Efficiency, equity, and sustainability in a water quantity-quality optimization model in the Rio Grande basin

Integrated hydrologic and economic optimization models at the basin scale provide a framework for policy design, implementation, and evaluation in water-stressed basins. Despite the considerable potential that basin scale analysis offers, few basin-wide studies have examined tradeoffs among efficiency, equity, and sustainability when analyzing the design of water resource programs. This paper develops a basin scale framework to identify hydrologic and economic impacts of alternative water pricing programs that comply with environmental regulations for protecting water quality. Key issues are examined that confront integrated hydroeconomic basin models: linking water and economics, spatial and temporal scale integration, and quantity-quality relationships. Economic efficiency is defined and measured for each of two urban water pricing arrangements that comply with urban water quality protection regulations. Alternative measures of equity are analyzed in both spatial and temporal dimensions. Sustainability is evaluated physically for protecting the water supply and financially for long-term revenue viability. The approach is illustrated from results of a dynamic nonlinear programming optimization model of water use in North America's Rio Grande basin. The model optimizes the net present value of the basin's total economic benefits subject to constraints on equity, sustainability, hydrology, and institutions. It is applied to assess impacts of a two-tiered pricing program that complies with recently implemented drinking water quality standards for the basin's two largest U.S. cities: Albuquerque, New Mexico, and El Paso, Texas. Results suggest that two-tiered pricing of urban water supply has considerable potential to perform well in meeting the aims of efficiency, equity, and sustainability. Findings provide a general framework for designing water pricing programs that comply with environmental regulations.     

Government efficiency,institutions, and the effects of fiscal consolidation on public debt

We study the evolution of the ratio of public debt to GDP during 132 fiscal episodes in 21 OECD countries in 1981–2008. Our main focus is on debt dynamics during 40 consolidation periods. To define these periods we use data on the evolution of the underlying cyclically adjusted primary balance, and as such avoid biases that may be induced by one-off budgetary measures. The paper brings new evidence on the role of public sector efficiency for the success of fiscal consolidation. First, we confirm that consolidation programs imply a stronger reduction of the public debt ratio when they rely mainly on spending cuts, except public investment. Government wage bill cuts, however, only contribute to lower public debt ratios when public sector efficiency is low. Second, we find that a given consolidation program will be more effective in bringing down debt when it is adopted by a more efficient government apparatus. Third, more efficient governments adopt consolidation programs of better composition. As to other institutions, consolidation policies are more successful when they are accompanied by product market deregulation, and when they are adopted by left-wing governments. By contrast, simultaneous labor market deregulation may be counterproductive during consolidation periods.     

Volatility forecasting: long memory,regime switching and heteroscedasticity

In this article, we account for the first time for long memory, regime switching and the conditional time-varying volatility of volatility (heteroscedasticity) to model and forecast market volatility using the heterogeneous autoregressive model of realized volatility (HAR-RV) and its extensions. We present several interesting and notable findings. First, existing models exhibit significant nonlinearity and clustering, which provide empirical evidence on the benefit of introducing regime switching and heteroscedasticity. Second, out-of-sample results indicate that combining regime switching and heteroscedasticity can substantially improve predictive power from a statistical viewpoint. More specifically, our proposed models generally exhibit higher forecasting accuracy. Third, these results are widely consistent across a variety of robustness tests such as different forecasting windows, forecasting models, realized measures, and stock markets. Consequently, this study sheds new light on forecasting future volatility.     

On the Targeting and Redistributive Efficiencies of Alternative Transfer Instruments

The distributional characteristic provides an attractive alternative to conventional approaches used to evaluate the targeting performance of transfer programs. We decompose it into two components that are useful both conceptually and empirically; one capturing the targeting efficiency of the instrument, the other its redistributive efficiency . The redistributive index can also be generalized for the purposes of evaluating the degree of progressivity in tax-benefit structures. For illustrative purposes, we present an empirical application of the distributional characteristic and its decomposition using Mexican data. The welfare gains from using categorical targeting and means testing reflect improvements in redistributive and targeting efficiency respectively.     

