This paper attempts to investigate how the technological penetration has impacted poverty levels and income inequality, at the global level and across different levels of income. Using data for 86 countries between 2005 and 2020, the paper employs a robust two step Systematic Generalized Moment Method (Sys-GMM) to assess the linear effect, non-linear effect, and synergy effect models. The results indicate that technological penetration has a different impact across countries, depending on the income levels. The positive association between technology and income inequality has repercussions for low-income countries, in particular. From a policy perspective, it is essential to consider macro- and micro-economic factors that affect the impact of technology penetration in low-income countries.

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Section: Technology Poverty and Inequalitymentioning

confidence: 99%

The Influence of Internet Penetration on Poverty and Income Inequality

Afzal

Firdousi

Waqar³

et al. 2022

Sage Open

View full text Add to dashboard Cite

show abstract

“…Furthermore, there might be significant differences in equivalence scales between a developed and a developing country, because consumption and production patterns within households would be different between them. For example, using Sri Lanka data, Jayasinghe et al [14,15] show that domestic technology in developing countries affects economies of scale, which would not be observed in developed country. This implies that independent empirical works are needed for developing countries.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Equivalence Scale and Assessment of Its Impact on Poverty Measurement in Bangladesh

2020

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Anti-poverty policies for sustainable development require efficient targeting, for which appropriate poverty lines play a crucial role. In Bangladesh, official poverty lines are estimated with the implicit assumption that there are no economies of scale in household consumption with respect to household size or composition, which raises the question of the accuracy and reliability of the measurement of poverty line. We test the existence of economies of scale, estimate their size, and assess the impact of applying equivalence scale to poverty measurement, using the 2010 Household Income and Expenditure Survey data of Bangladesh. The results confirm the existence of economies of scale in household consumption. Following the model developed by Kakwani and Son, the overall index of economies of scale in household consumption is estimated around 0.85. Modified poverty lines show that under official poverty lines, the probability of being poor is high with respect to household size. The result implies that the poverty head-count ratio(HCR) for households with large number of members might be overestimated in Bangladesh, and that there may be an incentive for low income families to enlarge family size to avail of anti-poverty public transfers.

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Consumption Economies of Scale and Implications on Poverty Measurements

Jayasinghe

2022

Poverty, Food Consumption, and Economic Development

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Domestic technology, consumption economies of scale and poverty: evidence from Sri Lanka

Cited by 14 publications

References 32 publications

The Influence of Internet Penetration on Poverty and Income Inequality

The Influence of Internet Penetration on Poverty and Income Inequality

Estimation of Equivalence Scale and Assessment of Its Impact on Poverty Measurement in Bangladesh

Consumption Economies of Scale and Implications on Poverty Measurements

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