Caribbean regionalism and the expectation of increased trade: Insights from a time-series gravity model

被引:9
|
作者
Elliott, Dawn Richards [1 ]
机构
[1] Texas Christian Univ, Dept Econ, Ft Worth, TX 76129 USA
关键词
gravity model; Caribbean; regionalism; integration; time-series analysis; EQUATION;
D O I
10.1080/09638190601165830
中图分类号
F [经济];
学科分类号
02 ;
摘要
CARICOM's expectation that integration in the region promises economic gains by providing an avenue for increased regional and extra-regional trade has been criticized by many scholars. These criticisms receive mixed support from a limited sample of cross-sectional analysis with a general focus on the impact of integration on trade flows. Since much of the data in gravity models are time-dependent, and since CARICOM trade is and has been dominated by three nations, Barbados, Jamaica, and Trinidad/Tobago, I evaluate this expectation using a three dummy gravity model for each nation. The results concur with the descriptive ones; regional integration does not necessarily increase trade flows and may in some cases be associated with a decline. While Caribbean integration has provided numerous non-economic gains, the continued stress on trade is potentially problematic. Trade has had an unfortunate place in policy-making in the region as governments fluctuate between outright rejection to the current state of grudging acceptance of minimally restricted trade. Trade, while positively correlated with growth, is neither inherently good nor bad for developing countries as current debates seem to suggest. Instead, trade offers an opportunity for economic gains that is best realized within an environment that supports skilled resources, sound and credible government institutions, and technological development. Without these fundamentals, the pursuit of economic gains via regional integration will, likely, continue to disappoint.
引用
收藏
页码:117 / 136
页数:20
相关论文
共 50 条
  • [41] Finance-institution-growth trilogy: time-series insights from South Africa
    Olaniyi, Clement Olalekan
    Adedokun, Adebayo
    INTERNATIONAL JOURNAL OF EMERGING MARKETS, 2022, 17 (01) : 120 - 144
  • [42] INFERENCE FOR A SPECIAL BILINEAR TIME-SERIES MODEL
    Ling, Shiqing
    Peng, Liang
    Zhu, Fukang
    JOURNAL OF TIME SERIES ANALYSIS, 2015, 36 (01) : 61 - 66
  • [43] A REGRESSION-MODEL FOR TIME-SERIES OF COUNTS
    ZEGER, SL
    BIOMETRIKA, 1988, 75 (04) : 621 - 629
  • [44] FATIGUE FAILURE IDENTIFICATION BY TIME-SERIES MODEL
    ERMER, DS
    NOTOHARDJONO, BD
    ENGINEERING FRACTURE MECHANICS, 1984, 20 (5-6) : 705 - 718
  • [45] AUTOMATED SELECTION OF APPROPRIATE TIME-SERIES MODEL
    Radek, Hrebik
    Jana, Seknickova
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE QUANTITATIVE METHODS IN ECONOMICS (MULTIPLE CRITERIA DECISION MAKING XVI), 2012, : 73 - 77
  • [46] A refined fuzzy time-series model for forecasting
    Yu, HK
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2005, 346 (3-4) : 657 - 681
  • [47] TIME-SERIES MODEL FOR VEHICLE SPEEDS.
    Mahalel, David
    Hakkert, Alfred S.
    Transportation Research, Part B: Methodological, 1985, 19 B (03): : 217 - 225
  • [48] A REDUCED PARAMETER BILINEAR TIME-SERIES MODEL
    ZHANG, YQ
    HAGAN, MT
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1994, 42 (07) : 1867 - 1870
  • [49] FORECASTING IN MULTIVARIATE TIME-SERIES - THE MARMA MODEL
    DEFRANK, NMC
    BIOMETRICS, 1985, 41 (04) : 1091 - 1091
  • [50] A NEURAL NETWORK MODEL FOR TIME-SERIES FORECASTING
    Morariu, Nicolae
    Iancu, Eugenia
    Vlad, Sorin
    ROMANIAN JOURNAL OF ECONOMIC FORECASTING, 2009, 12 (04): : 213 - 223