财政收支视角下的江西公共服务——基于EG两步法和误差修正模型分析

财政收支的长期均衡关系影响到公民享受公共服务的福利。通过运用EG两步法检验江西省1978-2012年间财政收支之间是否存在长期均衡关系,结合误差修正模型分析江西省财政收支的短期和长期关系。实证结果表明:江西省财政收支存在长期均衡关系,当短期波动偏离长期均衡时,误差修正项以0.337007的力度进行反向调整,使得非均衡状态向均衡状态回复。进行格兰杰因果关系检验,发现江西财政支出是财政收入的格兰杰因果关系,说明作用于公共服务上的财政支出能够带动国民经济的增长,在一定程度上带来财政收入的增加。

中国经济与股价波动关联性的实证

文章以1992～2006年间中国股市与经济增长的季度时间序列为基础,建立了二者之间的误差修正模型,并对二者作了Granger因果检验脉冲响应分析与方差分解分析。

货币政策地区执行效果的脉冲响应分析——基于贵州经济运行数据的实证研究

根据协整理论方法,利用贵州1986～2006年的年度数据,实证分析了货币信贷政策从贷款、储蓄,到企业生产和居民消费,再到物价指数的传导过程,结合贵州经济金融发展水平,系统论证了货币信贷政策在贵州传导的特征及其原因。

国内旅游消费与经济增长的变结构协整分析

考虑到数据结构突变可能导致国内旅游消费与经济增长之间的关系发生变化,选取1990-2011年的数据,运用变结构协整理论和误差修正模型对国内旅游消费与经济增长的关系进行实证分析,并与不考虑结构突变的模型进行比较.实证结果表明:国内旅游消费与经济增长之间的协整关系在1993年和2003年分别发生了状态开关型与水平趋势项漂移,且考虑结构突变的模型具有更好的样本拟合效果.

Cointegration analysis with structural changes between consumption and economic growth in China

In order to investigate the existence of a stable long-run equilibrium relationship between economic growth and consumption in China, the relationship between the gross domestic product （GDP） and consumption in China was investigated by the cointegration analysis method. Using the Engle-Granger （EG） test and considering the possibility of structural changes, the impact of external economic shocks on the long-run equilibrium relationship between economic growth and consumption in China was analyzed. Analysis results show that without considering structural changes, the EG test cannot detect cointegration in the series subjected to structural changes; in considering structural changes, cointegration is successfully detected by specifying the dummy variable. In addition, the error correction models were constructed in different periods. This study verifies the existence of a long-run equilibrium relationship between economic growth and consumption in China, and this relationship has significantly changed in 1989 and 1997, respectively.

GRA BASED ANALYSIS ON FACTORS INFLUENCING CO_2 EMISSIONS IN CHINA

How to achieve the objective of reducing CO2 emissions has been an academic focus in China recently. The factors influencing CO2 emissions are the vital issue to accomplish the arduous target. Firstly, three influential factors, the energy consumption, the proportion of tertiary industry in gross domestic product （GDP）, and the degree of dependence on foreign trade, are carefully selected, since all of them have closer grey relation with China＇s COz emissions compared with others when the grey relational analysis （GRA） method is applied. The study highlights co-integration relation of these four variables using the co-integration analysis method. And then a long-term co-integration equation and a short-term error correction model of China＇s CO2 emissions are devel- oped. Finally, the comparison is exerted between the forecast value and the actual value of China＇s CO2 emissions based on error correction model. The results and the relevant statistics tests show that the pro- posed model has better explanation capability and credibility.

Rank-Defect Adjustment Model for Survey-Line Systematic Errors in Marine Survey Net

In this paper,the structure of systematic and random errors in marine survey net are discussed in detail and the adjustment method for observations of marine survey net is studied,in which the rank_defect characteristic is discovered first up to now.On the basis of the survey_line systematic error model,the formulae of the rank_defect adjustment model are deduced according to modern adjustment theory.An example of calculations with really observed data is carried out to demonstrate the efficiency of this adjustment model.Moreover,it is proved that the semi_systematic error correction method used at present in marine gravimetry in China is a special case of the adjustment model presented in this paper.

