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28 September 2020 Exploring Influencing Factors of Seafood E-commerce Efficiency: Based on Panel Data from 2011 to 2018
Dan Shen, Yinsheng Yang, Jingfu Lu
Author Affiliations +
Abstract

Shen, D.; Yang, Y., and Lu, J., 2020. Exploring influencing factors of seafood e-commerce efficiency: Based on panel data from 2011 to 2018. In: Yang, D.F. and Wang, H. (eds.), Recent Advances in Marine Geology and Environmental Oceanography. Journal of Coastal Research, Special Issue No. 108, pp. 322–326. Coconut Creek (Florida), ISSN 0749-0208.

The authors explore the seafood e-commerce efficiency from 2011 to 2018 of nine coastal provinces in China by computing the Malmquist index. Then, the authors construct the dynamic panel data model to analyze the influencing factors of total factor productivity change. The result of the Malmquist index shows that the seafood e-commerce efficiency in the period 2011–2018 shows an increasing trend. Agglomeration, market size, and retail services are major driven forces to promote efficiency. Policy recommendations are presented based on empirical results.

©Coastal Education and Research Foundation, Inc. 2020
Dan Shen, Yinsheng Yang, and Jingfu Lu "Exploring Influencing Factors of Seafood E-commerce Efficiency: Based on Panel Data from 2011 to 2018," Journal of Coastal Research 108(sp1), 322-326, (28 September 2020). https://doi.org/10.2112/JCR-SI108-065.1
Received: 18 March 2020; Accepted: 2 June 2020; Published: 28 September 2020
KEYWORDS
agglomeration
dynamic panel data model
Malmquist Index
seafood e-commerce
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