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This paper analyzes the direct evidence of climate change in Bolivia during the past 60 years, and estimates how these changes have affected life expectancy and consumption levels for each of the 311 municipalities in Bolivia. Contrary to the predictions of most general circulation models, the evidence shows a consistent cooling trend of about 0.2 Degrees per decade over all highland areas, slight and scattered evidence of warming in the lowlands, and no systematic changes in precipitation. The estimations indicate that the 1 Degree cooling experienced in the already cold highlands over the past five decades likely has reduced consumption possibilities by about 2-3 percent in these areas. Since the much richer population in the lowlands have benefitted slightly from recent climate change, the simulations suggest that recent climate change has contributed to an increase in inequality and poverty in Bolivia. Poor and indigenous peoples in the highlands are among the most severely affected populations. No statistically significant effect on life expectancy was found.
Altitude --- Annual precipitation --- Climate --- Climate Change --- Climate Change Economics --- Climate Change Mitigation and Green House Gases --- Climates --- Cloud cover --- Deserts --- Electricity --- Environment --- Glaciers --- Global Environment --- Health, Nutrition and Population --- Irradiation --- Macroeconomics and Economic Growth --- Meteorological stations --- Oxygen --- Precipitation --- Precipitation anomalies --- Rain --- Relative humidity --- Science and Technology Development --- Science of Climate Change --- Temperature --- Temperature anomalies --- Temperature change --- Tropics
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This paper uses municipality level data to estimate the general relationship between climate, income, and life expectancy in Chile. The analysis finds that incomes are negatively related to temperature, while life expectancy is not significantly related to average temperatures. Both incomes and life expectancy are greater in areas with either very little rain or a lot of rain. The authors use the estimated relationships to simulate the effects of both past (1958-08) and future (2008-58) climate change. The findings indicate that past climate change has been favorable for the central, and most populous, part of Chile, and it has contributed to reduced poverty and reduced inequality of health outcomes. Whereas temperatures in the past have shown a downward trend for most of the Chilean population, climate models suggest that they will increase in the future, and that there will be a reduction in precipitation in the central part of Chile. The analysis simulates the likely effects of these projected climate changes over the next 50 years. The findings suggest that expected future climate will tend to reduce incomes across the whole country, with an average reduction of about 7 percent, all other things equal.
Altitude --- Annual precipitation --- Antarctica --- Climate --- Climate change --- Climate Change Economics --- Climate Change Mitigation and Green House Gases --- Climates --- Cold winters --- Drought --- Environment --- Global Environment Facility --- IPCC --- Less --- Macroeconomics and Economic Growth --- Meteorological data --- Meteorological stations --- No --- Precipitation --- Rain --- Rainfall --- Regional Economic Development --- Science and Technology Development --- Science of Climate Change --- Temperature --- Temperature anomalies --- Temperature change --- Tropics
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This paper analyzes the direct evidence of climate change in Bolivia during the past 60 years, and estimates how these changes have affected life expectancy and consumption levels for each of the 311 municipalities in Bolivia. Contrary to the predictions of most general circulation models, the evidence shows a consistent cooling trend of about 0.2 Degrees per decade over all highland areas, slight and scattered evidence of warming in the lowlands, and no systematic changes in precipitation. The estimations indicate that the 1 Degree cooling experienced in the already cold highlands over the past five decades likely has reduced consumption possibilities by about 2-3 percent in these areas. Since the much richer population in the lowlands have benefitted slightly from recent climate change, the simulations suggest that recent climate change has contributed to an increase in inequality and poverty in Bolivia. Poor and indigenous peoples in the highlands are among the most severely affected populations. No statistically significant effect on life expectancy was found.
Altitude --- Annual precipitation --- Climate --- Climate Change --- Climate Change Economics --- Climate Change Mitigation and Green House Gases --- Climates --- Cloud cover --- Deserts --- Electricity --- Environment --- Glaciers --- Global Environment --- Health, Nutrition and Population --- Irradiation --- Macroeconomics and Economic Growth --- Meteorological stations --- Oxygen --- Precipitation --- Precipitation anomalies --- Rain --- Relative humidity --- Science and Technology Development --- Science of Climate Change --- Temperature --- Temperature anomalies --- Temperature change --- Tropics
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This paper uses district level data to estimate the general relationship between climate, income and life expectancy in Peru. The analysis finds that both incomes and life expectancy show hump-shaped relationships, with optimal average annual temperatures around 18-20 Degree Celsius. These estimated relationships were used to simulate the likely effects of both past (1958-2008) and future (2008-2058) climate change. At the aggregate level, future climate change in Peru is estimated to cause a small reduction in average life expectancy of about 0.2 years. This average, however, hides much larger losses in the already hot areas as well as substantial gains in currently cold areas. Similarly, the average impact on incomes is a modest reduction of 2.3 percent, but with some districts experiencing losses of up to 20 percent and others gains of up to 13 percent. Future climate change is estimated to cause an increase in poverty (all other things equal), but to have no significant effect on the distribution of incomes.
Climate --- Climate Change Economics --- Climate Change Mitigation and Green House Gases --- Climates --- Daily temperature --- Effect of temperature --- Environment --- Excessive rainfall --- Extreme events --- Future Climate Change --- Global temperatures --- Health, Nutrition and Population --- Impacts of Climate Change --- Macroeconomics and Economic Growth --- Meteorological stations --- Ocean currents --- Ocean temperatures --- Population Policies --- Science and Technology Development --- Science of Climate Change --- Scientific evidence --- Temperature --- Temperature anomalies --- Temperature anomaly --- Temperature changes --- Temperature increases --- Temperature variations --- Temperatures
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This paper uses district level data to estimate the general relationship between climate, income and life expectancy in Peru. The analysis finds that both incomes and life expectancy show hump-shaped relationships, with optimal average annual temperatures around 18-20 Degree Celsius. These estimated relationships were used to simulate the likely effects of both past (1958-2008) and future (2008-2058) climate change. At the aggregate level, future climate change in Peru is estimated to cause a small reduction in average life expectancy of about 0.2 years. This average, however, hides much larger losses in the already hot areas as well as substantial gains in currently cold areas. Similarly, the average impact on incomes is a modest reduction of 2.3 percent, but with some districts experiencing losses of up to 20 percent and others gains of up to 13 percent. Future climate change is estimated to cause an increase in poverty (all other things equal), but to have no significant effect on the distribution of incomes.
Climate --- Climate Change Economics --- Climate Change Mitigation and Green House Gases --- Climates --- Daily temperature --- Effect of temperature --- Environment --- Excessive rainfall --- Extreme events --- Future Climate Change --- Global temperatures --- Health, Nutrition and Population --- Impacts of Climate Change --- Macroeconomics and Economic Growth --- Meteorological stations --- Ocean currents --- Ocean temperatures --- Population Policies --- Science and Technology Development --- Science of Climate Change --- Scientific evidence --- Temperature --- Temperature anomalies --- Temperature anomaly --- Temperature changes --- Temperature increases --- Temperature variations --- Temperatures
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