scholarly journals TOKI's impact on transaction costs in planning and land development: Looking at large-scale housing projects in Istanbul's Avcılar- Ispartakule region

2022 ◽  
Vol 119 ◽  
pp. 102492
Author(s):  
Nuray Colak Tatlı ◽  
Sevkiye Sence Turk ◽  
Nuray Colak Tatlı
Author(s):  
Samira Nuhanovic-Ribic ◽  
Ermanno C. Tortia ◽  
Vladislav Valentinov

Over the last decades, agricultural co-operatives grew substantially in most developed and developing countries, often reaching dominant market positions. We inquire into the economic mechanism behind this growth, by elaborating on the relation between co-operative identity and co-operative benefits. We highlight the ability of agricultural co-operatives to co-ordinate large-scale production, to monitor work contributions and product quality, and to ensure economic independence of farmer members. Following the two principal streams in the economic literature, we distinguish between the conceptions of agricultural co-operatives as units of vertical integration and as firms characterized by common governance of collective entrepreneurial action and ability to reduce transaction costs and economic risk. We describe the financial and governance limitations of agricultural co-operatives while taking account of new co-operative models presenting institutional tools introduced to overcome these limitations. We conclude by suggesting directions for enhancing the role of co-operatives in agricultural and rural development.


Author(s):  
Andrey Belov ◽  
Andrey Rybin

Based on the records of management documentation, periodicals, memoirs of contemporaries, the article presents an overall picture of the daily life of virgin lands (tselina). The study showed that upon arrival to the new land volunteers were often forced to live in the severe conditions of lack of infrastructure. They had to live in tents or field trailers. At the same time, settlers themselves could improve their living conditions by building state-farm (sovkhoz) settlements. Such work required a lot of effort. The average working time was 12–14 hours a day, regardless of the age, length of service and experience of a volunteer who arrived to the virgin lands. Earnings ranged between 500–1400 rubles per month in average. Food supply system in the new land development areas was essential to support the physical strength of the volunteers. However, as contemporaries remember, the food was unsatisfactory. The diet, as a rule, was monotonous, in view of which workers often staged strikes. In the end, gradually the infrastructure in the virgin lands acquired the level usual for the Central Russia. In particular, leisure time outside the virgin lands was spent in cinemas, clubs, libraries, amateur circles, holding sports competitions. However, social security was in poor condition as well as medical care. Not all medical centers worked; there was a constant lack of doctors, which led to increased injuries. Many volunteers who came to the new lands had no experience in agriculture – in this regard, medicine played an important role in the daily life of virgin lands. New settlers also faced a number of problems, which led to disruption of the usual daily life. In particular, cases of hooliganism caused by alcoholism, fights with lethal outcomes were frequent in the new lands. The indigenous population was often hostile to visitors. In addition, the residents of virgin lands were harmed by the military, who conducted nuclear weapons tests in the vicinity of new farms. In the end, the new settlers were able to cope with the difficulties they were facing and in a short time established a large-scale production of grain crops. Due to this, the country was able to temporarily overcome the food issue that had become urgent in the post-war period. Key words: living conditions, working process, wages, leisure, daily life, virgin and fallow lands.


Author(s):  
P.W. Smallfield

Few now realise the problems of marginal land development which confronted land improvers 30 years ago. Now we are only half satisfied if we can establish productive pastures of perennial ryegrass and white clover; we look for something better. Then the problem was whether perennial ryegrass was worth trying for or should pastures on gumland be confined to species which appeared likely to thrive, such as browntop, chewings fescue, paspalum, kikuyu, and Lotus nzajor and white clover. If the pastures were confined to this latter group of species, there was little chance of economic, large-scale development, for production costs would not be matched by revenue.


Author(s):  
Ryosuke Abe ◽  
Kay W. Axhausen

This study estimates the impact of major road supply on individual travel time expenditures (TTEs) using data that cover 30-year variations in transportation infrastructure and travel behavior. The impacts of the supply of road and rail infrastructure are estimated with a data set that combines records of large-scale household travel surveys in the Tokyo metropolitan area conducted in 1978, 1988, 1998, and 2008. Linear and Tobit models of individual TTEs are estimated by following the behavior of birth cohorts over the 30-year period. The models incorporate the changes in transportation infrastructure, measured as lane kilometers of two levels of major road stock and vehicle kilometers of urban rail service. The results show significant negative effects of lane kilometers for higher-level and lower-level major roads on the TTEs for all travel purposes and for commuting, after controlling for socioeconomic backgrounds and generations of individuals. This study discusses that, in Tokyo, the estimated effect is more likely to reflect the effect of a major road network per se on individual TTEs than the (indirect) effect of major road supply on individual TTEs working through land development activities (i.e., induced car travel demand). For example, the caveat is that actual road investment decisions still need to consider the induced component of road traffic in addition to the (direct) effect that is estimated in this study.


2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Jaime Díaz-Pacheco ◽  
Juan Carlos García-Palomares

The middle of 2007 saw the beginning of a worldwide financial crisis that led to a sharp reduction in investment based on construction and urban development. This new situation is generating a new process, characterised by a slowdown that has almost reached a standstill when compared with the frenzied development of previous decades. In order to analyse these processes, this study examines urban land use changes and the urban growth rate and spatial dynamics of the metropolitan region of Madrid. The analysis has been carried out on a large scale between two periods (2000–2006 and 2006–2009) using a regional land use geodatabase. The results show the changes in the urban land use dynamics that took place over these two periods that could characterise the cities of Mediterranean Europe, where contrarily to the general pattern in Europe built-up areas are combining scattered built-up areas with new aggregated compact developments.


2019 ◽  
Vol 9 (22) ◽  
pp. 4912 ◽  
Author(s):  
Pijush Samui ◽  
Nhat-Duc Hoang ◽  
Viet-Ha Nhu ◽  
My-Linh Nguyen ◽  
Phuong Thao Thi Ngo ◽  
...  

In the design phase of housing projects, predicting the settlement of soil layers beneath the buildings requires the estimation of the coefficient of soil compression. This study proposes a low-cost, fast, and reliable alternative for estimating this soil parameter utilizing a hybrid metaheuristic optimized neural network (NN). An integrated method of artificial bee colony (ABC) and the Levenberg–Marquardt (LM) algorithm is put forward to train the NN inference model. The model is capable of delivering the response variable of soil compression coefficient a set of physical properties of soil. A large-scale real-life urban project at Hai Phong city (Vietnam) was selected as a case study. Accordingly, a dataset of 441 samples with their corresponding testing values of the compression coefficient has been collected and prepared during the construction phase. Experimental outcomes confirm that the proposed NN model with the hybrid ABC-LM training algorithm has attained the highly accurate estimation of the soil compression coefficient with root mean square error (RMSE) = 0.008, mean absolute percentage error (MAPE) = 10.180%, and coefficient of determination (R2) = 0.864. Thus, the proposed machine learning method can be a promising tool for geotechnical engineers in the design phase of housing projects.


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