Multidimensional scaling of consumer preferences for a public transportation system: An application of two approaches

Consumer attitudes toward a proposed new public transportation system were assessed through the application of two multidimensional scaling models to data on preference choices for system attributes. Carroll's vector model and Kruskal and Carmone's nonmetric unfolding model were compared on theoretical and empirical levels to determine their utility for exposing the latent structure of attitudes for a public project. While the unfolding model was attractive because of a theoretical property, the vector model was able to uncover latent dimensions for the attitudes which could be related via discriminant analysis to socio-economic and demographic characteristics of the respondents. The vector model also produced an outcome which was more closely related to a unidimensional analysis of these data. Therefore, even though both the vector and unfolding models produced plausible geometric representations of the attitudes which arc expected to aid urban transportation planners in designing systems, the vector model produced the more acceptable outcome.     

A multi-level model for studying the context and impact of work–family policies and culture in organizations

The purpose of this paper was to provide an integrative multi-level framework that could help scholars study the impact of work–family policies on individual employees as well as assist practitioners in making informed decisions regarding the adoption, design, implementation, and allowance of these policies. This multi-level model illustrates the various macro- and mesolevel factors that may influence individual perceptions (i.e., equity perceptions, negotiation power, sense of entitlement) regarding work–family policies. By providing such a model, a common language may be developed for researchers from various disciplines studying this issue and better insight into the various linkages that are involved. Additionally, the framework can provide HR practitioners with a deeper understanding of the contextual factors that may influence the effectiveness of work–family policies in their organizations.     

A multipurpose multilevel socio economic planning model: Theoretical framework and preliminary results

The authors specify a time series and cross section model which consists of 20 reduced form equations consisting of 64 socioeconomic variables for which data are available at the U.S.A. county level. The design of a model at this level of detail permits analysis at the multicounty level for regions and states and is also applicable for nations where socioeconomic data files are not plentiful. In addition to the multilevel geographic applicability of the model, it consists of variables measured in terms of growth rates so that intersectoral consistency checks can be integrated in the development of policy sensitive applications of the model. Finally, the model consists of a series of sector by sector equations to facilitate policy tests and to simplify the simultaneity requirements of the model. Preliminary results are presented for the State of Maryland and its 24 counties.     

Employee recruitment and job search: Towards a multi-level integration

This study describes an attempt to develop an integrative model of job search and employee recruitment. Inevitably multi-level in nature, the model demonstrates the interplay between organizational-level factors and individual-level factors in influencing the outcomes of employee recruitment and job search activities. According to the model, influenced by job seeker and organizational characteristics, job search and recruitment activities jointly create job awareness, which is the first step in organizational attraction. Next, depending on the job seeker's current job situation, this attraction leads to job pursuit intention and behavior. The model also emphasizes the longitudinal nature of the process by which individuals gain employment. Finally, since each organization's applicant pool consists of job seekers with some common characteristics attracted to the same position, the model proposes that recruitment and job search can be examined by utilizing a multilevel framework.     

Corporate implementation of socially controversial CSR initiatives: Implications for human resource management

An organization's success in recruiting, selecting, and retaining employees can be attributed, in part, to reactions to a firm's CSR activities. Today, organizations appear to be more frequently pursuing CSR initiatives that are related to social issues. Unlike CSR initiatives which are unrelated to social issues, those that are attached to social causes are more likely to be perceived as controversial. Consequently, how individuals view such actions can impact their perceptions of the firm and may lead to changes in individual behavior. Grounding this work in social identity theory, we explore the effect controversial CSR actions can have on HRM functions. The goal of this effort is to explore and delineate how this shift in CSR may alter the nature of the CSR-HRM relationship and to examine the potential implications for HRM practice. Future directions for research and HRM practice are discussed.     

