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The scale and patterns of household consumption are important determinants of environmental impacts.Whilst affluence has been shown to have a strong correlation with environmental impact, they do not necessarily grow at the same rate. Given the apparent contradiction between the sustainable development goals of economic growth and environmental protection, it is important to understand the effect of rising affluence and concurrent changing consumption patterns on future environmental impacts. Here we develop an econometric demand model based on the data available froma global multiregional input-output dataset.We model future household consumption following scenarios of population and GDP growth for 49 individual regions. The greenhouse gas (GHG) emissions resulting from the future household demand is then explored both with andwithout consideration of the change in expenditure over time on different consumption categories. Compared to a baseline scenario where final demand grows in line with the 2011 average consumption pattern up until 2030, we find that changing consumer preferences with increasing affluence has a small negative effect on global cumulative GHG emissions. The differences are more profound on both a regional and a product level. For the demand model scenario, we find the largest decrease in GHG emissions for the BRICS and other developing countries, while emissions in North America and the EU remain unchanged. Decreased spending and resulting emissions on food are cancelled out by increased spending and emissions on transportation. Despite relatively small global differences between the scenarios, the regional and sectoralwedges indicate that there is a large untapped potential in environmental policies and lifestyle changes that can complement the technological transition towards a low-emitting society.

The scale and patterns of household consumption are important determinants of environmental impacts. Whilst affluence has been shown to have a strong correlation with environmental impact, they do not necessarily grow at the same rate. Given the apparent contradiction between the sustainable development goals of economic growth and environmental protection, it is important to understand the effect of rising affluence and concurrent changing consumption patterns on future environmental impacts. Here we develop an econometric demand model based on the data available from a global multiregional input-output dataset. We model future household consumption following scenarios of population and GDP growth for 49 individual regions. The greenhouse gas (GHG) emissions resulting from the future household demand is then explored both with and without consideration of the change in expenditure over time on different consumption categories. Compared to a baseline scenario where final demand grows in line with the 2011 average consumption pattern up until 2030, we find that changing consumer preferences with increasing affluence has a small negative effect on global cumulative GHG emissions. The differences are more profound on both a regional and a product level. For the demand model scenario, we find the largest decrease in GHG emissions for the BRICS and other developing countries, while emissions in North America and the EU remain unchanged. Decreased spending and resulting emissions on food are cancelled out by increased spending and emissions on transportation. Despite relatively small global differences between the scenarios, the regional and sectoral wedges indicate that there is a large untapped potential in environmental policies and lifestyle changes that can complement the technological transition towards a low-emitting society.

The scale and patterns of household consumption are important determinants of environmental impacts. Whilst affluence has been shown to have a strong correlation with environmental impact, they do not necessarily grow at the same rate. Given the apparent contradiction between the sustainable development goals of economic growth and environmental protection, it is important to understand the effect of rising affluence and concurrent changing consumption patterns on future environmental impacts. Here we develop an econometric demand model based on the data available from a global multiregional input-output dataset. We model future household consumption following scenarios of population and GDP growth for 49 individual regions. The greenhouse gas (GHG) emissions resulting from the future household demand is then explored both with and without consideration of the change in expenditure over time on different consumption categories. Compared to a baseline scenario where final demand grows in line with the 2011 average consumption pattern up until 2030, we find that changing consumer preferences with increasing affluence has a small negative effect on global cumulative GHG emissions. The differences are more profound on both a regional and a product level. For the demand model scenario, we find the largest decrease in GHG emissions for the BRICS and other developing countries, while emissions in North America and the EU remain unchanged. Decreased spending and resulting emissions on food are cancelled out by increased spending and emissions on transportation. Despite relatively small global differences between the scenarios, the regional and sectoral wedges indicate that there is a large untapped potential in environmental policies and lifestyle changes that can complement the technological transition towards a low-emitting society. ; publishedVersion

The scale and patterns of household consumption are important determinants of environmental impacts. Whilst affluence has been shown to have a strong correlation with environmental impact, they do not necessarily grow at the same rate. Given the apparent contradiction between the sustainable development goals of economic growth and environmental protection, it is important to understand the effect of rising affluence and concurrent changing consumption patterns on future environmental impacts. Here we develop an econometric demand model based on the data available from a global multiregional input-output dataset. We model future household consumption following scenarios of population and GDP growth for 49 individual regions. The greenhouse gas (GHG) emissions resulting from the future household demand is then explored both with and without consideration of the change in expenditure over time on different consumption categories. Compared to a baseline scenario where final demand grows in line with the 2011 average consumption pattern up until 2030, we find that changing consumer preferences with increasing affluence has a small negative effect on global cumulative GHG emissions. The differences are more profound on both a regional and a product level. For the demand model scenario, we find the largest decrease in GHG emissions for the BRICS and other developing countries, while emissions in North America and the EU remain unchanged. Decreased spending and resulting emissions on food are cancelled out by increased spending and emissions on transportation. Despite relatively small global differences between the scenarios, the regional and sectoral wedges indicate that there is a large untapped potential in environmental policies and lifestyle changes that can complement the technological transition towards a low-emitting society.

