An assessment of the economic impact of climate change on the Agriculture, Coastal and Human Settlements and Health Sectors in Guyana

This report analyses the agriculture, coastal and human settlements and health sectors in Guyana to assess the potential economic impacts of climate change. The fundamental aim of this report is to assist with the development of strategies to deal with the potential impact of climate change on Guyana. It also has the potential to provide essential input for identifying and preparing policies and strategies to help bring the Caribbean sub-region closer to solving problems associated with climate change and attaining national and regional sustainable development goals. Some of the key anticipated manifestations of climate change for the Caribbean include elevated air and sea-surface temperatures, sea-level rise, possible changes in extreme events and a reduction in freshwater resources. The economic impact of climate change on the three sectors was estimated for the A2 and B2 IPCC scenarios until 2050 (agriculture and health sectors) and 2100 (coastal and human settlements sector). An exploration of various adaptation strategies was also undertaken for each sector using standard evaluation techniques. The study of the impact of climate change on the agriculture sector focused on three leading sub-sectors namely: sugar-cane, rice-paddy and fisheries. In estimating costs, the sugar sub-sector is projected to experience losses under A2 between US$ 144 million (at 4% discount rate) and US$300 million (1% rate); comparative statistics for rice are US$795 million and US$1577 million, respectively; while for fisheries, the results show that losses range from US$15 million (4% rate) and US$34 million (1% rate). In general, under the B2 scenarios, there are gains for sugar up to 2030 under all three discount rates while for rice the performance is somewhat better with gains realized under all three discount rates up to 2040. For fisheries, gains are forecasted under all three rates up to 2050, following marginal losses to 2020. In terms of the benefit-cost analysis conducted on selected adaptation measures under the A2 scenario, there were net benefits for all three commodities under all three discount rates. For the sugar-cane sub-sector these are: drainage and irrigation upgrade, purchase of new machinery for planting and harvesting, developing and replanting climate tolerant sugar-cane. The rice-paddy sub-sector will benefit from adaptive strategies, which include maintenance of drainage and irrigation systems, research and development, as well as education and training. Adaptation in the fisheries sub-sector must include measures such as, mangrove development and restoration and public education. The analysis of the coastal and human settlements sector has shown that based upon exposed assets and population, SLR can be classified as having the potential to create catastrophic conditions in Guyana. The main contributing factor is the concentration of socioeconomic infrastructure along the coastline in vulnerable areas.

Latin American Economic Outlook 2016: Towards a new Partnership with China

The Latin American Economic Outlook analyses issues related to Latin America’s economic and social development. Ever since the first edition was launched at the 17th Ibero-American Summit of Heads of State and Government in November 2007 in Santiago (Chile), the report has offered a comparison of Latin American performance with that of other countries and regions in the world, sharing experiences and good practices with the region’s public officials.

An assessment of big data for official statistics in the Caribbean: Challenges and opportunities

The data revolution for sustainable development has triggered interest in the use of big data for official statistics such that theUnited Nations Economic and Social Council considers it to be almost an obligation for statistical organizations to explore big data. Big data has been promoted as a more timely and cheaper alternative to traditional sources of official data, and one that offers great potential for monitoring the sustainable development goals. However, privacy concerns, technology and capacity remain significant obstacles to the use of big data. This study makes a case for incorporating big data in official statitics in the Caribbean by highlight the opportunities that big data provides for the subregion, while suggesting ways to manage the challenges. It serves as a starting point for further discussions on the many facets of big data and provides an initial platform upon which a Caribbean big data strategy could be built.

Resolutions adopted by the Economic Commission for Latin America and the Caribbean at its Thirty-Sixth Session

Resolution 697(XXXVI) Horizons 2030 resolution .-- Resolution 698(XXXVI) ECLAC calendar of conferences for the period 2017-2018 .-- Resolution 699(XXXVI) Regional Conference on Women in Latin America and the Caribbean .-- Resolution 700(XXXVI) Mexico resolution on the establishment of the Forum of the Countries of Latin America and the Caribbean on Sustainable Development .-- Resolution 701(XXXVI) Support for the work of the Latin American and Caribbean Institute for Economic and Social Planning (ILPES) .-- Resolution 702(XXXVI) Statistical Conference of the Americas of the Economic Commission for Latin America and the Caribbean .-- Resolution 703(XXXVI) Regional Conference on Social Development in Latin America and the Caribbean .-- Resolution 704(XXXVI) Programme of work and priorities of the Economic Commission for Latin America and the Caribbean for the biennium 2018-2019 .-- Resolution 705(XXXVI) Caribbean Development and Cooperation Committee .-- Resolution 706(XXXVI) Application of Principle 10 of the Rio Declaration on Environment and Development in Latin America and the Caribbean .-- Resolution 707(XXXVI) Regional Conference on Population and Development in Latin America and the Caribbean .-- Resolution 708(XXXVI) Ministerial Conference on the Information Society in Latin America and the Caribbean .-- Resolution 709(XXXVI) Committee on South-South Cooperation .-- Resolution 710(XXXVI) Conference on Science, Innovation and Information and Communications Technologies of the Economic Commission for Latin America and The Caribbean .-- Resolution 711(XXXVI) Implementation of the Vienna Programme of Action for Landlocked Developing Countries for the Decade 2014-2024 .-- Resolution 712(XXXVI) Regional integration of statistical and geospatial information .-- Resolution 713(XXXVI) Regional follow-up to the outcomes of conferences on financing for development .-- Resolution 714(XXXVI) Place of the next session.

MORPHO-PHYSIOLOGICAL INDICES AND ECONOMIC PRODUCTIVITY OF JAMBU CULTIVARS INFLUENCED BY THE ORGANIC AND MINERAL FERTILIZERS

The jambu belongs to the family Asteraceae, tropical crop, nowadays, this plant has been considered as a promising vegetable crop, because to its pharmacological properties. Despite this novelty, the vegetable remains invisible in the statistics of production and market in the state of Para, Brazil. This research was carried out with the aim of comparing the economic productivity and phenological development by the morpho-physiological growth indexes of two cultivars of jambu organic manure and mineral fertilizers. The experiment was carried out at the Sao Manuel Experimental Farm (Sao Manuel-SP), which belongs to the Faculdade de Ciencias Agronomicas - UNESP, campus Botucatu. The experimental design was a factorial randomized blocks (2 x 2) with two fertilization (organic and mineral) and two cultivars (Jambuarana and Nazareth), with six replications, two fertilization (organic and mineral) and two cultivars (Jambuarana and Nazareth). The following characteristics were evaluated: Plant height (cm), Leaf area (cm(2)), Fresh mass (g), Dry mass (g), Leaf area index (LAI), Leaf area ratio (LAR), Specific leaf Area (SLA), Leaf Weight Ratio (LWR), Amount of water in the plant (QAPA) (g per plant set), Leaf specific weight (LSW) (g cm(-2) per plant set) and Economic productivity. All data were statistically analyzed by analysis of variance and the Tukey test (1%) for mean comparison, with the software SISVAR. In the conditions of this experiment was carried out, it was possible to verify that the cultivar Jamburana had not only a good agronomic development and economic productivity under organic fertilization but also the best morpho-physiological indexes, showing that this kind of fertilization increases the agronomic effectiveness of this cultivar.