Economic analysis of drought risks: an application to irrigated agriculture in Spain

Abstract This paper describes a two-part methodology for managing the risk posed by water supply variability to irrigated agriculture. First, an econometric model is used to explain the variation in the production value of irrigated agriculture. The explanatory variables include an index of irrigation water availability (surface storage levels), a price index representative of the crops grown in each geographical unit, and a time variable. The model corrects for autocorrelation and it is applied to 16 representative Spanish provinces in terms of irrigated agriculture. In the second part, the fitted models are used for the economic evaluation of drought risk. In flow variability in the hydrological system servicing each province is used to perform ex-ante evaluations of economic output for the upcoming irrigation season. The model?s error and the probability distribution functions (PDFs) of the reservoirs? storage variations are used to generate Monte Carlo (Latin Hypercube) simulations of agricultural output 7 and 3 months prior to the irrigation season. The results of these simulations illustrate the different risk profiles of each management unit, which depend on farm productivity and on the probability distribution function of water in flow to reservoirs. The potential for ex-ante drought impact assessments is demonstrated. By complementing hydrological models, this method can assist water managers and decisionmakers in managing reservoirs.

Water scarcity and climate change impact and vulnerability in irrigated agriculture in Mediterranean river basins

Actualmente, la escasez de agua constituye un importante problema en muchos lugares del mundo. El crecimiento de la población, la creciente necesidad de alimentos, el desarrollo socio-económico y el cambio climático ejercen una importante y cada vez mayor presión sobre los recursos hídricos, a la que muchos países van a tener que enfrentarse en los próximos anos. La región Mediterránea es una de las regiones del mundo de mayor escasez de recursos hídricos, y es además una de las zonas más vulnerables al cambio climático. La mayoría de estudios sobre cambio climático prevén mayores temperaturas y una disminución de las precipitaciones, y una creciente escasez de agua debida a la disminución de recursos disponibles y al aumento de las demandas de riego. En el contexto actual de desarrollo de políticas se demanda cada vez más una mayor consideración del cambio climático en el marco de las políticas sectoriales. Sin embargo, los estudios enfocados a un solo sector no reflejan las múltiples dimensiones del los efectos del cambio climático. Numerosos estudios científicos han demostrado que el cambio climático es un fenómeno de naturaleza multi-dimensional y cuyos efectos se transmiten a múltiples escalas. Por tanto, es necesaria la producción de estudios y herramientas de análisis capaces de reflejar todas estas dimensiones y que contribuyan a la elaboración de políticas robustas en un contexto de cambio climático. Esta investigación pretende aportar una visión global de la problemática de la escasez de agua y los impactos, la vulnerabilidad y la adaptación al cambio climático en el contexto de la región mediterránea. La investigación presenta un marco integrado de modelización que se va ampliando progresivamente en un proceso secuencial y multi-escalar en el que en cada etapa se incorpora una nueva dimensión. La investigación consta de cuatro etapas que se abordan a lo largo de cuatro capítulos. En primer lugar, se estudia la vulnerabilidad económica de las explotaciones de regadío del Medio Guadiana, en España. Para ello, se utiliza un modelo de programación matemática en combinación con un modelo econométrico. A continuación, en la segunda etapa, se utiliza un modelo hidro-económico que incluye un modelo de cultivo para analizar los procesos que tienen lugar a escala de cultivo, explotación y cuenca teniendo en cuenta distintas escalas geográficas y de toma de decisiones. Esta herramienta permite el análisis de escenarios de cambio climático y la evaluación de posibles medidas de adaptación. La tercera fase consiste en el análisis de las barreras que dificultan la aplicación de procesos de adaptación para lo cual se analizan las redes socio-institucionales en la cuenca. Finalmente, la cuarta etapa aporta una visión sobre la escasez de agua y el cambio climático a escala nacional y regional mediante el estudio de distintos escenarios de futuro plausibles y los posibles efectos de las políticas en la escasez de agua. Para este análisis se utiliza un modelo econométrico de datos de panel para la región mediterránea y un modelo hidro-económico que se aplica a los casos de estudio de España y Jordania. Los resultados del estudio ponen de relieve la importancia de considerar múltiples escalas y múltiples dimensiones en el estudio de la gestión de los recursos hídricos y la