Effects of coal prices on merchandise prices in China

Coal is the principal form of energy used in China. Hence, coal price variations are expected to have some influence on merchandise prices. Monthly data from January, 2002, to October, 2010, were used to construct a varying-parameter state space model, and an error correction model, to estimate the influence of coat prices on Chinese merchandise prices. The time lag and the dynamic relationship were determined from the data. A long term equilibrium relationship between coal price and the PPI, and the CPI, can be observed. The long term influence of coal price fluctuations on the PPI is 0.263%. The corresponding value for the CPI is 0.157%. The PPI shows an influence from coal price change in the first period of observation： by eight periods the influence is obvious, after which it diminishes. The effect of coal price change on the CPI is rather weak and has no long term memory. Analysis of variance shows a similar situation. The elas- ticity coefficient of coal prices on the CPI, or the PPI, fluctuates over the 2002-2004 period. From 2002 to 2007 the influence elasticity on the CPI declined and subsequently levelled off after 2009.

Production response to price risk and market liberalization of Nigerian major agricultural crops

This study models supply response for major agricultural crops in Nigeria which include the standard arguments and price risk. The data comes from Central Bank of Nigeria annual reports and statement of account, National Bureau of Statistics＇ abstract of statistics and annual Agricultural survey manual. The data are analyzed using autoregressive distributed lag and cointegration and error correction models. The results indicate that producers are responsive not only to price but also to price risk and exchange rate.

The Changes in World Oil Prices, Monetary Factors, and Foreign Index Toward Composite Index Movement： Indonesian Case for the Period of 2005-2011

Capital market is one of the drivers of the economy through the formation of capital investor excess as well as an indicator of a country＇s economy. Movement of stock price index is often influenced by many factors, derived from the company＇s performance, monetary factor, and changes in world oil prices. This study highlights the problem in world oil prices due to political turmoil in the Middle East. The samples are taken from the Jakarta Composite Stock Price Index （JCI）, oil prices, Indonesian inflation rate, Certificate of Bank Indonesia＇s （CBI） rate, and the reserve assets, during the period from January 2005 to December 2011 （84 months）. Using the data published by the Bank of Indonesia, reports of the Central Bureau of Statistics （Biro Pusat Statistik, BPS）, and other relevant sources, the data analyzed through the Eviews 7.1. The main objective of this study is to examine the effect of oil prices, foreign stock price index, and monetary variables （inflation rate, CBI rate, country＇s foreign reserves, and others） toward the JCI analyzed through the error correction model （ECM）. Hypothesis testing with the F-test for the 95% confidence level indicates that the oil price, exchange rate （Indonesian Rupiah （IDR）/United States Dollar （USD））, CBI rate, foreign exchange reserves, the Dow Jones Index, and the Taiwan stock index, both simultaneously as well as partially have a significant influence on the JCI.

Monetary Model of Exchange Rate Determination： Evidence From the Czech Republic, Hungary, and Poland

Using a monetary model of exchange rate determination that suggests a strong link between the nominal exchange rate and a set of monetary fundamentals, exchange rate dynamics for the Czech Republic, Hungary, and Poland is studied. As the cointegration relationship among exchange rate, output, and the monetary fundamentals （money supply and interest rate） is found, vector autoregressions （VAR）/vector error-correction （VEC） and two-stage least squares （2SLS） error-correction models are used in this context, since both approaches allow estimating short-run correlations between exchange rates and fundamentals while taking into account the existent long-run exchange rate constraints. Based on the quarterly data for the period of 1998-2012, it is found that for all countries, an increase in the money supply, domestic output slowdown, or stronger growth abroad are factors behind a nominal exchange rate depreciation, just as predicted by the monetary model of exchange rate. However, the effects of domestic-foreign interest rate differential are quite heterogeneous, being in line with theoretical predictions of a standard monetary model for Poland only. According to the decomposition of variance, money supply and interest rates account for 30%-46% of the exchange rate variation in the Czech Republic, from 10% to 14% in Hungary, and from 23% to 42% in Poland.

The Credit Cycle and the Business Cycle in the Economy of Turkey

This study examines econometric relationships between bank lending and the business cycle in Turkey. Firstly, the cyclical components of the real GDP and real bank loans were determined using time series. A cointegration analysis and a vector error-correction model with quarterly data were used for period of 1987：01-2013：03. The results of cointegration analysis indicate that there is a single stable long-run equilibrium relationship between real bank loans and macroeconomic variables. The response of bank loans to GDP shocks is positive. Bank loans have pro-cyclical character in Turkey.

