Applicability of a distributed watershed pollution model in a data-poor environment in Santa Catarina State, Brazil

Intensification of agricultural production without a sound management and regulations can lead to severe environmental problems, as in Western Santa Catarina State, Brazil, where intensive swine production has caused large accumulations of manure and consequently water pollution. Natural resource scientists are asked by decision-makers for advice on management and regulatory decisions. Distributed environmental models are useful tools, since they can be used to explore consequences of various management practices. However, in many areas of the world, quantitative data for model calibration and validation are lacking. The data-intensive distributed environmental model AgNPS was applied in a data-poor environment, the upper catchment (2,520 ha) of the Ariranhazinho River, near the city of Seara, in Santa Catarina State. Steps included data preparation, cell size selection, sensitivity analysis, model calibration and application to different management scenarios. The model was calibrated based on a best guess for model parameters and on a pragmatic sensitivity analysis. The parameters were adjusted to match model outputs (runoff volume, peak runoff rate and sediment concentration) closely with the sparse observed data. A modelling grid cell resolution of 150 m adduced appropriate and computer-fit results. The rainfall runoff response of the AgNPS model was calibrated using three separate rainfall ranges (< 25, 25-60, > 60 mm). Predicted sediment concentrations were consistently six to ten times higher than observed, probably due to sediment trapping along vegetated channel banks. Predicted N and P concentrations in stream water ranged from just below to well above regulatory norms. Expert knowledge of the area, in addition to experience reported in the literature, was able to compensate in part for limited calibration data. Several scenarios (actual, recommended and excessive manure applications, and point source pollution from swine operations) could be compared by the model, using a relative ranking rather than quantitative predictions.

Wireless e-Business Applications - Methods for Forecasting the Demand of Wireless Services and Technologies

Tämä tutkimus oli osa sähköistä liiketoimintaa ja langattomia sovelluksia tutkivaa projektia ja tutkimuksen tavoitteena oli selvittää ennustamisen rooli päätöksenteko- ja suunnitteluprosessissa ja määrittää parhaiten soveltuvat ja useimmin käytetyt teknologian ennustusmenetelmät. Ennustusmenetelmiä tarkasteltiin erityisesti uuden teknologian ja pitkän aikavälin ennustamisen näkökulmasta. Tutkimus perustui teknologista ennustamista, pitkän aikavälin suunnittelua ja innovaatioprosesseja käsittelevän kirjallisuuden analysointiin. Materiaalin perusteella kuvataan teknologian ennustamista informaation hankkimisvälineenä organisaatioiden suunnitteluprosessin apuna. Työssä arvioidaan myös seuraavat teknologisen ennustamisen menetelmät: trendianalyysi-, Delfoi-, cross-impact analyysi-, morfologinen analyysi- ja skenaario analyysimenetelmä. Työ tuo esille jokaisen ennustusmenetelmä ominaispiirteet, rajoitukset ja sovellusmahdollisuudet. Käyttäen esiteltyjä menetelmiä, saadaan kerättyä hyödyllistä informaatiota tulevaisuuden näkymistä, joita sitten voidaan käyttää hyväksi organisaatioiden suunnitteluprosesseissa.

Private micro-irrigation costs using reclaimed water

The cost of reusing water in micro-irrigation at the field level has not been studied in depth although the use of effluents in agriculture is a viable alternative in areas where water is scarce or there is intense competition for its use. The aim of the present study is to analyse the private costs of water reuse in micro-irrigation in an experimental plot. This analysis is intended to provide information about the decision a farmer would make when the choice to use conventional or reclaimed water is guided by cost criteria. The components of the total costs of different combinations of four types of filters and five emitters that can be installed in micro-irrigation systems using reclaimed water have been studied with the data obtained from an experimental plot in conditions similar to those of fruit orchards. Different scenarios that compared the costs of using conventional or reclaimed water in terms of water price and nutrient content were also studied. The results show that a proper combination of filters and emitters can save up to 33% in irrigation costs. Capital costs and maintenance costs were the most variable among the different combinations. Scenario analysis showed that the greater price of reclaimed water could be compensated by high nutrient contents, which would reduce fertilizer costs

Epävarmuuden mallintaminen investointilaskelmissa ja irtautumispäätöksen ajoittaminen: Case Paroc