adaptación al cambio climático en los contextos mediterráneos de escasez de agua estudiados. Los resultados muestran que los impactos del cambio climático en la cuenca del Guadiana y en el conjunto de España pueden comprometer la sostenibilidad del regadío y de los ecosistemas. El análisis a escala de cuenca hidrográfica resalta la importancia de las interacciones entre los distintos usuarios del agua y en concreto entre distintas comunidades de regantes, así como la necesidad de fortalecer el papel de las instituciones y de fomentar la creación de una visión común en la cuenca para facilitar la aplicación de los procesos de adaptación. Asimismo, los resultados de este trabajo evidencian también la capacidad y el papel fundamental de las políticas para lograr un desarrollo sostenible y la adaptación al cambio climático es regiones de escasez de agua tales como la región mediterránea. Especialmente, este trabajo pone de manifiesto el potencial de la Directiva Marco del Agua de la Unión Europea para lograr una efectiva adaptación al cambio climático. Sin embargo, en Jordania, además de la adaptación al cambio climático, es preciso diseñar estrategias de desarrollo sostenible más ambiciosas que contribuyan a reducir el riesgo futuro de escasez de agua. ABSTRACT Water scarcity is becoming a major concern in many parts of the world. Population growth, increasing needs for food production, socio-economic development and climate change represent pressures on water resources that many countries around the world will have to deal in the coming years. The Mediterranean region is one of the most water scarce regions of the world and is considered a climate change hotspot. Most projections of climate change envisage an increase in temperatures and a decrease in precipitation and a resulting reduction in water resources availability as a consequence of both reduced water availability and increased irrigation demands. Current policy development processes require the integration of climate change concerns into sectoral policies. However, sector-oriented studies often fail to address all the dimensions of climate change implications. Climate change research in the last years has evidenced the need for more integrated studies and methodologies that are capable of addressing the multi-scale and multi-dimensional nature of climate change. This research attempts to provide a comprehensive view of water scarcity and climate change impacts, vulnerability and adaptation in Mediterranean contexts. It presents an integrated modelling framework that is progressively enlarged in a sequential multi-scale process in which a new dimension of climate change and water resources is addressed at every stage. It is comprised of four stages, each one explained in a different chapter. The first stage explores farm-level economic vulnerability in the Spanish Guadiana basin using a mathematical programming model in combination with an econometric model. Then, in a second stage, the use of a hydro-economic modelling framework that includes a crop growth model allows for the analysis of crop, farm and basin level processes taking into account different geographical and decision-making scales. This integrated tool is used for the analysis of climate change scenarios and for the assessment of potential adaptation options. The third stage includes the analysis of barriers to the effective implementation of adaptation processes based on socioinstitutional network analysis. Finally, a regional and country level perspective of water scarcity and climate change is provided focusing on different possible socio-economic development pathways and the effect of policies on future water scarcity. For this analysis, a panel-data econometric model and a hydro-economic model are applied for the analysis of the Mediterranean region and country level case studies in Spain and Jordan. The overall results of the study demonstrate the value of considering multiple scales and multiple dimensions in water management and climate change adaptation in the Mediterranean water scarce contexts analysed. Results show that climate change impacts in the Guadiana basin and in Spain may compromise the sustainability of irrigation systems and ecosystems. The analysis at the basin level highlights the prominent role of interactions between different water users and irrigation districts and the need to strengthen institutional capacity and common understanding in the basin to enhance the implementation of adaptation processes. The results of this research also illustrate the relevance of water policies in achieving sustainable development and climate change adaptation in water scarce areas such as the Mediterranean region. Specifically, the EU Water Framework Directive emerges as a powerful trigger for climate change adaptation. However, in Jordan, outreaching sustainable development strategies are required in addition to climate change adaptation to reduce future risk of water scarcity.

