Technical Efficiency of Rice Farmers in Northern Ghana

Examining the level of farm-specific technical efficiency of farmers growing irrigated and non-irrigated rice in Northern Ghana, this study fitted cross-sectional data into a transcendental logarithmic (translog) production frontier. The study concludes that rice farmers are technically inefficient. There is no significant difference in mean technical efficiencies for non-irrigators (53%) and irrigators (51%). The main determinants of technical efficiency in the study area are education, extension contact, age and family size. Providing farmers with both formal and informal education will be a useful investment and a good mechanism for improving efficiency in rice farming. There is also need for training more qualified extension agents and motivating them to deliver

Traffic forecasts under uncertainty and capacity constraints

Traffic forecasts provide essential input for the appraisal of transport investment projects. However, according to recent empirical evidence, long-term predictions are subject to high levels of uncertainty. This paper quantifies uncertainty in traffic forecasts for the tolled motorway network in Spain. Uncertainty is quantified in the form of a confidence interval for the traffic forecast that includes both model uncertainty and input uncertainty. We apply a stochastic simulation process based on bootstrapping techniques. Furthermore, the paper proposes a new methodology to account for capacity constraints in long-term traffic forecasts. Specifically, we suggest a dynamic model in which the speed of adjustment is related to the ratio between the actual traffic flow and the maximum capacity of the motorway. This methodology is applied to a specific public policy that consists of suppressing the toll on a certain motorway section before the concession expires.

The association of agricultural information services and technical efficiency among maize producers in Kakamega, western Kenya

Maize is the staple food for most Kenyan households, and grown in almost all the farming systems. Due to diminishing farm sizes in Kakamega District, crop productivity and the efficiency of farming systems are of great concern. This paper aims to provide empirical evidence on the links between efficiency in maize production and access to soil-related agricultural information services. Using cluster sampling, a total of 154 farmers in Kakamega District were interviewed. A 2–step estimation technique (Data Envelopment Analysis (DEA) and Tobit model) were used to evaluate the technical efficiencies among the farmers and the factors explaining the estimated efficiency scores. Data was disaggregated into farmers with and those without access to soil-related agricultural information services. The results shows that farmers with access to soil-related agricultural information services were more technically efficient (average technical efficiency of 90%) in maize production compared to those without access to information (technical efficiency at 70%). Given the significant role that access to soil-related agricultural information services play on technical efficiency in maize production in the study area, the paper recommends improvements in farmers access to this important resources through: (i) the strengthening of the formal and informal agricultural extension services, (ii) a stronger linkage among agricultural research, agricultural extension, and farm level activities; and (iii) policy support for increased distribution of soil management inputs.Maize, Soil information, Technical efficiency, Tobit analysis, DEA, Teaching/Communication/Extension/Profession,

On the Interaction of Financial Frictions and Fixed Capital Adjustment Costs: Evidence from a Panel of German Firms

This paper analyzes the interaction of financial frictions and non- convex adjustment costs. With non-convex adjustment costs firms infrequently carry out discrete investment projects. Therefore, financial variables may influence investment in two ways. Theoretically, they can alter the frequency at which investment projects are undertaken, or they can influence the size of the stock of capital a company wishes to hold in the long run. Empirically, finance has nearly no long-run influence on the stock of capital in the sample of German companies which this paper analyzes. By contrast, the influence of finance on investment decisions is substantial. Consequently, finance primarily affects investment frequencies and accordingly, financial factors and fundamental capital productivity strongly interact in the determination of investment.Investment; imperfect capital markets; debt constraints; adjustment costs; nonlinear panel cointegration

Deep space network software cost estimation model

A parametric software cost estimation model prepared for Jet PRopulsion Laboratory (JPL) Deep Space Network (DSN) Data System implementation tasks is described. The resource estimation mdel modifies and combines a number of existing models. The model calibrates the task magnitude and difficulty, development environment, and software technology effects through prompted responses to a set of approximately 50 questions. Parameters in the model are adjusted to fit JPL software life-cycle statistics

The growth-poverty convergence agenda: Optimizing social expenditures to maximize their impact on agricultural labor productivity, growth, and poverty reduction in Africa

The need to achieve the Millennium Development Goals (MDGs) has raised the profile of social sector investments in Africa and other developing countries. As a result, many African countries are pressured to emphasize short-term concerns related to the symptoms of poverty at the expense of the longer-term needs to raise productivity and incomes, and thereby tackle the real roots of poverty. Because of scarce budget resources, there is a major challenge for African governments in terms of ensuring the necessary consistency of policies and strategies to promote long-term economic growth, raise smallholder productivity, achieve food security, and reduce poverty, while providing the social services that respond to immediate welfare requirements. The main objective of the convergence agenda exposed in this paper is to identify strategies that would allow developing countries to improve the management of public expenditures so as to raise the chances of meeting the income growth and social needs of their populations under tight budget constraints. In this paper we have (1) discussed the terminology used in describing the problem being studied and formulated the assumptions and hypotheses underlying the research; (2) defined a typology of growth–poverty pathways; (3) developed metrics to measure the strength of the relationship between growth and poverty reduction; (4) laid out the theory for the measurement of the degree of convergence of public expenditures on social services, that is, the extent to which they are optimized with respect to their impact on labor productivity and growth; and (5) outlined models for (a) the quantification of social services availability at the local level using a single-score concept, (b) the evaluation of the quality and efficiency of public expenditures in social services sectors in rural areas, and (c) the optimization of public expenditures allocation to maximize the impact on growth and poverty reduction; as well as (6) provided initial evidence proving the validity of the theory of convergence.Poverty, Expenditure, Social services, Convergence, Agriculture, Poverty overhang, Growth deficit, Public investment,

Parameter estimation for a computable general equilibrium model: a maximum entropy approach

We introduce a maximum entropy approach to parameter estimation for computable general equilibrium (CGE) models. The approach applies information theory to estimating a system of nonlinear simultaneous equations. It has a number of advantages. First, it imposes all general equilibrium constraints. Second, it permits incorporation of prior information on parameter values. Third, it can be applied in the absence of copious data. Finally, it supplies measures of the capacity of the model to reproduce the historical record and the statistical significance of parameter estimates. The method is applied to estimating a CGE model of Mozambique.Estimation theory., Equilibrium (Economics) Models., Mozambique.,