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11.4. Monopoly in the Age of Cournot, Walras and Edgeworth11.5. Arthur Marshall and Competition; 11.6. Edward H. Chamberlin, Joan Robinson and Monopolistic Competition; Chapter 12 Macroeconomic Adjusters -- Forerunners of Keynes; 12.1. Knut Wicksell; 12.2. Eugen Von Böhm-Bawerk; 12.3 Michal Kalecki (1899-1970); 12.4. Background to Key Concepts of Kalecki; 12.5. Three Key Concepts; 12.7. John Maynard Keynes (1883-1946); Chapter 13 The General Theory of Employment, Interest And Money; 13.1. Core Ideas: The Driving Force of Demand in an Economy, And Its Cycles; 13.2. J.M. Keynes and F.A. Hayek

Abstract Background The impact of socio-environmental factors on suicide has been examined in many studies. Few of them, however, have explored these associations from a spatial perspective, especially in assessing the association between meteorological factors and suicide. This study examined the association of meteorological and socio-demographic factors with suicide across small areas over different time periods. Methods Suicide, population and socio-demographic data (e.g., population of Aboriginal and Torres Strait Islanders (ATSI), and unemployment rate (UNE) at the Local Government Area (LGA) level were obtained from the Australian Bureau of Statistics for the period of 1986 to 2005. Information on meteorological factors (rainfall, temperature and humidity) was supplied by Australian Bureau of Meteorology. A Bayesian Conditional Autoregressive (CAR) Model was applied to explore the association of socio-demographic and meteorological factors with suicide across LGAs. Results In Model I (socio-demographic factors), proportion of ATSI and UNE were positively associated with suicide from 1996 to 2000 (Relative Risk (RR) ATSI = 1.0107, 95% Credible Interval (CI): 1.0062-1.0151; RR UNE = 1.0187, 95% CI: 1.0060-1.0315), and from 2001 to 2005 (RR ATSI = 1.0126, 95% CI: 1.0076-1.0176; RR UNE = 1.0198, 95% CI: 1.0041-1.0354). Socio-Economic Index for Area (SEIFA) and IND, however, had negative associations with suicide between 1986 and 1990 (RR SEIFA = 0.9983, 95% CI: 0.9971-0.9995; RR ATSI = 0.9914, 95% CI: 0.9848-0.9980). Model II (meteorological factors): a 1°C higher yearly mean temperature across LGAs increased the suicide rate by an average by 2.27% (95% CI: 0.73%, 3.82%) in 1996–2000, and 3.24% (95% CI: 1.26%, 5.21%) in 2001–2005. The associations between socio-demographic factors and suicide in Model III (socio-demographic and meteorological factors) were similar to those in Model I; but, there is no substantive association between climate and suicide in Model III. Conclusions Proportion of Aboriginal and Torres Strait Islanders, unemployment and temperature appeared to be statistically associated with of suicide incidence across LGAs among all selected variables, especially in recent years. The results indicated that socio-demographic factors played more important roles than meteorological factors in the spatial pattern of suicide incidence.

© 2020 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ ; Demand-side flexibility is a promising source of the energy system that might enhance renewable energy penetration and help to democratize the electricity sector. However, it is not clear what is the best strategy to adopt for Demand Aggregators, especially when flexibility is provided by residential and tertiary buildings. This study compares two Demand Aggregators strategies in the framework of the SABINA (H2020) and the REFER research projects and analyses the effect of CO2 prices on the Demand Aggregator business model. Results show that Demand Response activities reduce both the costs and the building CO2 emissions independently from the strategy adopted. ; Peer Reviewed ; Postprint (author's final draft)