Análise do impacto das políticas de intervenção no setor do agronegócio sobre a cadeia de carne bovina na Venezuela

O objetivo deste trabalho foi analisar o desempenho da cadeia de carne bovina na Venezuela sob o efeito de políticas de intervenção estatal principalmente nas últimas décadas. Para tanto, foi empregada a abordagem teórica do enfoque sistêmico em conjunto com metodologia que se apoiou em um modelo econométrico para explicar o efeito de variáveis tecnológicas e macroeconômicas no agronegócio vis a vis a resultante da produção doméstica de carne bovina nas últimas décadas. Os resultados mostram que, no marco de mudanças institucionais estabelecidas desde a década de 1980 e especialmente as intervenções governamentais vigentes a partir do ano de 2003, a cadeia de carne bovina da Venezuela apresenta um desempenho negocial preocupante e não sustentável. Na última década, a Venezuela decresceu seu inventário bovino a uma taxa média anual de 2,56% entre 2003 e 2014. O número de cabeças/habitante diminuiu a uma taxa anual de 1,30% entre 1960 e 2014, ficando em 0,38 cabeças/habitante. O número de cabeças abatidas sobre o total do rebanho (taxa de desfrute geral do rebanho) foi de 10,82% para o ano de 2014, inferior à média de países vizinhos como Colômbia e Brasil que ficaram em 20,85% e 19,42% respectivamente. A produção doméstica de carne bovina decresceu a uma taxa anual de 2,22% entre 1997 e 2014 (mesmo considerando o abate de bovinos importados). A quantidade de carne oriunda de animais importados cresceu até alcançar um máximo de 58,51% do abate nacional, em 2013. Isto significou um decréscimo real da produção endógena de 71,55% entre os anos de 1997 e 2013. Neste contexto, a produção nacional percapita diminuiu de 18,31 kg/habitante (em 1997) para um mínimo de 3,97 kg/habitante (em 2013). Para o atendimento da demanda doméstica passou-se a contar, crescentemente, com importações de carne in natura que cresceram em volume inicial de 0,59 mil toneladas (t) de equivalente carcaça (em 1997) para um máximo de 307,57 mil t em 2008. A taxa de penetração das importações de carne bovina equivalente (carne e bovinos em pé) resultou em 79,54% do atendimento da demanda doméstica em 2013 (cerca de 15,45 kg/habitante/ano). Neste contexto, as intervenções mais relevantes têm sido a Lei de Terras que propiciou um ambiente de insegurança jurídica; os controles de preços e a política cambial que criaram distorções no mercado; e, a crescente influência nas redes de distribuição de alimentos, com forte dependência do comércio exterior, alavancado com os incrementos no preço internacional do petróleo entre 2003 e 2014. Tudo isto tem resultado em um cenário de desmonte da produção interna da carne bovina, que pode ser visualizado em episódios crescentes de escassez deste produto no mercado interno. Ao final, são sugeridas algumas práticas de políticas pública e setoriais para a reversão desse quadro insustentável para esta importante cadeia de negócios da Venezuela.

Do Clusters Generate Greater Innovation and Growth? An Analysis of European Regions. Bruges European Economic Research (BEER) Papers 21/October 2011

The analysis of clusters has attracted considerable interest over the last few decades. The articulation of clusters into complex networks and systems of innovation -- generally known as regional innovation systems -- has, in particular, been associated with the delivery of greater innovation and growth. However, despite the growing economic and policy relevance of clusters, little systematic research has been conducted into their association with other factors promoting innovation and economic growth. This article addresses this issue by looking at the relationship between innovation and economic growth in 152 regions of Europe during the period between 1995 and 2006. Using an econometric model with a static and a dynamic dimension, the results of the analysis highlight that: a) regional growth through innovation in Europe is fundamentally connected to the presence of an adequate socioeconomic environment and, in particular, to the existence of a well-trained and educated pool of workers; b) the presence of clusters matters for regional growth, but only in combination with a good ‘social filter’, and this association wanes in time; c) more traditional R&D variables have a weak initial connection to economic development, but this connection increases over time and, is, once again, contingent on the existence of adequate socioeconomic conditions.