Sources of efficiency,productivity and output growth in Botswana agriculture

The purpose of this study is to explore reasons for the decline in agricultural performance in Botswana that has occurred during the implementation of a variety of policy measures, as well as the introduction of new technologies, and to identify ways in which it might be reversed. Panel data from six regions in Botswana (period 1979–2012) is analyzed with a stochastic output distance function and inefficiency effects model. We decompose agricultural output growth into; total factor productivity (TFP ) and changes in input use (factors of production). TFP is further decomposed into scale effects, technical efficiency and technological change. The results show that over the study period agricultural output grew at a very low rate of 0.072 percent per year, which is largely due to a growth in factors of production at 0.071 percent per year rather than TFP growth (which declined at 0.003 percent per year). We found that the decline in productivity has been due to technological regress and low growth in technical efficiency and scale efficiency. Policy options aimed at improving agricultural productivity and output growth will require the strengthening of extension services; improving the agronomic and husbandry management skills of farmers through training; and by encouraging farmers to adopt and utilize technologies that have been provided under existing policy programs.     

Fluctuations in convex models of endogenous growth, I: Growth effects

Is there a trade-off between fluctuations and growth? The empirical evidence is mixed, with some studies finding a positive relationship, while others find a negative one. Our objectives are to understand how fundamental uncertainty affects the long run growth rate and to identify important factors determining this relationship in a convex endogenous growth model. Qualitatively, we show that the relationship between volatility in fundamentals (or policies) and mean growth can be either positive or negative. The curvature of the utility function is a key parameter that determines the sign of the relationship. Quantitatively, an increase in uncertainty always increases the growth rate in our calibrated models. Though the changes we find are nontrivial, they are not large enough by themselves to account for the large differences in growth rates observed in the data. We also find that differences in the curvature of preferences have very substantial effects on the estimated variability of stationary objects like the consumption–output ratio and hours worked. For this reason, we expect that the models considered in this paper will provide the basis of sharp estimates of the curvature parameter.     

Determinants of the allocative,cost and scope efficiencies of Indian banks

ABSTRACT

This study aims to investigate the impact of competition on determinants of allocative, scope and cost efficiencies of Indian scheduled commercial banks (SCBs). Specifically, the study, analyzes the impact of the second round of licensing on the efficiency of Indian SCBs. This is the first paper to measure scope efficiency of Indian banks and analyze its determinants. A two-stage analysis is performed on a balanced panel dataset of Indian SCBs for the period 1999–2016. In the first stage, the allocative, cost and scope efficiencies for each bank are estimated following the data envelopment analysis approach. In the second stage, internal determinants of the stated efficiency measures are estimated following the system of the generalized method of moments approach. The findings suggest that competition has not resulted in enhancing the efficiency of Indian SCBs. Among factors that can influence efficiency, it is seen that size does matter. Larger banks can enhance the efficiency of SCBs. It is also seen that having more foreign banks improves the overall efficiency of SCBs. However, before embarking on further rounds of licensing, the study posits that market-driven correction to succeed, it is imperative to address sunspots in the form of investor or borrower repression.     

Compensation payments for habitat heterogeneity: Existence, efficiency, and fairness considerations

Compensation payments for voluntary conservation measures have become an important tool for biodiversity conservation worldwide. Each year substantial financial resources are spent on such measures, particularly in the context of agri-environmental schemes. In Europe, a debate has started on whether this money is spent effectively. In response to this debate it has been suggested that a portfolio of measures leading to habitat heterogeneity be implemented. Although payments for heterogeneous conservation measures have been analysed in the literature, it has never been questioned that payments can be designed in a way that encourages enough land users to carry out each conservation measure within a portfolio of measures. The purpose of this paper is to demonstrate that such payments do not always exist. Moreover, in cases where payments for habitat heterogeneity exist the payment scheme may require overcompensation of the land users, posing a limit to both efficiency and fairness considerations.     

Modelling the effect of national culture on countries’ innovation performances: A conditional full frontier approach

This paper provides empirical evidence of the link between countries’ cultural factors and innovation performance. By defining innovation process in a knowledge production framework it uses conditional and unconditional Data Envelopment Analysis (DEA) models together with data from the European Innovation Scoreboard for the year 2007 and Hofstede’s cultural indexes. In this way it models and measures the effect of cultural values on 25 European countries’ innovation efficiency levels. The empirical results reveal that national culture can impact countries’ innovation performance. Specifically, we find significant negative effects on countries’ innovation efficiency levels for countries with higher power distance and uncertainty avoidance values.     

Economic versus physical input measures in the analysis of technical efficiency in fisheries

The measurement of technical efficiency requires the estimation of an appropriate production frontier. This is based on a set of inputs that are assumed to influence the level of output. Deviations from this frontier production function are separated into random variation and inefficiency. However, mis-specification of the production function through the use of inappropriate input measures may result in a bias in the measures of inefficiency. In fisheries, production is generally assumed to be a function of stock size, fishing time and the level of physical inputs employed. Defining the appropriate levels of physical inputs, however, is not straightforward, and several alternative measures are available. While economic measures of capital are more intuitively appealing, physical measures are generally readily available and hence less costly to collect. In this study, technical efficiency is measured for three fleet segments operating in the North Sea using three different gear types. The effects of using different measures of capital in the production frontier on the efficiency estimates are examined.     

