Syud Amer Ahmed

Climate volatility deepens poverty vulnerability in developing countries.

Extreme climate events could influence poverty by affecting agricultural productivity and raising prices of staple foods that are important to poor households in developing countries. With the frequency and intensity of extreme climate events predicted to change in the future, informed policy design and analysis requires an understanding of which countries and groups are going to be most vulnerable to increasing poverty. Using a novel economic-climate analysis framework, we assess the poverty impacts of climate volatility for seven socio-economic groups in 16 developing countries. We find that extremes under present climate volatility increase poverty across our developing country sample—particularly in Bangladesh, Mexico, Indonesia, and Africa—with urban wage earners the most vulnerable group. We also find that global warming exacerbates poverty vulnerability in many nations.

Outsourcing and the US Labour Market

There is worldwide concern about the vulnerability of the current labour force to displacement by future imported services. In the USA, some have suggested that as much as one-third of the workforce might be vulnerable to such outsourcing. However, the labour market impacts of this displacement are difficult to assess using purely analytical or statistical approaches. In this paper, simulation methods are used to understand how sensitive the US economy and labour market are to increases in services imports. Specifically, the scenario examined assumes that the share of imported services in total employment increases from 0.8 per cent to 7.25 per cent over a time horizon in which workers are unable to change occupations. In response, it is found that all industries increase their use of imported services and their use of the composite input that is comprised of imported services and tradable labour. With the exception of legal workers, all workers in tradable occupations experience declines in their real wages. Demand for non-tradable occupations labour rises in the industries that expand the most, while demand falls in shrinking industries. The non-tradable occupations that are used intensively in the shrinking industries experience declines in real wages, while the real wages rise for workers in non-tradable occupations used intensively in the expanding industries.

Assessing the global economic and poverty effects of antimicrobial resistance

This paper assesses the potential impact of antimicrobial resistance on global economic growth and poverty. The analysis uses a global computable general equilibrium model and a microsimulation framework that together capture impact channels related to health, mortality, labor productivity, health care financing, and production in the livestock and other sectors. The effects spread across countries via trade flows that may be affected by new trade restrictions. Relative to a world without antimicrobial resistance, the losses during 2015–50 may sum to

Calibration of a Land Cover Supply Function Using Transition Probabilities

85 trillion in gross domestic product and

Agriculture and Trade Opportunities for Tanzania: Past Volatility and Future Climate Change

23 trillion in global trade (in present value). By 2050, the cost in global gross domestic product could range from 1.1 percent (low case) to 3.8 percent (high case). Antimicrobial resistance is expected to make it more difficult to eliminate extreme poverty. Under the high antimicrobial resistance scenario, by 2030, an additional 24.1 million people would be extremely poor, of whom 18.7 million live in low-income countries. In general, developing countries will be hurt the most, especially those with the lowest incomes.