Innovation and the environmental Kuznets curve: the case of CO, NMVOCs and SOx in the Italian regions

The paper explores the relationship between per capita income and three air pollutants, CO, NMVOCs and SOx, using a novel dataset based on the Italian regions. Given the central role of technological progress in long-term environmental problems, we empirically investigate the influence of innovation on the environmental Kuznets curve (EKC). The estimation results validate the EKC hypothesis for the three air pollutants considered. Furthermore, the influence of innovation on the inverted-U-shaped curve identified by the theoretical literature is empirically confirmed too.Air pollutants, Environmental Kuznets Curve, Italian regions, Technological Progress.

Innovation and the environmental Kuznets curve: the case of CO, NMVOCs and SOx in the Italian regions

The paper explores the relationship between per capita income and three air pollutants, CO, NMVOCs and SOx, using a novel dataset based on the Italian regions. Given the central role of technological progress in long-term environmental problems, we empirically investigate the influence of innovation on the environmental Kuznets curve (EKC). The estimation results validate the EKC hypothesis for the three air pollutants considered. Furthermore, the influence of innovation on the inverted-U-shaped curve identified by the theoretical literature is empirically confirmed too

Un Indicatore per la Lombardia e per le Province di Milano e Pavia (Nuova versione)

This paper aims to construct a high-frequency coincident indicator of economic activity for Lombardy and for the provinces of Milan and Pavia, by using the dynamic factor model approach introduced by Stock e Watson (1998a e 1998b). The principal component analysis is first used to summarize the information contained in a large dataset in a limited number of common factors capable of capturing the main features of local business fluctuations. The EM (Expectation Maximization) algorithm then allows to compute the desired territorial indicators by taking into account the official annual data on regional GDP or provincial valueadded growth

Un Indicatore di Attività Economica per la Lombardia e per le Province di Milano e Pavia

This paper aims to construct a high-frequency coincident indicator of economic activity for Lombardy and for the provinces of Milan and Pavia, by using the dynamic factor model approach introduced by Stock e Watson (1998a e 1998b). The principal component technique is first used to summarize the information contained in a large dataset in a limited number of common factors capable of capturing the main features of local business fluctuations. The EM (Expectation Maximization) algorithm then allows to compute the desired territorial indicators by taking into account the official annual data on regional GDP or provincial value-added growth

Un Indicatore di Attività Economica per la Lombardia e per le Province di Milano e Pavia

This paper aims to construct a high-frequency coincident indicator of economic activity for Lombardy and for the provinces of Milan and Pavia, by using the dynamic factor model approach introduced by Stock e Watson (1998a e 1998b). The principal component technique is first used to summarize the information contained in a large dataset in a limited number of common factors capable of capturing the main features of local business fluctuations. The EM (Expectation Maximization) algorithm then allows to compute the desired territorial indicators by taking into account the official annual data on regional GDP or provincial value-added growth.Coincident Economic Activity Indicators, Italian Regions, Diffusion Indexes

Un Indicatore per la Lombardia e per le Province di Milano e Pavia (Nuova versione)

This paper aims to construct a high-frequency coincident indicator of economic activity for Lombardy and for the provinces of Milan and Pavia, by using the dynamic factor model approach introduced by Stock e Watson (1998a e 1998b). The principal component analysis is first used to summarize the information contained in a large dataset in a limited number of common factors capable of capturing the main features of local business fluctuations. The EM (Expectation Maximization) algorithm then allows to compute the desired territorial indicators by taking into account the official annual data on regional GDP or provincial valueadded growth.Coincident Economic Activity Indicators, Italian Regions, Diffusion Indexes

Consumption and Precautionary Saving: An Empirical Analysis under Both Financial and Environmental Risks

This paper studies the empirical relationship between consumption and saving under two different sources of uncertainty: financial risk and environmental risk. The analysis is carried out using time series data for six advanced economies in the period 1965-2007. The results support the theoretical conclusions that both financial risk alone and the interaction between financial and environmental risks affect consumption. Moreover, we suggest a solution to some shortcomings which concern the empirical analysis performed with one-argument utility functions. Finally, we provide new estimates of indexes of relative risk aversion and relative prudence, and relative preference of environmental quality.Consumption, Precautionary Saving, Financial Risk, Environmental Risk, Prudence, Relative Risk Aversion, Uncertainty

The theory of precautionary saving: an overview of recent developments

This work reviews recent developments in the literature analyzing precautionary saving. After a description of traditional precautionary saving theory, which considers labor income risk and interest rate risk, we present different research lines which introduce a wide range of extensions and generalizations of the classical model: the contemporaneous presence of multiple risks, changes in risks of different types, multiple variables affecting household utility, preferences non-featuring risk aversion and joint decisions on many choice variables. For each of these issues, we provide specific highlights which summarize the main results obtained in the literature. Lastly, we briefly discuss the analyzes beyond the classical model

Technological progress and the environmental Kuznets curve in the twenty regions of Italy

The paper explores the relationship between per capita income and three air pollutants, CO, NMVOCs, and SOx, using a novel dataset based on the 20 regions of Italy. Given the central role of technological progress in long-term environmental problems, we empirically investigate the influence of innovation on the environmental Kuznets curve (EKC). The estimation results validate the existence of an EKC for the three air pollutants considered. Furthermore, the influence of innovation on the inverse-U-shaped curve identified by the theoretical literature is in general empirically confirmed. Finally, the same conclusions also hold when using another dataset related to the aggregate national economy rather than separate regions