Horizontal and Vertical Interdependence in the Multinational Subsidiary Networks. ACES Working Paper No. 7, July 2008

Existing theoretical studies have predicted that a multinational firm's location choices are interdependent across countries. Little has, however, been done to test the hypothesis at individual subsidiary level. This paper uses a detailed French multinational subsidiary dataset and estimates how a firm's decision to invest in a foreign country is not only conditional on the characteristics of that country but also the firm's existing subsidiary network Using a structural spatial econometric model, the paper finds evidence of both horizontal and vertical interdependence in multinationals' location decisions. The results indicate that while multinational firms have little incentive to duplicate their production in countries with low bilateral trade costs, they are motivated to build a vertical subsidiary network in these countries ~ especially when the countries have complementary comparative advantages.

Essays on International Asset Allocation and Pricing

Thesis (Ph.D.)--University of Washington, 2016-06

Essays on Environmental and Health Economics

Thesis (Ph.D.)--University of Washington, 2016-06

Modellazione strutturale di edifici storici in muratura e misti: valutazioni comparate e criteri operativi

L’obiettivo della presente tesi è evidenziare l’importanza dell’approccio critico alla valutazione della vulnerabilità sismica di edifici in muratura e misti Il contributo della tesi sottolinea i diversi risultati ottenuti nella modellazione di tre edifici esistenti ed uno ipotetico usando due diversi programmi basati sul modello del telaio equivalente. La modellazione delle diverse ipotesi di vincolamento ed estensione delle zone rigide ha richiesto la formulazione di quattro modelli di calcolo in Aedes PCM ed un modello in 3muri. I dati ottenuti sono stati confrontati, inoltre, con l’analisi semplificata speditiva per la valutazione della vulnerabilità a scala territoriale prevista nelle “Linee Guida per la valutazione e riduzione del rischio sismico del Patrimonio Culturale”. Si può notare che i valori ottenuti sono piuttosto diversi e che la variabilità aumenta nel caso di edifici non regolari, inoltre le evidenze legate ai danni realmente rilevati sugli edifici mostrano un profondo iato tra la previsione di danno ottenuta tramite calcolatore e le lesioni rilevate; questo costituisce un campanello d’allarme nei confronti di un approccio acritico nei confronti del mero dato numerico ed un richiamo all’importanza del processo conoscitivo. I casi di studio analizzati sono stati scelti in funzione delle caratteristiche seguenti: il primo è una struttura semplice e simmetrica nelle due direzioni che ha avuto la funzione di permettere di testare in modo controllato le ipotesi di base. Gli altri sono edifici reali: il Padiglione Morselli è un edificio in muratura a pianta a forma di C, regolare in pianta ed in elevazione solamente per quanto concerne la direzione y: questo ha permesso di raffrontare il diverso comportamento dei modelli di calcolo nelle sue direzioni; il liceo Marconi è un edificio misto in cui elementi in conglomerato cementizio armato affiancano le pareti portanti in muratura, che presenta un piano di copertura piuttosto irregolare; il Corpo 4 dell’Ospedale di Castelfranco Emilia è un edificio in muratura, a pianta regolare che presenta le medesime irregolarità nel piano sommitale del precedente. I dati ottenuti hanno dimostrato un buon accordo per la quantificazione dell’indice di sicurezza per i modelli regolari e semplici con uno scarto di circa il 30% mentre il delta si incrementa per le strutture irregolari, in particolare quando le pareti portanti in muratura vengono sostituite da elementi puntuali nei piani di copertura arrivando a valori massimi del 60%. I confronti sono stati estesi per le tre strutture anche alla modellazione proposta dalle Linee Guida per la valutazione dell’indice di sicurezza sismica a scala territoriale LV1 mostrando differenze nell’ordine del 30% per il Padiglione Morselli e del 50% per il Liceo Marconi; il metodo semplificato risulta correttamente cautelativo. È, quindi, possibile affermare che tanto più gli edifici si mostrano regolari in riferimento a masse e rigidezze, tanto più la modellazione a telaio equivalente restituisce valori in accordo tra i programmi e di più immediata comprensione. Questa evidenza può essere estesa ad altri casi reali divenendo un vero e proprio criterio operativo che consiglia la suddivisione degli edifici esistenti in muratura, solitamente molto complessi poiché frutto di successive stratificazioni, in parti più semplici, ricorrendo alle informazioni acquisite attraverso il percorso della conoscenza che diviene in questo modo uno strumento utile e vitale. La complessità dell’edificato storico deve necessariamente essere approcciata in una maniera più semplice identificando sub unità regolari per percorso dei carichi, epoca e tecnologia costruttiva e comportamento strutturale dimostrato nel corso del tempo che siano più semplici da studiare. Una chiara comprensione del comportamento delle strutture permette di agire mediante interventi puntuali e meno invasivi, rispettosi dell’esistente riconducendo, ancora una volta, l’intervento di consolidamento ai principi propri del restauro che includono i principi di minimo intervento, di riconoscibilità dello stesso, di rispetto dei materiali esistenti e l’uso di nuovi compatibili con i precedenti. Il percorso della conoscenza diviene in questo modo la chiave per liberare la complessità degli edifici storici esistenti trasformando un mero tecnicismo in una concreta operazione culturale . Il presente percorso di dottorato è stato svolto in collaborazione tra l’Università di Parma, DICATeA e lo Studio di Ingegneria Melegari mediante un percorso di Apprendistato in Alta Formazione e Ricerca.