Tässä diplomityössä on tutkittu epävarmuuden mallintamista investointilaskelmissa. Kirjallisuuden perusteella luotiin prosessimalli, jolla voidaan strukturoidusti tehdä yritysinvestointi- tai yritysirtaantumispäätös. Malli koostuu neljästä päävaiheesta, mutta pääpainopiste mallissa on laskentamenetelmissä. Luotua prosessimallia sekä erityisesti laskentamenetelmiä on sovellettu yritysesimerkin avulla. Epävarmuuden mallintamisongelmaa on käsitelty sekä perinteisten klassillisten investointiteorioiden että reaalioptioajatteluun pohjautuvien menetelmien avulla. Reaalioptioteoriaan perustuvien menetelmien avulla voidaan ottaa huomioon tulevat epävarmuudet ja päätöksentekomahdollisuudet. Perinteisten reaalioptioteorioiden käytännön elämän vastaisten taustaoletuksien vuoksi tutkittiin erityisesti uusimpia malleja. Diplomityössä yritysesimerkiksi valittiin Paroc Group, jonka yritysjärjestelytilannetta tutkittiin sen nykyisen omistajan eli pankin näkökulmasta. Diplomityön yhtenä keskeisenä tavoitteena oli selvittää, että kannattaako pankin myydä yhtiö tämän hetkisellä markkinahinnalla vai odottaa parempaa myyntiajankohtaa.

Pankin reaalioptiot kriisiytyneiden asiakasyrityksien riskienhallinnallisessa lisäluototuksessa

Tämän tutkielman tarkoituksena on ollut tutkia pankin mahdollisuuksia soveltaa reaalioptioajattelua kriisiyrityksien käyttöpääomaan liittyvissä lisäluototusprosesseissa. Kohdepankin rahoitusasiantuntijoita haastattelemalla ja esimerkkitapauksiin tutustumalla tutkia on tutkittu pk-yritysten lisäluototusprosessia ja reaalioptioteorian soveltuvuutta luottoriskinhallintaan. Tutkimuksessa saatiin selville, että pankin luottoprosessin päätöksentekologiikassa on selkeitä yhteneväisyyksiä reaalioptioajattelun kanssa, mutta tietoisesti pankin asiantuntijat eivät sovella reaalioptioteoriaa toimintaansa. Tutkimuksessa havaittiin myös, että tiedostamattoman reaalioptioajattelun hyödyntämisaktiivisuus lisääntyy pankissa sitä mukaa, kun asiakaskohtainen riski kasvaa. Lisäksi kohdepankin asiantuntijat suhtautuivat luottoprosessissa kriisiyrityksille myönnettyihin lisäluottoihin suojautumisoption kaltaisen ajattelumallin tavoin. Toisin sanoen lisäluotto katsottiin asiakasyrityksen toiminnan jatkumisen mahdollistavana tekijänä, jonka avulla pitkän tähtäimen luottoriskin laskeminen on todennäköistä. Reaalioptioteorian tietoinen hyödyntäminen saattaisi tarjota lisätyökaluja asiakasyrityksien skenaarioiden arviointiin ja tukea sitä kautta luottopäätöksen tekemistä ja riskienhallintaa. Reaalioptiot voisivat tuoda joustavuutta ja lisäarvoa sellaisiin tilanteisiin, joissa asiakasyrityksen osalta ei ole olemassa laajaa historiatietoa tai asiakastuntemusta. Reaalioptioiden mahdollistaman joustavuuden sovittaminen säädösten mukaisiin proseduureihin saattaisi olla merkittävä keino pankin prosessin kehittämiseksi ja sisäisen viestinnän tehostamiseksi.

Skenaariomenetelmän käyttö toimialaympäristön analyysissa

Tämän pro gradu – tutkielman tarkoituksena on kuvata miten toimialaympäristöä analysoidaan käyttäen tulevaisuudentutkimukseen tarkoitettua skenaariomenetelmää. Globaali muutosvauhti ja lisääntynyt syklisyys tuovat haastetta toimintaympäristön analysointiin. Yrityksille muutosten huomaaminen ja niiden ymmärtäminen ovat pitkän aikavälin menestystekijöitä. Tässä tutkimuksessa tavoitteena on tunnistaa arvopaperimarkkinoiden keskeiset toimialaympäristötekijät ja niihin sisältyvät arvot. Tutkimuksen tarkoituksena on ymmärtää strategisen ja ennakoivan toimintaympäristön seurannan merkitys. Teoreettisena viitekehyksenä keskityttiin tulevaisuudentutkimuksen lisäksi makrotason toimialaympäristöanalyysiin. Aineistonkeruu suoritettiin sekä kirjoituspöytätutkimuksena että kvalitatiivisena tutkimushaastatteluna johtavia toimiala-asiantuntijoita haastattelemalla. Skenaariotyöskentelymenetelmäksi valittiin morfologinen skenaariotyöskentely. Skenaarioita rakentamalla pyrittiin visioimaan mahdollista tulevaisuuden suuntaa ja kuvattiin eri tulevaisuuspolkujen kehittyminen. Tutkimuksessa luotiin tulevaisuustaulukon pohjalta kolme vaihtoehtoista skenaariota Suomen arvopaperimarkkinoille.

