Energy costs and farm characteristics in the European Union : highlighting linkages with structural and policy dimensions / Vítor João Pereira Domingues Martinho.
2021
S494.5.E5
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Details
Title
Energy costs and farm characteristics in the European Union : highlighting linkages with structural and policy dimensions / Vítor João Pereira Domingues Martinho.
ISBN
9783030758394 (electronic bk.)
3030758397 (electronic bk.)
3030758389
9783030758387
3030758397 (electronic bk.)
3030758389
9783030758387
Publication Details
Cham : Springer, 2021.
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-75839-4 doi
Call Number
S494.5.E5
Dewey Decimal Classification
333.79/66
Summary
This book explores the relationships between the energy costs and other farm variables in the European Union (including the UK) over a recent period of six years. It examines labour, farm land area, outputs/inputs, investments, assets, taxes, and subsidies in the context of policy measures and the farm structure. The book provides a deep insight into how energy cost and other factors in the farming sector relate to each other and as a result how farm planning can be made more efficient, more environmentally sustainable and more competitive. It will be of interest to policy-makers, governments, researchers and advanced students of economics, policy and the environment.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 16, 2021).
Series
SpringerBriefs in applied sciences and technology, 2191-530X
Available in Other Form
Print version: 9783030758387
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Table of Contents
Chapter 1. Introduction
Chapter 2. Bibliometric analysis
Chapter 3. Data analysis with shapefiles
Chapter 4. Matrices of correlations
Chapter 5. Facto rand cluster assessments
Chapter 6. DEA analysis
Chapter 7. Conclusions.
Chapter 2. Bibliometric analysis
Chapter 3. Data analysis with shapefiles
Chapter 4. Matrices of correlations
Chapter 5. Facto rand cluster assessments
Chapter 6. DEA analysis
Chapter 7. Conclusions.