Poverty reduction without economic growth? : Explaining Brazil's poverty dynamics, 1985-2004

Brazil's slow pace of poverty reduction between the mid-1980s and the mid-2000s reflects both low growth and a low growth elasticity of poverty reduction. Using GDP data disaggregated by state and sector for a twenty-year period, this paper finds considerable variation in the poverty-reducing effectiveness of growth—across sectors, across space, and over time. Growth in the services sector was substantially more poverty-reducing than was growth in either agriculture or industry. Growth in industry had different effects on poverty across different states and its impact varied with initial conditions related to human development and worker empowerment. But because there was so little of it, economic growth actually played a relatively small role in accounting for Brazil's poverty reduction between 1985 and 2004. The taming of hyperinflation (in 1994) and a substantial expansion in social security and social assistance transfers, in large part mandated by the 1988 Constitution, accounted for the bulk of the overall reduction in poverty.     

Governance and Timber Harvests

Resource economics theory implies that risks associated with weak governance have an ambiguous impact on extraction, with the net impact depending on the relative strengths of depletion and investment effects. Previous empirical studies have found that improved governance tends to reduce deforestation but to raise oil production. Here, we present evidence that the marginal impact of improved governance on timber harvests in developing countries during 1984–2006 was nonmonotonic. It tended to raise harvests in countries with weaker governance but to reduce harvests in countries with stronger governance. This nonmonotonic impact occurred for both an index of governmental integrity (corruption, bureaucracy quality, law and order) and an index of governmental stability. A simulation of hypothetical increases in these governance indices to the maximum 2006 values observed in the sample predicted that improved governance would reduce harvests in most countries but could raise harvests in some, with large increases occurring in countries with the weakest governance.     

Fiscal forecasting performance in an emerging economy: An empirical assessment of Brazil

This study makes use of Brazilian data to analyze government budget balance forecast errors. Besides the analysis of the quality and efficiency of budget balance forecasts, economic, political, and institutional and governance dimensions are explored. The findings show that the data forecasts have low quality and efficiency. Furthermore, it is observed that the budget forecast error is subject to a backward-looking effect, a bias in the economic growth forecasts, as well as cyclical fluctuations. Finally, electoral cycles represent a source of overestimated forecasts, and strong institutions and governance supported by the public are able to suppress opportunistic motivations in budget forecasts.     

Measuring Local Government Transparency

Despite the importance of government transparency to promote accountability and prevent maladministration, empirical research has failed to produce proper tools to assess and compare government transparency practices. Most contributions to the topic do not address it from a stakeholder’s perspective, particularly in selecting the indicators to include in transparency indexes. This paper contributes to the debate by developing a municipal transparency index based on information available on local government official websites. The methodological approach borrows insights from the decision analysis literature to structure the index through a participatory process. An application to the Portuguese local government setting is briefly discussed.     

Category management initiatives from the retailer perspective: a study in the Brazilian grocery retail industry

This paper aims to bridge a gap in the literature concerning implementation processes and outcomes of category management initiatives in a developing country context. It presents the results of a study into initiatives of adoption of this tool in the Brazilian grocery retail industry, based on three in-depth case studies with retailers covering both pre-implementation, implementation and post-implementation issues. There is indication of satisfaction on the part of retailers with the business outcomes and learning effects of the initiatives. However, there seems to be the need for a better definition of medium and long-term actions as well as planning of investments in resources and technology.     

Can market power sustain endogenous growth in overlapping-generations economies?

Summary. Sustained endogenous growth is known to be impossible in OLG one-sector models without non-convexities and externalities, unless income is redistributed to the young generation. No redistribution proper is however necessary, as shown in two simple examples, if positive profits accruing to young monopolistic entrepreneurs can be sustained in equilibrium, and/or if young unionised workers can guarantee a non-vanishing share of aggregate income. In this context, market power appears, in two different forms, as a significant source of sustained endogenous growth. Received: October 3, 2000; revised version: March 9, 2001     

Selecting subsidy strategies for housing allowance programs

The market effects of alternative housing payment formulas are analyzed and compared for a metropolitan housing market using measures of efficiency and distributional equity. The effects of “earmarking” allowance payments are considered. Estimated market effects are based on a model of housing market behavior over a 10-year period. The results differ significantly from what one might anticipate based on demand analyses of individual behavior. “Housing gap” formulas perform better than percent-of-rent formulas. Certain characteristics of the housing market together with particular income redistribution effects of the allowances appear to explain the market behavior.     

The Financial Crisis and the Value‐relevance of Recognised Deferred Tax Assets

The objective of this study is to consider if the value‐relevance of recognised deferred tax assets, which often represent unused tax losses, was affected by the financial crisis. A regression analysis of a sample of Australian and United Kingdom firms reveals that the value‐relevance of recognised deferred tax assets was affected by the financial crisis. However, the impact of the financial crisis differed between the sample countries. The study shows that a plausible explanation for this difference might be found in the tax law of the two countries. Findings of this paper will be of interest to regulators and standard setters, as they highlight how interaction between accounting requirements and tax law affects the relevance of accounting and tax information.     

Debt and Economic Growth in the European Union: A Panel Granger Causality Approach

This paper contributes to empirical investigation of the causality relationships between real gross domestic product (GDP) growth and the growth of three debt categories, namely public, foreign and private debt, in the universe of the 28 European Union (EU) countries during the past decade. Using panel Granger causality estimations, we find statistically relevant bidirectional causality relationships between public debt and economic growth for the periods both before and after the outbreak of the recent financial crisis. Moreover, there is clear evidence of economic growth’s contribution to decreasing public debt.     

A learning-oriented decision-making process for real estate brokerage service evaluation

Real estate brokers or realtors are expected to possess superior knowledge of their local markets and typically require commissions in return for their services in real estate sales. To justify these commissions, it is important to evaluate brokerage service performance. We develop a learning-oriented decision-making process for evaluating real estate brokerage services, which concentrates on understanding the nature, the role, and the interaction of the evaluation aspects of real estate brokerage service quality by integrating cognitive maps and the Decision EXpert approach. Results suggest that this framework permits new rudiments to be considered in the realtor decision-making and sales process, facilitating transparency, and understanding of realtor functions that may lead to recommendations to improve the performance and quality of these functions. Avenues for future research are also presented.