Future of Newspaper Business Models in Finland

The purpose of this Master’s thesis was to study the business model development in Finnish newspaper industry during the next then years through scenario planning. The objective was to see how will the business models develop amidst the many changes in the industry, what factors are affecting the change, what are the implications of these changes for the players in the industry and how should the Finnish newspaper companies evolve in order to succeed in the future. In this thesis the business model change is studied based on all the elements of business models, as it was discovered that the industry is too often focusing on changes in only few of those elements and a more broader view can provide valuable information for the companies. The results revealed that the industry is affected by many changes during the next ten years. Scenario planning provides a good tool for analyzing this change and for developing valuable options for businesses. After conducting series of interviews and discovering forces affecting the change, four different scenarios were developed centered on the role that newspaper will take and the level at which they are providing the content in the future. These scenarios indicated that there are varieties of options in the way the business models may develop and that companies should start making decisions proactively in order to succeed. As the business model elements are interdepended, changes made in the other elements will affect the whole model, making these decisions about the role and level of content important for the companies. In the future, it is likely that the Finnish newspaper industry will include many different kinds of business models, some of which can be drastically different from the current ones and some of which can still be similar, but take better into account the new kind of media environment.

Verkostoskenaarioiden arviointi sähkön jakeluverkkotoiminnan valvontamenetelmien kannalta

Tämän työn tavoitteena oli selvittää sähkön jakeluverkkotoiminnan valvontamenetelmien muutoksien vaikutuksia Loiste Sähköverkko Oy:n talouteen neljännellä ja viidennellä valvontajaksolla. Tarkastelua varten tehtiin talousmalli, joka mallintaa verkkoyhtiön taloutta vuoteen 2040 asti. Talousmallissa mallinnettiin kaikkien kannustimien vaikutus paitsi innovaatio- ja toimitusvarmuuskannustimien vaikutus. Talousmallinnuksen perusperiaate oli, että mitä ei pystytä kattamaan siirtotuloilla, rahoitetaan vieraalla pääomalla, kun kassavirran minimitaso ja investointitaso ovat valittu. Talousmallilla tarkasteltiin neljää erilaista verkostoskenaariota. Tarkasteltavat verkostoskenaariot olivat kehittämissuunnitelman mukainen skenaario, nopeutettu kehittämissuunnitelman mukainen skenaario, kaapelointipainotteinen skenaario ja kunnossapitopainotteinen skenaario. Verkon arvon kehittyminen verkostoskenaarioissa mallinnettiin Loiste Sähköverkko Oy:n investointimallilla ja kuvattiin talousmallinnusta varten jälleenhankinta-arvon, nykykäyttöarvon, investointien ja tasapoistojen kehittymisellä vuoteen 2029 asti. Työn tulosten perusteella kehittämissuunnitelman mukaisessa skenaariossa vieraan pääoman määrä pysyy kohtuullisena ja mahdollistaa kohtuullisen kassavirran tarkastelujakson lopussa. Nopeutetussa kehittämissuunnitelman mukaisessa skenaariossa ja kaapelointipainotteisissa skenaariossa vieraan pääoman määrä kasvaa merkittävästi, mikä voi lisätä liiketaloudellisia riskejä, mutta toisaalta mahdollistavat korkeamman kassavirran tarkastelujakson lopussa. Kunnossapitopainotteisessa skenaariossa vieraan pääoman määrä on matala, mutta kassavirta myös pysyy matalana tarkastelujakson loppuun asti.

Carbon pricing and its effect on company profitability

In order to reach the 2°C climate target, the carbon price should rise significantly in order for it to be financially rewarding for companies to reduce their emissions. This research aims to find how a significant increase in the carbon price would affect the profitability of companies. Prior research has not found consensus on how regulatory policies affect companies. This research looks at profitability factors of carbon pricing through a mix of related issues such as the carbon risk, carbon pricing mechanisms and cost pass-through of additional costs. The research is quantitative and examines financial data and emissions data regarding scope 1 and scope 2 emissions on 328 European companies. The data analysis method utilised is a sensitivity analysis conducted as a scenario analysis. Different price increases and cost pass-through rates are tested to see how company profitability is affected. As the companies are distributed between 9 sectors and 53 industries, the results vary. The industries that are found to be affected by an increase in carbon pricing show drastic negative changes in profitability. The results complement prior research identifying the most carbon-intensive industries, but also provide some new insights on industries that may be affected by carbon pricing. Industries related to manufacturing, electricity and energy are partly significantly impacted, but also industries related to tourism and food show potential signs of impact when an increased carbon price is introduced.