Modelling foreign direct investment in China

This thesis consists of three empirical and one theoretical studies. While China has received an increasing amount of foreign direct investment (FDI) and become the second largest host country for FDI in recent years, the absence of comprehensive studies on FDI inflows into this country drives this research. In the first study, an econometric model is developed to analyse the economic, political, cultural and geographic determinants of both pledged and realised FDI in China. The results of this study suggest that China's relatively cheaper labour force, high degree of international integration with the outside world (represented by its exports and imports) and bilateral exchange rates are the important economic determinants of both pledged FDI and realised FDI in China. The second study analyses the regional distribution of both pledged and realised FDI within China. The econometric properties of the panel data set are examined using a standardised 't-bar' test. The empirical results indicate that provinces with higher level of international trade, lower wage rates, more R&D manpower, more preferential policies and closer ethnic links with overseas Chinese attract relatively more FDI. The third study constructs a dynamic equilibrium model to study the interactions among FDI, knowledge spillovers and long run economic growth in a developing country. The ideas of endogenous product cycles and trade-related international knowledge spillovers are modified and extended to FDI. The major conclusion is that, in the presence of FDI, economic growth is determined by the stock of human capital, the subjective discount rate and knowledge gap, while unskilled labour can not sustain growth. In the fourth study, the role of FDI in the growth process of the Chinese economy is investigated by using a panel of data for 27 provinces across China between 1986 and 1995. In addition to FDI, domestic R&D expenditure, international trade and human capital are added to the standard convergence regressions to control for different structural characteristics in each province. The empirical results support endogenous innovation growth theory in which regional per capita income can converge given technological diffusion, transfer and imitation.

