Defence spending,economic growth and temporal causality: evidence from Taiwan and mainland China, 1952-1995

This paper uses a cointegration analysis and a vector autoregressive model (VAR) to examine the causal relationship between defence spending and economic growth for Taiwan and Mainland China over the period 1952–1995. It is found that these two variables are not cointegrated for both countries studied. The results of the Granger causality tests suggest bidirectional Granger causality (feedback) between defence spending and economic growth for Taiwan, unidirectional Granger causality running from economic growth to defence spending for Mainland China, and unidirectional Granger causality running from Taiwan's defence spending to Mainland China's defence spending for cross-country studied. These results further indicate that there exists no arms race between two countries from both sides of Taiwan strait. Furthermore, impulse responses and variance decompositions are incorporated into the analysis. The results from the impulse responses and variance decompositions tell a similar story.     

CO2 emissions,output, energy consumption,and trade in Tunisia

This article contributes to the literature by investigating the dynamic relationship between carbon dioxide (CO₂) emissions, output (GDP), energy consumption, and trade using the bounds testing approach to cointegration and the ARDL methodology for Tunisia over the period 1971–2008. The empirical results reveal the existence of two causal long-run relationships between the variables. In the short-run, there are three unidirectional Granger causality relationships, which run from GDP, squared GDP and energy consumption to CO₂ emissions. To check the stability in the parameter of the selected model, CUSUM and CUSUMSQ were used. The results also provide important policy implications.     

Dynamics between energy,output, openness and financial development in sub-Saharan African countries

This study aims to establish the connection between energy use, economic output, financial development and trade, based on the panel data of 15 sub-Saharan African (SSA) countries during the period from 1983 to 2010. One full main panel and two subpanels were created by incorporating low-income and middle-income countries. The panel cointegration test results indicate a long-run relationship between the variables. The mean group (MG) estimators show that energy consumption, financial development, capital and international trade have significant impacts on economic output. In the case of middle-income countries, the Granger causality analysis reveals that rising economic output leads to higher energy consumption, but this is not true vice versa. This means that energy conservation measures are unlikely to have adverse impacts upon economic output. On the other hand, there is a complementary relationship between financial development and energy consumption. In this case, energy conservation measures should be critically analysed and implemented, so as not to have an unfavourable impact on financial development. In regard to low-income economies, there is no relationship between energy use and any of the other variables mentioned. Thus, a reduction in energy consumption has little or no significant impact on output, financial development, capital and trade.     

Cointegration and causal relationships among steel prices of Mainland China, Taiwan, and USA in the presence of multiple structural changes

Variation in the price of steel is an important factor to take into consideration when discussing cost control and management decisions in the construction industry. We employ various conventional and advanced econometrics methods to examine the interrelationships of steel prices in three related markets during the time period June 2002 to May 2010: Mainland China (CH), Taiwan (TW), and the United States (US). We adopt the Gregory and Hansen (GH) test and regime-switching (RS) model for cointegration, both of which accommodate endogenous structural break(s), to produce a more accurate analysis of a period in the presence of structural change(s). The empirical result of the RS cointegration test with respect to multiple structural breaks suggests a long-run equilibrium relationship among the three variables considered. This finding differs from the result of the GH test but confirms the result of the conventional Johansen test. Furthermore, the results of the Granger causality test indicate that both CH and US steel prices have great influence on the TW steel price; the Taiwanese steel market is closely linked with China and US steel markets in the long run.     

中国能源、环境、工业化与经济增长关系的实证分析

本文利用计量经济理论,建立了向量误差修正模型,对我国经济增长、工业化水平、能源和环境之间的关系进行了协整检验、格兰杰因果关系检验。得到以下结论:第一,能源、环境、工业化和经济增长之间具有长期均衡关系;第二,经济增长和工业化水平是造成能源消费和环境问题的格兰杰原因,经济增长和工业化水平间相互影响;第三,短期内经济增长和工业化水平是影响能源消费、环境问题的主要因素。     

CO2 emissions,economic growth,energy consumption,trade and urbanization in new EU member and candidate countries: A panel data analysis

This paper investigates the causal relationship between energy consumption, carbon dioxide emissions, economic growth, trade openness and urbanization for a panel of new EU member and candidate countries over the period 1992–2010. Panel unit root tests, panel cointegration methods and panel causality tests are used to investigate this relationship. The main results provide evidence supporting the Environmental Kuznets Curve hypothesis. Hence, there is an inverted U-shaped relationship between environment and income for the sampled countries. The results also indicate that there is a short-run unidirectional panel causality running from energy consumption, trade openness and urbanization to carbon emissions, from GDP to energy consumption, from GDP, energy consumption and urbanization to trade openness, from urbanization to GDP, and from urbanization to trade openness. As for the long-run causal relationship, the results indicate that estimated coefficients of lagged error correction term in the carbon dioxide emissions, energy consumption, GDP, and trade openness equations are statistically significant, implying that these four variables could play an important role in adjustment process as the system departs from the long-run equilibrium.     

