Forestry Investment and Output Value of Forestry in China

2014 ◽  
Vol 926-930 ◽  
pp. 3826-3829
Author(s):  
Yang Gao ◽  
Yi Lei Hou ◽  
Zheng Zhao ◽  
Ya Li Wen
Keyword(s):  
Empirical Evidence ◽  
Causal Relationship ◽  
Granger Causality ◽  
Improve Efficiency ◽  
Causality Tests ◽  
Speed Up ◽  
Granger Causality Tests ◽  
The Relationship

The relationship between output value of forestry and forestry investment is considered as an imperative issue in forestry economy. In this paper, Granger causality tests are applied to examine the causal relationship between the output value of forestry and the forestry investment for China during 1998 to 2012. Empirical evidence reveals forestry investment and output value of forestry are co-integrated and there is unidirectional causality running from forestry investment to the output value of forestry but not vice versa. With the purpose of conquering the lack of forestry investment, government need to speed up the finance expenditure on forestry, to expand sources of forestry investment and to improve efficiency of investment.

scholarly journals Investigation on the Causal Relationship between Inflation, Output Growth and their Uncertainties in Romania

2016 ◽  
Vol 9 (1) ◽  
pp. 71-89
Author(s):  
Carmen Pintilescu ◽  
Mircea Asandului ◽  
Elena-Daniela Viorică ◽  
Dănuţ-Vasile Jemna
Keyword(s):  
Empirical Evidence ◽  
Causal Relationship ◽  
Granger Causality ◽  
Output Growth ◽  
Causal Relationships ◽  
Inflation Volatility ◽  
Causality Tests ◽  
Recorded Data ◽  
Granger Causality Tests ◽  
Growth Volatility

AbstractBased on monthly-recorded data for the 1990-2014 period related to output growth and inflation, we use heteroskedastic models in order to estimate the nominal and real uncertainty in Romania. Real uncertainty is derived from output growth volatility and nominal uncertainty is derived from inflation volatility. Of the 12 possible hypotheses regarding causal relationships between output growth, inflation, nominal uncertainty and real uncertainty, we consider 7 hypotheses for which we find strong theoretical arguments and empirical evidence in literature. In order to ensure the robustness of the results, the Granger-causality tests are performed for 4, 8 and 12 lags, which are then used to test 7 economic hypotheses.

scholarly journals The relationship between the relative GDP share of agriculture and the unemployment rate in selected Central and Eastern European countries

2017 ◽  
Vol 63 (No. 7) ◽  
pp. 308-317
Author(s):  
Bein Murad A ◽  
 Ciftcioglu Serhan
Keyword(s):  
Granger Causality ◽  
Unemployment Rate ◽  
European Countries ◽  
Regression Equations ◽  
Eastern European ◽  
Causality Tests ◽  
Dynamic Panel Regression ◽  
Granger Causality Tests ◽  
Eastern European Countries ◽  
The Relationship

The study empirically investigates the relationship between the relative GDP share of agriculture and the unemployment rate in a sample of ten Central and Eastern European countries. Utilising the annual data for the sample period 1996–2013, the empirical analysis is carried out using the dynamic panel regression analysis and the Granger causality tests. The estimation results based on the alternative specification of regression equations for the unemployment rate suggest that the unemployment rate is negatively related to the relative GDP share of agriculture. In addition, a similar effect has been obtained for some other explanatory variables we have included in the unemployment equation as controlling variables: higher investment rate and trade openness are likely to lower the rate of unemployment. The financial development has also been found to be negatively related to the unemployment rate, although the statistical significance of its effect depends on the estimation technique used. On the other hand, the GDP growth and the government consumption have been found to be insignificantly related to the unemployment rate. While the Granger causality tests performed for each country produced evidence of a causal effect of the relative GDP share of agriculture in some countries, in some other countries the direction of causality has been found to be from the unemployment rate to the relative GDP share of agriculture. Our findings suggest that agriculture may play a potential role in lowering the prevailing rates of high unemployment; but this potential is likely to vary between countries.  

