The Effects of Land Registration on Financial Development and Economic Growth


Book Description

A theoretical framework to guide empirical analysis of how land registration affects financial development and economic growth.The author develops a theoretical framework to guide empirical analysis of how land registration affects financial development and economic growth.Most conceptual approaches investigate the effects of land registration on only one sector, nut land registration is commonly observed to affect not only other sectors but the economy as a whole.The author builds on the well-tested link between secure land ownership and farm productivity, adding to the framework theory about positive information and transaction costs. To map the relationship between land registration and financial development and economic growth, the framework links:-Land tenure security and investment incentives.-Land title, collateral, and credit.-Land markets, transactions, and efficiency.-Labor mobility and efficiency.-Land liquidity, deposit mobilization, and investment.Empirical results from applying the framework to a single case study - of Thailand, described in a separate paper - suggest that the framework is sound.This paper - a product of the Rural Development and Natural Resources Sector Unit, East Asia and Pacific Region - is part of a larger effort in the region to increase the effectiveness of country assistance strategies in the area of property rights and economic development.







How Land Registration Affects Financial Development and Economic Growth in Thailand


Book Description

Land registration in Thailand has significant positive long-run effects on financial development and economic growth.Using an economywide conceptual framework, the author analyzes how land registration affects financial development and economic growth in Thailand.He uses contemporary techniques, such as error correction and co-integration, to deal with such problems as time-series data not being stationary. He also uses the auto-regressive distributed lag model to analyze long lags in output response to changes in land registration.His key findings:-Land titling has significant positive long-run effects on financial development.-Economic growth responds to land titling following a J curve, by first registering a fall and recovering gradually, thereafter to post a long, strong rally.-The quality of land registration services, as measured by public spending on land registration, has strongly positive and significant long-run effects on economic growth.This paper - a product of the Rural Development and Natural Resources Sector Unit, East Asia and Pacific Region - is part of a larger effort in the region to increase the effectiveness of country assistance strategies in the area of property rights and economic development. The author may be contacted at [email protected].







Financial Development and Economic Growth


Book Description

This paper examines the empirical relationship between long–run growth and the degree of financial development, proxied by the ratio of bank credit to the private sector as a fraction of GDP. We find that this proxy enters significantly and with a positive sign in growth regressions on a large cross–country sample, but with a negative sign using panel data for Latin America. Our findings suggest that the main channel of transmission from financial development to growth is the efficiency of investment, rather than its volume. We also present a model where the negative correlation between financial intermediation and growth results from financial liberalization in a poor regulatory environment.




When is Gowth Pro-poor?


Book Description

Abstract: December 1999 - Nonfarm economic growth in India had very different effects on poverty in different states. Nonfarm growth was least effective at reducing poverty in states where initial conditions were poor in terms of rural development and human resources. Among initial conditions conducive to pro-poor growth, literacy plays a notably positive role. Ravallion and Datt use 20 household surveys for India's 15 major states, spanning 1960-94, to study how initial conditions and the sectoral composition of economic growth interact to influence how much economic growth reduced poverty. The elasticities of measured poverty to farm yields and development spending did not differ significantly across states. But the elasticities of poverty to (urban and rural) nonfarm output varied appreciably, and the differences were quantitatively important to the overall rate of poverty reduction. States with initially lower farm productivity, lower rural living standards relative to those in urban areas, and lower literacy experienced a less pro-poor growth process. This paper - a joint product of Poverty and Human Resources, Development Research Group, and the Poverty Reduction and Economic Management Sector Unit, South Asia Region - is part of a larger effort in the Bank to better understand the conditions required for pro-poor growth. The authors may be contacted at [email protected] or [email protected].




Opportunities for Improving Environmental Compliance in Mexico


Book Description

"One of the main reasons for noncompliant firms' poor environmental performance is the information gap on Mexico's environmental policy. Pollution control could be improved through systematically fuller communication targeted to noncompliant firms-- including more environmental education, especially of senior managers"--Cover.




Infrastructure's Contribution to Aggregate Output


Book Description

"Of the major kinds of physical infrastructure, electricity generating capacity has roughly the same marginal productivity as physical capital as a whole. So have roads-plus-rail, globally and in lower-income countries. Telephones, however, and transport routes in higher-income countries, have higher marginal productivity than other kinds of capital"--Cover.




True World Income Distribution, 1988 and 1993


Book Description

"Inequality in world income is very high, according to household surveys, more because of differences between mean country incomes than because of inequality within countries. World inequality increased between 1988 and 1993, driven by slower growth in rural per capita incomes in populous Asian countries (Bangladesh, China, and India) than in large, rich OECD countries, and by increasing income differences between urban China on the one hand and rural China and rural India on the other"--Cover.