Foment 发表于 2025-3-26 23:20:44

Natural Disasters and Income Inequality in South Asia: An FGLS Panel Analysis, 2-year lag, and 3-year lag have a positive impact on income inequality in South Asian countries. While the effect of natural disasters occurred in the 4-year lag and 5-year lag on income inequality is not observed.

出血 发表于 2025-3-27 02:25:21

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能够支付 发表于 2025-3-27 08:52:24

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Collar 发表于 2025-3-27 13:27:48

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Eviction 发表于 2025-3-27 14:55:27

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多嘴 发表于 2025-3-27 20:40:28

Smart City and Urban Poor : Can They Coexist?,these newly developed localities, do help the Urban Poor in meeting their basic needs? In a planned (so-called) localities on the city fringes, are these people not segregated to a world thrust upon them? What are the support systems provided to continue with the same lifestyle enjoyed by them earli

cushion 发表于 2025-3-28 00:36:49

Does Globalization Lead to Happiness ? Experience from Asian Lower-Middle Income Countries Using Poas remained in question, especially after the adoption of the globalization. The objective of the chapter is to examine the impact of globalization on happiness in Asian lower-middle income countries (LMICs) from the period 2006 to 2016. The chapter used cross-sectionally augmented ADF (CADF), cross

Mediocre 发表于 2025-3-28 04:55:39

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可以任性 发表于 2025-3-28 08:22:54

Natural Disasters and Income Inequality in South Asia: An FGLS Panel Analysis,sters impact the distribution of income in an economy. This chapter aims to critically analyze the effects of natural disasters on income inequality in selected South Asian countries during 1967–2014. The selected South Asian countries for the study include India, Bangladesh, Nepal, Pakistan, and Sr

Agronomy 发表于 2025-3-28 11:13:14

Factors Influencing Inflationary Condition in Sri Lanka: Orthodox Streamlining of Influential Factoic goods and services market. The macroeconomic controls which have been tried were failed to provide the expected results in controlling this condition. Thus, the current research was directed with an objective of streamlining most significant variables which was impacted to create a volatility in
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