An approach to evaluate incentive policies for energy development

The federal energy agencies are continuously seeking new energy resources to make the U.S. self-sufficient in its energy requirements. Geopressured resources have been identified for quite some time as possible candidates. However, the fundamental barriers to commercializing this source of energy are the excessive capital investments necessary and high uncertainty. This study proposes a methodology for exploring the use of economic incentives as instruments to stimulate the growth of geopressured resource development in the United States. It also identifies how incentive policy options are related to the fundamental barriers against a U.S. geopressured gas capability. The study models the geopressured development project as a Monte Carlo simulation. The geopressured system model simulates the production from a known geopressured resource. The profitability of the geopressured resource development project under alternate incentive policy options is evaluated as to their impact on two base case scenarios of potential investors in such development projects. The evaluations concern the policy impacts on improving project economics and risks. Results indicate that economic incentive policies are effective tools for improving the profitability of geopressured resource development projects. Each incentive serves different purposes with regard to inherent economics, project risks, marketplace uncertainties, and developers' access to capital. The effectiveness of the incentive policies depends on the developer's attitudes and attributes.     

An alternative model for fair share allocation of lower income housing

A linear programming model was developed and presented for fair-share allocation of lower income housing as an alternative to existing heuristic models. The model is applied for the Middlesex County region in pursuit of a regional fair-share of lower income housing needs for the year 1975 for each township in the county. The results are presented and compared with those of the Court's allocation, held by the Superior Court of New Jersey in May 1976 for the Middlesex County region.     

Developing a multiple-criteria decision analysis for green economy transition: a Canadian case study

ABSTRACT

Identifying planning strategies for the transition to a green economy is a formidable challenge. We proposed a novel multiple-criteria decision analysis model which can quantitatively identify the socio-economic and environmental impacts of various government and public policies. We applied the model to four practical scenarios in Canada for determining the optimal final demand that maximizes the country's GDP and employment while minimizing GHG emissions for small, short-term changes. As a result, the model suggested potential ways to simultaneously achieve a GDP growth of 2.5 billion CAD and creation of over 25,000 new jobs, and a saving of 2514 kt CO₂. As per the final demand, the electrification of domestic heating and transport should be more promoted. The proposed analysis tool will provide decision-makers with the ability to explore the design and effects of policy reforms, regulatory changes, and targeted public expenditure strategies, thereby overcoming barriers towards a green economy.     

A model for diagnosing organizational behavior

This article has presented a general approach for thinking about organizational functioning and a process for using a model to analyze organizational problems. This particular model is only one way of thinking about organizations; its clearly not the only model, nor can we claim it's definitively the best model. It is one tool, however, that may be useful for structuring the complexity of organizational life and helping managers create, maintain, and develop effective organizations.     

Estimating the economic impacts of public spending in a sub-region: an econometric approach.

Expenditures on a public institution represent not only a cost to the taxpayer but an economic benefit to the region in which it is located. The economic impact on a region's income is here calculated through an econometric model and associated multipliers. The impact on government income tax recepits is similarly calculated. The tax revenues are also used in determining the net cost of operation of the institution. These calculations are performed for the expenditures associated with the new State University Hospital at Stony Brook, N.Y. located in the region formed by Nassau and Suffolk Countries. The regional income multiplier is found to be 1.64.     

The demand for deductibles in private health insurance: A probit model with sample selection

In this paper we analyse the decision to prefer a health insurance with a deductible to one with complete coverage. We focus on health, medical consumption, and on socio-economic characteristics like age, income, education and family size. The analysis is based on a sample of 8000 privately insured families; about 60 percent of them did not wish to have a health insurance policy with a deductible. A corrective method for sample selectivity, analogous to Heckman's (1979) method, has been applied in probit analysis; the estimation results are compared with the maximum-likelihood estimates. Health, medical consumption and income are found to have a significant influence on the decision with respect to the type of insurance. Our results give an indication of the degree of adverse selection that may take place if health insurance policies are offered with the option to take a deductible in exchange of a premium reduction.     

