Annual European Union greenhouse gas inventory 1990-…2011 and inventory report 2013. Copenhagen : European Evironment Agency, 2013, 1159 p.(Technical report No 8/2013) http://www.eea.europa.eu/publications/european-union-greenhouse-gas-inventory-2013 This report is the annual submission of the greenhouse gas inventory of the European Union to the United Nations Framework Convention on Climate Change and the Kyoto Protocol. It presents greenhouse gas emissions between 1990 and 2011 for EU-27, ...

Annual European Union greenhouse gas inventory 1990-…2011 and inventory report 2013

Given the importance the concept of productive efficiency has on analyzing the human development process, which is complex and multidimensional, this study conducts a literature review on the research works that have used the data envelopment analysis (DEA) to measure and analyze the development process. Therefore, we researched the databases of Scopus and Web of Science, and considered the following analysis dimensions: bibliometrics, scope, DEA models and extensions used, interfaces with other techniques, units analyzed and depth of analysis. In addition to a brief summary, the main gaps in each analysis dimension were assessed, which may serve to guide future researches.

Human development and data envelopment analysis: A structured literature review ☆ ☆☆

The efficiency and effectiveness of local governments has become one of the main points of interest in public sector administration, as decision and policy making gradually move from the central to the local level. This paper introduces an efficiency analysis framework based on accrual accounting data obtained from the local governments’ financial statements. Data envelopment analysis is used to obtain efficiency estimates, which are analyzed through a second stage regression against a set of efficiency explanatory factors. Furthermore, the optimal reallocation of the municipalities’ inputs and outputs is explored to provide policy recommendations that a central government could implement in a budget reduction context. Detailed empirical results are presented from a panel data set of Greek municipalities over the period 2002–2009.

Applying Data Envelopment Analysis on Accounting Data to Assess and Optimize the Efficiency of Greek Local Governments

This chapter gives an introduction to Precision Agriculture (PA) with a short historic pathway of the development and the status of current available technologies. Part of this description also provides an overview of some of the economic barriers and technical obstacles when applying variable-rate application. This chapter also notes that the adoption of several specific variable-rate application technologies have been modest in recent years. However, in contrast the adoption of auto-steering has been significant in the last decade. The last section describes the overall aim of the book and an overview of each chapter in the book. Each chapter address a different topic starting with an overview of technologies that are currently available, followed by specific Variable-Rate Technologies such as VRT fertilizer application, VRT pesticide application, site-specific irrigation management, Autosteering and Controlled Traffic Systems. Finally, the chapter looks into new developments of autonomous systems with an example of robotic seeding, farm information management in precision agriculture and different methods on the adoption of PA. The last chapter focuses on how PA can fulfil the current policy trends on environmental regulations.

Precision Agriculture: Technology and Economic Perspectives

The main object of this book is to present the subject of "Internal Combustion Engines" for a bachelor’s degree in mechanical engineering helpful to postgraduate students and platform article covers the syllabi of majority of the University. This book will also be highly useful intended serve as a reference book for engineers working in the field of manufacturing and maintenance of engines as well as for workers in the field of teaching. The book is written in simple and lucid language with good diagrammatic illustrations. The various topics are explained right from the fundamentals so as to build an understanding of conceptual and emphasize the relationship between conceptual and problem solving for both types of engines (spark – ignition (SI) and compression – ignition (CI) engines operating on four – stroke and two – stroke cycles). My goal has been to help the students acquire a solid theoretical background of Internal Combustion Engines; solved numerical examples are used extensively throughout the text to help them understand how theory is applied to analyze practical application.

Internal Combustion Engine in Theory and Practice

This paper investigates the application of a PCA–DEA model to assess the quality of life (QOL) scores in Estonian counties and analyses the model's results. The dataset is a balanced panel of 15 Estonian counties covering the period from 2000 to 2011. We consider a PCA–DEA model as an alternative method to estimate and predict QOL scores and rankings of Estonian counties. The method consists of a two-stage analysis that begins with a principal component analysis. In the second stage, the standard DEA is used. The results from the conventional DEA model and the PCA–DEA model are compared and discussed. A comparison of the methodologies demonstrates that a PCA–DEA model provides a powerful tool for performance ranking. The rankings of Estonian counties using QOL scores for different model specifications are presented. Finally, the QOL ranking of Estonian counties is revised using PCA–DEA.

A PCA–DEA approach to measure the quality of life in Estonian counties

https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2014/044.pdf

Cylinder Pressure Characteristics of Turbocharged and Naturally Aspirated Diesel Engines

This paper gives an overview of the basic ideas underlying support vector machines (SVM) for regression and function estimation. A summary of currently used algorithms for training SVM is be presented. Application of SVM regression for estimating parameters of econometric model of average total milk cost in Estonian farms is considered and possibilities of application of SVM regression in rural areas are discussed. Studies on implementation of SVM regression methods (algorithms) and software packages in agricultural research and business must be extended. Normal 0 19 false false false LT X-NONE X-NONE /* Style Definitions */
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http://erd.asu.lt/erd/article/download/75/74

Estimating econometric model of average total milk cost: a support vector machine regression approach

In order to respond to increasing global food demand and provide for national economic growth, the Estonian Dairy Strategy for 2012−2020 aims to achieve a 30% growth in milk production. At the same time, there is a global attempt to reduce greenhouse gas (GHG) emissions. This paper analyses the medium-term (2015−2020) projections for milk production and associated GHG emissions from dairy cows in Estonia. The FAPRI-GOLD type market model of Estonian agriculture, which is used for projections of agricultural production, was supplemented with a module that helps project GHG emissions. The paper demonstrates the endogenisation of GHG emission factors in a relatively general agricultural market model context. The results imply that increasing milk production by 30% by 2020 would jeopardise Estonia’s commitments with regard to agricultural GHG emissions. However, the average GHG emission per tonne of produced milk will decline, thus reducing the “carbon footprint” of milk production.

/pdf/medium-run-projections-for-greenhouse-gas-emissions-arising-2tsoh58atq.pdf

Jüri Roots

Papers

A PCA–DEA approach to measure the quality of life in Estonian counties

Cylinder Pressure Characteristics of Turbocharged and Naturally Aspirated Diesel Engines

Estimating econometric model of average total milk cost: a support vector machine regression approach

Medium-run projections for greenhouse gas emissions arising from agriculture: the case of milk production in Estonia

Using a nonlinear stochastic model to schedule silage maize harvesting on Estonian farms