2017
DOI: 10.22616/erdev2017.16.n108
|View full text |Cite
|
Sign up to set email alerts
|

Projections for the Latvian dairy and beef sector

Abstract: Abstract. Milk production is the second most important agricultural sector in Latvia with 17.7 % in the distribution of agricultural final products in 2015. However, the proportion of milk production decreased by 5.3 percentage points in comparison with 2014, reaching the lowest proportion recorded. The agriculture of Latvia depends on the Common Agricultural Policy (CAP) that continuously changes and is reformed. The European Union (EU) decision makers have traditionally used the results of a wide range of qu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0
1

Year Published

2018
2018
2022
2022

Publication Types

Select...
5
1

Relationship

2
4

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 4 publications
(4 reference statements)
0
4
0
1
Order By: Relevance
“…To generate projections for the Latvian agricultural sector, the LASAM model was developed in 2016. The model covers the following key agricultural industries: cereals (wheat, barley, rye, oats, triticale), oil crops (rapeseed), legumes, potato, vegetables, dairy and beef cattle, sheep, goats, horses, pigs, poultry and laying hens [11][12][13][14]. The model initially was developed as an econometric, recursive, dynamic, multi-period scenario model.…”
Section: Methodsmentioning
confidence: 99%
“…To generate projections for the Latvian agricultural sector, the LASAM model was developed in 2016. The model covers the following key agricultural industries: cereals (wheat, barley, rye, oats, triticale), oil crops (rapeseed), legumes, potato, vegetables, dairy and beef cattle, sheep, goats, horses, pigs, poultry and laying hens [11][12][13][14]. The model initially was developed as an econometric, recursive, dynamic, multi-period scenario model.…”
Section: Methodsmentioning
confidence: 99%
“…Cakir & Balagtas, 2012;Herrera Ramírez et al, 2018;Khosravi & Esfandabadi, 2018;Sertoglu et al, 2017). De los aplicados a cadenas lácteas, los objetivos varían entre el análisis sobre la evolución de cantidades comercializadas (Lie et al, 2018;Salou et al, 2017;Yu, 2012) factores determinantes por nivel productivo (Nipers et al, 2017;Santeramo, 2014;Zhang & Li, 2015); determinación de precios (Bolotova, 2017;Eičaitė & Mikelionytė, 2017) y, efectos de políticas (Kumar et al, 2019;Paterson & Holden, 2019), por mencionar algunos. Una gran parte de estos trabajos utiliza los modelos de ecuaciones simultáneas estáticas y dinámicas (SEM y DSEM, respectivamente) 1 como metodología de análisis, para incorporar el conocimiento estructural que tienen de la cadena productiva en particular.…”
Section: Introductionunclassified
“…In Latvia, measurements of GHG emissions in the agricultural sector have been launched and are implemented in several directions. Firstly, research on GHG emission reduction measures and develops future scenarios for GHG emissions in Latvia (Kreismane et al, 2016;Lēnerts et al, 2016;Lenerts, Berzins, & Popluga, 2016;Lenerts, Popluga, & Naglis-Liepa, 2019;Nipers, Pilvere, & Zeverte-Rivza, 2017;Pilvere & Lenerts, 2015;Zeverte-Rivza, Popluga, & Berzina, 2017)and there is a large potential for land to be used in efficient agricultural production. National task is set for the next years in Latvia to retain agricultural land for agricultural production, in order to efficiently manage approximately 2 million ha.…”
Section: Introductionmentioning
confidence: 99%
“…; Lenerts, Berzins, & Popluga, enerts, Popluga, & Naglis-Liepa, 2019;Nipers, Pilvere, & Zeverte-Rivza, 2017;Pilvere & Lenerts, 2015;-Rivza, Popluga, & Berzina, 2017). Secondly, experimental studies are carried out on farms where CH4 ements are carried out and solutions are sought to reduce CH 4 emissions in the livestock sector…”
mentioning
confidence: 99%