The scale and patterns of household consumption are important determinants of environmental impacts. Whilst affluence has been shown to have a strong correlation with environmental impact, they do not necessarily grow at the same rate. Given the apparent contradiction between the sustainable development goals of economic growth and environmental protection, it is important to understand the effect of rising affluence and concurrent changing consumption patterns on future environmental impacts. Here we develop an econometric demand model based on the data available from a global multiregional input-output dataset. We model future household consumption following scenarios of population and GDP growth for 49 individual regions. The greenhouse gas (GHG) emissions resulting from the future household demand is then explored both with and without consideration of the change in expenditure over time on different consumption categories. Compared to a baseline scenario where final demand grows in line with the 2011 average consumption pattern up until 2030, we find that changing consumer preferences with increasing affluence has a small negative effect on global cumulative GHG emissions. The differences are more profound on both a regional and a product level. For the demand model scenario, we find the largest decrease in GHG emissions for the BRICS and other developing countries, while emissions in North America and the EU remain unchanged. Decreased spending and resulting emissions on food are cancelled out by increased spending and emissions on transportation. Despite relatively small global differences between the scenarios, the regional and sectoral wedges indicate that there is a large untapped potential in environmental policies and lifestyle changes that can complement the technological transition towards a low-emitting society. ; publishedVersion

AbstractWe use detailed information on the location of agricultural and mining production to approximate international trade for different ethnic groups in order to study its impact on ethnic conflicts in Africa between 1993 and 2010. The goal is to go beyond the income effects of trade to study the residual effects of globalization on conflicts. We find that once we control for income but also for a wide variety of different factors in conflicts (using political variables and fixed effects), the international trade by ethnic groups has a pacific impact on conflicts. While this peaceful impact of trade is mainly found in the trade in agricultural products, it does not have a significant impact on the international trade in mining products. Finally, we propose an original two‐step analysis showing that exports significantly reduce conflicts by affecting time‐varying national characteristics. We interpret this result as an indication that globalization in Africa has participated in the formation of new national identities with peaceful effects between ethnic groups.

We use detailed information on the location of agricultural and mining production to approximate international trade for different ethnic groups in order to study its impact on ethnic conflicts in Africa between 1993 and 2010. The goal is to go beyond the income effects of trade to study the residual effects of globalization on conflicts. We find that once we control for income but also for a wide variety of different factors in conflicts (using political variables and fixed effects), the international trade by ethnic groups has a pacific impact on conflicts. While this peaceful impact of trade is mainly found in the trade in agricultural products, it does not have a significant impact in the international trade in mining products. Finally, we propose an original two-step analysis showing that exports significantly reduce conflicts by affecting time-varying national characteristics. We interpret this result as an indication that globalization in Africa has participated in the formation of new national identities with peaceful effects between ethnic groups.

We use detailed information on the location of agricultural and mining production to approximate international trade for different ethnic groups in order to study its impact on ethnic conflicts in Africa between 1993 and 2010. The goal is to go beyond the income effects of trade to study the residual effects of globalization on conflicts. We find that once we control for income but also for a wide variety of different factors in conflicts (using political variables and fixed effects), the international trade by ethnic groups has a pacific impact on conflicts. While this peaceful impact of trade is mainly found in the trade in agricultural products, it does not have a significant impact in the international trade in mining products. Finally, we propose an original two-step analysis showing that exports significantly reduce conflicts by affecting time-varying national characteristics. We interpret this result as an indication that globalization in Africa has participated in the formation of new national identities with peaceful effects between ethnic groups.

We use detailed information on the location of agricultural and mining production to approximate international trade for different ethnic groups in order to study its impact on ethnic conflicts in Africa between 1993 and 2010. The goal is to go beyond the income effects of trade to study the residual effects of globalization on conflicts. We find that once we control for income but also for a wide variety of different factors in conflicts (using political variables and fixed effects), the international trade by ethnic groups has a pacific impact on conflicts. While this peaceful impact of trade is mainly found in the trade in agricultural products, it does not have a significant impact in the international trade in mining products. Finally, we propose an original two-step analysis showing that exports significantly reduce conflicts by affecting time-varying national characteristics. We interpret this result as an indication that globalization in Africa has participated in the formation of new national identities with peaceful effects between ethnic groups.

AbstractIt has been shown that under an additively separable preference formulation between consumption and hours worked, indeterminacy and sunspots may arise in a standard one‐sector or two‐sector real business cycle model when the labor tax rate is endogenously determined by a balanced‐budget rule with a pre‐specified constant level of government expenditures. Our analysis finds that this indeterminacy result will completely disappear within either setting if the period utility function is postulated to exhibit no income effect on the household's demand for leisure. In particular, the model's low‐tax steady state displays saddle‐path stability and equilibrium uniqueness; whereas the high‐tax steady state is either a source or a saddle point.

In view of rising wage and income inequality, the introduction of a legal minimum wage has recently become an important policy issue in Germany. We analyze the distributional effects of a nationwide legal minimum wage of 7.50 € per hour on the basis of a microsimulation model which accounts for the complex interactions between individual wages, the tax-benefit system and net household incomes, also taking into account potential employment effects as well as indirect effects on consumption. Simulation results show that the minimum wage would be rather ineffective in raising net household incomes and reducing income inequality, even if it led to a substantial increase in hourly wages at the bottom of the wage distribution. The ineffectiveness of a minimum wage in Germany is mainly due to the existing system of means-tested income support and the position of minimum wage earners in the income distribution. -- minimum wage ; wage distribution ; employment effects ; income distribution ; inequality ; microsimulation