Climate change and agriculture: theory and application of mitigation policies

Agriculture’s contribution to climate change is controversial as it is a significant source of greenhouse gases but also a sink of carbon. Hence its economic and technological potential to mitigate climate change have been argued to be noteworthy. However, social profitability of emission mitigation is a result from factors among emission reductions such as surface water quality impact or profit from production. Consequently, to value comprehensive results of agricultural climate emission mitigation practices, these co-effects to environment and economics should be taken into account. The objective of this thesis was to develop an integrated economic and ecological model to analyse the social welfare of crop cultivation in Finland on distinctive cultivation technologies, conventional tillage and conservation tillage (no-till). Further, we ask whether it would be privately or socially profitable to allocate some of barley cultivation for alternative land use, such as green set-aside or afforestation, when production costs, GHG’s and water quality impacts are taken into account. In the theoretical framework we depict the optimal input use and land allocation choices in terms of environmental impacts and profit from production and derive the optimal tax and payment policies for climate and water quality friendly land allocation. The empirical application of the model uses Finnish data about production cost and profit structure and environmental impacts. According to our results, given emission mitigation practices are not self-evidently beneficial for farmers or society. On the contrary, in some cases alternative land allocation could even reduce social welfare, profiting conventional crop cultivation. This is the case regarding mineral soils such as clay and silt soils. On organic agricultural soils, climate mitigation practices, in this case afforestation and green fallow give more promising results, decreasing climate emissions and nutrient runoff to water systems. No-till technology does not seem to profit climate mitigation although it does decrease other environmental impacts. Nevertheless, the data behind climate emission mitigation practices impact to production and climate is limited and partly contradictory. More specific experiment studies on interaction of emission mitigation practices and environment would be needed. Further study would be important. Particularly area specific production and environmental factors and also food security and safety and socio-economic impacts should be taken into account.

The Pricing of American Put Options on Stock with Dividends

Pricing American put options on dividend-paying stocks has largely been ignored in the option pricing literature because the problem is mathematically complex and valuation usually resorts to computationally expensive and impractical pricing applications. This paper computed a simulation study, using two different approximation methods for the valuation of American put options on a stock with known discrete dividend payments. This to find out if there were pricing errors and to find out which could be the most usable method for practical users. The option pricing models used in the study was the dividend approximation by Blomeyer (1986) and the one by Barone-Adesi and Whaley (1988). The study showed that the approximation method by Blomeyer worked satisfactory for most situations, but some errors occur for longer times to the dividend payment, for smaller dividends and for in-the-money options. The approximation method by Barone-Adesi and Whaley worked well for in-the-money options and at-the-money options, but had serious pricing errors for out-of-the-money options. The conclusion of the study is that a combination of the both methods might be preferable to any single model.

Helsingin seudun ruuhkamaksut yritysnäkökulmasta

Congestion of traffic is one of the biggest challenges for urban cities in global perspective. Car traffic and traffic jams are causing major problems and the congestion is predicted to worsen in the future. The greenhouse effect has caused a severe threat to the environment globally. On the other hand from the point of view of companies and other economic parties time and money has been lost because of the congestion of traffic. This work studies some possible traffic payment systems for the Helsinki Metropolitan area introducing three optional models and concentrating on the point of view of the economic parties. Central part of this work is formed by a research questionnaire, which was conducted among companies located in the Helsinki area and where more than 1000 responses were gained. The study researches the approaches of the respondents to the area s current traffic system, its development and urban congestion pricing and the answers are analyzed according to the size, industry and location of the companies. The economic aspect is studied by economic theory of industrial location and by emphasizing the meaning of smoothly running traffic for the economic world. Chapter three presents detailed information about traffic congestion, how today s car-centered society has been formed, what concrete things congestion means for economic life and how traffic congestion can be limited. Theoretically it is examined how urban traffic payment systems are working using examples from London and Stockholm where successful traffic payment experiences exist. The literature review analyzes urban development, increasing car traffic and Helsinki Metropolitan area on a structural point of view. The fourth chapter introduces a case study, which concentrates on Helsinki Metropolitan area s different structures, the congestion situation in Helsinki and the introduction of the traffic payment system clarification. Currently the region is experiencing a phase where big changes are happening in the planning of traffic. The traffic systems are being unified to consider the whole region in the future. Also different advices for the increasing traffic congestion problems are needed. Chapter five concentrates on the questionnaire and theme interviews and introduces the research findings. The respondents overall opinion of the traffic payments is quite skeptical. There were some regional differences found and especially taxi, bus and cargo and transit enterprises shared the most negative opinion. Economic parties were worried especially because of the traffic congestion is causing harm for the business travel and the employees traveling to and from work. According to the respondents the best option from the traffic payment models was the ring model where the payment places would be situated inside the Ring Road III. Both the company representatives and other key decision makers see public transportation as a good and powerful tool to decrease traffic congestion. The only question, which remains, is where to find investors willing to invest in public transportation if economic representatives do not believe in pricing the traffic by for example traffic payment systems.

Compression of Weighted Graphs

We propose to compress weighted graphs (networks), motivated by the observation that large networks of social, biological, or other relations can be complex to handle and visualize. In the process also known as graph simplication, nodes and (unweighted) edges are grouped to supernodes and superedges, respectively, to obtain a smaller graph. We propose models and algorithms for weighted graphs. The interpretation (i.e. decompression) of a compressed, weighted graph is that a pair of original nodes is connected by an edge if their supernodes are connected by one, and that the weight of an edge is approximated to be the weight of the superedge. The compression problem now consists of choosing supernodes, superedges, and superedge weights so that the approximation error is minimized while the amount of compression is maximized. In this paper, we formulate this task as the 'simple weighted graph compression problem'. We then propose a much wider class of tasks under the name of 'generalized weighted graph compression problem'. The generalized task extends the optimization to preserve longer-range connectivities between nodes, not just individual edge weights. We study the properties of these problems and propose a range of algorithms to solve them, with dierent balances between complexity and quality of the result. We evaluate the problems and algorithms experimentally on real networks. The results indicate that weighted graphs can be compressed efficiently with relatively little compression error.