ENERGY CONSUMPTION AND GROWTH: NEW EVIDENCE FROM A NON-LINEAR PANEL AND A SAMPLE OF DEVELOPING COUNTRIES

被引：10

作者：

Omay, Tolga ^{[1
]}

Apergis, Nicholas ^{[2
]}

Ozcelebi, Hulya ^{[3
]}

机构：

[1] Cankaya Univ, Dept Banking & Finance, TR-06790 Ankara, Turkey

[2] Northumbria Univ, Sch Business, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England

[3] Cankaya Univ, TR-06790 Ankara, Turkey

来源：

SINGAPORE ECONOMIC REVIEW | 2015年 / 60卷 / 02期

关键词：

Energy consumption; growth; non-linear panel cointegration and panel vector error correction; cross section dependency; developing countries; ECONOMIC-GROWTH; ELECTRICITY CONSUMPTION; ERROR-CORRECTION; CAUSALITY RELATIONSHIP; G7; COUNTRIES; UNIT-ROOT; COINTEGRATION; GDP; INCOME; OUTPUT;

D O I：

10.1142/S0217590815500186

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper investigates the relationship between economic growth and energy consumption through non-linear causality tests. Eight developing countries from Europe and Central Asia spanning the period 1993 to 2008 are selected for the purpose of panel empirical analysis. Panel unit root and panel cointegration tests with and without considering cross section dependency (CD) problems are implemented. Next, linear panel cointegration tests are employed and, finally, a two-regime Dynamic Panel Smooth Transition Vector Error Correction (PSTRVEC) model is estimated for testing the presence of non-linear short-and long-run causality. To this end, a new estimator, called the Dynamic Non-linear Pooled Common Correlated Effect Estimator (DNPCCEE) is proposed. The empirical findings indicate that short and long-run causalities are regime-dependent.

引用

页数：30

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