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Assessing the economic viability of alternative water resources in water-scarce regions: Combining economic valuation, cost-benefit analysis and discounting

This paper demonstrates a comprehensive methodology for assessing the viability of an environmental management plan that has long-run economic and ecological impacts. The case study under consideration is the implementation of a water resource management plan in a water-scarce region of the world, namely Cyprus. Specifically, this plan proposes to replenish a depleting aquifer with treated wastewater. The proposed methodology first identifies the key stakeholder groups (farmers and the general public) who are hypothesized to derive economic values (benefits) from implementation of this plan, and then uses stated-preference methods to capture the total economic value of these benefits. Benefits are aggregated over the relevant populations of these stakeholder groups and weighed against the total costs of implementing the plan in a long-run cost-benefit analysis (CBA). An econometrically estimated time-declining trajectory of discount rates is used for the CBA in order to assess the long-run sustainability of the plan. The results reveal that the net benefit trajectory estimated with the time-declining discount rate takes one and a half to three times as long to come to a plateau compared to the constant discount rates of 3.5 and 6 percent, emphasizing the importance of using declining discount rates and capturing the entirety of the benefits generated by such plans. This methodology is particularly recommended for providing much needed information to support the implementation of the EU Water Framework Directive, which advocates the use of CBA with consideration of the notion of sustainability for achieving the "good water status" for all European waters.

This paper demonstrates a comprehensive methodology for assessing the viability of an environmental management plan that has long-run economic and ecological impacts.

Metode Statistika Multivariat Generalized Structured Component Analysis (GSCA) Pemodelan Persamaan Struktural (SEM)

Ketersediaan buku teks statistika di Indonesia, khususnya analisis multivariat dengan penekanan pada pemodelan persamaan struktural (SEM) menggunakan pendekatan GSCA, yang mudah dipahami dan dilengkapi dengan cara interpretasi print out hingga membahas hasil analisis secara memadai masih belum banyak ditemukan. Untuk memenuhi kebutuhan tersebut, buku ini ditulis, dengan melakukan pengembangan dari modul yang telah digunakan beberapa kali dalam kegiatan pendidikan pelatihan, semiloka, dan workshop. Beberapa umpan balik dari peserta pendidikan pelatihan, semiloka, dan workshop diyakini memberikan sumbangsih perbaikan yang sangat berarti dalam penulisan buku ini. Saran-saran tentang teknis tata tulis dapat membuat buku ini mudah dipahami, sedangkan saran-saran yang bersifat substantif menjadi inspirasi diberikannya ilustrasi mulai dari proses analisis, interpretasi print out, dan cara melakukan pembahasan hasil secara memadai. Inspirasi penulisan buku ini bersumber dari pengalaman penulis dalam memberikan bimbingan dan konsultasi kepada mahasiswa S2 dan S3 di bidang Manajemen, Akuntansi, Administrasi Bisnis dan Publik, Ilmu Ekonomi, Kedokteran, dan lain-lain, di berbagai perguruan tinggi. Kegiatan perkuliahan pada progam Magister (S2) dan Doktor (S3) pada beberapa bidang dan di berbagai perguruan tinggi, juga menjadi sumber inspirasi penulisan buku ini. Dorongan dari sejawat dosen, terutama di PDIM FEB UB, PDIM FE UNMUL, dan di MM UNUD, juga sangat menginspirasi untuk segera merealisasikan penulisan buku ini. Metode analisis ini sangat bermanfaat pada penelitian yang menyidik tentang sistem, dengan melibatkan multivariabel, multihubungan dan berjenjang, serta variabel laten. Kekuatan utamanya adalah mampu menganalisis model indikator refektif, atau formatif, dan atau campuran. Di samping itu, metode GSCA mempunyai keunikan dapat digunakan untuk menganalisis model tidak rekursif yang di dalamnya ada hubungan resiprokal (saling memengaruhi). Berkembangnya analisis variabel moderasi multigrup juga dibahas di dalam buku ini. Hadirnya buku ini juga dimaksudkan untuk menambah sumber dan bahan bacaan tentang metode kuantitatif bagi para mahasiswa, baik S1, S2, maupun S3 pada berbagai bidang keilmuan. Bagi para sejawat dosen, buku ini dapat digunakan sebagai sumber dan bahan bacaan untuk pengayaan metode kuantitatif. Demikian halnya bagi para peneliti di berbagai lembaga, organisasi, dan instansi serta perusahaan, juga dapat menggunakan buku ini sebagai sumber dan bahan bacaan serta acuan tentang metode analisis data kuantitatif.

Ketersediaan buku teks statistika di Indonesia, khususnya analisis multivariat dengan penekanan pada pemodelan persamaan struktural (SEM) menggunakan pendekatan GSCA, yang mudah dipahami dan dilengkapi dengan cara interpretasi print out ...

