Original scientific paper
https://doi.org/10.1080/1331677X.2019.1679212
Diamond model and the export competitiveness of the agriculture industry from emerging markets: an exploratory vision based on a spatial effect study using a genetic algorithm
Da Huo
Yan Chen
Ken Hung
Zening Song
Jialin Guan
An Ji
Abstract
A deeper understanding of the comparative advantage of emerging
markets in agricultural export can be gained by analysing the
spatial connections of emerging markets through the framework
provided by the diamond model. The geographic economics factors
are transformed to interconnections of emerging markets by
a genetic algorithm based on Mahalanobis distances. The spatial
effect of geographic economics factors on export competitiveness
of agriculture is further identified by spatial modelling. The irrigated
land area, competitive labour cost, foreign direct investment
(F.D.I.), and export market opportunity are important to further
develop the export competitiveness of the agriculture industry
from emerging markets based on spatial modelling. Also there is a
spatial disturbances effect in agricultural export of emerging markets
based on transformed interconnections structured by geographic
economic factors. A fuzzy cluster analysis is further
performed, and the stationary solution of clusters in dynamic transition
across market segments is analysed by a Markov Chain. It is
further found that the distribution of emerging markets with a
higher level of export competitiveness can be more concentrated
in clusters with lower levels of proportion. The findings of this
research can offer support to global managers in further understanding
the spatial effect of geographic economics factors on
export competitiveness of agriculture from emerging markets
Keywords
diamond model; export competitiveness; emerging markets; agriculture industry; genetic algorithm; spatial effect
Hrčak ID:
254610
URI
Publication date:
9.2.2021.
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