Is energy consumption effective to spur economic growth in Pakistan? New evidence from bounds test to level relationships and Granger causality tests

The present study investigates the relationship between energy (renewable and nonrenewable) consumption and economic growth using Cobb–Douglas production function in case of Pakistan over the period of 1972–2011. We have used the ARDL bounds testing and Gregory and Hansen (1990) structural break cointegration approaches for long run while stationarity properties of the variables have been tested applying Clemente-Montanes-Reyes (1998) structural break unit root test.Our results confirm cointegration between renewable energy consumption, nonrenewable energy consumption, economic growth, capital and labor in case of Pakistan. The findings show that both renewable and nonrenewable energy consumption add in economic growth. Capital and labor are also important determinants of economic growth. The VECM Granger causality analysis validates the existence of feedback hypotheses between renewable energy consumption and economic growth, nonrenewable energy consumption and economic growth, economic growth and capital.     

Intersectoral wage linkages: the case of Sweden

The purpose of this study is to investigate whether wage-setting in certain sectors of the Swedish economy affects wage-setting in other sectors. The theoretical background is the Scandinavian model of inflation, which states that wage-setting in the sectors exposed to international competition lead wage-setting in the sheltered sectors of the economy. The Johansen maximum likelihood cointegration approach is applied to quarterly data on Swedish sector wages for the period 1980:1–2002:2. Different vector error correction (VEC) models are created, based on assumptions as to which sectors are exposed to international competition and which are not. Granger causality tests are then carried out in the different restricted/unrestricted VEC models to test for sector wage leadership. The Granger causality tests provide strong evidence for the presence of intersectoral wage causality, but no evidence of a wage-leading role for the internationally exposed manufacturing sector.      

Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates

This article contributes to the discussion on the dynamic nexus of renewable energy consumption and unemployment by incorporating nonlinear cointegration and causality analysis. Using a sample of 80 countries spanning the period 1990–2013 and the advanced generation of unit root, cointegration and nonlinear Granger causality methodological approaches in panel data, we obtain mixed results about the impact of renewable energy consumption on unemployment. Although the total findings document a positive impact of renewable energy consumption on unemployment, disaggregated data across specific regions, such as Asia and Latin America, highlight the favourable effect on unemployment, implying that the effect of renewable energy consumption on jobs creation depends on the cost of adopting renewable energy technologies and energy efficiencies that seem to vary across the regions under investigation.     

Are international value premiums driven by the same set of fundamentals?

This paper investigates the long-run behaviour of international value premium price indices for G7 countries using data from January 1975 to December 2002. We use Johansen [Johansen, S., 1991. Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica 59, 1551–1580; Johansen, S., 1995. Likelihood-based Inference in Cointegrated Vector Autoregressive Models, Oxford University Press] cointegration methodology and find one cointegrating vector for the period of December 1987 to December 2002. The results are robust to local currencies and a common currency. The cointegrating vector may reflect expectations about future economic activity since investors can adjust demand for either value or growth stocks depending on expected economic growth. Our results show that the cointegrating relationship can predict both future changes in the growth of logged industrial production and future stock market returns.     

Exports,Imports and Income in Taiwan: An Examination of the Export Led Growth Hypothesis

Cointegration and vector autoregression are used to examine relationships among exports, imports, and income in Taiwan from 1971 to 1995. These three series are cointegrated. There is bidirectional Granger causality between exports and imports, and between imports and income. Impulse responses and variance decompositions uncover only weak links from exports to income. The export led growth hypothesis is not supported for Taiwan during this period of rapid growth. [F1, F4, O0]     

Seasonality and stochastic trends in German consumption and income, 1960.1–1987.4

The quarterly time series of German consumption and income are analyzed with respect to seasonality and stochastic trends. It emerges that both variables can be appropriately described by a periodically integrated autoregression. An implication is that the stochastic trend and the seasonal fluctuations are not independent for each of the univariate series. In order to test for cointegration across the two series, we propose several methods which take account of the relationship between seasons and trends in the univariate series. Some of these methods boil down to extracting the stochastic trend from the univariate series in a first step and to relating these trends using cointegration techniques in a second step. Another method is an extension of the Johansen cointegration testing approach to periodic vector autoregressions. Monte Carlo simulations are used to evaluate the empirical performance of the various methods. The main empirical result is that only in the first quarter there seems to be cointegration between German consumption and income.     

Household Debt,Consumption, and Income Inequality

Using the Johansen and Engle–Granger cointegration tests, we show that there is one cointegrating relationship between household debt, consumption, and income inequality in the United States for the period from 1929 to 2009. Given this result, we use a Vector Error-Correction model to further understand the dynamics among the three variables. Results indicate that increases in income inequality and consumption directly contribute to increases in household debt. Interestingly, the results reveal some feedback from household debt to income inequality. We also show that debt-driven consumption should be viewed with caution as the results show that increases in household debt correspond with future declines in the rate of consumption.     