Innovation, networking and globalisation:the role of regional innovation systems in the global innovation process

In the global economy, innovation is one of the most important competitive assets for companies willing to compete in international markets. As competition moves from standardised products to customised ones, depending on each specific market needs, economies of scale are not anymore the only winning strategy. Innovation requires firms to establish processes to acquire and absorb new knowledge, leading to the recent theory of Open Innovation. Knowledge sharing and acquisition happens when firms are embedded in networks with other firms, university, institutions and many other economic actors. Several typologies of innovation and firm networks have been identified, with various geographical spans. One of the first being modelled was the Industrial Cluster (or in Italian Distretto Industriale) which was for long considered the benchmark for innovation and economic development. Other kind of networks have been modelled since the late 1970s; Regional Innovation Systems represent one of the latest and more diffuse model of innovation networks, specifically introduced to combine local networks and the global economy. This model was qualitatively exploited since its introduction, but, together with National Innovation Systems, is among the most inspiring for policy makers and is often cited by them, not always properly. The aim of this research is to setup an econometric model describing Regional Innovation Systems, becoming one the first attempts to test and enhance this theory with a quantitative approach. A dataset of 104 secondary and primary data from European regions was built in order to run a multiple linear regression, testing if Regional Innovation Systems are really correlated to regional innovation and regional innovation in cooperation with foreign partners. Furthermore, an exploratory multiple linear regression was performed to verify which variables, among those describing a Regional Innovation Systems, are the most significant for innovating, alone or with foreign partners. Furthermore, the effectiveness of present innovation policies has been tested based on the findings of the econometric model. The developed model confirmed the role of Regional Innovation Systems for creating innovation even in cooperation with international partners: this represents one of the firsts quantitative confirmation of a theory previously based on qualitative models only. Furthermore the results of this model confirmed a minor influence of National Innovation Systems: comparing the analysis of existing innovation policies, both at regional and national level, to our findings, emerged the need for potential a pivotal change in the direction currently followed by policy makers. Last, while confirming the role of the presence a learning environment in a region and the catalyst role of regional administration, this research offers a potential new perspective for the whole private sector in creating a Regional Innovation System.

The B-Terminal Busy Probability Prediction

In the teletraffic engineering of all the telecommunication networks, parameters characterizing the terminal traffic are used. One of the most important of them is the probability of finding the called (B-terminal) busy. This parameter is studied in some of the first and last papers in Teletraffic Theory. We propose a solution in this topic in the case of (virtual) channel systems, such as PSTN and GSM. We propose a detailed conceptual traffic model and, based on it, an analytical macro-state model of the system in stationary state, with: Bernoulli– Poisson–Pascal input flow; repeated calls; limited number of homogeneous terminals; losses due to abandoned and interrupted dialling, blocked and interrupted switching, not available intent terminal, blocked and abandoned ringing and abandoned conversation. Proposed in this paper approach may help in determination of many network traffic characteristics at session level, in performance evaluation of the next generation mobile networks.

Competição espacial no mercado de revenda da gasolina: uma análise nas principais cidades do Rio Grande do Norte

This study aims to analyze the relationship between average price with the concentration in the markets (municipalities) in the state of Rio Grande do Norte, is using a little tool applied to the Brazilian market is the spatial econometric model. A data base contains all the stations of the major cities in the state of Rio Grande do Norte and includes 142 observations on stations was used. Theoretical models predict the relationship between the number of competitors in a market and the average price; these theoretical models include: the monopolistic competition of Perloff and Salop (1985), and the search-theoretic, of Carlson and McAfee (1983) and Varian (1980). The empirical results showed that a higher density within a geographic area is associated with a lower average price, thus converging with the monopolistic competition model and with the search-theoretic of Carlson and McAfee (1983). The parameters varied little with the inclusion / exclusion of control variables, showing the robustness of them.

