Public policies,political cleavages and urban space: state infrastructure policies in São Paulo,Brazil, 1975–2000

This article deals with the state policies of urban infrastructure in São Paulo, Brazil, from 1975 to 2000. Working with primary information about the investments made by the state in public works, we discuss a series of arguments present in the urban studies literature about the patterns of state investment in urban spaces and propose an alternative explanation for state action in Brazilian urban spaces in recent decades. We analyze the main elements that have influenced the overall pattern of investments, describe the main characteristics of this policy over time and in each of the municipal governments of the period, as well as develop an evaluation of the spatial distribution of the resources among each of the main social groups in the city.     

The effect of agriculture on repayment efficiency: a look at MFI borrowing groups

There is a widely held industry assumption from microfinance institutions that agricultural loans have poorer repayment rates, which has resulted in many loans being provided for small businesses as opposed to agricultural purposes. Using data from a sample of 100 borrowing groups from a south Indian Microfinance Institutions (MFI), this study challenges this belief by analyzing the repayment efficiency of borrowing groups and reflects on the implications for agricultural microfinance loans. The analysis is run using Bayesian stochastic frontier estimation with an exponential hierarchical prior on the efficiency term. Our results indicate that the average efficiency of the borrowing groups analyzed was approximately 75% and that having a higher percentage of agricultural loans increased borrowing group efficiency while gains in efficiency also rose as the size of the borrowing group increases.     

An International Comparison of Banking Sectors: A DEA Approach

Abstract

This paper presents a novel approach to measure and compare the efficiency of the banking system in several countries and stages of development using the non-parametric?mathematic methodology Data Envelopment Analysis (DEA). Thus, we expect to broaden the range of studies about banking efficiency. Differently from most studies that use accounting data for measuring efficiency we employed market data, measuring returns and risk (calculated in different ways) in order to build a new measure of efficiency. This approach allows the comparison of different countries, which have different accounting rules and are not comparable using standard models. The main results suggest a downward trend in the average efficiency level of developed countries and a slight upward trend in the efficiency level of emerging market countries during the period. According to this study, efficiency tends to level off emerging and developed countries. It may be partially explained by the increasing globalization and integration processes that markets have been going through in the last years.     

Labor market outcomes of granting full professional independence to nurse practitioners

Journal of Regulatory Economics - Faced with an impending shortage of physicians, the U.S. healthcare industry’s capability and capacity to meet its growing clientele’s needs rely on...     

Environmental management and the “soft side” of organisations: Discovering the most relevant behavioural factors in green supply chains

Anchored in the resource‐based view theory, the objective of this research is to empirically analyse the behavioural factors affecting the green supply chain management (GCSM) performance in a fast‐growing emerging economy by taking an empirical data set of 101 responses from personnel in the mining sector. Behavioural factors in green supply chains are still a critical challenge—not yet a well‐explored academic subject—when the focus is on the mining industry of emerging economies like India; the lack of studies in this field could be a factor preventing the Indian mining industry becoming more green. In terms of methodology, original survey data were processed through AMOS 4.0, adopted for assessing the causal connection among the six constructs, that is, top management support, teamwork, workplace culture, resistance to change, green innovation, and green motivation. We further explore the input from the human side of GCSM by highlighting that top management support and green motivation are the most crucial behavioural factors that influence GCSM in the Indian mining sector. The study will be helpful for mining companies because it will enable them to identify the areas that require their attention for enhancing GCSM performance related to behavioural aspects.     

Share Tenancy, Ownership Structure, and Prevented Planting Claims in Crop Insurance

A conceptual model based on opportunity cost and expected utility principles establishes linkages between the likelihood of prevented planting claims in crop insurance and existing share leasing arrangements/internal farm business structures. Results of heteroskedastic probit estimation procedures indicate that simpler internal business structures and more dominant farmer–tenant leasing position can increase the probability of submitting a prevented planting claim.     

Software Transparency

Software transparency is a new and important concern that software developers must deal with. As society moves towards increased automation, if citizens wish to exercise their right to know, the transparency of public services and processes acquires fundamental importance. Informed discourse is only possible if processes affecting the public are open to evaluation. Achieving software transparency to this level of openness faces several roadblocks. The paper reports on initial findings on exploring the obstacles for enabling software transparency.     

Monetary targeting in the Netherlands: an application of co-integration tests

There are two criteria to choose an intermediate variable for monetary targeting. First, the money demand function needs to be stable and second, the monetary authorities should be able to control the target variable given the available instruments. In this paper we examine whether M1 and M2 in the Netherlands fulfil the first requirement, i.e. we investigate whether a stable relationship exists between these monetary variables and key macroeconomic variables. Co-integration techniques are used which are very well suited for this purpose. Monetary policy in the Netherlands has been directed towards the growth rate of broad money (M2). The present findings do not suport the choice of M2 as an intermediate target for monetary policy in the Netherlands. A stable long-term relationship between M2 and real NNP and Long-and short-term interest rates does not exist. The results for M1 are considerbly better, though not favourable at all scores. The estimated moeny demand function for M1 is a good indicator for monetary policy, since the Dutch central bank probably cannot control the growth rate of M1.