2017
DOI: 10.1016/j.wdp.2017.10.001
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Pro-poor growth development and income inequality: Poverty-related Millennium Development Goal (MDG 1) on banks of the Lower Mekong Basin in Cambodia

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Cited by 3 publications
(2 citation statements)
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“…Especially, research conducted in the northwest of Vietnam indicated that growing fruit trees and perennial plants increased average earnings by 2.4 to 3.5-times that of Cropland [39]. It is expected that the higher the farmers' income, the more stable social-economic conditions within the region can be established, and better chances to achieve Millennium Development Goals (MDGs) [44][45][46][47]. Dong Trieu district has been selected to produce fruit products meeting Vietnamese Good Agricultural Practices standards, which have contributed to boosting the resident income.…”
Section: Land-use Distribution In 2030mentioning
confidence: 99%
“…Especially, research conducted in the northwest of Vietnam indicated that growing fruit trees and perennial plants increased average earnings by 2.4 to 3.5-times that of Cropland [39]. It is expected that the higher the farmers' income, the more stable social-economic conditions within the region can be established, and better chances to achieve Millennium Development Goals (MDGs) [44][45][46][47]. Dong Trieu district has been selected to produce fruit products meeting Vietnamese Good Agricultural Practices standards, which have contributed to boosting the resident income.…”
Section: Land-use Distribution In 2030mentioning
confidence: 99%
“…Third, analyses of factors of income inequality and policy suggestions have been produced. Related literature revealed rural inequality influencing factors from diverse perspectives, such as agricultural trade liberalization [16], health levels [17], migration of labor force from rural areas [18,19], household socio-economic characteristics [20], livelihood assets [21], public policy [22,23], and income sources [24][25][26], with an emphasis on non-farming and farming income particularly [23,27,28], even on forestry-based income [29], environmental income [30,31], and transfers [32]. Using the Gini index decomposition analysis to study the impact of income sources on income inequality is a research hotspot, in particular non-farming income sources.…”
Section: Introductionmentioning
confidence: 99%