Wage subsidies to combat unemployment and poverty

Wage or employment subsidies have been used in both developed and developing countries to raise employment levels. Various advisers to the South African government have endorsed wage subsidies as a policy measure to deal with this country�s massive unemployment problem. This paper takes stock of the international literature and conducts an economywide macro-micro analysis to obtain insights into wage subsidy design and implementation issues facing developing countries. It also investigates whether this policy measure is appropriate in dealing with South Africa�s particular sources of unemployment. We argue that although wage subsidies may be successful at creating jobs in South Africa, they should not be seen as the primary or dominant policy instrument for dealing with the broader unemployment problem. To enhance the effectiveness of wage subsidies, they should preferably be linked to structured workplace training, be targeted to industries where employment will be responsive to changes in labor costs, and be focused on the youth. In the long run, addressing unemployment in South Africa requires policies that improve economic growth and the economy�s employment absorption capacity, that raise skills of new labor market entrants, that reduce labor market rigidities, and that promote effective job search, especially among the youth.Computable General Equilibrium (CGE) microsimulation modeling, Developing countries, economic growth, employment absorption capacity, labor costs, macro-micro analysis, Unemployment, wage subsidies,

Wage Subsidies to Combat Unemployment and Poverty: Assessing South Africa’s Options

Wage or employment subsidies have been used in both developed and developing countries to raise employment levels. Various advisers to the South African government have endorsed wage subsidies as a policy measure to deal with this country’s massive unemployment problem. This paper takes stock of the international literature and conducts an economywide macro-micro analysis to obtain insights into wage subsidy design and implementation issues facing developing countries. It also investigates whether this policy measure is appropriate in dealing with South Africa’s particular sources of unemployment. We argue that although wage subsidies may be successful at creating jobs in South Africa, they should not be seen as the primary or dominant policy instrument for dealing with the broader unemployment problem. To enhance the effectiveness of wage subsidies, they should preferably be linked to structured workplace training, be targeted to industries where employment will be responsive to changes in labor costs, and be focused on the youth. In the long run, addressing unemployment in South Africa requires policies that improve economic growth and the economy’s employment absorption capacity, that raise skills of new labor market entrants, that reduce labor market rigidities, and that promote effective job search, especially among the youth.

Markets Segmented by Regional - Origin Labeling with Quality Control

It is the objective of this paper to provide a methodological framework for the analysis of regional marketing programs which include regional-origin labeling as well as quality assurance and control. Such programs are increasingly introduced in Europe and other parts of the world as a means against quality uncertainty in globalized markets. An equilibrium - displacement model is developed for a segmented market with differential qualities that can be utilized for a broad variety of marketing programs. It is applied to one selected European case, i.e. "Gepruefte Qualitaet - Bayern". It is shown that the price impacts on high-quality and low-quality segments depend crucially on substitutive relationships between the markets and the advertising elasticities. Welfare implications for producers in a program depend strongly on advertising elasticities, too, but also on the costs of participation including quality control and on the co-financing mechanism between government and producers.regional-origin labeling, segmented markets, generic promotion, Gepruefte Qualitaet - Bayern, economic welfare, Marketing,

Demand response in electrical energy supply: an optimal real time pricing approach

In competitive electricity markets with deep concerns for the efficiency level, demand response programs gain considerable significance. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. This paper presents DemSi, a demand response simulator that allows studying demand response actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. The use of DemSi by a retailer in a situation of energy shortage, is presented. Load reduction is obtained using a consumer based price elasticity approach supported by real time pricing. Non-linear programming is used to maximize the retailer’s profit, determining the optimal solution for each envisaged load reduction. The solution determines the price variations considering two different approaches, price variations determined for each individual consumer or for each consumer type, allowing to prove that the approach used does not significantly influence the retailer’s profit. The paper presents a case study in a 33 bus distribution network with 5 distinct consumer types. The obtained results and conclusions show the adequacy of the used methodology and its importance for supporting retailers’ decision making

WILL THE VOLUNTARY CHECKOFF PROGRAM BE THE ANSWER? AN ANALYSIS OF OPTIMAL ADVERTISING AND FREE-RIDER PROBLEM IN THE U.S. BEEF INDUSTRY