Decision‐Making in Public Good Dilemmas: Theory and Agent‐Based Simulation

In many real world contexts individuals find themselves in situations where they have to decide between options of behaviour that serve a collective purpose or behaviours which satisfy one’s private interests, ignoring the collective. In some cases the underlying social dilemma (Dawes, 1980) is solved and we observe collective action (Olson, 1965). In others social mobilisation is unsuccessful. The central topic of social dilemma research is the identification and understanding of mechanisms which yield to the observed cooperation and therefore resolve the social dilemma. It is the purpose of this thesis to contribute this research field for the case of public good dilemmas. To do so, existing work that is relevant to this problem domain is reviewed and a set of mandatory requirements is derived which guide theory and method development of the thesis. In particular, the thesis focusses on dynamic processes of social mobilisation which can foster or inhibit collective action. The basic understanding is that success or failure of the required process of social mobilisation is determined by heterogeneous individual preferences of the members of a providing group, the social structure in which the acting individuals are contained, and the embedding of the individuals in economic, political, biophysical, or other external contexts. To account for these aspects and for the involved dynamics the methodical approach of the thesis is computer simulation, in particular agent-based modelling and simulation of social systems. Particularly conductive are agent models which ground the simulation of human behaviour in suitable psychological theories of action. The thesis develops the action theory HAPPenInGS (Heterogeneous Agents Providing Public Goods) and demonstrates its embedding into different agent-based simulations. The thesis substantiates the particular added value of the methodical approach: Starting out from a theory of individual behaviour, in simulations the emergence of collective patterns of behaviour becomes observable. In addition, the underlying collective dynamics may be scrutinised and assessed by scenario analysis. The results of such experiments reveal insights on processes of social mobilisation which go beyond classical empirical approaches and yield policy recommendations on promising intervention measures in particular.

The first five years of the EU Impact Assessment system: a risk economics perspective on gaps between rationale and practice

In 2003 the European Commission started using Impact Assessment (IA) as the main empirical basis for its major policy proposals. The aim was to systematically assess ex ante the economic, social and environmental impacts of EU policy proposals. In parallel, research proliferated in search for theoretical grounds for IAs and in an attempt to evaluate empirically the performance of the first sets of IAs produced by the European Commission. This paper combines conceptual and evaluative studies carried out in the first five years of EU IAs. It concludes that the great discrepancy between rationale and practice calls for a different theoretical focus and a higher emphasis on evaluating empirically crucial risk economics aspects of IAs, such as the value of statistical life, price of carbon, the integration of macroeconomic modelling and scenario analysis.

Using proxies to calculate the carbon impact of investment into electricity network assets

Replacement and upgrading of assets in the electricity network requires financial investment for the distribution and transmission utilities. The replacement and upgrading of network assets also represents an emissions impact due to the carbon embodied in the materials used to manufacture network assets. This paper uses investment and asset data for the GB system for 2015-2023 to assess the suitability of using a proxy with peak demand data and network investment data to calculate the carbon impacts of network investments. The proxies are calculated on a regional basis and applied to calculate the embodied carbon associated with current network assets by DNO region. The proxies are also applied to peak demand data across the 2015-2023 period to estimate the expected levels of embodied carbon that will be associated with network investment during this period. The suitability of these proxies in different contexts are then discussed, along with initial scenario analysis to calculate the impact of avoiding or deferring network investments through distributed generation projects. The proxies were found to be effective in estimating the total embodied carbon of electricity system investment in order to compare investment strategies in different regions of the GB network.

Comparativo de metodologias de mensuração de VAR para o mercado financeiro brasileiro

Várias metodologias de mensuração de risco de mercado foram desenvolvidas e aprimoradas ao longo das últimas décadas. Enquanto algumas metodologias usam abordagens não-paramétricas, outras usam paramétricas. Algumas metodologias são mais teóricas, enquanto outras são mais práticas, usando recursos computacionais através de simulações. Enquanto algumas metodologias preservam sua originalidade, outras metodologias têm abordagens híbridas, juntando características de 2 ou mais metodologias. Neste trabalho, fizemos uma comparação de metodologias de mensuração de risco de mercado para o mercado financeiro brasileiro. Avaliamos os resultados das metodologias não-paramétricas e paramétricas de mensuração de VaR aplicados em uma carteira de renda fixa, renda variável e renda mista durante o período de 2000 a 2006. As metodologias não-paramétricas avaliadas foram: Simulação Histórica pesos fixos, Simulação Histórica Antitética pesos fixos, Simulação Histórica exponencial e Análise de Cenário. E as metodologias paramétricas avaliadas foram: VaR Delta-Normal pesos fixos, VaR Delta-Normal exponencial (EWMA), Simulação de Monte Carlo pesos fixos e Simulação de Monte Carlo exponencial. A comparação destas metodologias foi feita com base em medidas estatísticas de conservadorismo, precisão e eficiência.

