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The purpose of this paper is to investigate the effect of macroeconomic factors in income growth, as defined by IS‐LM, and the relation between these factors and economic cycles. More precisely, the paper aims to investigate how the demand and supply factors affect income growth, while the relation between these factors and economic cycles is also examined.

The sample under examination is the annual US data for 1928‐2007, using the official data as released in the US Bureau of Economic Analysis, while for the crises the used data have been provided by the National Bureau of Economic Research, Graduate Center of the City University of New York. The Business Cycles were examined, using the methodology developed by the National Bureau of Economic Research, Graduate Center of the City University of New York.

The research findings imply that government consumption expenditure growth is the most important factor that affects Gross Domestic Product growth positively. A change of 10 percent in Government consumption leads to 1.65 percent Gross Domestic Product growth. Also, the duration of crises is affected by lowering interest rates, while being also affected by government and personal consumption. Overall, the empirical findings of the study indicate that the role of private investments for Gross Domestic Product growth may be overrated among policy makers, given the low contribution of this factor to Gross Domestic Product growth.

The model used has some limitations. First, it does not examine the effect of a policy over Gross Domestic Product growth in longer time‐spans. Second, it does not investigate factor inter‐reactions. It could also be argued that other factors that would stimulate growth or affect crisis are not accounted for, such as wars, tax policies, international trade and population growth. Finally, the model investigates only the US economy; therefore, it could be argued that the findings may not coincide with findings from other economies.

The paper contributes to the economics literature by adding a further insight into the possible mix of policy that could be followed by regulatory authorities and governments for both the boost of economy and the finalization of economic crises.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this paper is to shed light on the age-old trade-and-economic-growth controversy. The authors do so by utilizing the data relating to the G-20 countries between 1988 and 2013.

The authors seek to establish the formal statistical links between openness to trade and economic growth in the context of interactions with financial depth, gross capital formation, and foreign direct investment. The authors use a panel vector autoregressive model to obtain the estimates. The authors check for the robustness of the results.

The authors find that all the variables are cointegrated. That is, there is a long-run equilibrium relationship between the variables. Moreover, trade openness, financial depth, gross capital formation, and foreign direct investment are all causative factors for the economic growth of the G-20 countries in the long run. At the same time, the short-run results demonstrate that there is a myriad of causal links between these variables.

The decision makers in the G-20 countries wishing to encourage economic growth in the long run should pay close attention to trade openness, financial depth, gross capital formation, and foreign direct investment inflows to their countries.

The authors study an important group of countries over a long span of time, using advanced panel data techniques. The results demonstrate that future studies on economic growth that do not simultaneously consider trade openness, financial depth, foreign direct investment, and gross capital formation will offer biased or misguided results.

The aim of this paper is to forecast the office property returns in Helsinki CBD using both short‐run and long‐run econometric specifications. Real economy, monetary and financial market indicators are included in these specifications to explain the variation in office property returns and forecast them. The paper illustrates the steps that analysts can follow to select models based on common diagnostics criteria and ex post forecasting evaluation tests. The findings of this research are in accordance with the results of previous comparative research in Europe and suggest that the growth of the gross domestic product in Finland is a key variable for modelling and forecasting office property returns in Helsinki. Moreover, the analysis indicated that information from a long‐run relationship of the gross domestic product and the real office return index should be monitored in the future as a way of improving the forecasts through an error correction model. It is predicted that Helsinki office returns will show a growth of about 7.1 per cent on average in the period 1999‐2001.

This paper aims to investigate the causal nexus between foreign direct investment (FDI) and economic growth in SAARC countries.

Johansen's cointegration test was employed to examine the long‐run relationship between foreign direct investment and economic growth in SAARC countries. Besides, the vector error correction model (VECM) was employed to examine the causal nexus between foreign direct investment and economic growth in SAARC countries for the years 1970‐2007. Finally, the impulse response function (IRF) has been employed to investigate the time paths of log of foreign direct investment (LFDI) in response to one‐unit shock to the log of gross domestic product (LGDP) and vice versa.

The Johansen cointegration result establishes a long‐run relationship between foreign direct investment and gross domestic product (GDP) for the sample of SAARC nations, namely, Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka. The empirical results of the vector error correction model exhibit a long‐run bidirectional causal link between GDP and FDI for the selected SAARC nations except India. The test results show that there is a one‐way long‐run causal link from GDP to FDI for India.

This paper employed annual data to examine the causal nexus between FDI and economic growth. Therefore, researchers are encouraged to test the FDI‐growth relationship further by using quarterly data.

The SAARC nations should adopt effective policy measures that would substantially enlarge and diversify their economic base, improve local skills and build up a stock of human capital recourses capabilities, enhance economic stability and liberalise their market in order to attract as well as benefit from long‐term FDI inflows.