A New Method for Dynamic Analysis of Mistuned Blanded Discs Based on Exact Relationship Between Tuned and Mistuned Systems

Cultural Heritage Conservation and Environmental Impact Assessment by Non-Destructive Testing and Micro-Analysis

This book mostly contains contributions by the invited lecturers at the 7th International Conference on Non-Destructive Testing and Micro-Analysis for the Diagnostics and Conservation of the Cultural and Environmental Heritage. The contributors have all been chosen for their individual reputations and the quality of their research, but also because they represent a field deemed highly important. Hence, this book give balanced coverage of the areas that are most relevant in non-destructive testing and micro-analysis in the realm of cultural heritage. The analysis methods provide the clinical composition of cultural artifacts to elucidate their provenance, the rate of alteration as a result of exposure to the environment and the effectiveness of conservation and restoration strategies. The techniques are partially or fully non-destructive, are portable, or allow study of different parts of a heterogeneous work of art.

N.S. Baer Conservation Center, Institute of Fine Arts, NewYork University,
NewYork, USA ABSTRACT: In over three decades of teaching conservation
science to students at the Conservation Center of the Institute of Fine Arts, the
author has ...

Macro and Micro Approaches Combined for Curriculum Process Analysis

A Swedish Educational Field Project

If the teacher is using the achievement level of some students as a criterion for
the pacing of the teaching in elementary units of the curriculum , there are
perhaps other groups which play other roles in the teaching process . Bellack et.
al.

Word-analysis

A Graded Class-book of English Derivative Words, with Practical Exercises in Spelling, Analyzing, Defining, Synonyms, and the Use of Words

Analysis of the drivers of change in women’s anemia in Tanzania 2005-2015

Although the prevalence of anemia among women of reproductive age in Tanzania remains high, there have been documented improvements. It declined from 47.2% in 2004-05 to 40.1% 2010, but by 2016 it has risen again to 44.8%, according to the nationally representative Demographic and Health Surveys from those years. Women’s anemia can lead to many detrimental consequences, including decreased work productivity, mortality, postpartum hemorrhage, and adverse birth outcomes. Thus, it is important to document the factors that may have contributed to improvements in anemia status. Using a regression decomposition approach, which previously has been applied to identifying potential drivers of changes in stunting, we examine which improvements in the underlying determinants of anemia contributed to improvements in the overall prevalence of anemia among women of reproductive age in Tanzania. This study is the first known application of this methodology to understanding changes in the prevelance of anemia. Among all adult women, the largest contributers of change from factors we could include in our models were increases in wealth and education, use of hormonal contraceptives, and the decrease in the proportion of women who are currently pregnant or postpartum (i.e., from the decrease in fertility rates). Notably, use of hormonal contraceptives was least common among the poorest quintile. Additionally, change was attributable to reductions in infection, specifically fever and improvements in open defecation. Among older adolescent girls (15-19 years), the largest share in the improvements in anemia were attributable to education and wealth increases. Among postpartum women, we were limited by the sample size, but found that attending all four antenatal care visits and being administered medications to prevent malaria during pregnancy were important determinants of improved hemoglobin levels.

Although the prevalence of anemia among women of reproductive age in Tanzania remains high, there have been documented improvements.

Data Analysis with IBM SPSS Statistics

Master data management & analysis techniques with IBM SPSS Statistics 24 About This Book Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data Choose the right statistical technique to analyze different types of data and build efficient models from your data with ease Overcome any hurdle that you might come across while learning the different SPSS Statistics concepts with clear instructions, tips and tricks Who This Book Is For This book is designed for analysts and researchers who need to work with data to discover meaningful patterns but do not have the time (or inclination) to become programmers. We assume a foundational understanding of statistics such as one would learn in a basic course or two on statistical techniques and methods. What You Will Learn Install and set up SPSS to create a working environment for analytics Techniques for exploring data visually and statistically, assessing data quality and addressing issues related to missing data How to import different kinds of data and work with it Organize data for analytical purposes (create new data elements, sampling, weighting, subsetting, and restructure your data) Discover basic relationships among data elements (bivariate data patterns, differences in means, correlations) Explore multivariate relationships Leverage the offerings to draw accurate insights from your research, and benefit your decision-making In Detail SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease. Style and approach Provides a practical orientation to understanding a set of data and examining the key relationships among the data elements. Shows useful visualizations to enhance understanding and interpretation. Outlines a roadmap that focuses the process so decision regarding how to proceed can be made easily.

Master data management & analysis techniques with IBM SPSS Statistics 24 About This Book Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data Choose the right statistical technique to analyze ...

Data Analysis in Management with SPSS Software

This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS.

This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS.