Academic literature on the topic 'Labour allocation decisions'

Purpose Credit is central in labour allocation decisions in smallholder agriculture in developing countries. The purpose of this paper is to analyse the effect of credit constraints on farm households’ labour allocation decisions in rural Burkina Faso. Design/methodology/approach The study used a direct elicitation approach of credit constraints and applied a farm household model to categorize households into four labour market participation regimes. A joint estimation of both the multinomial logit model and probit model was applied on survey data from Burkina Faso to assess the effect of credit constraint on the probability of choosing one of the four alternatives. Findings The results of the probit model showed that households’ endowment of livestock, access to news, and membership to an farmer-based organization were factors lowering the probability of being credit constrained in rural Burkina Faso. The multinomial logit model results showed that credit constraints negatively influenced the likelihood of a farm household to use hired labour in agricultural production and perhaps more importantly it induces farm households to hire out labour off farm. The results also showed that the other components of household characteristics and farm attributes are important factors determining the relative probability of selecting a particular labour market participation regime. Social implications Facilitating access to credit in rural Burkina Faso can encourage farm households to use hired labour in agricultural production and thereby positively impacting farm productivity and relieving unemployment pressures. Originality/value In order to identify the effect of credit constraints on farm households’ labour decisions, this study examined farm households’ decisions of hiring on-farm labour, supplying labour off-farm or simultaneously hiring on-farm labour and supplying family labour off-farm under credit constraints using the direct elicitation approach of credit constraints. To the best of the authors’ knowledge, this study is the first to examine this problem in Burkina Faso.

This paper analyses farmers’ credit allocation behaviors and their effects on technical efficiency. Data were collected from 476 farmers using the multistage sampling procedure. The stochastic frontier truncated-normal with conditional mean model is used to assess allocation schemes effects on technical efficiency. Tobit model reveals the impact of farmers’ sociodemographic characteristics on efficiency scores. Results reveal that farm revenue (about 2,262,566 Fcfa on average) is positively correlated with land acreage, quantity of labour, and costs of fertilizers and insecticides. Farmers’ behaviors respond to six schemes which are categorized in two allocations contexts: out-farm and in-farm allocations. The model shows that only scheme (e) positively impacts technical efficiency. This scheme refers to the decision to invest credit to purchase better quality of pesticides, herbicides, fertilizers, and so forth. The positive effect of the scheme (c) may be significant under conditions of farmers’ education level improvement. Then, scheme (e) is a better investment for all farmers, but effect of credit allocation to buy agricultural materials is positive only for educated farmers. Efficiency scores are reduced by household size and gender of the household head. Therefore a household with more than 10 members and a woman as head is likely to not be technically efficient.

This paper attempts to explain female time allocation for rural women in selected districts of Pakistan. This topic is of considerable importance for several reasons. At an academic leveL the fact that the female labour force participation decision and the hours worked are jointly determined raises interesting problems of modelling and econometric estimation in taking account of the selectivity bias thus introduced into OLS estimation. At the policy level, an insight into the factors influencing female labour force participation is extremely important in a developing country such as Pakistan where the majority of females do not participate in mainstream economic activities. The objective of this study is to determine the factors affecting the optimum time allocation between market and housework of females in rural Pakistan. In a male dominated society like Pakistan with strong cultural taboos, a woman's labour force participation can be expected to depend significantly on non-market factors. In this study we examine, in particular, whether women's decisions not to work outside the home are influenced more by social norms, for example purdah and patriarchy, or by economic constraints such as lack of relevant education and training, non-availability of job opportunities and low wages etc.

