Cities without land markets : location and land use in the socialist city

The authors describe the structure of Russian cities after 70 years of Soviet development. This is the longest socialist experience on record and its results are of paramount interest to urban economists. In the absence of price signals and of economic incentives to recycle land over time, the administrative-command process has led to a startling pattern of land use. It's central feature is a perverse population density gradient, which rises as one moves away from the center of the city. (Driving from the center of Moscow, one passes through rings of Stalin-era, Krushchev-era, and then Brezhnev-era flats.) The Soviet city is also characterized by rusting factories in prime locations and high density residential areas in distant suburbs. Such a structure tends to maximize the economic and social inefficiency of the socialist city as well as its environmental ill effects. With market-oriented urban reform, real estate prices are now emerging. Their negative gradient signals again the massive scale of past land misallocation in the Soviet city. The experience of socialist cities is also a powerful warning about the ill effects of public ownership and the allocation of land to achieve the"socialization"of land rents.Environmental Economics&Policies,Municipal Financial Management,Banks&Banking Reform,National Urban Development Policies&Strategies,Urban Housing and Land Settlements,Environmental Economics&Policies,Banks&Banking Reform,Municipal Financial Management,Urban Housing and Land Settlements,National Urban Development Policies&Strategies

Analyzing building height restrictions - predicted impacts, welfare costs, and a case study of Bangalore, India

The authors analyze the effects of building height restrictions, providing a concrete welfare cost estimate for the city of Bangalore, India. Relying on several theoretical results, their analysis shows that the welfare cost imposed on its residents by Bangalore's building height restriction ranges between 3 and 6 percent of household consumption. This burden represents a significant share of individual resources, and its presence may push many marginal households into poverty.Public Health Promotion,Environmental Economics&Policies,Public Sector Economics&Finance,Economic Theory&Research,Banks&Banking Reform,Economic Theory&Research,Environmental Economics&Policies,Public Sector Economics&Finance,Urban Housing,Banks&Banking Reform

Toward Efficient Urban Form in China

Land efficiency in urban China is examined, using Tianjin as a case study, from the perspective of agricultural land conservation; reduction in energy use, conventional pollution, and greenhouse gas emissions; and human time savings. Issues addressed include increased scatter on the periphery, over-consumption of industrial land, over fiscal dependence on land sales, and loss of valuable agricultural and environmental services land. Policy implications discussed include the need for greater variation in urban densities (leveraging already high densities in urban China – one-third the global median), less broad-brush agricultural land conservation policies, higher floor area ratios near rapid transit stations, etc.China, land conversion, land efficiency, land use policy, urban density

Working with the market : a new approach to reducing urban slums in India

This paper examines the policy options for India as it seeks to improve living conditions of the poor on a large scale and reduce the population in slums. Addressing the problem requires first a diagnosis of the market at the city level and a recognition that government interventions, rather than thwarting the operations of the market, should seek to make it operate better. This can substantially reduce the subsidies required to assist low income households to attain decent living standards. The authors show that government programs that directly provide housing would cost, in conservative estimates, about of 20 to 30 percent of GDP, and cannot solve a problem on the scale of India's. Using two case studies, for Mumbai and Ahmedabad, the paper offers a critical examination of government policies that shape the real estate market and make formal housing unaffordable for a large part of the population. It illustrates how simple city level market diagnostics can be used to identify policy changes and design smaller assistance programs that can reach the poor. The linkage between chronic infrastructure backlogs and policies makes housing unnecessarily expensive. Increasing the carrying capacity of cities is essential for gaining acceptance of real estate policies suited to Indian cities. The authors propose approaches for funding major investments to achieve this.Housing&Human Habitats,Urban Housing,Public Sector Management and Reform,Regional Governance,Urban Governance and Management

Inside the metropolis: the articulation of Spanish metropolitan areas into local labor markets

In this article, we delimit local labor markets (LLMs) in order to analyze the internal structure and organization of Spanish metropolitan areas. LLMs are defined as self-contained and cohesive areas in terms of commuting flows. Unlike the conventional approach to polycentrism based on the analysis of commuting flows that begins with the identification of subcenters, our analytical strategy does assume any a priori structure and is compatible with the relationship between places of work and residence having other locational and spatial organization patterns. The analysis is performed at three different scales of detail linked to three self-containment levels for the LLMs delimited and three population groups (total, males, and females). The results show that metropolitan areas are complex, fuzzy, multidimensional spaces, where the conditions of spatial organization are manifested in different ways depending on the parameters and variables used.This work was supported by the Spanish Ministry of Economy and Competitiveness [grant numbers CSO2011-29943-C03-01, CSO2011-29943-C03-02, CSO2014-55780-C3-1-P, and CSO2014-55780-C3-2-P (National R&D&I Plan)]