16,167 research outputs found

    Capacity Investment under Demand Uncertainty. An Empirical Study of the US Cement Industry, 1994-2006

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    Uncertainty about the level of demand is thought to influence irreversible capacity decisions. This paper examines some implications of the theory literature on this topic in an empirical study of the US cement industry between 1994 and 2006. Firms in this sector have the ability to deliver cement either from domestic plants or from imports. Since cement is costly to transport via land, the difference in marginal cost between local production and imports varies across local markets. The marginal cost of imports is lower in areas with access to a sea port, decreasing the relative value of investing in local capacity sufficient to supply positive local demand shocks. In the presence of uncertain demand, firms may choose to serve these markets via both domestic production and imports. Consistent with the theory, we find a negative relationship between the average level of excess capacity and demand volatility only for coastal areas. An increase in demand volatility is associated with an increase in excess capacity only in landlocked areas. More generally, the paper shows that the cost of imports relative to the cost of domestic production affects the relationship between uncertainty and domestic capacity decisions. The results suggest that a unilateral climate policy in the US may induce a partial international relocation of capacity in carbon intensive industries, such as cement, by increasing the relative cost of domestic production.capacity investment, demand uncertainty, imports, cement

    The Influence of Curriculum Customization on Grade 3 Student Achievement in Language Arts and Mathematics in New Jersey’s 30 Poorest School Districts

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    The purpose for my correlational cross-sectional study was to explore the influences of proximal and distal forces on curriculum development and how it affects student achievement as it pertains to NJ ASK Grade 3. I sought to determine the strength and direction of the relationships between curriculum customization at the local level and student achievement on the NJ ASK 3 in Mathematics and Language Arts. Seventy-four elementary principals were surveyed pertaining to development, design, and implementation of their curriculum

    An Overall Policy Decision-Support System For Educational Facilities Management: An Agent-Based Approach

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    Although K-12 public school facilities infrastructure investments are second only to highways, schools continue to suffer from an approximately $38 billion annual funding gap. Massive reductions in funding are forcing school districts to make tough decisions to optimize maintenance expenditures. Over the last three decades, a huge body of research has determined that the condition of school facilities do affect student health and performance, and some have further demonstrated that schools are overwhelmed by deteriorating facilities that threaten the health, safety, and learning opportunities of students. The currently available educational facility management approaches oversee the influence of the complex and mutual interactions between a school facility and its occupants. This thesis aimed to develop an overall decision support system for decision-makers that promotes efficient planning and management of educational infrastructure system by embracing a proactive management style rather than reactive. The proposed system consists of three main components: (1) an overall condition prediction model for educational facilities as a whole, (2) a tactical level Agent-based model (ABM) for classroom interaction simulation, and (3) a strategic level ABM for maintenance budget allocation. ABM was selected for its flexibility, natural representation of the problem, and suitability for modeling real-world complex systems with heterogenous agents. The first tool was accomplished through the development of a three-stage condition prediction methodology. The first stage aims to recognize the deterioration pattern of the educational facility as a whole by utilizing a Markov chain modeling approach. The second stage focuses on determining the overall useful service life of educational facilities. The third stage identifies the higher and lower limits of the educational facilities’ deterioration rate. The resulted model can help decision-makers plan and forecast their maintenance needs and better manage the available resources. The proposed methodology can be applied to any multi-component asset. The second tool, the tactical level decision support ABM, was developed to provide decision-makers with new insights into the effects of different maintenance polices on the educational system. The model simulates day-by-day classroom interactions and highlights the importance of preventive maintenance on the educational system’s major stakeholders (agents). The third decision support tool presented in this research is the strategic level model for testing the effects of different maintenance budget allocation strategies on the school district revenues, overall performance, enrollment size, and land values over years. ABM enhances the overall comprehension of the current situation and its complex relations, increases resource allocation efficiency, highlights the important factors affecting the system that are overlooked in traditional management styles, thereby improving the quality of educational outcomes. The main challenge in developing the proposed ABM was identifying and quantifying the main stakeholders’ complex interactions due to the uncertainties inherent in human behavior. This thesis demonstrated the need for a holistic bottom-top asset management modeling approach rather than asset-centric top-down approach. The case study results of this research confirmed that ABM has great potential as an asset management tool for decision-makers that can provide a comprehensive and holistic understanding of the system dynamics

    Measuring Educational Gains and Setting Consequences: Charter Schooling and the No Child Left Behind Policy

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    The charter school movement and the federal legislation No Child Left Behind (2001) have put a process in motion through which parents and students can opt out of the established public education system. This thesis is an in-depth study of one Pittsburgh charter school within the context of a critique of public education in American history. Empirical data was collected through a triangulated research design, which included interviews, surveys, field observations, and content analysis. Determining the features of a charter school that make classroom dynamics more or less effective than those in traditional public schools was the original micro-level focus of this research. Making policy recommendations for public school districts in relation with No Child Left Behind emerged as the macro-level focus. This dual focus is intended to increase educators\u27 and policymakers\u27 knowledge about school improvement models, especially in large urban systems

    Graduation Policies in a Public High School (A Case Study)

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    This report shares research conducted in a case study of one higher performing high school to examine the practices, challenges and facilitators of implementing a standards-based curriculum and proficiency-based diploma systems

    Monitoring motivation and academic growth in writing for young English language learners

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    The purpose of this study was to explore the technical adequacy and appropriateness of using benchmarks established with the general population with two forms of Curriculum Based Measures-Writing (CBM-W), Word Dictation (WD) and Picture Word (PW), with English Language Learners (ELs) in the 1st through 3rd grades as well as explore the utility of combining a measure of motivated academic behavior (i.e., Social, Academic, and Emotional Behavior Risk Screener-Academic Behavior subscale (SAEBRS-AB)) with CBM-W for identifying risk in writing for young ELs. ELs in the 1st through 3rd grades (n = 71) were administered two forms of WD and PW in the fall, winter, and spring of the same academic year. Teachers (n = 9) also completed the SAEBRS-AB at each time-point for each participating student. Correlations between forms at each time-point were used to establish alternate form reliability and validity was established using two criterion measures via correlations and regression. The utility of combining CBM-W with SAEBRS-AB was examined via logistic regression and Receiver Operator Characteristic (ROC) curve analysis using researcher determined cutscores for risk on the two criterion measures. Results indicated that both forms of CBMW are reliable and valid measures of general writing performance for young ELs, that benchmarks drawn from the general population are generally applicable to young ELs, and that integrating the SAEBRS-AB with either form of CBM-W improves diagnostic accuracy.Includes bibliographical reference

    Base RDT&E investment strategy

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    Issued as Statement of work, and Reports [nos. 1-5], Project D-48-628 (subproject E-20-616
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