This paper examines the intra-household decision-making patterns among spouses regarding agroforestry decisions in the eastern highlands of Uganda. The study uses both quantitative and qualitative data to examine spousal differences in the allocation of decision-making power over eight agroforestry decisions in dual-headed households. Quantitative data were collected through a cross-sectional survey in which both husbands and wives were interviewed separately and used to determine the decision-making power of spouses as well as the influence of individual and household characteristics on decision-making. Qualitative data from focus group discussions were collected to validate the quantitative findings. The study found that there were agreements and disagreements among spouses on how decision-making power is exercised over a range of agroforestry decisions. Wives allocated themselves more decision-making power than was assigned to them by their husbands. The higher allocation of decision-making power for wives tended to be in decisions linked to their roles and responsibilities in the household. The most critical factor influencing accord in decision-making was the number of years spent together by the couple while the number of children shared between the couple and farm-labour difference between husband and wife was the most significant for discord. Findings imply that most agroforestry interventions where wives participate without their spouses are bound to fail in dual-headed households because they wives limited decision-making power. It's desirable for programmes promoting agroforestry to integrate both husbands and wives in their interventions, for agroforestry to be more meaningful in meeting their divergent interests. This paper examines the intra-household decision-making patterns among spouses regarding agroforestry decisions in the eastern highlands of Uganda. The study uses both quantitative and qualitative data to examine spousal differences in the allocation of decision-making power over eight agroforestry decisions in dual-headed households. Quantitative data were collected through a cross-sectional survey in which both husbands and wives were interviewed separately and used to determine the decision-making power of spouses as well as the influence of individual and household characteristics on decision-making. Qualitative data from focus group discussions were collected to validate the quantitative findings. The study found that there were agreements and disagreements among spouses on how decision-making power is exercised over a range of agroforestry decisions. Wives allocated themselves more decision-making power than was assigned to them by their husbands. The higher allocation of decision-making power for wives tended to be in decisions linked to their roles and responsibilities in the household. The most critical factor influencing accord in decision-making was the number of years spent together by the couple while the number of children shared between the couple and farm-labour difference between husband and wife was the most significant for discord. Findings imply that most agroforestry interventions where wives participate without their spouses are bound to fail in dual-headed households because they wives limited decision-making power. It's desirable for programmes promoting agroforestry to integrate both husbands and wives in their interventions, for agroforestry to be more meaningful in meeting their divergent interests.

Unfortunately, religious behaviour has been viewed by economists in terms of “Islamic economics,” “Christian economics”, etc. [Iannaccone (1986)]. Hence there has been a dichotomy prevailing between religious economic frameworks and the conventional rational choice theory.1 Whereas the conventional economists tried a variety of models to estimate the relationship between wages and time allocated to market labour supply but found that results mostly do not speak of the real world situation [Deaton (1980)]. The underlying reason was supposed to be faith and values which have strong effect on labour supply decisions [Pencavel (1986)]. The philanthropic behaviour relates to labour supply decisions directly through time allocated to voluntary services or indirectly through time allocated for earning and then donations out of these. It is observed that the variables of economic importance especially those relating to household resource allocation or labour supply decisions seem to be present in religious affiliation of individuals, their values and their perceptions about life before and after death as believed by the followers of divine religions which account for about two thirds of the world population.

Economists have generally ignored the family in micro-economic theory by treating households as one person. Becker’s allocation of time theory has spawned a number of labour supply studies which claim to take account of the family. It is argued in this paper that the labour supply function is indeterminate except under highly unpalatable assumptions. Indeterminacy results in family bargaining which needs to be considered by economists. It is argued that family bargaining is a subject requiring sociological treatment. Economic and sociological approaches to labour supply decisions are surveyed and a synthetic framework, of the two, for empirical work, put forward.

The growing role of institutions and their influence on the labour market outcomes, i.e. wage rates and labour allocation, has been among the most significant characteristic features of labour markets in recent decades. Labour market economics built its paradigm on the principles of marginalism, which brought suitable instruments for analysis of market agents´ individual decisions capable of achieving effective solutions. Smith´s “invisible hand” has gradually been limited by institutional interventions – by governments, corporations and trade unions with government legislation, corporate personnel policies and collective bargaining. The expanding regulatory interventions into the labour market and the effort to explain the reality leads inevitably to the fact that modern labour market economics incorporates more and more institutional theories. The contribution outlines the gradual invasion of neoinstitutional topics and theories into the neoclassical labour market paradigm and it analyses the differences in the neoclassical and neoinstitutional interpretation of labour markets’ functioning. The recent discussion on the consequences for labour market economics theory is presented. A conclusion about the gradual direction towards a changed paradigm of labour market economics is presented.

ABSTRACTThis paper explores the effect of unhedgeable background risks such as mortality and labour risks (such as wages and turnover) on pension funding and finance. We explore the literature on the economics and finance of background risk, and discuss its applicability to pensions. Most of the results in economics apply to the special case of additive background risk, which is part of, but not all of, the background risk faced by pension funds. We develop three illustrative models and show the impact of background risk on pension funding and asset allocation. We find that the asset allocation and funding decisions of pension plans in general change with the introduction of background risk, in some cases significantly. We also explore implications of background risk for fair value calculations.

Using data collected by the Virginia Agricultural Statistical Service in 1989, off-farm labor participation models were developed to identify factors that influence the probability that a farm operator or spouse in Virginia would choose to work off the farm. The sample indicated that a substantial proportion of Virginia farms had at least one member working off the farm. Higher total incomes were also earned by fanlilies with an operator and/or spouse working off the farm. In addition, the proportion of total income originating from off-farm sources was large regardless of whether the operator or spouse worked off the farm or not. As a result of this survey, the picture developed of farm operators and spouses in Virginia is different than a traditional view of farming would support. Because of the dichotomous dependent variable and the different responses expected from the operator and spouse, probit analysis was selected to estimate separate participation models for the farm operator and spouse. The empirical results reveal that human capital, labor supply and labor demand characteristics influence the off-farm employment decisions of both the operator and spouse, though not in a uniform manner. Additionally, variables found to be important to off-farm labor force participation were primarily not farm specific. Changes in the non-farm economy are expected to affect the majority of Virginia farms more than changes in the farm economy. It is also clear that the majority of farm families in Virginia have a vested interest in efforts made to develop and strengthen the local economy.
Master of Science

Masonry construction is labor-intensive. Processes involve little to no mechanization and require a large number of crews made up of workers with diverse skills, capabilities, and personalities. Relationships among crews are tight and very dependent. Often crews are re-assembled and the superintendent is responsible for assigning workers to crews and allocating crews to different tasks to maximize workflow. This dynamic environment can influence the motivation of workers and impose pressure and stress on them. Workers, unlike other resources, have their own needs and requirements beyond the financial compensation for their work. Workers place a great value on requirements such as certainty about work assignments, matching assignments to career development goals, and work satisfaction. If managed properly, workers may bring considerable benefits to both the project and the contractor. A project that links workers to career goals not only allows contractors to develop more qualified staff for its future projects, but also gives the worker opportunities for career growth and development. Additionally, job satisfaction and efficiency increases from suitable worker assignment and consideration of tasks. Therefore, the study of sustainable labor management practices is of interest in masonry construction and other labor-intensive industries. A mixed-integer programming (MIP) model enables the integration of workers needs and contractor requirements into the process of labor allocation. Furthermore, the model can be used to quantify strategies that maximize productivity, quality of work, and the well-being of workers. Developing such a model is a necessary task. To plan and manage masonry construction, the contractor has to take into account not only multiple workers with different characteristics but also rules for crew design and makeup and project requirements in terms of personnel needs. Providing an analytical description of all the needs and requirements is challenging. Therefore, to determine labor management practices that indeed maximize production and maximize workers satisfaction, the model needs to realistically represent the realities in masonry construction sites and staffing practices, while remaining computationally manageable such that optimization models can be derived. This dissertation proposes a decision support system (DSS) for sustainable labor management in masonry construction that takes into consideration information on workers and job characteristics with the intention of assisting decision makers in allocating crews. Firstly, semi-structured interviews were conducted with masonry practitioners to gather perspectives on labor requirements, rules for crew design, and drivers for crew makeup. Secondly, a model that incorporates realities was implemented. The model supports masonry contractors and superintendent in the challenging process of managing crews, that is, to determine the composition of each crew and the allocation of crews to maximize productivity and workflow while considering workers’ preferences and well-being. With the DSS, project managers and superintendents are not only able to identify working patterns for each of the workers but also optimal crew formation and investment and labor costs. Data from real case study is used to compare the schedule and allocation on the site with the one proposed by the model. The comparison shows the model can optimize the allocation of crews to reduce the completion time to build the walls while maximizing the utilization of masons and outlining opportunities for concurrent work. It is expected that the DSS will help contractors improve productivity and quality while efficiently managing masonry workers in a more sustainable way. The contributions for the masonry industry are two-fold. Firstly, the proposed model considers a set of rules that masonry practitioners typically use to design crews of masons and analytically captures the realities of masonry construction jobsites when managing labor. Secondly, it attempts to quantify and mathematically model the practices that contractors use for crew makeup and evaluate labor management allocation both in terms of contractor requirements and worker needs. Literature review indicates that the existing models for labor allocation have not taken into consideration masonry site realities. An optimization framework, which combines masonry site realities from the semi-structured interviews is proposed. The framework results in a MIP model that is used to solve a crew scheduling and allocation problem. The model is formulated to determine which masons are in a crew and to assign crews to the different walls in a project. Additionally, it is used to evaluate crew design strategies that maximize productivity.

In the past 15 years, state financial support for public universities has declined, when measured as a proportion of current-fund revenues while expenditures, in the same time period have risen dramatically. In this mixed methods study, several theories were used to explain patterns of university resource allocation: The economic theory of the firm , resource dependency theory, rational/political and critical/political. The research combines d'Sylva's (1998) and Volk's (1995) work and considers, by measuring directly the role of administrators who have budget authority, the impact of the socially constructed production function. The study uses d'Sylva's work extensively in order to create the baseline econometric analysis by including the relevant variables. In addition, the study adds to the existing body of knowledge by providing a broader understanding of production functions that encompasses the role of the socially constructed production function by key administrators who have budget authority. To test and explore the theories, departmental instructional and research productivity data from the AY 1999 American Association of Universities Data Exchange are examined. The quantitative data sample consisted of 10 major public Research I universities and 152 departments. OLS and GLM regressions, following a semi-log specification were employed to estimate the rate of return to instructional productivity, research productivity, and departmental quality. The qualitative sample consisted of six administrators with budget authority from one Research I university. A thematic analysis technique was employed in order to identify salient themes related to internal resource allocation. Significant findings are that undergraduate instruction and departmental quality yield high returns to departmental earnings. Cross-subsidization exists and some departments within fields enjoy "halo effects" above and beyond their productivity and merit. In describing the socially constructed nature of such difference, one dean is cognizant that his college is very productive and efficient delivering "cheap" instruction, yet it is penalized in the allocation formula. Similarly, another dean is very aware that his college has large numbers of women and minorities that help in the "coloring" of the university, and that disadvantages his college in the allocation formula.

The United States is facing a rising average age of principal farm operators and a decline in number of beginning farmers. With numerous barriers and challenges resulting in many farm failures, a majority of beginning farmers are relying on off-farm income to support their households. Decision-making and farm business planning are difficult skills to develop and improve, and the ability to develop a plan to balance on- and off-farm labor could allow farmers to make more profitable decisions. In this study, a General Algebraic Modeling System (GAMS) is used to develop a labor management planning framework for use by Virginia's beginning vegetable farmers or service providers, such as extension agents, with the goal of improving total (on- and off-farm) profitability and farm viability. Study findings suggest that a willingness to work of 12 hours per day, 365 days per year and hired labor costs of $9.30 per hour, which is the national average for agricultural workers encourage a farmer to maintain an off-farm job, while a relatively lower off-farm wage or salary may encourage a farmer to work on the farm only. Lastly, higher hired labor costs may encourage a farmer to pursue his or her most profitable work opportunity, be it on- or off-farm, without hiring labor to maintain the farm. The model developed in this study may be used to plan multiple years of farm management to include anticipated changes in off-farm employment opportunities, land availability, product mix, and access to farm labor. The author suggests that beginning farmers who use this planning tool are able to make more informed decisions related to allocation of labor time and resources, resulting in lower failure rates for beginning farmers in Virginia. A user-friendly interface may be developed based on the study framework, to strengthen the results and increase the practicality of the tool.
Master of Science

Les conséquences des chocs économiques négatifs sur les ménages ont été documentés extensivement, mais on en sait beaucoup moins sur la manière dont ces chocs sont transmis aux individus à travers la médiation du ménage. Le ménage contribue-il à modérer l'effet des chocs négatifs ? Dans quelle mesure le choc économique pèse-t-il dans la négociation familiale ? À partir de données sur la crise économique argentine de 2001, je montre d'abord que les femmes en couple ont une plus grande probabilité de devenir actives si leur mari a fait l'expérience d'un choc de revenu. Ensuite, je montre que le cycle économique importe dans les décisions d'investissement en capital humain. Sur le long terme, les profils de salaire et d'employabilité des hommes argentins sont affectés de manière persistante par les conditions économiques initiales au moment de l'obtention du diplôme. Enfin, je considère la dimension “man-cession” de la crise économique de 2009 en Espagne et montre que la part des ressources du ménage reçues par les femmes pour leur consommation privée augmente avec la diminution de l'écart des taux de chômage hommes-femmes, confortant l'hypothèse que les chocs négatifs modifient le pouvoir de négociation des individus au sein du ménage
The consequences of adverse aggregate shocks on households have been repeatedly documented, but far less has been said on the way they are passed over to individuals through the mediation of the household. Does the household contribute in mitigating the effects? Or does the economic shock rather invite itself at the family negociating table? Using the Argentine 2001 economic crisis as a natural experiment, I first show that married women are more likely to enter the labor market if their husband experienced a loss in income, giving credit to the insurance mechanism. Then, I show that the business cycle matters for investments in education, and that long run labor outcomes of Argentine men are persistently affected by the initial conditions upon graduation. Finally, I consider the “Mancession” dimension of the Great Recession in Spain and demonstrate that the resource share accruing to wives for own consumption increases together with the decreasing unemployment gap, which comes in support to the bargaining hypothesis