Ensaios em gestão de risco e regulação bancária

Esta tese é constituída por três ensaios. O primeiro ensaio analisa a informação pública disponível sobre o risco das carteiras de crédito dos bancos brasileiros, sendo dividido em dois capítulos. O primeiro analisa a limitação da informação pública disponibilizada pelos bancos e pelo Banco Central, quando comparada a informação gerencial disponível internamente pelos bancos. Concluiu-se que existe espaço para o aumento da transparência na divulgação das informações, fato que vem ocorrendo gradativamente no Brasil através de novas normas relacionadas ao Pilar 3 de Basileia II e à divulgação de informações mais detalhas pelo Bacen, como, por exemplo, aquelas do “Top50” . A segunda parte do primeiro ensaio mostra a discrepância entre o índice de inadimplência contábil (NPL) e a probabilidade de inadimplência (PD) e também discute a relação entre provisão e perda esperada. Através da utilização de matrizes de migração e de uma simulação baseada na sobreposição de safras de carteira de crédito de grandes bancos, concluiu-se que o índice de inadimplência subestima a PD e que a provisão constituída pelos bancos é menor que a perda esperada do SFN. O segundo ensaio relaciona a gestão de risco à discriminação de preço. Foi desenvolvido um modelo que consiste em um duopólio de Cournot em um mercado de crédito de varejo, em que os bancos podem realizar discriminação de terceiro grau. Neste modelo, os potenciais tomadores de crédito podem ser de dois tipos, de baixo ou de alto risco, sendo que tomadores de baixo risco possuem demanda mais elástica. Segundo o modelo, se o custo para observar o tipo do cliente for alto, a estratégia dos bancos será não discriminar (pooling equilibrium). Mas, se este custo for suficientemente baixo, será ótimo para os bancos cobrarem taxas diferentes para cada grupo. É argumentado que o Acordo de Basileia II funcionou como um choque exógeno que deslocou o equilíbrio para uma situação com maior discriminação. O terceiro ensaio é divido em dois capítulos. O primeiro discute a aplicação dos conceitos de probabilidade subjetiva e incerteza Knigthiana a modelos de VaR e a importância da avaliação do “risco de modelo”, que compreende os riscos de estimação, especificação e identificação. O ensaio propõe que a metodologia dos “quatro elementos” de risco operacional (dados internos, externos, ambiente de negócios e cenários) seja estendida à mensuração de outros riscos (risco de mercado e risco de crédito). A segunda parte deste último ensaio trata da aplicação do elemento análise de cenários para a mensuração da volatilidade condicional nas datas de divulgação econômica relevante, especificamente nos dias de reuniões do Copom.

Desafios na avaliação de incorporadoras imobiliárias brasileiras de capital aberto

Primeiramente, além de fazer análise resumida do setor de incorporação imobiliária brasileiro, a dissertação argumenta porque métodos tradicionais de valuation são inapropriados para avaliar incorporadoras e construtoras brasileiras. Entre os pontos levantados estão: as regras contábeis do setor, o modelo de negócios de incorporação no Brasil, a natureza cíclica do negócio, o descasamento entre geração de caixa e reconhecimento de receitas, e o tipo de informação disponibilizada pelas empresas listadas na bolsa de valores. Em seguida, o estudo sugere um método mais adequado, partindo de um conceito de Soma das Partes, onde calcula-se separadamente o valor líquido dos ativos, do banco de terrenos e dos projetos futuros. Metodologias semelhantes começaram a ser utilizadas por alguns bancos de investimento em anos recentes, porém nunca foram discutidas de forma mais acadêmica. Argumenta-se que o método proposto parece adequado, pois não só produz resultados compatíveis com a intuição econômica, como também permite que o usuário faça análises de sensibilidade de forma simples e direta. Finalmente, ao comparar a evolução no período entre 2008 e 2014 dos preços das ações de algumas incorporadoras imobiliárias listadas, discute-se quais ações estariam subavaliadas e quais estariam superavaliadas.