Redefining Local Government Roles In Public Services

County officials in the seven-county metropolitan area of the State of Minnesota's Twin Cities of Minneapolis and St Paul were seeking to redefine county roles in service delivery. This article reports on a process model that was piloted on two services. The model was commissioned by officials; was based upon and informed by literature and comparative experience; began with an examination of functions performed; involved participants in focusing the study; was context-focused; and involved local stakeholders in projecting the implications of alternative county roles. These characteristics complicated the research management process because the process took more time, involved more actors, and required more coordination than traditional research. However, having stakeholders identify alternatives and bring factual material to the process was critical to the success of the model and including the comparative and contextual research both strengthened the policy conclusions and improved the probability of their adoption and implementation. A case of a Minnesota county that followed the model in an effort to reform water governance within the county illustrated adoption of the approach. The stakeholder analysis process was previously applied in Africa, China and Southeast Asia and the model should be applicable to a wide range of settings and problems.     

The location theory of firm revisited impacts of rising energy prices

The impact of rising energy prices on the locational pattern of industries is analyzed by a simple two-firm straight line location model. The concavity of average cost function of final consumer's good with respect to locational variables is proved for the case of linear homogeneous Cobb- Douglas production functions and this leads to the possible three cases of end-point location. The rise in energy prices induces ‘double location at the market’ or ‘double location at the port’ instead of separate location of two industries, i.e., intermediate good industry and consumer's good industry.     

A spatial interaction model for the allocation of higher education enrollments

The purpose of this paper is to present the results of research efforts in developing an enrollment forecasting system for the State of Ohio's higher education system. The model constructed employs the concept of spatial interaction in attempting to determine the “market share” which each of the 60 competing public colleges would be able to attract each year. An analogy is drawn between the educational process of college selection and the attraction to shopping centers of residents in surrounding communities. The article also addresses itself to the subjects of data bases, cost function development and the forecasting of actual enrollments at each rank for each institution.     

An empirical model of residential location and the journey-to-work in a metropolitan area

In this paper we present and estimate a single equation model designed to explain the residential location behaviour of individuals living in a multi-centered metropolitan area. We test the model for heads of households and non-heads of households separately, as well as for the total working population, in order to isolate differences in commuting behaviour between primary and secondary wage earners. The relationships are estimated from 1971 Census, cross-section data using least squares multiple regression. The data pertain to the Toronto Census Metropolitan Area (CMA) and sixty-three designated zones therein.The estimation results reveal that although location-rents prove to be significant in the individual's residential location decision-making process, their effect was limited to discouraging those employed in or near the central business district (CBD) from living close to work. The existence of secondary employment centres did not have the same significant effect in bidding up location-rents. Furthermore, contrary to the standard theory, the results suggest that residential location decisions are made in response to the availability of collective residential opportunities and workers' preferences for specific residential attributes rather than by reference to the “transportation cost—housing cost” trade-off. Among the socio-economic variables, age of the worker is found to be most significant in affecting journey-to-work distance. The results provide some evidence that non-heads are, to a certain extent, more sensitive to urban structural constraints in their commuting behaviour.     

Spatial equilibrium with local public goods: Urban land rent,optimal city size and the Tiebout hypothesis

This paper extends the standard model of urban land rent to consider the spatial equilibrium conditions in a local public goods market as hypothesized by Charles M. Tiebout. An analysis is made of the spatial dimensions of public goods, their degree of ‘localness’ and their impact on land values. It is shown that the optimal population size of the community (Tiebout's sixth assumption) is simultaneously derived with the optimal supply of local public goods and local taxes. It is also shown that land rent is a poor output indicator of Tiebout's equilibrium conditions and that the capitalization assumption is not the appropriate test for his hypothesis.     

