Carbon Emissions and Economic Growth: Homogeneous Causality in Heterogeneous Panels

This paper introduces the concept of homogeneous non-causality in heterogeneous panels. This concept is used to examine a panel of data for evidence of a causal relationship between GDP and carbon emissions. The technique is compared to the standard test for homogeneous non-causality in homogeneous panels and heterogeneous non-causality in heterogeneous panels. In North America, Asia and Oceania the homogeneous non-causality hypothesis that CO2 emissions does not Granger cause GDP cannot be rejected if heterogeneity is allowed for in the data-generating process. In North America the homogeneous non-causality hypothesis that GDP does not cause CO2 emissions cannot be rejected either.Energy; Carbon Emissions; Granger Causality; Heterogeneous Panels

Climate and Happiness

Climate is an important input to many human activities. Climate affects heating and cooling requirements, determines clothing and nutritional needs and limits recreational activities. As such it is to be expected that individuals will have a preference for particular types of climate. These preferences have indeed been observed using a variety of approaches including regional analyses of wage rates and land prices, the propensity to migrate, and analyses based on household consumption patterns. Mindful of existing research this paper analyses a panel of 67 countries attempting to explain differences in self-reported levels of happiness by reference to amongst other things temperature and precipitation. Various indices are used for each of these variables including means, extremes and number of months with a particular climate like the number of hot and cold months. Using a panel-corrected least squares approach the paper demonstrates that, even when controlling for a range of other factors, climate variables have a particularly powerful effect on self reported levels of happiness. Furthermore there is a correspondence between the findings that emerge from this analysis and earlier studies with respect to what constitutes a preferred climate. The relationship between climate and self reported happiness is of particular interest because of the much discussed threat of anthropogenically induced climate change. Differential patterns of warming along with a changed distribution of rainfall promises to alter dramatically the distribution of happiness between nations with some countries moving towards a preferred climate and others moving further away. We find that higher mean temperatures in the coldest month increase happiness, whereas higher mean temperatures in the hottest month decrease happiness. Precipitation does not significantly affect happiness. In particular high latitude countries included in our dataset might benefit from temperature changes. Countries already characterized by very high summer temperatures would most likely suffer losses from climate change.amenity value, climate change, happiness, well-being

HAPPINESS OVER SPACE AND TIME

Hedonic theory assumes that changes in land prices and wage rates eliminate the utility advantages of differing locations. Using happiness data from the German socio-economic panel this paper empirically tests whether regional utility differences exist and if so whether utility levels show any tendency to converge over time. Empirical analysis reveals substantial differences in utility over different regions of Germany. Analysing a panel of data indicates that even if individual utility levels are at any one moment in disequilibrium they are rapidly converging over Germany for all types of individuals.amenity value, Happiness

THE AMENITY VALUE OF CLIMATE TO HOUSEHOLDS IN GERMANY

This study uses the hedonic approach to measure the amenity value of climate in Germany. Unlike in earlier research separate hedonic wage rate and house price regressions are estimated for relatively small geographic areas and formal tests undertaken to determine whether the coefficients describing the impact of climate variables are homogenous over these areas. The evidence suggests that households in Germany are compensated for climate amenities mainly through hedonic housing markets. Given that climate is largely unproductive to industry and few industries spend more on land than labor this is consistent with what theory would predict. Overall households regard higher January temperatures as an amenity but higher July temperatures as a disamenity.amenity value, Climate Change, Germany, Hedonic Pricing

Local Environmental Quality and Life-Satisfaction in Germany

Hitherto the task of valuing differences in environmental quality arising from air pollution and noise nuisance has been carried out mainly by using the hedonic price technique. This paper proposes a different approach to deriving information on individual preferences for local environmental quality. It analyses data drawn from the German socio economic panel in an attempt to explain differences in self-reported levels of well-being in terms of environmental quality. Mindful of existing research a large number of other explanatory variables are included to control for socio-demographic differences, economic circumstances as well as neighbourhood characteristics. Differences in local air quality and noise levels are measured by how much an individual feels affected by air pollution or noise exposure in their residential area. The evidence suggests that even when controlling for a range of other factors higher local air pollution and noise levels significantly diminish subjective well-being. But interestingly differences in perceived air and noise pollution are not capitalised into differences in house prices.air pollution, environmental quality, Germany, life-satisfaction, noise exposure, well-being

CLIMATE CHANGE AND INTERNATIONAL TOURISM: A SIMULATION STUDY

The literature on tourism and climate change lacks an analysis of the global changes in tourism demand. Here a simulation model of international tourism is presented that fills that gap. The current pattern of international tourist flows is modelled using 1995 data on departures and arrivals for 207 countries. Using this basic model the impact on arrivals and departures through changes in population, per capita income and climate change are analysed. In the medium to long term, tourism will grow, however the growth from climate change is smaller than for population and income changes.Tourism demand, climate change, global model

THE EFFECTS OF CLIMATE CHANGE ON INTERNATIONAL TOURISM

We present a simulation model of the flow of tourists between 207 countries. The model almost perfectly reproduces the calibration year 1995, and performs well in reproducing the observations for 1980, 1985 and 1990. The model is used to generate scenarios of international tourist departures and arrivals for the period 2000-2075, with particular emphasis on climate change. The growth rate of international tourism is projected to increase over the coming decades, but may slow down later in the century as demand for travel saturates. Emissions of carbon dioxide would increase fast as well. With climate change, preferred destinations would shift to higher latitudes and altitudes. Tourists from temperate climates would spend more holidays in their home countries. As such tourists currently dominate the international tourism market, climate change would decrease worldwide tourism. The effects of climate change, however, are small compared to the baseline projections.International tourism, climate change impacts, carbon dioxide emissions, scenarios

Climate preferences and destination choice: a segmentation approach

A data set of the holiday destination choices of German tourists is segmented using phase in the life cycle; second, holiday motivation and holiday activities and third, the region of residency. For each segment demand is estimated using data on environmental and economic characteristics of countries. The optimal temperature, where demand peaks, ranges from 22°C to 24°C across the segments. More interestingly, the steepness of the temperature demand relationship is different for different segments. Even though the temperature optima are similar, changes in temperature, for example caused by climate change will have a larger effect on demand depending on the steepness of the temperature-demand relationship. A climate index is calculated for each country using climate data and the respective coefficients from the estimated demand equations. The climate index values are different across the segments: the segment containing those tourists who were swimming and sunbathing while on holiday has the highest index values of all of the segments.tourism demand, segmentation, climate preferences

Extant! Living Bembidion palosverdes Kavanaugh and Erwin (Coleoptera: Carabidae) Found on Santa Catalina Island, California Full Access

Kavanaugh and Erwin (1992) described Bembidion palosverdes from seven specimens from two localities on the Palos Verdes Peninsula, Los Angeles Co., CA (Pt. Vicente, ∼33.741°N, 118.411°W, and Pt. Fermin, ∼33.705°N, 118.294°W), collected in June 1964 by Derham Giuliani. The species\u27 authors spent two days searching for specimens at the two known localities, but found no additional specimens. They suggested that the species may have become extinct prior to its formal description, citing a major 1969 oil spill as a potential factor