Load management programs,cross-subsidies and transaction costs: the case of self-rationing

Load management programs are used by electric utilities to decrease peak consumption. Although they are generally offered simultaneously with regular service, economic models of their allocative efficiency are based on the implicit assumption that they are the only service available. We present a model in which participation to a particular load management program, called self-rationing, is optional. We show that, under a break-even constraint, welfare-maximizing prices involve a subsidy from the self-rationing program to regular service whenever peak demand is less elastic than base demand. If cross-subsidization is precluded, regular service is viable only if there exist transaction costs to participate in the self-rationing program.     

Long‐term care and pay‐for‐performance programs

Pay‐for‐performance programs are gradually spreading across Asia. This paper builds on the longer experience in the United States to offer lessons for Asia. The Center for Medicare and Medicaid Services has introduced several pay‐for‐performance programs since 2012 to encourage hospitals to improve quality of care and reduce costs. Some state Medicaid programs have also introduced pay‐for‐performance for nursing homes. Long‐term care providers play an important role in hospital pay‐for‐performance programs because they can affect the readmission rate and also total episode payments. A good pay‐for‐performance program will focus on improving quality of care that affects health outcomes. In addition, that quality must vary across providers and be measurable. Furthermore, it is important that the measures be reported in a timely way, that both demand and supply respond to the measures, and that the measures be risk adjusted. Empirical data from Medicare beneficiaries in the state of Michigan show that mean episode payments and readmission rates in skilled nursing facilities vary widely and are sensitive to the number of observations. These practical matters create challenges for implementing pay‐for‐performance in practice. There is an extensive literature review of pay‐for‐performance in long‐term care in the United States and in Asia.     

Efficiency and Productivity Change of Non‐Life Insurance Companies in Japan

In a book published in 1994, Production Frontiers , Färe and colleagues developed an output‐based DEA (data envelopment analysis) technique to compute productivity change. The technique constructs the Malmquist index using Farrell measures of efficiency. The Farrell efficiency measures are derived from linear programming problems which allow slack in output constraints. The possible existence of output slack is less than desirable in the computation of efficiency. Therefore, the present paper constructs also the Russell and Zieschang measures of efficiency, which disallow output slack and compares them with the Farrell measures. The analysis uses data on Japanese non‐life insurance firms during the period 1983–94.     

Effects of different environmental regulations and their heterogeneity on air pollution control in China

This study endeavors to explore the impact of different environmental regulations and their heterogeneity on air pollution control in China. By employing a slacks-based measure of directional distance function model, considering undesirable outputs, the efficiency of air pollution control of China’s 30 provinces during 2001–2014 is evaluated. The estimates indicate that the efficiency of air pollution control is fluctuating, and there is obvious regional differences. By using provincial-level panel data and panel threshold models, empirical results show that: (1) There is a nonlinear relationship between environmental regulation and air pollution control efficiency, and it can be positively correlated, but it is constrained by the stringency of regulation: there is a single threshold for formal (command-and-control (CAC) and market-based) regulation, while there is a double threshold for informal regulation. (2) Different environmental regulations have different governance effects. Compared with CAC regulation, market regulation can attract more attention of enterprises. (3) It may be ineffective to expect informal regulation to improve the air pollution control efficiency. Therefore, in order to achieve real sustainable development, the government should set up reasonable regulation stringency and optimize the combination of regulation tools.

     

Multi-equation modelling of desirable and undesirable outputs satisfying the materials balance

The key feature when modelling joint production of intended outputs and unintended residuals is that the latter stem from the use of material inputs. A multi-equation model building on the factorially determined multi-output model of classical production theory satisfies the materials balance that tells us that the mass contained in inputs cannot disappear, but must turn up in the desirable outputs or end up as residuals. In this model, potentially complex technical relationships are simplified to express each of the intended outputs and the residuals as functions of the same set of inputs. Serious problems with the single-equation models most often found in the literature are demonstrated. Abatement activity in the form of end of pipe is added, and an optimal planning solution is derived using the concept of an environmental damage function for the impact of discharge of residuals into the natural environment. It is shown that the traditional environmental policy instruments, like direct regulation restricting the amount of undesirable residuals discharged to the environment, a Pigou tax on pollutants, and cap and trade, all function well. Extending the multi-equation model to allow for inefficiency, three efficiency measures are introduced: desirable output efficiency, residuals efficiency, and abatement efficiency. It is conjectured that these measures can be estimated independently using the DEA model.     