This study had two main objectives. The first objective was to determine the factors that influence rural households’ labour allocation and supply decisions for competing livelihood activities, including wetland activities. The second objective was to: develop an ecological-economic model establishing the linkages between the economic and ecological components in a wetland system and apply the model to evaluate the impacts of alternative wetland management and policy regimes on wetland functioning; and supply ecosystem services and economic well-being. To achieve the first objective an agricultural household framework was used. The reduced form labour use and supply equations for wetland products and agricultural grain, derived from optimising the agricultural household model, were estimated jointly using a seemingly unrelated regression model. The model was fitted to data collected from a survey of 143 households in a wetland system in the Limpopo basin of South Africa. Results showed that poor households, most of whom are female-headed households, have less capacity to participate in off-farm employment and rely heavily on farm and wetland activities for their livelihood. This implies that environmental protection policies that limit access to the wetland resources will deepen poverty as the poor will suffer more from deprivation of resources, which play a key role as a livelihoods safety net for the poor. This suggests that in order to enhance the sustainable management of wetlands there is need to identify and promote local level wetland management practices that allow the poor to use wetlands to enhance their economic well-being with minimum adverse effects on wetland ecological conditions instead of adopting strict wetland protection measures. In addition, there is also a need to broaden the opportunities for the poor to diversify into off-farm livelihood activities. This minimises the risks of income fluctuations associated with farm and natural resource-base livelihood sources and therefore provides the necessary positive incentives for wetland conservation and sustainable use. Better access to education is an important instrument for enhancing the poor’s ability to diversify into off-farm livelihood options. These results suggest that wetland conservation and sustainable use has to be integrated with the broader rural poverty reduction initiatives such as: improved access to education; investment in irrigation infrastructure; and improving access to markets. Results also indicate that a household’s exogenous income and wealth status (asset endowment) enhance farm production whilst reducing dependence on wetland products for livelihood. The government should pursue policy measures that reduce rural household liquidity constraints and enhance investment in productive assets (e.g. improving rural household access to credit and off-farm income opportunities) to boost farm production and enhance wetland conservation and sustainable use. To achieve the second objective the study developed a dynamic ecological-economic model. The model is based on the system dynamics framework to capture the multiple interactions and feedback effects between ecological and economic systems. The application of the model in simulating policy scenarios suggests that wetland ecosystem services (crop production and natural resource harvesting) are interlinked with trade-offs involved through their competition for labour, water and land resources. Policy scenario simulation results showed that diversifying livelihoods out of agriculture simultaneously improves economic well-being and enhances wetland conservation. Pure conservation strategies impose significant losses in the economic welfare of the local population unless supported by diversification of livelihood sources. The simulation results also show that the development of a competitive marketing system for harvested biomass products increases returns to wetland biomass products relative to that of wetland grain and it reduces conversion of wetlands to agriculture. Simulation of the predicted reduction in annual precipitation due to climate change in southern Africa showed that climate change is likely to accelerate the conversion of wetlands to agriculture, confirming the important role wetlands play in managing climate variability in smallholder agricultural systems. Government policies that support livelihood diversification into off-farm livelihood opportunities and improve the capacity of the rural poor to adapt to climate change, especially droughts, are critical for wetland conservation and sustainable use.
Thesis (PhD)--University of Pretoria, 2011.
Agricultural Economics, Extension and Rural Development
unrestricted

