Determinants of Demand for Fiji's Exports: An Empirical Investigation

Narayan, Seema; Narayan, Paresh Kumar

doi:10.1111/j.1746-1049.2004.tb01017.x

Cited by 135 publications

(86 citation statements)

References 42 publications

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“…Based on a study that investigates the long run relationship between imports and exports in two pacific island countries, the export and imports was co-integrated in both country (Narayan and Narayan , 2004). While in between the exports and imports in Korea, there was a positive co integration and coefficient on exports (Bahmani-Oskooee and Rhee ,1997) .…”

Section: Materials Studiedmentioning

confidence: 99%

Determinants of Export: Empirical Study in Malaysia

Lee¹,

Har²,

Zhengyi³

et al. 2016

JIBE

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This research aims to study the relationship of export with four determinants, namely import, inflation, foreign direct investment (FDI), and exchange rate. Sample years are 1975 to 2013. Ordinary least square (OLS) is used. Results revealed that import has positive relationship with export. This implied that Malaysia import may be an "assembly point exporter". Electric and electrical (E&E), which is Malaysia major export component has high possibly where inputs are imported, then assembly and exported. Foreign exchange rate (domestic currency in term of foreign) has positive relationship with export, thus validating Marshall Learner hypothesis. Inflation has negative relationship as higher aggregate price increase cost of production and decreasing price competitiveness of export. Foreign direct investment has an inverted-U curve relationship, which give further insight into conflicting evidence of linear relationship between export and FDI. Facilities provided to promote export may attract inflow of foreign investment. However, if FDI is targeted to produce for domestic market, it may not contribute to export growth.

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Section: Materials Studiedmentioning

confidence: 99%

Determinants of Export: Empirical Study in Malaysia

Lee¹,

Har²,

Zhengyi³

et al. 2016

JIBE

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show abstract

“…First, there needs to be only one cointegrating vector. Second, the explanatory variables should not be cointegrated among themselves [31]. As usual when dealing with time series economic variables, we test for the order of integration of the series involved for future analysis.…”

Section: Resultsmentioning

confidence: 99%

The Impact of Sustainable Tourism and Good Governance on Biodiversity Loss in Malaysia

Din

Habibullah

Choo

2014

SHS Web of Conferences

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Abstract. The importance of forest in providing the natural habitat for plants and animals; storing hundreds of billions of tons of carbon; buffering against flood and drought; stabilizing soils, influencing climate change and providing food and home for the indigenous people has led the international community to protect them from further destruction in the future. In addition, the sustainable tourism is a key source of income and employment for local communities, which, in turn, provide strong incentives to protect biodiversity. For such reasons, and given the capacity limits of environmental resources coupled with the quantitative growth of tourism, there is an urgent need for the development of tourism to take biodiversity seriously. In this study we investigate the impact of sustainable tourism and good governance indicators on biodiversity loss in Malaysia for the period 1996 to 2012. In this study we employed the Ordinary Least Squares (OLS), Dynamic OLS (DOLS) and Fully-Modified OLS (FMOLS) which is efficient in small sample to estimate the long-run model of biodiversity loss (proxy by deforestation rates). Interestingly, our results found that good governance and sustainable tourism do contribute in mitigating biodiversity loss in Malaysia.

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“…If the estimated F statistics is greater than the upper bound, we reject null hypothesis of no co-integration. If the estimated F statistics is less than the bottom bound, there is no co-integration relationship between the series (Narayan and Narayan, 2004). If the calculated F statistics is between the lower and upper critical values, the result is inconclusive (Karagöl et.al.,2007).…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, The Bound Test provides us with a chance to estimate short and long run parameters in the same duration. (Pesaran et al 2001;Narayan and Narayan, 2004).…”

Section: Methodsmentioning

confidence: 99%

Employment and exchange rate volatility relationship: the Turkish case

Ay¹

2016

Pressacademia

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In this paper, exchange rate volatility and employment relationship is investigated for Turkey covering the period from January 2003 to February 2014 period. Exchange rate volatility is added to the model as an independent variable. In the previous researches, effects of exchange rate volatility have been used as an error term. Different from the previous studies, we added this variable to our model as an independent variable in order to analyze the effects of volatility on employment. In empirical analysis; firstly, co integration relationship between variables is analyzed. Then ARDL model is employed in order to investigate long and short term coefficients. In line with findings of the existing literature, the results of the ARDL model, we employed in this paper; reflect that exchange rate volatility negatively affects the employment. However, we found that the volatility coefficient is statistically insignificant. These results are thought to reflect the dynamics of the market, as the exchange markets are sensible to short term changes while labour markets are based on long term contracts.

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Determinants of Demand for Fiji's Exports: An Empirical Investigation

Cited by 135 publications

References 42 publications

Determinants of Export: Empirical Study in Malaysia

Determinants of Export: Empirical Study in Malaysia

The Impact of Sustainable Tourism and Good Governance on Biodiversity Loss in Malaysia

Employment and exchange rate volatility relationship: the Turkish case

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