10 páginas.-- 4 tablas.-- 60 referencias.-- Supporting InformationAdditional Supporting Information may be found in the online version of this article ; 1. Understanding the proximate factors that govern the widespread mast-seeding process is a question of considerable interest that remains poorly understood. The identity and effect of these factors may vary among coexisting species that differ in leaf habit, potentially resulting in temporally asynchronous patterns of seed production. 2. In this study, we aim to identify the proximate causes of mast-seeding using two oak species with contrasting leaf habit that coexist in southern Spain, the deciduous Quercus canariensis and the evergreen Q. suber. Simultaneously, we review the literature on environmental drivers of mast-seeding in Mediterranean oaks, distinguishing between evergreen and deciduous species. 3. Our results indicate that Mediterranean oaks are primarily sensitive to weather, mast-seeding being strongly correlated with water availability and air temperature, mainly in the spring and summer. 4. The two study oak species were affected by weather in quite different ways, most likely because of different abiotic requirements as well as contrasting functional strategies of resource use and biomass allocation. Specifically, annual seed production in Q. canariensis was more severely limited by drought than in Q. suber, but responded positively to warmer spring temperatures. 5. Q. canariensis showed a large interannual variability, whereas Q. suber exhibited much more constant seed production. These two species also exhibited a very low level of synchrony in their temporal patterns of seed crop size, most likely due to phenological differences in the processes of flowering and seed maturation. 6. Synthesis. Our results indicate that weather plays a crucial role as a proximate driver of mastseeding in Mediterranean oaks. We hypothesize that the current abundance of co-occurring species that differ in leaf habit could be altered under future climate change scenarios. The decline of seed production with drier conditions will be potentially greater in deciduous species, particularly those inhabiting wetter sites. Alternatively, the expected warmer temperatures could negatively affect evergreen species as a consequence of their more conservative strategy of biomass allocation. Our findings suggest that understanding how species with different functional or phenological attributes adjust their reproductive abilities to weather may enable us to infer the effects of ongoing environmental changes on population recruitment and dynamics. ; We thank the "Consejería de Medio Ambiente" (Andalusian Government) and the technical staff of Los Alcornocales Natural Park, for the facilities and support to carry out our fieldwork. We are very grateful to María Amían, Ana Pozuelos, Rocío Sánchez and other undergraduate students for field assistance. This study was supported by a postdoctoral contract of the Andalusian Government to IMPR, by the Spanish MEC projects Heteromed (REN2002- 4041-C02-02), Dinamed (CGL2005-5830-C03-01) and Interbos (CGL2008-04503-C03-01), and by the Andalusian Anasinque-PE2010-RNM-5782 project. WDK was supported by the National Science Foundation (grant DEB-0816691). ; Peer reviewed

Aim: Rarity—an important measure for conservation biogeography—can vary over many orders of magnitude. However, it is unclear which regional-scale abiotic conditions drive processes affecting rarity of endemic species on islands. To support conservation efforts, we (1) assess the main abiotic drivers of endemic rarity, (2) determine how well existing protected areas (PAs) coincide with hotspots of endemic rarity and (3) introduce and evaluate a new hypervolume-based rarity estimator. Location: La Palma (Canary Islands). Methods: We recorded all present endemic vascular plant species in 1,212 plots covering the entire island. We calculated endemic rarity (corrected range-rarity richness for endemics) using a rarity estimation approach based on kernel density estimations (hypervolume approach). We performed a sensitivity analysis based on multiple linear regressions and relative importance estimations of environmental drivers to estimate the performance of the hypervolume-based rarity estimation compared to standard methods (occurrence frequency, convex hulls, alpha hulls). Results: Climate variables (mean annual temperature, climatic rarity, precipitation variability) best explained archipelago endemic (AE) and single-island endemic (SIE) rarity. Existing PAs covered the majority of AE and SIE rarity, especially national and natural parks as well as the Natura 2000 sites. In our study system, hypervolumes performed better than standard measures of range size. Main conclusion: Both AE and SIE rarity on La Palma show a clear spatial pattern, with hotspots of endemic rarity found at high elevations and in rare climates, presumably owing to geographical and climatic constraints and possibly anthropogenic pressure (e.g., land use, introduced herbivores, fire). Areas of high rarity estimates coincide with the distribution and extent of PAs on La Palma, especially since the recent addition of the Natura 2000 sites. The hypervolume approach is a promising tool to estimate species range sizes, and can be applied on all scales where point/plot data are available. ; European Union ; Elite Network of Bavaria