The Distributional Effect of Events on Rural and Urban Households in China

International tourism is considered an effective means of economic development. However, the effects of tourism are not evenly distributed between rural and urban households in China. In the wake of significant socioeconomic events, the uneven distribution of the economic effects has huge welfare implications for Chinese households. This study is the first attempt to evaluate the distributional effect of two large, recent, sequential events on China's rural and urban households. It adopts an innovative approach that combines an econometric model and a two-household computable general equilibrium model. The results show that in terms of welfare, urban households were more adversely affected by the events than rural households. To mitigate the loss of welfare, measures should be taken to continually promote China as a destination and attract tourists after such events occur. Meanwhile, training and education should be made more accessible to rural households to increase their job opportunities.

Agriculture, Environmental Incentive Payments, and Water Quality in the Chesapeake Bay

Nonpoint sources (NPS) pollution from agriculture is the leading source of water quality impairment in U.S. rivers and streams, and a major contributor to lakes, wetlands, estuaries and coastal waters (U.S. EPA 2016). Using data from a survey of farmers in Maryland, this dissertation examines the effects of a cost sharing policy designed to encourage adoption of conservation practices that reduce NPS pollution in the Chesapeake Bay watershed. This watershed is the site of the largest Total Maximum Daily Load (TMDL) implemented to date, making it an important setting in the U.S. for water quality policy. I study two main questions related to the reduction of NPS pollution from agriculture. First, I examine the issue of additionality of cost sharing payments by estimating the direct effect of cover crop cost sharing on the acres of cover crops, and the indirect effect of cover crop cost sharing on the acres of two other practices: conservation tillage and contour/strip cropping. A two-stage simultaneous equation approach is used to correct for voluntary self-selection into cost sharing programs and account for substitution effects among conservation practices. Quasi-random Halton sequences are employed to solve the system of equations for conservation practice acreage and to minimize the computational burden involved. By considering patterns of agronomic complementarity or substitution among conservation practices (Blum et al., 1997; USDA SARE, 2012), this analysis estimates water quality impacts of the crowding-in or crowding-out of private investment in conservation due to public incentive payments. Second, I connect the econometric behavioral results with model parameters from the EPA’s Chesapeake Bay Program to conduct a policy simulation on water quality effects. I expand the econometric model to also consider the potential loss of vegetative cover due to cropland incentive payments, or slippage (Lichtenberg and Smith-Ramirez, 2011). Econometric results are linked with the Chesapeake Bay Program watershed model to estimate the change in abatement levels and costs for nitrogen, phosphorus and sediment under various behavioral scenarios. Finally, I use inverse sampling weights to derive statewide abatement quantities and costs for each of these pollutants, comparing these with TMDL targets for agriculture in Maryland.

Explaining tourists´ support for environmental protection

Any movement towards sustainable tourism is dependent not only upon the industry and other key stakeholders but also the demand side, namely the tourists. Yet, there is a limited literature from the demand point of view. In this area, contributions to an understanding of tourists’ support to sustainable development are necessary. This paper analyzes the main determinants in tourist behavior regarding the environmental considerations when they are making decisions about their holiday plans. General literature on this issue highlights the need to consider socio-economic variables of the individual as well as the attributes related of their style of living. If the econometric model takes into account all these variables simultaneously, then the linkage between contextual changes and tourists´ behaviour is enriched and it may be estimated more accurately. In this sense, a multilevel approach using a random-intercept logistic models is proposed, since tourists belong to a country are affected by the same contextual variables. The analysis comprises a joint dataset composed by microdata belong to the survey Attitudes of Europeans Towards Tourism, which corresponds to Flash Eurobarometer 281, macrodata from Eurostat (GDP in pps and GDP growth) and additional variables profiles from the 2005 Environmental Sustainability Index. Country-specific effects are calculated across the EU-27 countries, which corroborated that attitudes to the sustainable tourism are heterogeneous geo-graphically. The higher the level of GDP, the lower the level of tourists´ support. These results could be explained because tourists of richer countries already have to pay more tax for envi-ronmental protection. Age, gender and educational attainment are relevant. Motivations for travelling, size of the community, type of the destination, and environmental sustainability indi-cators of the place of residence are also important factors.