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Gross National Product (gross + national_product)
Selected AbstractsEffects of Economic Prosperity on Numbers of Threatened SpeciesCONSERVATION BIOLOGY, Issue 4 2001Robin Naidoo We corrected for factors that might otherwise confound such a relationship. Our study was motivated by the continuing debate over the relationship between environmental degradation and per-capita income. Proponents of the environmental Kuznets-curve hypothesis argue that although environmental degradation may increase initially, increases in per-capita income will eventually result in greater environmental quality. Theoretical objections and the lack of widespread empirical evidence recently have thrown doubt on the existence of such a pattern. Treating threat to biodiversity as one potential indicator of environmental degradation, we divided threatened species into seven taxonomic groups ( plants, mammals, birds, amphibians, reptiles, fishes, and invertebrates) and analyzed each group separately. Count-data regression analysis indicated that the number of threatened species was related to per-capita gross national product in five of seven taxonomic groups. Birds were the only taxonomic group in which numbers of threatened species decreased throughout the range of developed countries' per-capita gross national product. Plants, amphibians, reptiles, and invertebrates showed increasing numbers of threatened species throughout this same range. If these relationships hold, increasing numbers of species from several taxonomic groups are likely to be threatened with extinction as countries increase in prosperity. A key challenge is to understand the interactions among consumer preferences, biology, and institutions that lead to the relationship observed for birds and to see whether this knowledge can be applied to conservation of other taxa. Resumen: Utilizamos datos de más de 100 países para investigar la relación entre números de especies amenazadas y el producto interno bruto per cápita. Hicimos ajustes para factores que pudieran confundir tal relación. Nuestro estudio fue motivado por el continuo debate sobre la relación entre la degradación ambiental y el ingreso per cápita. Proponentes de la hipótesis de la curva ambiental de Kuznets argumentan que, aunque la degradación ambiental puede aumentar inicialmente, el incremento en el ingreso per cápita eventualmente resultará en una mejor calidad ambiental. Recientemente, objeciones teóricas y la carencia de evidencia empírica generalizada hacen dudar de la existencia de ese patrón. Tratando la amenaza a la biodiversidad como un potencial indicador de la degradación ambiental, dividimos a las especies amenazadas en siete grupos taxonómicos (plantas, mamíferos, aves, anfibios, reptiles, peces e invertebrados) y analizamos cada uno por separado. El análisis de regresión de los datos de conteo indicó que el número de especies amenazadas se relacionó con el producto interno bruto per cápita en 5 de los 7 grupos taxonómicos. Las aves fueron el único grupo en el que el número de especies amenazadas decreció a lo largo del rango del producto interno bruto per cápita de los países desarrollados. Las plantas, anfibios, reptiles e invertebrados mostraron un incremento en el número de especies amenazadas en este mismo rango. Si estas relaciones persisten, es posible que aumente el número de especies, de varios grupos taxonómicos, amenazadas de extinción a medida que los países incrementen su prosperidad. Constituye un reto clave entender las interacciones entre la preferencia de los consumidores y los factores biológicos e institucionales que conducen a la relación observada en las aves, y ver si este conocimiento puede aplicarse en la conservación de otros taxones. [source] Forecasting total and industrial sector electricity demand based on genetic algorithm approach: Turkey case studyINTERNATIONAL JOURNAL OF ENERGY RESEARCH, Issue 9 2005Harun Kemal Ozturk Abstract This study deals with estimation of the total and industrial sector electricity consumption based on genetic algorithm (GA) approach, and then proposes two scenarios to project future consumptions. Total electricity consumption is estimated based on gross national product (GNP), population, import and export figures of Turkey. Industrial sector electricity is calculated based on the GNP, import and export figures. Three forms of the genetic algorithm electricity demand (GAED) models for the total and two forms for the industrial electricity consumption are developed. The best-fit GAED model in terms of total minimum relative average errors between observed and estimated values is selected for future demand estimation. ,High- and low-growth scenarios' are proposed for predicting the future electricity consumption. Results showed that the GAED estimates the electricity demand in comparison with the other electricity demand projections. The GAED model plans electricity demand of Turkey until 2020. Copyright © 2005 John Wiley & Sons, Ltd. [source] Demographic change and the demand for environmental regulationJOURNAL OF POLICY ANALYSIS AND MANAGEMENT, Issue 1 2002Matthew E. Kahn Environmental regulation in the United States has increased pollution abatement expenditure as a percentage of gross national product from 1.7 percent in 1972 to an estimated 2.6 percent in the year 2000. This rise in regulation