Replaced with revised version of paper 04/21/04.Marketing,

Electricity Market Designs for Demand Response from Residential Customers

The main purpose of this dissertation is to design an appropriate tariff program for residential customers that encourages customers to participate in the system while satisfying market operators and utilities goals. This research investigates three aspects critical for successful programs: tariff designs for DR, impact of renewable on such tariffs, and load elasticity estimates. First, both categories of DR are modeled based on the demand-price elasticity concept and used to design an optimum scheme for achieving the maximum benefit of DR. The objective is to not only reduce costs and improve reliability but also to increase customer acceptance of a DR program by limiting price volatility. A time of use (TOU) program is considered for a PB scheme designed using a monthly peak and off peak tariff. For the IBDR, a novel optimization is proposed that in addition to calculation of an adequate and a reasonable amount of load change for the incentive also finds the best times to request DR. Second, the effect of both DR programs under a high penetration of renewable resources is investigated. LMP variation after renewable expansion is more highly correlated with renewable’s intermittent output than the load profile. As a result, a TOU program is difficult to successfully implement; however, analysis shows IBDR can diminish most of the volatile price changes in WECC. To model risk associated with renewable uncertainty, a robust optimization is designed considering market price and elasticity uncertainty. Third, a comprehensive study to estimate residential load elasticity in an IBDR program. A key component in all demand response programs design is elasticity, which implies customer reaction to LSEs offers. Due to limited information, PB elasticity is used in IBDR as well. Customer elasticity is calculated using data from two nationwide surveys and integrated with a detailed residential load model. In addition, IB elasticity is reported at the individual appliance level, which is more effective than one for the aggregate load of the feeder. Considering the importance of HVAC in the aggregate load signal, its elasticity is studied in greater detail and estimated for different customer groupings

Energy Efficiency Economics and Policy

Energy efficiency and conservation are considered key means for reducing greenhouse gas emissions and achieving other energy policy goals, but associated market behavior and policy responses have engendered debates in the economic literature. We review economic concepts underlying consumer decisionmaking in energy efficiency and conservation and examine related empirical literature. In particular, we provide an economic perspective on the range of market barriers, market failures, and behavioral failures that have been cited in the energy efficiency context. We assess the extent to which these conditions provide a motivation for policy intervention in energy-using product markets, including an examination of the evidence on policy effectiveness and cost. While theory and empirical evidence suggest there is potential for welfare-enhancing energy efficiency policies, many open questions remain, particularly relating to the extent of some of the key market and behavioral failures.energy efficiency, appliance standards, energy policy, market failures, behavioral failures

Modeling and Integration of Demand Response and Demand Side Resources for Smart Grid Application in Distribution Systems

Today\u27s electric grid is undergoing drastic changes to evolve into a smart grid. Deregulation of the integrated and monopolistic power system into genco, transco and disco has led to tremendous competition among these players. These entities are in the process of developing innovative smart grid strategies that can improve their reliability and profit. In this thesis work, some of the smart grid initiatives by discos have been explored.;This thesis work is driven by two major objectives. The primary objective is to explore Demand Response (DR), develop its comprehensive model and to analyze various effects and implications of DR on distribution networks. The second major objective of the thesis is to integrate the developed demand response model into a microgrid market optimization. A microgrid network is a real world demonstration of smart grid that integrates and coordinates various demand side resources into its operation. For this reason, a microgrid has been chosen in this work so that it offers a broader scope where in addition to DR models, Battery Energy Storage System (BESS) and Distributed Energy Resources (DER) or Distributed Generation (DG) can also be modeled and integrated.;This thesis develops a model for DR by utilizing consumer behavior modeling considering different scenarios and levels of consumer rationality. Consumer behavior modeling has been done by developing extensive demand-price elasticity matrices for different types of consumers. These Price Elasticity Matrices (PEMs) are utilized to calculate the level of demand response for a given consumer. DR thus obtained is applied to a real world distribution network considering a day-ahead real time pricing scenario to study the effects of demand reduction and redistribution on system voltage and losses. Results show considerable boost in system voltage that paves way for further demand curtailment through demand side management techniques like Volt/Var Control (VVC).;Following this, the thesis develops a market optimization model for an islanded microgrid that includes Smart Grid elements namely DR, DERs and BESS. Comprehensive models for DR and BESS have been developed and integrated into the optimization program. Demand Side Bidding (DSB) by DR Aggregators is introduced into the proposed double sided microgrid energy market by utilizing the DR models developed. The optimization program uses Linear Programming (LP) technique to determine the dispatch schedule of DERs, BESS and the level of DR to minimize the operating cost of the microgrid market. A time series simulation of a large microgrid test system is performed to show the feasibility of the proposed market optimization