The Impact of Export on China's Labor Standards: Empirical Analysis Based on Vector Auto-Regression Model

2011 ◽  
Vol 268-270 ◽  
pp. 1992-1997
Author(s):  
Bo Wang
Keyword(s):  
Regression Model ◽  
Empirical Analysis ◽  
Positive Impact ◽  
Labor Standards ◽  
Real Wages ◽  
Causality Test ◽  
Variance Decompositions ◽  
Vector Auto Regression ◽  
The Impact ◽  
Auto Regression

This paper focuses on the impact of export on China's labor standards through empirical analysis. After building a stable vector auto-regression model, it uses the changing rate of the value of export as the index of export, and the growth rate of worker’s real wages as the index of labor standards. The result of estimation indicates that export has significant positive impact on China’s labor standards. The estimation of vector error correct model, the result of impulse responses and variance decompositions and the Granger causality test confirms that. The result of empirical analysis finds no evidence of the race-to-the-bottom of labor standards in China.

scholarly journals The Impact of Bank Credit on Inflation in Jordan by Using Vector Auto Regression Model: A Case Study of Jordan during 1968-2017

2019 ◽  
Vol 12 (5) ◽  
pp. 34
Author(s):  
Suleiman Daood Al-Oshaibat ◽  
Hmood H. Banikhalid
Keyword(s):  
Regression Model ◽  
Inflation Rate ◽  
Function Analysis ◽  
Explanatory Power ◽  
Mutual Effect ◽  
Bank Credit ◽  
Annual Data ◽  
Vector Auto Regression ◽  
The Impact ◽  
Auto Regression

Previous studied revealed mixed results regarding the Banks have an influence on the inflation rate. This study aims at investigating the impact of the bank credit on the inflation rate in Jordan during the period 1968-2017 by using Vector Auto Regression Model (VAR) on the annual data. Necessary tests were conducted for this model such as Unit Root Test, Granger Causality Test, Variance Decomposition and Response Function analysis. The results reveal that there is a mutual effect between the bank credit and the inflation rate. Moreover the study states that there is an explanatory power of the bank credit in explaining the changes in inflations rates in Jordan. Namely, there is a positive effect of the credit bank on the inflation rate in Jordan.

scholarly journals Trade liberalization, Economic Growth and Poverty Level in Nigeria: Vector Auto-regression (VAR) Approach (1980-2009)

2014 ◽  
Vol 6 (7) ◽  
pp. 591-606 ◽  
Author(s):  
Aremo Aremo
Keyword(s):  
Economic Growth ◽  
Trade Liberalization ◽  
Positive Impact ◽  
Data Series ◽  
Poverty Level ◽  
Vector Auto Regression ◽  
The Government ◽  
Good Policy ◽  
The Impact ◽  
Auto Regression

The paper examines the nexus among trade liberalization, economic growth and poverty level in Nigeria between 1980 and 2009 within the context of multivariate Vector Auto regression (VAR) with a view to establishing the links that exist among the three variables. The data series were also subjected to unit root and co integration tests to examine the properties of the data. The findings that emerged from the analyses showed that the interactions among trade liberalization, economic growth and poverty level suggest that economic growth had a positive impact on trade liberalization in Nigeria within the study period. Also, the interactions among trade liberalization, economic growth and poverty level were weak making the effect of trade liberalization on poverty to be low. This probability portrays the presence of some structural rigidity in the economy capable of preventing the impact of trade liberalization from being fully felt on poverty, particularly through economic growth channel. This suggests the presence of some institutional factors that create inherent problems in the economy that could largely frustrate any valid and sincere trade policies formulated by the government. It is therefore recommended that policy makers should be mindful of the fact that the Nigerian economy is structurally vulnerable; such that for any policy to succeed, the peculiar characteristics of the economy must be factored into the plan and rigorously evaluated for good policy effects.

scholarly journals Analisis Dampak Impor Cina terhadap Kebertahanan dan Pertumbuhan Industri Tekstil dan Produk Tekstil Indonesia

2012 ◽  
Vol 13 (1) ◽  
pp. 90-108
Author(s):  
Laela Dika Wulandari
Keyword(s):  
Regression Model ◽  
Firm Growth ◽  
Positive Impact ◽  
External Factors ◽  
The Other ◽  
Probit Regression ◽  
Survival And Growth ◽  
Internal And External Factors ◽  
The Impact ◽  
Test Result