has coincided with demographic and economic changes that include rising educational levels, a growing minority population, an aging population, and decreasing employment in polluting industries. This paper examines whether these trends have contributed to increasing aggregate demand for environmental regulation. New evidence on voting on environmental ballots in California, local government environmental expenditures across the United States, and 25 years of congressional voting on environmental issues is examined to document the demographic correlates of environmental support. Minorities and the more educated are more pro-green, whereas manufacturing workers oppose environmental regulation. While demographics help explain observed differences in environmental support and thus can help predict long trends in the "average voter's" environmentalism, environmentalism varies substantially year to year unrelated to population demographics. © 2002 by the Association for Public Policy Analysis and Management. [source] Is affluence a risk factor for bronchial asthma and type 1 diabetes?PEDIATRIC ALLERGY AND IMMUNOLOGY, Issue 7 2006Alberto Tedeschi In the last decades, an increase in bronchial asthma and type 1 diabetes occurrence has been observed in affluent countries, and a positive association between the two disorders has been demonstrated at the population level. This association could be explained by common risk factors predisposing to both disorders. Altered environmental and lifestyle conditions, possibly related to socio-economic status, might account for the rising trend of the two disorders. To test this hypothesis, we calculated the correlation between the occurrence of type 1 diabetes and asthma, the gross national product (GNP) and the infant mortality rate, in several European and extra-European countries. GNP was positively correlated with the incidence of type 1 diabetes and with symptoms of asthma in European (rsp: 0.53 and 0.69; p = 0.001 and p < 0.0001, respectively) and extra-European countries (rsp: 0.44 and 0.46; p = 0.04 for both diseases). Infant mortality rate was inversely correlated with GNP and with the occurrences of the two diseases in Europe (rsp: ,0.66, p < 0.0001 for type 1 diabetes; rsp:, 0.51, p = 0.01 for asthma). In extra-European countries, a significant relationship was found between infant mortality and asthma (rsp: ,0.46; p = 0.03); a trend towards a negative correlation between infant mortality and type 1 diabetes was also found, although no statistical significance was reached (rsp: ,0.21; p = 0.31). This analysis indicates that type 1 diabetes and asthma are positively associated with the GNP at the population level. Similarly, countries with low infant mortality rates tend to have a higher incidence of these immune-mediated diseases. Although GNP reflects many societal and lifestyle differences, it is notable that a high socio-economic status implies a reduced or delayed exposure to infectious agents. The reduced pressure of infectious agents on the immune system throughout life might contribute to increase the susceptibility to bronchial asthma and type 1 diabetes. [source] Pollen counts in relation to the prevalence of allergic rhinoconjunctivitis, asthma and atopic eczema in the International Study of Asthma and Allergies in Childhood (ISAAC)CLINICAL & EXPERIMENTAL ALLERGY, Issue 12 2003M. L. Burr Summary Background Although pollens are major allergens associated with allergic rhinoconjunctivitis and asthma, there is little information about the relative prevalence of these conditions in populations with different pollen exposures. Objective The purpose of this study was to investigate the relationship between pollen exposure and allergic symptoms among children in different countries. Methods An ecological analysis was conducted to see whether pollen exposure (pollen counts, and duration and severity of pollen seasons) is associated with symptoms of allergic rhinoconjunctivitis, asthma and atopic eczema in 28 centres within 11 countries (nine being in Europe). Data on the prevalence of symptoms in 13,14-year olds were based on the responses to the written questionnaires from the International Study of Asthma and Allergies in Childhood (ISAAC). The analysis was adjusted for gross national product and mean annual relative humidity. Results There was little relationship between pollen exposure and symptom prevalence, except for a significant inverse association between grass pollen counts and lifetime prevalence of the symptoms of allergic rhinitis (P=0.03). Almost all the regression coefficients were negative. The associations were even weaker and all non-significant when the analyses were conducted within countries, using a random intercept fixed slope model, but there was still no evidence of a positive association between pollen exposure and symptoms. Conclusion There is a weak but consistent tendency for the prevalence of allergic symptoms to be inversely associated with pollen exposure. This finding accords with evidence from several countries, suggesting that the prevalence of hayfever and asthma tends to be lower in rural than in urban areas, and lowest among people living on farms. Exposure to allergenic pollen in early life does not appear to increase the risk of acquiring symptoms of respiratory allergy, and may even give some protection against them. [source] | ||||||||||