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author:

Tao, Hongjun (Tao, Hongjun.) [1] | Zhao, Liang (Zhao, Liang.) [2] | Luckstead, Jeff (Luckstead, Jeff.) [3] | Xie, Chaoping (Xie, Chaoping.) [4]

Indexed by:

SSCI Scopus

Abstract:

This paper estimates the impact of population aging on bilateral pork trade between 32 Asian countries (regions) by using a gravity model that incorporates old-age dependency ratio variables. The Poisson pseudo-maximum-likelihood regression performs better than the ordinary least-squares method in the estimations. An aging labor force stimulates pork exports because it reduces pork production costs by supplying the pork industry with low-wage older laborers. An aging consumer-based economy increases pork imports because older consumers usually have higher incomes. Population aging has both a time characteristic and a country characteristic on pork trade in Asia. Increasing birth rates and reforming the pork industry from the supply side are two feasible policy recommendations for aging Asian countries (regions).

Keyword:

aging Asia old-age dependency ratio Pork trade PPML

Community:

  • [ 1 ] [Tao, Hongjun]Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Peoples R China
  • [ 2 ] [Zhao, Liang]Fujian Normal Univ, Sch Econ, Fuzhou 350007, Peoples R China
  • [ 3 ] [Luckstead, Jeff]Univ Arkansas, Div Agr, Fayetteville, AR 72701 USA
  • [ 4 ] [Luckstead, Jeff]Univ Arkansas, Bumps Coll, Fayetteville, AR 72701 USA
  • [ 5 ] [Xie, Chaoping]Nanjing Agr Univ, Coll Econ & Management, Nanjing 210095, Peoples R China

Reprint 's Address:

  • 陶红军

    [Tao, Hongjun]Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Peoples R China

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Related Keywords:

Source :

SINGAPORE ECONOMIC REVIEW

ISSN: 0217-5908

Year: 2021

Issue: 06

Volume: 66

Page: 1733-1758

1 . 7 3 6

JCR@2021

1 . 5 0 0

JCR@2023

ESI Discipline: ECONOMICS & BUSINESS;

ESI HC Threshold:98

JCR Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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