A fundamental question in a sequential decision making setting under uncertainty is “how to allocate resources amongst competing entities so as to maximize the rewards accumulated in the long run?”. The resources allocated may be either abstract quantities such as time or concrete quantities such as manpower. The sequential decision making setting involves one or more agents interacting with an environment to procure rewards at every time instant and the goal is to find an optimal policy for choosing actions. Most of these problems involve multiple (infinite) stages and the objective function is usually a long-run performance objective. The problem is further complicated by the uncertainties in the sys-tem, for instance, the stochastic noise and partial observability in a single-agent setting or private information of the agents in a multi-agent setting. The dimensionality of the problem also plays an important role in the solution methodology adopted. Most of the real-world problems involve high-dimensional state and action spaces and an important design aspect of the solution is the choice of knowledge representation. The aim of this thesis is to answer important resource allocation related questions in different real-world application contexts and in the process contribute novel algorithms to the theory as well. The resource allocation algorithms considered include those from stochastic optimization, stochastic control and reinforcement learning. A number of new algorithms are developed as well. The application contexts selected encompass both single and multi-agent systems, abstract and concrete resources and contain high-dimensional state and control spaces. The empirical results from the various studies performed indicate that the algorithms presented here perform significantly better than those previously proposed in the literature. Further, the algorithms presented here are also shown to theoretically converge, hence guaranteeing optimal performance. We now briefly describe the various studies conducted here to investigate problems of resource allocation under uncertainties of different kinds: Vehicular Traffic Control The aim here is to optimize the ‘green time’ resource of the individual lanes in road networks that maximizes a certain long-term performance objective. We develop several reinforcement learning based algorithms for solving this problem. In the infinite horizon discounted Markov decision process setting, a Q-learning based traffic light control (TLC) algorithm that incorporates feature based representations and function approximation to handle large road networks is proposed, see Prashanth and Bhatnagar [2011b]. This TLC algorithm works with coarse information, obtained via graded thresholds, about the congestion level on the lanes of the road network. However, the graded threshold values used in the above Q-learning based TLC algorithm as well as several other graded threshold-based TLC algorithms that we propose, may not be optimal for all traffic conditions. We therefore also develop a new algorithm based on SPSA to tune the associated thresholds to the ‘optimal’ values (Prashanth and Bhatnagar [2012]). Our thresh-old tuning algorithm is online, incremental with proven convergence to the optimal values of thresholds. Further, we also study average cost traffic signal control and develop two novel reinforcement learning based TLC algorithms with function approximation (Prashanth and Bhatnagar [2011c]). Lastly, we also develop a feature adaptation method for ‘optimal’ feature selection (Bhatnagar et al. [2012a]). This algorithm adapts the features in a way as to converge to an optimal set of features, which can then be used in the algorithm. Service Systems The aim here is to optimize the ‘workforce’, the critical resource of any service system. However, adapting the staffing levels to the workloads in such systems is nontrivial as the queue stability and aggregate service level agreement (SLA) constraints have to be complied with. We formulate this problem as a constrained hidden Markov process with a (discrete) worker parameter and propose simultaneous perturbation based simulation optimization algorithms for this purpose. The algorithms include both first order as well as second order methods and incorporate SPSA based gradient estimates in the primal, with dual ascent for the Lagrange multipliers. All the algorithms that we propose are online, incremental and are easy to implement. Further, they involve a certain generalized smooth projection operator, which is essential to project the continuous-valued worker parameter updates obtained from the SASOC algorithms onto the discrete set. We validate our algorithms on five real-life service systems and compare their performance with a state-of-the-art optimization tool-kit OptQuest. Being ��times faster than OptQuest, our scheme is particularly suitable for adaptive labor staffing. Also, we observe that it guarantees convergence and finds better solutions than OptQuest in many cases. Wireless Sensor Networks The aim here is to allocate the ‘sleep time’ (resource) of the individual sensors in an intrusion detection application such that the energy consumption from the sensors is reduced, while keeping the tracking error to a minimum. We model this sleep–wake scheduling problem as a partially-observed Markov decision process (POMDP) and propose novel RL-based algorithms -with both long-run discounted and average cost objectives -for solving this problem. All our algorithms incorporate function approximation and feature-based representations to handle the curse of dimensionality. Further, the feature selection scheme used in each of the proposed algorithms intelligently manages the energy cost and tracking cost factors, which in turn, assists the search for the optimal sleeping policy. The results from the simulation experiments suggest that our proposed algorithms perform better than a recently proposed algorithm from Fuemmeler and Veeravalli [2008], Fuemmeler et al. [2011]. Mechanism Design The setting here is of multiple self-interested agents with limited capacities, attempting to maximize their individual utilities, which often comes at the expense of the group’s utility. The aim of the resource allocator here then is to efficiently allocate the resource (which is being contended for, by the agents) and also maximize the social welfare via the ‘right’ transfer of payments. In other words, the problem is to find an incentive compatible transfer scheme following a socially efficient allocation. We present two novel mechanisms with progressively realistic assumptions about agent types aimed at economic scenarios where agents have limited capacities. For the simplest case where agent types consist of a unit cost of production and a capacity that does not change with time, we provide an enhancement to the static mechanism of Dash et al. [2007] that effectively deters misreport of the capacity type element by an agent to receive an allocation beyond its capacity, which thereby damages other agents. Our model incorporates an agent’s preference to harm other agents through a additive factor in the utility function of an agent and the mechanism we propose achieves strategy proofness by means of a novel penalty scheme. Next, we consider a dynamic setting where agent types evolve and the individual agents here again have a preference to harm others via capacity misreports. We show via a counterexample that the dynamic pivot mechanism of Bergemann and Valimaki [2010] cannot be directly applied in our setting with capacity-limited alim¨agents. We propose an enhancement to the mechanism of Bergemann and V¨alim¨aki [2010] that ensures truth telling w.r.t. capacity type element through a variable penalty scheme (in the spirit of the static mechanism). We show that each of our mechanisms is ex-post incentive compatible, ex-post individually rational, and socially efficient

This book, in honour of Kaushik Basu, celebrates his contributions over the last four decades. It contains contributions by his present and past collaborators, and research students. Not only has Basu worked on several deeper abstract issues in welfare analysis and decision making, he has also addressed, both as a researcher and as a policy advisor, several policy issues such as rent control, child labour, labour laws, harassment, shared prosperity, and gender empowerment. The contributions from authors in this volume, theoretical as well as empirical, reflect this range of issues in the broader context of interactions between markets, governance, and institutions in the process of economic development. The broader roles of markets as key resource allocation mechanisms cannot be disputed. But they need suitable governance structures and institutions, working both as facilitators and as regulators. The book looks at the complex interactions between these three forces of development. The book has three parts. In Part I, contributors look at various foundational and measurement issues associated with economic development and well-being. Part II deals with the functioning (and non-functioning) of markets in the context of development, showing how we may need to move beyond the market. In Part III, the final part, contributors look at various issues related to governance and institutions in terms of their overall structure and specific designs.