Pitfalls of testing non-nested hypotheses by the lagrange multiplier method

In applied research in econometrics a general model determined from the current knowledge of economic theory often establishes a ‘natural’ method of embedding a number of otherwise non-nested hypotheses. Under these circumstances, significant tests of various hypotheses can be carried out within the classical framework, and tests of non-nested or separate families of hypotheses do not require development of new statistical methods. The application of some suitable variant of likelihood ratio testing procedure will be quite appropriate.There are, however, many ocassions in applied econometrics where the hypotheses under consideration are intended to provide genuine rival explanations of the same given phenomenon and the state of economic theory is not such as to furnish us with a general model that contains both of the rival hypotheses in a ‘natural’ and theoretically consistent manner. A number of investigators have advocated that even when a ‘natural’ comprehensive model containing both of the hypotheses under consideration cannot be obtained from theoretical considerations, it is still appropriate to base significant tests of non-nested hypotheses upon a combined model ‘artificially’ constructed from the rival alternatives. Moreover, in a recent paper on the application of Lagrange Multiplier (LM) tests to model specification, T.S. Breusch and A.R. Pagan (1980) have claimed that Cox's test statistic is connected to an LM or ‘score’ statistic derived from the application of the LM method to an exponentially combined model earlier employed by A.C. Atkinson (1970).Although the use of ‘artificially’ constructed comprehensive models fortesting separate families of hypotheses is analytically tempting, nevertheless it is subject to two major difficulties. Firstly, in many cases of interest in econometrics, the structural parameters under the combined hypothesis are not identified. Secondly, the log likelihood function of the artificially constructed model has singularities under both the null and alternative hypotheses.The paper firstly examines the derivation of LM statistics in the case of non-nested hypotheses and shows that Atkinson's general test statistic, or Breusch and Pagan's result, can be regarded as an LM test if the parameters of the alternative hypothesis are known. The paper also shows that unless all the parameters of the combined models are identified, no meaningful test of the separate families of the hypotheses by the artificial embedding procedure is possible, and in the identified case an expression for the LM statistic which avoids the problem of the singularity of the information matrix under the null and the alternative hypotheses is obtained.The paper concludes that none of the artificially embedding procedures are satisfactory for testing non-nested models and should be abandoned. It, however, emphasizes that despite these difficulties associated with the use of artificial embedding procedures, Cox's original statistic (which is not derived as an LM statistic and does not depend on any arbitrary synthetic combination of hypotheses) can still be employed as a useful procedure for testing the rival hypotheses often encountered in applied econometrics.     

Analysis of the impact of university policies on society's environmental perception

Today's society is showing great interest in achieving sustainable development in all socio-economic facets, and higher education institutions stand out as being proactive in this regard. University campuses are successfully implementing policies to curb climate change, energy and water conservation, waste recycling and green transport. In this struggle, education plays an essential role in shaping a population that is aware of the situation and willing to stop —and if possible undo— the damage caused. This study is aimed at evaluating universities' capacity to foster society's environmental perception and commitment. The analysis, which focuses on the Spanish and Italian campuses assessed by GreenMetric during the period 2018–2022, has a twofold objective: to identify the sustainable actions that have a direct impact on students' and researchers' awareness; and to analyse the efficiency of the environmental policies implemented by those responsible for these educational centres, as well as the differences between the two countries' universities. To that end, a panel data model is estimated on a sample composed of the pillars of GreenMetric, with DEA-bootstrap and the sequential Malmquist index then used to assess the efficiency of the actions undertaken. The results reveal the importance of the waste and transport policies implemented on campuses when it comes to the arduous task of kindling society's interest in the environment. Furthermore, both countries show increasing engagement, with productivity improvements of over 36% in the case of Italy.     

A linear programming model of housing market equilibrium

This paper reviews Wheaton's assertion that the Herbert-Stevens Linear Programming Model produces solutions which do not meet Alonso's criteria for market equilibrium. It demonstrates that, although Wheaton's criticism is valid in general, under certain conditions an alternative specification of the objective function coefficients and the dual variables in the linear program produces a model whose solutions satisfy Alonso's criteria. Finally, this paper shows that the NBER model is an application in which a linear programming problem computes market equilibria.