Urban rent generation: The esenkent case in Istanbul

An increasing proportion of the rapidly growing world population is attempting to satisfy its economic and social needs in an urban context. The migration of people into cities results in urban growth. As a result of this process of urban growth, there is an increasing demand for urban land. Within urban areas land use is subject to fewer changes. Because instant increase in the supply of land in central areas is impossible, there is an increase in the spatial extent of the central area through an invasion of the surrounding zone. Therefore, there is a need to transform non-urban areas to urban areas. This transformation generates urban rents in those newly created urban areas and also re-forms all urban rents in the city. Considering the pace of urbanization in Turkey, it is seen that most of the largest cities are continuing to grow very rapidly. Istanbul is the largest city in Turkey and a population growth continues in Istanbul because of the immigration. Therefore Istanbul is growing in terms of population and also in terms of urban sprawl. In this research, as a good example of the urban sprawl in Istanbul a residential area, which is called Esenkent, will be examined in the context of the generation of rent. As an example, Esenkent is important because the land on which Esenkent is established was expropriated by the local municipality. Therefore, there is a public intervention on urban rents. It means that the structure of property on land was changed. Briefly, urban rent generation in the residential area called Esenkent will be examined on the basis of private property rights and the price changes of properties. Our analysis will depend on the data from official land registers, real estate advertisements on newspapers and the interviews with the real estate agents.

Consensus, institutions, and supply response : the political economy of agricultural reforms in Sub-Saharan Africa

During the late 1980s and the 1990s, most countries in Sub-Saharan Africa implemented agricultural policy reforms, along with national political and economic reforms. The agricultural reforms focused on opening up processing and marketing activities to increased competition and eliminating export taxes and restrictions to improve producer incentives. In eight of nine country/commodity case studies analyzed in this paper, output responded positively in the short run to the reforms. In many cases, however, the initial supply response was not sustained in the face of subsequent shocks. The studies suggest that stakeholder consensus on the distribution of sector-specific rents is a key variable affecting the sustainability of supply responses. Agricultural sector reforms lead to large changes in income distribution. The greater the acceptance of the distribution of rents following the reforms, the better sectors are able to accommodate subsequent shocks. In cases where the initial consensus on the distribution of rents is weak, shocks lead to reform reversals in some cases or an inability to design necessary support institutions in others. The diversity in outcomes across similar products and countries suggests it is possible to achieve sector and local level results that differ from national ones.Markets and Market Access,Crops&Crop Management Systems,Emerging Markets,Economic Theory&Research,Labor Policies

INCORPORATING THE 1990 FARM BILL INTO FARM-LEVEL DECISION MODELS: AN APPLICATION TO COTTON FARMS: COMMENT

Crop Production/Industries,

AN ECONOMIC ANALYSIS OF THE EMISSION REDUCTION MARKET SYSTEM IN CHICAGO

A mixed-integer programming model is used to investigate economic impacts of the permit trading market in Chicago and determine the equilibrium price. Unlike previous studies, the model determines unit pollution abatement cost endogenously depending on firms' technology adoption decisions. A sequential trading process is used to simulate firms' behavior under incomplete information. The results show that average shadow prices, a counterpart of conventional shadow prices in discrete problems, slightly underestimate the equilibrium prices. Moreover, the model predicts an over-supply of permits for the first two trading seasons.mixed-integer programming, ERMS, average shadow price, pollution permit, Environmental Economics and Policy,

EFFICIENCY LOSS AND TRADABLE PERMITS

This research presents a price endogenous mathematical programming model that incorporates the independent, optimizing behavior of individual participants to estimate the possible efficiency loss of a newly developed permit trading market for nitrogen oxides (NOx) control in southern Taiwan. The result shows that when control equipment decisions are indivisible, an efficiency loss may arise due to over-investment. The efficiency loss found here is not because of a bilateral trading process and/or insufficient information for finding trading partners, but it is due to not having full control ability of the installed equipment.Environmental Economics and Policy,

The Economic Potential of Second-Generation Biofuels: Implications for Social Welfare, Land Use and Greenhouse Gas Emissions in Illinois

This paper develops a dynamic micro-economic land use model that maximizes social welfare and internalizes externality from greenhouse gas emissions to obtain the optimal land use allocation for traditional row crops and bioenergy crops (corn stover, miscanthus and switchgrass), the mix of cellulosic feedstocks and fuel and food prices. We use this carbon tax policy as a benchmark to compare the implications of existing biofuel policies on land use, social welfare and the environment for the 2007-2022 period. The model is operationalized using yields of perennial grasses obtained from a biophysical model, county level data on yields of traditional row crops and production costs for row crops and bioenergy crops in Illinois. We show that a carbon tax policy that is directly related to carbon intensity of fuels can generate the highest social welfare among alternative policy scenarios. The existing ethanol tax credits result in substantial deadweight losses and higher GHG emissions as compared to the baseline. Ethanol blending mandates with subsidies lead to further welfare losses and higher GHG emissions. To meet advanced biofuel blending mandates, corn stover and miscanthus are used but the mix of viable cellulosic feedstocks varies spatially and temporally. Corn stover is viable mainly in central and northern Illinois while miscanthus acres are primarily concentrated on southern Illinois. The blending mandates lead to a significant shift in acreage from soybeans and pasture to corn and a change in crop rotation and tillage practices.cellulosic ethanol, land use, social welfare, greenhouse gas emissions, Land Economics/Use, Resource /Energy Economics and Policy, Q42, Q24,

Hierarchical Multi-resolution Mesh Networks for Brain Decoding

We propose a new framework, called Hierarchical Multi-resolution Mesh Networks (HMMNs), which establishes a set of brain networks at multiple time resolutions of fMRI signal to represent the underlying cognitive process. The suggested framework, first, decomposes the fMRI signal into various frequency subbands using wavelet transforms. Then, a brain network, called mesh network, is formed at each subband by ensembling a set of local meshes. The locality around each anatomic region is defined with respect to a neighborhood system based on functional connectivity. The arc weights of a mesh are estimated by ridge regression formed among the average region time series. In the final step, the adjacency matrices of mesh networks obtained at different subbands are ensembled for brain decoding under a hierarchical learning architecture, called, fuzzy stacked generalization (FSG). Our results on Human Connectome Project task-fMRI dataset reflect that the suggested HMMN model can successfully discriminate tasks by extracting complementary information obtained from mesh arc weights of multiple subbands. We study the topological properties of the mesh networks at different resolutions using the network measures, namely, node degree, node strength, betweenness centrality and global efficiency; and investigate the connectivity of anatomic regions, during a cognitive task. We observe significant variations among the network topologies obtained for different subbands. We, also, analyze the diversity properties of classifier ensemble, trained by the mesh networks in multiple subbands and observe that the classifiers in the ensemble collaborate with each other to fuse the complementary information freed at each subband. We conclude that the fMRI data, recorded during a cognitive task, embed diverse information across the anatomic regions at each resolution.Comment: 18 page

ENVIRONMENT, EQUITY AND WATERSHED MANAGEMENT

This paper presents a methodology for incorporating environmental and social equity objectives in an economic analysis of watershed management. Empirical results indicate that restricting agricultural pollution notably increases farm costs. The equity objective also adversely affects economic efficiency, but the cost increase due to social equity is less significant.Environmental Economics and Policy,