Linkages between inflation,economic growth and terrorism in Pakistan

This paper investigates the linkages between inflation, economic growth and terrorism using annual frequency data over the period of 1971–2010, the maximum time period for which consistent data is available for Pakistan. The ARDL bounds testing approach to cointegration has been applied while robustness of long run relationship is established by using rolling window approach. The empirical evidence confirms the cointegration between inflation, economic growth and terrorism in Pakistan. An increase in inflation raises terrorist attacks while economic growth is also a major contributor to terrorism. Moreover, bidirectional causality is found between inflation and terrorism as investigated by the VECM Granger-causality approach while variance decomposition approach also supports the findings by the VECM Granger causality analysis. Our results therefore points to benefits of pursuing sustainability of low inflation in reducing terrorism. However, it also implies some difficulties for policy-makers in Pakistan in their pursuit for economic growth as latter would result in an increase in terrorism activities crowding out some of the benefits of economic growth.     

Imports and exports in 50 countries: Tests of cointegration and structural breaks

This paper provides new evidence on the long-run convergence between imports and exports in 50 countries over the quarterly period 1973:2 to 1998:1. Cointegration analyses are based on the Johansen [Johansen, S. (1995). Likelihood-based inference in cointegrating vector autoregressive models. New York: Oxford University Press.] and the Stock and Watson [J. Am. Stat. Assoc. 83 (1988) 1097.] system approaches. Evidence of stability of the cointegration space is examined using the SupF test developed by Hansen [J. Bus. Econ. Stat. 10 (1992) 321]. Based on the Johansen technique, we find evidence in favor of cointegration in 35 of the 50 countries. In addition, cointegration is confirmed for all countries (except Mexico) using the Stock and Watson test. This finding indicates that macroeconomic policies have been effective in the long-run and suggests that these countries are largely not in violation of their international budget constraint. We find evidence that in most of the countries where the slope coefficient on the export variable is positive, the cointegrating coefficient is also unity. The cointegration space appears stable for most of the countries. Nonetheless, the results suggest that countries in the regions of the Middle East, Latin America, and Europe have cointegrating relations that are more unstable than those in other regions.     

Determinants of renewable energy adoption in China and India: a comparative analysis

This article examines the dynamic relationships among output, carbon emission and renewable energy generation of India and China during the period 1972 to 2011 using a multivariate vector error correction model (VECM). The results for India reveal unidirectional short-run causality from carbon emission to renewable energy generation and from renewable energy generation to output, whereas in the long run, the variables have bidirectional causality. Causalities in China give a rather different scenario, with a short-run unidirectional causality from output to renewable energy and from carbon emission to renewable energy generation. In the long run, for China, unidirectional causality is found from output to renewable energy generation, while bidirectional causality is found between carbon emission and renewable energy generation.     

信贷资金配置的市场化程度分析

尽管政府取消了对银行贷款规模的直接控制,改成了对银行的贷款进行窗口指导管理,但在实际操作中,政府对信贷资金的分配仍然有十分强大的控制权.为了考察当前我国信贷市场资金分配的市场化程度,本文以最近五年的宏观金融统计数据,采用了协整检验、向量误差修正模型、Granger因果检验等计量方法验证了我国贷款资金分配的市场化程度.结论表明,当前我国信贷资金分配的市场化程度较低,非市场因素在影响信贷资金的分配中仍占主导作用.     

对我国外汇储备超适度规模的实证分析——基于改进的阿格沃尔模型

本文运用改进的阿格沃尔模型,选取1994-2010年数据对我国外汇储备适度规模进行了实证分析,结果表明:目前我国外汇储备规模已经明显过量。Johansen协整检验和Granger因果关系检验显示:进出口额、GDP、外商直接投资与外汇储备规模之间存在长期协整关系,对外汇储备规模能够产生长期的影响;但外债余额尤其是短期外债余额和广义货币供应量也能在短期内对外汇储备规模产生影响。本文认为,改善贸易结构并扩大内需,加大进口力度并支持对外投资,重视GDP的质量并促进经济理性增长,严格外企准入制度并转变外企引进结构,增强人民币汇率弹性等政策措施是抑制我国外汇储备过度增长的有效途径。     

经济增长与能源消费：来自山东省的经验证据

本文运用协整分析和误差修正模型技术．探讨山东省经济增长与能源消费之间的关系。实证研究结果表明，山东省经济增长与能源消费存在长期均衡关系．并存在从经济增长到能源消费的单向因果关系；经济增长与能源消费之间的关系是非线性的，因而不能从能源消费的线性变化推测出经济增长率的变化；山东省经济受电力消费的影响较大，为了在2010年单位地区生产总值能源消耗降低20％的政策目标．山东电力消耗较高的产业必须加以调整。