Financial Development, Trade Openness, and Economic Growth in Zambia

This study investigates the causal relationship among financial development, trade openness, and economic growth in Zambia from 1965 to 2011. Two measures of financial development were used： broad money and domestic credit to the private sector, each as a ratio of gross domestic product （GDP）. In this regard, two models were developed for each indicator. The Augmented Dickey-Fuller （ADF） and Phillips-Perron （PP） tests were used to determine stationarity of all the variables. Furthermore, Johansen test was employed to ascertain possible cointegration among variables. The vector error correction model （VECM） was employed to examine the short-run and long-run dynamics among the variables in each model. The results indicate that the relationship among financial development, trade openness, and economic growth is sensitive to the financial development indicator chosen.

China＇s Round-Tripped FDI： Trends,Determinants, and Policy Implications

With observations and reflections on a series of phenomena,such as the ＂independent situation＂of China＇s FDI during the recent global financial risis and the increase of round tripped investment after the ＂tax rate unification,＂this paper examines a unique phenomenon in China＇s FDI-round tripped investment.It reveals its determinants from a micro-perspectiv ,and establishes a vector error correction mode（VECM）for emprirical testing.The results is that the determinants of China＇s round tripped investment are institutional factors such as ＂achievable differential treatment＂ and cpaital control.Tax ,exchange rate,housing price and capital control intensity all have an impact on the scale of round tripped FDI.However,judging from the extent of influence,the most important factor should be exchange rate ,followed by capital control intensity and housing price,and tax has a limited impact.

Environmental regulation and trade pattern:a case of China

As a growing number of countries, including both developed and developing countries, have in recent yearstaken environmental regulation at different levels, a question of great concern has been raised: can the regulation alterthe existing trade volume and trade pattern, and ultimately drive pollution-intensive industries to countries with low-levelregulations or even those without regulations at all? Starting from the three different propositions concerning therelationship between environmental regulation and trade pattern, this paper applies cointegration analysis and errorcorrection model to empirically testing the relationship between environmental regulation and trade in China during theperiod of 1985-2005. Our empirical results indicate that in the short run the collection of pollution discharge fees bearsa positive impact on the export share of clean products of total exports. Thus, higher pollution discharge fees raise theratio of clean products exports to total exports. This further indicates that more stringent environmental regulationpromotes the exports of clean products. In the long run pollution discharge fees are positively correlated with the exportshare of clean products but negatively associated with their import share. Such correlations imply that environmentalregulation tends to facilitate the international specialization in line with comparative advantages.

China＇s Trade Slowdown： Cyclical or Structural？

This paper analyzes whether the slowdown of China＇s trade in 2012-2015 was cyclical or structural, and further discusses the effects of structural factors, including trade structure, trade protectionism and global value chain participation, Using the national panel data from 2000 to 2015, based on the error correction model and import-intensity- adjusted demand model, our results show that the slowdown of China＇s trade growth in 2012-2015 was mainly a result of cyclical factors. Using 2000-2015 industry- level data, we also find that the structure of trade goods had an inhibitory effect on the import slowdown but a positive effect on the export slowdown. Trade protectionism had an adverse effect on the trade growth slowdown. The global value chain participation marginally contributed to the slowdown in trade growth. Therefore, the impacts of structural factors on trade growth slowdown cannot be ignored, and related policies should receive greater attention from policy-makers.

Electricity Consumption and Economic Growth in the Beijing-Tianjin-Hebei Agglomeration of China

Nowadays, increased attention is being paid to the causal relationship between electricity consumption and economic growth. This paper attempts to examine the causal relationship between electricity consumption and economic growth for China＇s Beijing-Tianjin-Hebei agglomeration, using annual data covering the period 1982- 2008. In this study, unit root tests, the Johansen co-integration test, and the Granger causality test are applied. The empirical results indicate that the two series （electricity consumption and economic growth） of the three locales （Beijing, Tianjin, and Hebei） are non-stationary. But first differences of the two series are stationary. The results of the Johansen co-integration test indicate that electricity consumption and economic growth are co-integrated in Hebei and Tianjin while this is not the case in Beijing. The Granger causality test implies that there is causality running from electricity consumption to economic growth in all of the three locales. Causality running from economic growth to electricity consumption is found in Hebei and Beijing while this is not the case in Tianjin. This means that an increase in electricity consumption directly affects economic growth and that economic growth also stimulates further electricity consumption in Hebei and Beijing. But in Tianjin, an increase in electricity consumption directly affects economic growth while economic growth cannot affect electricity consumption. These findings can provide useful information for local governments of the three locales to formulate sustainable energy and economic policies. The study is of great significance for circular economy and building a resource-conserving society.