This paper would be immensely helpful to the policy makers of SAARC countries to plan their FDI policies in a way that would enhance growth and development of their respective economies.

Hand, foot and mouth disease (HFMD) is a common infectious disease in infants and children. HFMD has caused millions of cases and a large epidemic worldwide. A number of studies have shown that the incidence of HFMD is closely related to various factors such as meteorological factors, environmental air pollution factors and socio-economic factors. However, there are few studies that systematically consider the impact of various factors on the incidence of HFMD. The paper aims to discuss these issues.

This study used grey correlation analysis and principal component analysis (PCA) method to systematically analyse the impact of meteorological factors, health resource factors, socio-economic factors and environmental air pollution factors on the incidence of HFMD in Shenzhen.

The incidence of HFMD in Shenzhen was affected by multiple factors. Grey correlation analysis found eight influencing factors which are as follows: volume of industrial waste gas emission; the days of air quality equal to or above grade; the volume of industrial nitrogen oxide emission; precipitation; the mean air temperature; the gross domestic product; the expenditure for medical and health care; and the gross domestic product per capita. PCA found that the gross domestic product, the volume of industrial soot emission, the relative humidity, and the days of air quality equal to or above grade have a higher load value.

This study is the one of the first studies that apply the grey correlation analysis to analyse the influencing factors of HFMD in the English literature, which to some extent fills up the blank in this field.

This paper aims to examine the prospect of utilising corporate social responsibility and entrepreneurship (CSRE) as antidotes for mitigating the incidences of poverty, insecurity and underdevelopment in Nigeria. The paper derives its theoretical foundation from the stakeholder, instrumental and legitimacy theories, which all justify the use of CSRE for actualisation of Triple Bottom Line (i.e. the social, economic and environmental concerns of business organisations).

The study used the quantitative research method relying on the use of secondary data published by institutional bodies. The quantitative method entail a systematic extraction of reliable data on corporate social responsibility (CSR), insecurity, poverty and development from the publications of Office of the Millennium Development Goals in Nigeria, CLEEN Foundation, National Bureau of Statistics and Central Bank of Nigeria, respectively. For missing years, the authors improvised using projections as well as proxies. The extracted data, which spanned a period of 13 years, were subjected to econometric tests using SPSS, on the basis of which informed conclusions were drawn.

The first econometric result indicates a negative relationship between gross domestic product and poverty. The second result indicates that there is a positive significant relationship between gross domestic product and total crime rate. The third result indicates that there exists a positive relationship between gross domestic product and unemployment rate. The fourth result indicates that there is a negative relationship between gross domestic product and industrial growth rate. The last result indicates that there is a significant positive relationship between gross domestic product and CSR.

The results of this research have macro-level application, hence the outcomes cannot be narrowed to any particular sector of the economy. A micro-level analysis across diverse sectors of the economy is recommended in future studies. The implication of this empirical research is that policymakers in the Nigerian private sector need to reinvent their CSR programmes as mechanisms for poverty eradication, entrepreneurship development (CSRE), dousing tension of restive youth, empowerment/support for security agencies for better crime prevention and for impacting on sustainable development.

In the face of dwindling financial resources in the treasury of governments, the reinvention of CSRE by private sector organisations as complementary mechanisms for combating social problems is becoming acceptable in both developed and developing nations. This paper therefore boldly recommends that policymakers reinvent CSRE as development mechanisms through a sound partnership between government, advocacy groups and business corporations in Nigeria.

The paper explicates that CSR can indeed be reinvented by corporations as part of their social concerns to their operating environment instead of leaving all social problems to governments.

The research lends credence to stakeholder, instrumental and legitimacy theories of CSR. It also justifies the plausibility of CSRE, a novel concept being promoted in this research.

This paper provides a meta‐analysis of the Hirshleifer and Shumway's results on the casual influence of daily cloud cover on stock index returns for 26 international stock exchanges. It aims to test whether these results are influenced by the location of the stock exchange and the development of the economy.

A conventional meta‐analytic procedure is used to synthesise the data. The effect size, of the influence of cloud cover on stock returns, is measured by the Fisher Z correlation coefficient. This is obtained from the t‐statistic of the slope coefficient reported in the regression for each country. Two study characteristics are used to differentiate between the 26 stock exchanges. These are the latitude of the city and the per capita Gross Domestic Product of the country.

The influence of cloud cover on stock returns becomes more negative as latitude increases and more negative as per capita Gross Domestic Product increases. A cloud cover effect does not exist at the equator.

The implication is that trading rules based on cloud cover will be more profitable at higher latitudes.

Meta‐analyses are infrequently used in the Finance literature. This paper illustrates their utility.