Involuntary unemployment,macroeconomic policy,and a behavioral model of the firm: Why high real wages need not cause high unemployment

The perspective of modern macroeconomic theory, be it new classical or old and new Keynesian, is that unemployment can be reduced only if real wages are cut. The modern Keynesians, basing themselves upon the microfoundations of efficiency wage theory, argue that real wages cannot and will not be cut by firms for efficiency wage reasons. This generates involuntary unemployment based on a market coordination problem. A behavioral model that contrasts with efficiency wage theory is presented here which suggests that reducing real wages need not affect the marginal cost of labor and, therefore, the number of individuals employed. In the behavioral model, wherein there exists some linearity in the relationship between real wages and working conditions and labor productivity, a lower real wage rate is not a necessary condition for reducing the unemployment rate nor is a higher real wage an obstacle to reducing it. In this scenario, unemployment, to the extent that it is demand-side induced, is not related to movements in real wages. Therefore, restoring full employment after a negative demand shock becomes a matter for demand management, not demand management that must be coordinated with measures designed to reduce real wages.     

Optimal gasoline hedging strategies using futures contracts and exchange-traded funds

This article employs a variety of econometric models (including OLS, VEC/VAR, DCC GARCH and a class of copula-based GARCH models) to estimate optimal hedge ratios for gasoline spot prices using gasoline exchange-traded funds (ETFs) and gasoline futures contracts. We then compare their performance using four different measures from the perspective of both their hedging objectives and trading position using four different measures: variance reduction measure, utility-based measure and two tail-based measures (value at risk and expected shortfall). The impact of the 2008 financial market crisis on hedging performance is also investigated. Our findings indicate that, in terms of variance reduction, the static models (OLS and VEC/VAR) are found to be the best hedging strategies. However, more sophisticated time-varying hedging strategies could outperform the static hedging models when the other measures are used. In addition, ETF hedging is a more effective hedging strategy than futures hedging during the high-volatility (crisis) period, but this is not always the case during the normal time (post-crisis) period.     

Estimating inequality in the distribution of welfare using demand models

In this paper two demand models with general household equivalence scales (GES) are estimated. These GES are identifiable, since they have the independence of base utility (IB) or equivalence scales exactness (ESE) property. Estimates of household characteristics adjusted income can then be calculated relative to a specific household type. This “individual equivalent income (IEI) is then used to calculate measures of inequality in the distribution of welfare. As more than one model is estimated, the sensitivity of these estimates to model specification changes can be considered. Comparisons are also made to estimates of inequality based on household income. It is found that absolute inequality is sensitive to model specification, but relative inequality is not. This is true using indices of inequality of the Atkinson (1970), Kolm (1976a,b) and Sen (1973) type, or more general measures of inequality based on estimates of Lorenz curve decile ordinates, constructed using methods introduced by Beach and Davidson (1983). Thus, if absolute measures of inequality are required, these results suggest some further research is required to determine a class of models which is less sensitive to model specification error. However, if only relative measures of inequality are needed, then estimates of inequality appear to be very robust to the choice of model specification.     

The effectiveness of home energy audits: A case study of Jackson,Wyoming

This study examines the factors that influence households to adopt modifications recommended by home energy audits and whether these audits lead to significant reductions in electricity use. Household decisions after the audits are recorded along with the corresponding recommended modifications and the offers for co-funding. A discrete choice model of the household decision after the audit is estimated. The results indicate that the potential improvement in heating efficiency from the proposed modifications increase the probability of implementing conservation measures. Co-funding offers also significantly raise the odds of accepting the modifications but are relatively less important than anticipated efficiency improvements. Several approaches are used to determine whether and how much energy is saved after the audits. Electricity demand models are estimated using data two years before and after each household audit. For households who decide to modify their houses after the audit, monthly average electricity use per square foot decreases 7%. While there is an estimated 2% reduction in electricity use attributed to the audit by households who decided not to adopt the proposed modifications, this reduction is not statistically significant, casting doubt on the presence of modifications in behavior from the audit information itself. For all households audited, the results from the electricity demand models suggest that the LVE home energy audit program reduced household electricity use 4.7%. In contrast, a differences-in-differences approach using synthetic control groups based upon a smaller but still sizeable sample of 2000 observations finds that home energy audits reduce household electricity use by more than 10%. Overall, these findings suggest that home audits result in modest but significant reductions in energy use and that co-funding encourages investments that otherwise may not be privately optimal.