New Evidence of Dynamic Links between Tourism and Economic Growth Based on Mixed-Frequency Granger Causality Tests

2017 ◽  
Vol 57 (7) ◽  
pp. 899-907 ◽  
Author(s):  
Han Liu ◽  
Haiyan Song
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Large Body ◽  
P Value ◽  
Mixed Frequency ◽  
Causality Tests ◽  
Short Run ◽  
Empirical Regularities ◽  
Granger Causality Tests ◽  
The Relationship

The relationship between tourism and economic growth has created a large body of literature investigating the hypotheses of tourism-led economic growth (TLEGH) and economy-driven tourism growth (EDTGH). In this article, we use mixed-frequency Granger causality tests to investigate the relationship between the two types of growth in Hong Kong from 1974 to 2016. Our analysis reveals the following empirical regularities. First, the hidden short-run causality of TLEGH is detected, and EDTGH is proved in the short run and also in the long run when Granger causality tests are performed in a mixed-frequency framework. Second, mixed-frequency Granger tests demonstrate more power in testing the TLEGH and EDTGH via the rejection frequencies (bootstrap p value). Finally, rolling Granger causality tests reveal an unstable relationship between tourism and economic growth in both magnitude and direction, and the relationship is highly economic- and tourism-event-dependent.

scholarly journals PERTUMBUHAN EKONOMI, INDEKS PEMBANGUNAN MANUSIA, UTANG LUAR NEGERI DAN KEMISKINAN (KAJIAN TEORITIS DI INDONESIA)

2015 ◽  
Vol 6 (1) ◽  
pp. 89
Author(s):  
Dwi Susilowati ◽  
Muhammad Sri Wahyudi Suliswanto
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Causal Relationship ◽  
Granger Causality ◽  
Human Development Index ◽  
Foreign Debt ◽  
Secondary Data ◽  
Development Index ◽  
Causality Tests ◽  
Granger Causality Tests

This study was conducted with the intention of examining the causal relationship between the following variables: Human Development Index (HDI), foreign debt, poverty, and economic growth. The data used in this investigation was secondary data from 1990 to 2013 which then analyzed by applying Granger causality tests performed six times that ultimately obtained the following results: (1) there was no causal relationship between Human Development Index (HDI) and Foreign Debt (AD); (2) there was a one-way causal relationship between foreign debt (AD) and poverty; (3) there was a one-way causal relationship between economic growth with Foreign Debt (AD); (4) there was no causal relationship between poverty with Human Development Index (HDI); (5) there was no causal relationship between Economic Growth and Human Development Index (HDI); and (6) there was a one-way causal relationship between economic growth and poverty.

Research on the Relationship between the Development of our Country Service Industries and Tax Based on the Co-Integration Model

2014 ◽  
Vol 543-547 ◽  
pp. 4335-4338
Author(s):  
Zai Tang Wang ◽  
Na Wang
Keyword(s):  
Granger Causality ◽  
Service Industry ◽  
Service Industries ◽  
Integration Model ◽  
Tax System ◽  
Development Level ◽  
Integration Test ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
The Relationship

In our country tax system, the most category of taxes have relationship with service, involving almost every part of the service industry. With the development of service industry, the tax revenues will increase. This paper uses co-integration test and Granger causality tests to analysis the relationship between the development level of the service industry and tax revenue.In order to use tax policy to promote the transformation and upgrading of service industry.

scholarly journals LOCALE-VARYING RELATIONSHIPS BETWEEN TOURISM DEVELOPMENT AND RETAIL PROPERTY PRICES IN A SHOPPING DESTINATION

2020 ◽  
Vol 24 (5) ◽  
pp. 323-334
Author(s):  
Linchuan Yang ◽  
K.W. Chau ◽  
Yi Lu ◽  
Xu Cui ◽  
Fanyu Meng ◽  
...  
Keyword(s):  
Hong Kong ◽  
Granger Causality ◽  
Tourism Development ◽  
Correction Model ◽  
Property Prices ◽  
Shopping Area ◽  
Causality Tests ◽  
Retail Property ◽  
Granger Causality Tests ◽  
The Relationship

Existing literature has inadequately examined the nexus between tourism and property prices. Additionally, it mainly focuses on hotels and housing, thereby overlooking other property categories (e.g., retail properties). The relationship between tourism development and retail property prices in shopping destinations (e.g., Hong Kong and Singapore) may hinge on the locale. More specifically, the relationship may be different in the tourist precinct or popular tourism shopping area (PTSA) and the unpopular tourism shopping area (UTSA). This study examines locale-varying relationships between tourism development (measured by tourist volume and tourism expenditure) and retail property prices from 2002Q1 to 2014Q4 in Hong Kong using standard and error-correction-model-based (ECM-based) Granger causality tests. Results of standard Granger causality tests indicate that tourism development Granger causes the increase in retail property prices in the PTSA but not in the UTSA. Moreover, results of ECM-based Granger causality tests further verify the robustness and plausibility of the tourism-led growth (in retail property prices) hypothesis in the PTSA. In other words, we find that tourism development measures can be used to better predict changes in retail property prices in the PTSA than simply referring to the price history.

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