The aim of this book has been to evaluate the relationship between Britain’s financial sector, based in the City of London, and the social democratic economic strategy of post-war Britain. The central argument presented in the book was that changes to the City during the 1960s and 1970s undermined a number of the key post-war social democratic techniques designed to sustain and develop a modern industrial economy. Financial institutionalization weakened the state’s ability to influence investment, and the labour movement was unable successfully to integrate the institutionalized funds within a renewed social democratic economic agenda. The post-war settlement in banking came under strain in the 1960s as new banking and credit institutions developed that the state struggled to manage. This was exacerbated by the decision to introduce competition among the clearing banks in 1971, which further weakened the state’s capacity to control the provision and allocation of credit to the real economy. The resurrection of an unregulated global capital market, centred on London, overwhelmed the capacity of the state to pursue domestic-focused macroeconomic policies—a problem worsened by the concurrent collapse of the Bretton Woods international monetary system. Against this background, the fundamental social democratic assumption that national prosperity could be achieved only through industry-led growth and modernization was undermined by an effective campaign to reconceptualize Britain as a fundamentally financial and commercial nation with the City of London at its heart....

In Chapter 6 we used our basic OLG model to discuss the welfare and efficiency effects of various policy reforms. Of course, we have to be cautious in drawing robust conclusions fromsuch a policy analysis. In the basic model households only decide on their intertemporal consumption allocation. Hence, public policy solely distorts the savings decision and, consequently, most of the policy reforms hardly impact on economic efficiency but only redistribute across cohorts. Our analysis could be much more instructive when decisions of economic agents are multidimensional, so that various distortions induced by public policy interact. In this chapter we therefore introduce an extended individual decision process. Households not only decide on their savings, but also on their time use. Given a specific time endowment (say a day or a year), agents can either work in the market (and earn income), go to school (and acquire human capital for future income generation), or consume leisure. Public policy may distort all of these decisions. A good policy thus has to create a balance between intertemporal and intratemporal distortions. Finally, we study the implications of lifespan uncertainty and missing annuity markets, asking how public policy can improve the allocation of resources by providing insurance against longevity risk. In this section we allow households to decide how many hours to work in each period. The remaining time is used for leisure consumption which now features in household utility. Leisure demand in each period of the life cycle strongly depends on the respective value of human capital hj, which measures the value of the time endowment in terms of labour market productivity. Hence agents may work the same number of hours, but they may be differently productive, so that they earn a different wage per time unit. Whenever the wage a household earns in the labour market is very small, the household might want to consume more leisure than the actual time endowment. In order to guarantee that the time endowment is met, we calculate a so-called shadow wage μj,s. The shadow wage is added to the regular wage of the household and calculated such that the household’s optimal decision consists in consuming the household’s total endowment of time as leisure.

Every organization needs a staff appropriate for its tasks in order to accomplish its business objectives, both now and in the future. To gain insight into the quality and number of staff needed in the future, human resource forecasting models are being used. This chapter addresses the design of a simulation model for human resources forecasting, which is being developed for the Chief of Naval Personnel, Royal Netherlands Navy. The aim is to provide the Director of Naval Manpower Planning with tools that give insight into the effects of strategic decisions on personnel buildup, and the effects of changes in personnel on reaching the organization’s business objectives.

This chapter by Kevin Smith examines Britain's survival in the Second World War and how it depended upon maintaining its lines of maritime communications for overseas supplies. Obsession with anti-submarine warfare obscures examination of complementary British managerial efforts to maximize merchant shipping capacity – especially through the key task of rapid, thorough repair of damaged cargo vessels. An examination of the comparative cost to shipping capacity imposed by submarine attacks and by repair delays illustrates the need to integrate our analysis of the managerial and martial aspects of maritime warfare by suggesting that even after acknowledging the permanent loss of sunken ships, the much larger volume of ships immobilized by reason of repair imposed a comparable reduction in cargo capacity. Consequently, Britain's dependence upon American allocations of newly-built cargo vessels was exacerbated. One especially important impediment to repairing ships (and a legacy of the Great Depression) was bitter class conflict between shipyard workers and shipbuilders, especially the Admiralty Controller of Merchant Shipbuilding and Repair – as well as between that Controller and the Minister of Labour. This chapter suggests new avenues toward situating maritime warfare in a broader context.

