Spatial dynamic analysis of productivity growth of agri-food companies

Carmen M. Martínez-Victoria; Mariluz Maté-Sánchez-Val; Alfons Oude Lansink

doi:10.1111/agec.12486

Spatial dynamic analysis of productivity growth of agri-food companies

Carmen M. Martínez-Victoria^*, Mariluz Maté-Sánchez-Val, Alfons Oude Lansink

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

17 Citations (Scopus)

Abstract

This study analyzes the spatial dynamics in productivity growth and its components for a sample of agri-food companies in Murcia (Spain) over the period 2005–2014. We find that productivity growth of a company is related to productivity growth of neighboring companies, in both the short and long term. The marginal effects of the different factors on productivity growth are stronger in the short run rather than in the long run. Land characteristics and economic territorial conditions have the largest marginal effect on productivity growth and its components. This study contributes to the existing literature by including spatial interactions in the analysis of productivity growth.

Original language	English
Pages (from-to)	315-322
Journal	Agricultural Economics (United Kingdom)
Volume	50
Issue number	3
DOIs	https://doi.org/10.1111/agec.12486
Publication status	Published - 22 Mar 2019

Keywords

Dynamic Luenberger indicator
Dynamic panel data
Food and agribusiness companies
Spatial analysis

Access to Document

10.1111/agec.12486

Cite this

@article{07464ba19f934e35bcb6543d220a68e9,

title = "Spatial dynamic analysis of productivity growth of agri-food companies",

abstract = "This study analyzes the spatial dynamics in productivity growth and its components for a sample of agri-food companies in Murcia (Spain) over the period 2005–2014. We find that productivity growth of a company is related to productivity growth of neighboring companies, in both the short and long term. The marginal effects of the different factors on productivity growth are stronger in the short run rather than in the long run. Land characteristics and economic territorial conditions have the largest marginal effect on productivity growth and its components. This study contributes to the existing literature by including spatial interactions in the analysis of productivity growth.",

keywords = "Dynamic Luenberger indicator, Dynamic panel data, Food and agribusiness companies, Spatial analysis",

author = "Mart{\'i}nez-Victoria, {Carmen M.} and Mariluz Mat{\'e}-S{\'a}nchez-Val and {Oude Lansink}, Alfons",

year = "2019",

month = mar,

day = "22",

doi = "10.1111/agec.12486",

language = "English",

volume = "50",

pages = "315--322",

journal = "Agricultural Economics (United Kingdom)",

issn = "0169-5150",

publisher = "Wiley",

number = "3",

}

TY - JOUR

T1 - Spatial dynamic analysis of productivity growth of agri-food companies

AU - Martínez-Victoria, Carmen M.

AU - Maté-Sánchez-Val, Mariluz

AU - Oude Lansink, Alfons

PY - 2019/3/22

Y1 - 2019/3/22

N2 - This study analyzes the spatial dynamics in productivity growth and its components for a sample of agri-food companies in Murcia (Spain) over the period 2005–2014. We find that productivity growth of a company is related to productivity growth of neighboring companies, in both the short and long term. The marginal effects of the different factors on productivity growth are stronger in the short run rather than in the long run. Land characteristics and economic territorial conditions have the largest marginal effect on productivity growth and its components. This study contributes to the existing literature by including spatial interactions in the analysis of productivity growth.

AB - This study analyzes the spatial dynamics in productivity growth and its components for a sample of agri-food companies in Murcia (Spain) over the period 2005–2014. We find that productivity growth of a company is related to productivity growth of neighboring companies, in both the short and long term. The marginal effects of the different factors on productivity growth are stronger in the short run rather than in the long run. Land characteristics and economic territorial conditions have the largest marginal effect on productivity growth and its components. This study contributes to the existing literature by including spatial interactions in the analysis of productivity growth.

KW - Dynamic Luenberger indicator

KW - Dynamic panel data

KW - Food and agribusiness companies

KW - Spatial analysis

U2 - 10.1111/agec.12486

DO - 10.1111/agec.12486

M3 - Article

AN - SCOPUS:85063944707

SN - 0169-5150

VL - 50

SP - 315

EP - 322

JO - Agricultural Economics (United Kingdom)

JF - Agricultural Economics (United Kingdom)

IS - 3

ER -

Spatial dynamic analysis of productivity growth of agri-food companies

Abstract

Keywords

Access to Document

Fingerprint

Cite this