AbstractWe try to analyze the impact of Chinese Textile and Garment (T&G) imports, and the internal and external factors to the firm survival and growth of T&G industry in Indonesia, for the period study of 2002 to 2007. Probit regression model is used to analyze the impact of Chinese imports to the survival of firm, while OLS regression model is used to analyze its growth. It shows that the ability of firms' survival is influenced by the internal and external factors. The Chinese imports give positive impact to the firms' survival ability. On the other hand, firm's growth is only affected by its internal characteristics, while the impact of Chinese imports is proven not significant. The Heckman test result stated that there are no correlation between firms' ability to survive and the firm growth behavior.Keywords: Growth, Survival, Chinese Imports, Textile, Indonesian Textile and Garment IndustryAbstrakStudi ini menganalisis dampak dari penetrasi impor TPT Cina, faktor internal, serta faktor eksternal terhadap kebertahanan dan pertumbuhan perusahaan dalam industri TPT Indonesia periode tahun 2002-2007. Metode probit regression digunakan untuk mengetahui dampak impor Cina terhadap kebertahanan perusahaan, sementara regresi linear sederhana (OLS) digunakan untuk menganalisis pertumbuhannya. Ditemukan bahwa kebertahanan perusahaan dipengaruhi oleh karakteristik internal dan eksternal, serta impor Cina yang memberikan dampak positif. Sementara pertumbuhan perusahaan hanya dipengaruhi oleh faktor internal, di mana impor Cina tidak memberikan dampak signikan. Hasil pengujian Heckman menyatakan tidak ada indikasi hubungan antara kebertahanan perusahaan dengan perilaku pertumbuhannya.Kata kunci: Pertumbuhan, Kebertahanan, Impor Cina, Tekstil, Industri Tekstil dan Produk Tekstil Indonesia

A Half Century of Trade Union Membership. The Cyclical Macro-Determinants of Postwar Union Growth in Belgium

2006 ◽  
Vol 1 (2) ◽  
Author(s):  
Kurt Vandaele
Keyword(s):  
Trade Union ◽  
Union Membership ◽  
Positive Impact ◽  
Real Wages ◽  
Half Century ◽  
Explanatory Variables ◽  
Union Growth ◽  
Seminal Contribution ◽  
The Impact ◽  
Leftist Parties

Based on the seminal contribution of Bain and Elsheikh, this article explains the ebb and flow in trade union membership in Belgium from 1948 to 1995. With only four explanatory variables, the model clarifies more than 75 per cent of the fluctuations in Belgian trade union membership. The results show that rises in inflation, real wages and, due to the Ghent system, unemployment have a positive impact on unionization. Although there is an enforcement effect, a saturation effect takes over, indicating that further union growth is hampered by the union's own size. Mainly due to the 'Allgemeinkoalitionsfähighkeit' of the Belgian government system, the impact of leftist parties on unionization is not significant in a quantitative framework.

Volatility Spillover Between Indian and MINT Stock Exchanges: Portfolio Diversification Implication

2019 ◽  
Vol 67 (3-4) ◽  
pp. 299-311
Author(s):  
Miklesh Prasad Yadav ◽  
Asheesh Pandey
Keyword(s):  
Stock Market ◽  
Spillover Effect ◽  
Stock Exchanges ◽  
Volatility Spillover ◽  
Conditional Correlation ◽  
Causality Test ◽  
Portfolio Managers ◽  
Vector Auto Regression ◽  
Indian Stock Market ◽  
Auto Regression

We examine the spillover effect from the Indian stock market to Mexico, Indonesia, Nigeria and Turkey (MINT) stock markets in order to check if suitable diversification opportunities are available to global portfolio managers investing in India. We apply Granger causality test, vector auto-regression (VAR) and dynamic conditional correlation (DCC)–MGARCH to investigate the level of integration between India and MINT economies. We observe bidirectional causality between India and Nigeria, unidirectional causality in Mexico and Indonesia, while no causality is found between India and Turkey. Our VAR results suggest that none of the MINT economies impact the return of the Indian stock market; rather returns of the Indian stock market are more affected by their own lagged values. Finally, by applying DCC–MGARCH, we observe that there is no volatility spillover from India to any of the MINT economies. We recommend that portfolio managers investing in the Indian economy may explore MINT economies as possible destinations to diversify their risk. Our study has implications for both academia and portfolio managers.

HOW DOES BLOCKCHAIN PARTICIPATION AFFECT THE CRYPTOCURRENCY MARKET?

2020 ◽  
pp. 1-24
Author(s):  
YI LI ◽  
WEI ZHANG ◽  
PENGFEI WANG
Keyword(s):  
Trading Volume ◽  
Positive Impact ◽  
Granger Causality Test ◽  
Realized Volatility ◽  
Var Model ◽  
Alternative Measure ◽  
Theoretical Studies ◽  
Causality Test ◽  
Vector Autoregressive ◽  
The Impact

Taking the unique advantage of the cryptocurrency market setting, this paper examines the relationships between blockchain participation and returns, trading volume and realized volatility of main cryptocurrencies (i.e., Bitcoin, Ethereum and Litecoin). Dissimilar to previous theoretical studies that model the influencing factors on participation, we employ the number of unique from addresses 1 as the proxy for cryptocurrency investors’ blockchain participation and further explore the impact of such participation. By using vector autoregressive (VAR) model, we find that the blockchain participation has a significant and positive impact on the next day’s trading volume and realized volatility for the main cryptocurrencies. Our results are robust to the Granger causality test and alternative measure for blockchain participation.

A Study on Liaoning Ports Competition and Cooperation

2011 ◽  
Vol 181-182 ◽  
pp. 1050-1053 ◽  
Author(s):  
Jin Lin Ma ◽  
Li Juan Qian
Keyword(s):  
Granger Causality Test ◽  
The Other ◽  
Causality Test ◽  
Competition And Cooperation ◽  
Vector Auto Regression ◽  
Cooperation Relationship ◽  
Dalian Port ◽  
Relationship Of ◽  
The Relationship ◽  
Auto Regression

Relationship of competition and cooperation among ports is a hot point in studying ports relationship. The purpose of this paper is to investigate the competition and cooperation relationship among Liaoning ports. This paper applies the Vector Auto-Regression Model for analyzing the relationship. According to the modeling, it is found that Dalian Port competes with Yingkou Port and Jinzhou Port, while cooperates with Dandong Ports. From the Granger Causality test, it shows that Dalian Port causes the other three ports.

scholarly journals A Vector Auto Regression Model Applied to Real Estate Development Investment: A Statistic Analysis

2016 ◽  
Vol 8 (11) ◽  
pp. 1082 ◽  
Author(s):  
Fengyun Liu ◽  
Shuji Matsuno ◽  
Reza Malekian ◽  
Jin Yu ◽  
Zhixiong Li
Keyword(s):  
Real Estate ◽  
Regression Model ◽  
Real Estate Development ◽  
Statistic Analysis ◽  
Vector Auto Regression ◽  
Auto Regression

scholarly journals An Attempt to Assess the Quantitative Impact of Institutions on Economic Growth and Economic Development

2014 ◽  
Vol 38 (1) ◽  
pp. 7-30
Author(s):  
Mariusz Próchniak
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Empirical Analysis ◽  
Economic Freedom ◽  
Institutional Environment ◽  
Positive Impact ◽  
Policy Implications ◽  
Regression Equations ◽  
Solow Model ◽  
The Impact

Abstract This study aims at assessing to what extent institutional environment is responsible for worldwide differences in economic growth and economic development. To answer this question, we use an innovative approach based on a new concept of the institutions-augmented Solow model which is then estimated empirically using regression equations. The analysis covers 180 countries during the 1993-2012 period. The empirical analysis confirms a large positive impact of the quality of institutional environment on the level of economic development. The positive link has been evidenced for all five institutional indicators: two indices of economic freedom (Heritage Foundation and Fraser Institute), the governance indicator (World Bank), the democracy index (Freedom House), and the EBRD transition indicator for post-socialist countries. Differences in physical capital, human capital, and institutional environment explain about 70-75% of the worldwide differences in economic development. The institutions-augmented Solow model, however, performs slightly poorer in explaining differences in the rates of economic growth: only one institutional variable (index of economic freedom) has a statistically significant impact on economic growth. In terms of originality, this paper extends the theoretical analysis of the Solow model by including institutions, on the one hand, and shows a comprehensive empirical analysis of the impact of various institutional indicators on both the level of development and the pace of economic growth, on the other. The results bring important policy implications.

scholarly journals World Oil Prices and Indonesia Macroeconomic

2015 ◽  
Vol 15 (1) ◽  
pp. 27
Author(s):  
M. Ichsandimas W. ◽  
Malik Cahyadin
Keyword(s):  
Exchange Rates ◽  
Real Exchange Rates ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
Oil Price ◽  
Positive Relation ◽  
Real Gdp ◽  
Vector Auto Regression ◽  
The Impact ◽  
Auto Regression

The goal of this study is to look at the relation and contribution value, while the impact of world oil price on the macroeconomic Indonesian form 1980 to 2010. This Study used Vector Auto Regression (VAR) method and tool of VAR used are Impulse Response Function (IRF) and Variance Decomposition. The results of study finds a positive relation and statistically significant impact of world oil price on inflation and real GDP Indonesian, but not significant and negative relation on real exchange rates. World oil price has contribution value on the inflation, real exchange rates, Indonesia real GDP after first period.

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