This chapter focuses on two aspects of the debate on the role of women in growth and development: the impact of lack of access to infrastructure on women's time allocation and the role of inter- and intragenerational health externalities—namely, how mothers' time allocation decisions affect their children's health, and how health in childhood affects health in adulthood. To do so, a gender dimension is added to the analytical framework presented in the previous chapters. The chapter begins with a review of the recent evidence on women's time allocation, with a particular focus on the implications of poor access to infrastructure services, and on intergenerational health externalities. The model is then presented and its properties analyzed. The impact of public policy is considered next, and the implications of the analysis for the debate on the relationship between women's labor supply and the level of development are discussed. The concluding section considers various extensions.

Not long after St. Louisans entered into the new year of 1969, the final year of a decade of significant social upheaval at the local and national level, thousands of public-housing tenants struck against the St. Louis Housing Authority (SLHA). Together, the black working-class women whose lives were at the center of the debate over the future of the city staged one of the largest and earliest demonstrations of its kind. National news outlets provided coverage, politicians at the local, state, and national level weighed in and amended or adopted policies as a result, and several strike leaders emerged as national figures. While they issued numerous demands to city officials, above all, dissidents called for dignity and control. Drawing upon support from key leaders, public sympathy, and the sustainable political communities that they had built over time, strikers demanded the redistribution of power and a greater allocation of resources to manage their own affairs and become key brokers in decision-making processes. Their hard-hitting politics and critical views about municipal authority and governance were deeply rooted in their insistence on making black working-class women’s survival a matter of public concern....

Due to globalization, entrepreneurship has become fundamental for the competitiveness of countries, and as shown by the Triple Helix Framework enterprises, universities and governments must create synergies to their mutual advantage. In Kazakhstan, a Post-Soviet transition economy, gross domestic product has doubled over the past decade thanks to the extractive and heavy industries and on an intensive use of electricity produced from coal. The authors present a goal programming model for environmental policy analysis involving criteria such as economic development, electricity consumption, greenhouse gas emissions, and the total number of employees to determine the optimal labour allocation across different economic sectors. The purpose is to provide empirical evidence and policy recommendations to decision makers in developing the optimal strategy able to simultaneously satisfy energy demand, decrease GHG emissions, increase economic growth, and foster labour development by 2050. The analysis will allow to compare Kazakhstan with similar economies.

The chapter explores how our understanding of financial decision-making in the Roman world might be expanded by an exploration of the linguistic and accounting frameworks which landowners employed. By analysing some of the key terms used in the agricultural treatises of Cato, Varro and Columella, which were written at different points in the Roman era, it traces progressions in the use of the terms used to describe income, expenditure, labour, and profit, and suggests that these might demonstrate changes in how investments in the supplementary income streams offered by the pastio villatica were viewed as against the returns available from the core crops of grain oil and wine. The agronomists’ understanding of distinctions between investment and consumption is illustrated by examples of their use of sumptus and impensae, whilst a discussion of fructus quaestus and reditus illuminates shifts in how income and profit were conceptualized. Labour was a key factor of production and it is argued that, whether provided by hired hands or slaves, the use of the opera as a unit of measurement may mean that it was seen as a store of value to be allocated as part of the investment evaluation process. Finally, an analysis of the employment of utilis and expedit suggests that different value-systems might have been applied to core crops and supplementary products, possibly providing a cognitive impediment to the efficient allocation of investment resources.

Nuclear accident and nuclear terrorism are of great threats to international security. The countermeasures against nuclear emergency situation should be deliberately considered before it happened. In accordance with experience from Fukushima Daiichi Accident, various kinds of complex situations must be considered at the phase of emergency preparedness. And all related schedules, including national laws and regulations, allocation of responsibility and authority, emergency plans and procedures, facilities, instruments, trainings and exercises must be examined. The appropriateness of the emergency preparedness and the emergency response capability need to be verified through emergency exercises. However, exercises are usually costly and labor-intensive. So, it is necessary to design a software system to help conduct emergency exercises simulation. A Nuclear Emergency Decision Deduction and Training Platform (NEDDTP) is designed in China Nuclear Security Center of Excellence, which aims at performing the simulation of nuclear emergency process and providing a training platform for emergency workers. 3D models, the environment of nuclear power plant (NPP), some physical numerical models for simulating and several typical nuclear emergency scenarios for training are included in the platform. NEDDTP realizes the function of digitization of scenario, emergency simulation, resource management, command and dispatch, process record and evaluation in exercise, and it also provide VR display for emergency workers.