Poverty Alleviation and Tropical Forests—What Scope for Synergies?
This paper explores the “state-of-the-art” of the two-way causal links between poverty alleviation and natural tropical forests. Microimpacts of rising poverty can increase or slow forest loss. At the macrolevel, poverty also has an ambiguous effect, but it’s probable that higher income stimulates forest loss by raising demand for agricultural land. The second question is what potential forest-led development has got to alleviate a country’s poverty, in terms of producer benefits, consumer benefits and economy-wide employment. Natural forests widely function “safety nets” for the agricultural poor, but it proves difficult to boost producer benefits significantly. Urban consumer benefits from forest, a crucial target for pro-poor agricultural innovation, are limited and rarely favor the poor. Absorption of (poor) unskilled labor is low in forestry, which tends to be capital-intensive. 
Agricultural Productivity Growth and Poverty Alleviation
How important is agricultural growth to poverty reduction? this text first sets out the theoretical reasons for expecting agricultural growth to scale back poverty. Several plausible and powerful arguments apply ‐ including the creation of jobs on the land, linkages from farming to the remainder of the agricultural economy, and a decline within the real cost of food for the entire economy ‐ but the degree of impact is altogether cases qualified by particular circumstances. Hence, the article deploys a cross‐country estimation of the links between agricultural yield per unit area and measures of poverty. This produces strong confirmation of the hypothesised linkages. it’s unlikely that there are many other development interventions capable of reducing the numbers in poverty so effectively. 
The composition of growth matters for poverty alleviation
This paper contributes to elucidate the cross-country heterogeneity of the poverty response to changes in economic process . It does so by that specialize in the structure of output growth itself. The paper presents a two-sector theoretical model that clarifies the mechanism through which the sectoral composition of growth and associated labor intensity can affect workers’ wages and, thus, poverty alleviation. Then, it presents cross-country empirical evidence that analyzes, first, the differential poverty-reducing impact of sectoral growth at various levels of disaggregation, and, second, the role of unskilled labor intensity in such differential impact. The paper finds evidence that not only the dimensions of economic process but also its composition matters for poverty alleviation, with the most important contributions from unskilled labor-intensive sectors (agriculture, construction, and manufacturing). 
Sustainable Development Goals (SDGs): Are we successful in turning trade-offs into synergies?
The Agenda 2030 with its 17 Sustainable Development Goals (SDGs) provides the framework that each one United Nations (UN) member states have pledged to satisfy . The achievement of this agenda crucially depends on whether humankind are going to be ready to maximize synergies and resolve existing trade-offs between the SDGs. we offer the primary analysis of future interactions for projected SDG trends until 2030 within and between goals, and that we analyze how trade-offs and synergies have evolved within the recent past globally. surely goals, we discover positive developments with notable synergies in our projections, especially for SDGs 1, 3, 7, 8, and 9: Poverty alleviation and strengthening the economy, rooted in innovation, and modern infrastructure, therefore still be the idea upon which many of the opposite SDGs are often achieved. 
MGNREGA and Its Impact on Employment and Poverty Alleviation: Study of Pauri Garhwal District Uttarakhand
Mahatma Gandhi National Rural Employment Guarantee Act is exceptionally an important tool for fighting unemployment and underemployment inside the agricultural areas; and for assaulting rural mass poverty and raising the agricultural problems above the poverty level . The investigation is completed in Pauri Garhwal area of Uttarakhand. The district have 15 blocks , Out of these blocks, Kaljikhal block become purposive due to the foremost quantity beneficiaries of MGNREGA in evaluation to other blocks of the district . 15 villages were selected on the idea of the utmost big variety of beneficiaries. Thus 20 beneficiaries from every village are selected randomly using the straightforward random approach. Consequently, the entire sample as evaluated consisted of 300 beneficiaries. This study examine the impact of MGNREGA on income and employment, poverty alleviation, awareness and suggestions for improving the functioning of the act. 
 Wunder, S., 2001. Poverty alleviation and tropical forests—what scope for synergies?. World development, 29(11), (Web Link)
 Irz, X., Lin, L., Thirtle, C. and Wiggins, S., 2001. Agricultural productivity growth and poverty alleviation. Development policy review, 19(4), (Web Link)
 Loayza, N.V. and Raddatz, C., 2010. The composition of growth matters for poverty alleviation. Journal of development economics, 93(1). (Web Link)
 Sustainable Development Goals (SDGs): Are we successful in turning trade-offs into synergies?
Christian Kroll, Anne Warchold & Prajal Pradhan
Palgrave Communications volume 5, (Web Link)
 Singh, S., S. Negi, R. and Dhanai, R. (2018) “MGNREGA and Its Impact on Employment and Poverty Alleviation: Study of Pauri Garhwal District Uttarakhand”, Journal of Economics, Management and Trade, 21(1), (Web Link)