Search results

This study examines the role of behavioural factors, such as confidence, optimism, pessimism and rational expectation, in affecting investment decisions in the Pakistani stock market.

Using daily trading data of Karachi Stock Exchange-100 index from January 2012 to December 2015, different regression models, including descriptive statistics and stationarity tests, are performed.

Results indicate that stock market trading has suffered from pessimistic behaviour of investors. In the first model, the authors find a positive sign of confidence and negative sign of optimism with the trading volume. The second model shows a positive role of confidence and rational expectations in affecting the trading volume in daily, Monday and Friday samples. The results of the third model show a negative sign of both optimism and rational expectation with the trading volume. Furthermore, the next model shows a negative sign of confidence combined with pessimism while testing their relationship with the trading volume. Finally, results of the final model suggest that optimism negatively affects the trading volume, and on the other hand, pessimism has a positive impact on the trading volume.

The method and empirical testing of behavioural biases and their relationship with economic variable used in this study seem to be a promising way to better understand the role of psychology in deriving financial decisions for academics and policymakers.

This study uses secondary data for measuring behavioural biases and decomposes the effect between rational expectation and behavioural biases.

Some scholars argue that corruption hinders economies and investment because it generates extra costs, while others suggest that it can act as a stimulus. Their mixed empirical findings have prompted the analysis of whether investors' attitude towards corruption changes depending on its degree of prevalence.

The authors examined 4,518 public–private partnerships (PPPs) located in 46 developing countries for the period 1997–2017. The data were collected from the World Bank PPP database. The authors investigated the relationship between the amount of investment in PPP projects and the level of corruption using regression with multilevel mixed effects.

Corruption and the amount of investment in PPP projects are inversely related at the low and high end of the spectrum of corruption, but the relationship is positive towards the middle. Further analysis revealed that this was spurred by high investment PPP projects in less developed countries.

The findings allow the authors to reconcile the opposing positions in the literature through a “sand–grease–sand the wheels” effect between the volume of investment and corruption, which can be configured as a reverse S-shape consisting of three stages.

This study aims to explore the interdependent impacts of online word-of-mouth (WOM) and online ads on digital product adoptions, as well as their dynamic changes throughout the product life cycle.

This study adopted an empirical approach by using a unique data set of five mobile games launched between 2012 and 2014 provided by Renren Games Ltd. in China.

The results indicated that advertising generally has a positive impact on WOM. During the product life cycle, the influence on volume and variance gradually decreases, whereas the impact on valence increases over time. WOM (including WOM volume and WOM valence) and advertising both have positive impacts on game adoptions. They complement each other to shape adoptions throughout the product life cycle: advertising is more effective in encouraging adoptions in the early and later stages of the demand evolution process, whereas WOM has a greater impact on adoptions in the mid-stage.

This study provided detailed managerial recommendations on how to effectively integrate different types of marketing communication and optimize the investment strategy of online ads and online WOM in different stages of the product life cycle.

First, the study enriched the theory of digital marketing communication by studying the relationship between mass media (online ads), interpersonal media (online WOM) and product adoptions in the network context. Second, it provided an empirical basis for the inference of the dynamic development of media effect in the new product diffusion theory. Third, the results will be helpful to end the debate in current theoretical literature on whether there is a complementary or alternative relationship between the two effects. Last but not least, it enriched research on the antecedents and dynamic effects of online WOM.

The chapter analyzes the modern features of the movement of foreign investments and the participation of the Republic of Belarus in this process. Trends in foreign direct investment (FDI) flows in the context of different countries and the structure of investment capital in our country have been considered. A greater priority in attracting investments in large projects in the form of equity participation compared to debt instruments and profits refinancing has been justified. The largest projects with foreign investments as well as features of outgoing FDI have been considered. The activities of foreign transnational corporations and the factors hindering the internationalization of business activity of domestic enterprises have been studied in detail. The priority areas of government in activities to promote the attraction of FDI to the Republic of Belarus have been analyzed.

This study aims to explore the impact of energy investment on economic growth. Specifically, the study investigates the impact of energy consumption, foreign investment, infrastructure development, tax revenue, human capital, international tourism revenue and trade volume on economic growth.

To achieve the aim, the authors sample the 24-years (1996–2019) financial statistics of BRICS countries. Given the econometric recommendations supplemented by the Johnsen cointegration test, the current study uses the fully modified ordinary least square model for regression analysis and checks the robustness through robust least square model.

The statistical analysis shows a direct impact of energy investment on economic growth. In addition, the statistical results indicate a positive impact of energy consumption, foreign investment, infrastructure development, tax revenue, human capital and trade volume on economic growth.

The results present practical implications for policymakers regarding the adequate investment in energy production that can further promote the economic growth in BRICS countries. Policy officials should enhance the volume of renewable energy production, foreign investment and tax revenue. Additionally, it is equally suggested to policymakers regarding the development of infrastructure and human capital to ensure economic growth.

This study supplements the novel and robust evidence on investment in energy-leading economic growth.

The purpose of this study is to substantiate the necessity and to develop the innovative mechanism of government support for the investment activities of digital universities for provision of region’s investment attractiveness in the conditions of Industry 4.0.

The authors use the method of regression analysis for determining the dependence of the aggregate volume of investments (internal and external), which are attracted into the regional economy, on the volume of investments into fixed capital in the sphere of education (as the indicator of investment activities in the sphere of digital education) by the example of the regions of the Volga Federal District of the Russian Federation in 2018.

It is substantiated that the modern Russian mechanism of government support for investment activities of universities (including digital), which is based on such tools as norming and standardization, tax preferences and co-financing, does not allow for full implementation of the existing potential of digital universities in increasing region’s investment attractiveness in the conditions of Industry 4.0, which reduces the investment rating and volume of attracted investment resources in the regional economy – as is shown by the example of the regions of the Volga Federal District of the Russian Federation.

The determined problem could be solved by the presented innovative mechanism of government support for the investment activities of digital universities for provision of region’s investment attractiveness in the conditions of Industry 4.0. It is implemented on the basis of new – for modern Russia – tools: information and consultation support for investment activities and institutional support for integrating digital universities for joint realization of the investment projects in a region. The advantage of the developed mechanism is transfer of the financial load and responsibility for the investment activities from the state to digital universities because of the creation of market stimuli for conducting these activities.

The purpose of this paper is to analyze the main motives of investors in allocating their money in a socially responsible (SR) way.

The paper is based on primary data collected in a survey using an online questionnaire. This paper applies tests for continuous and categorical data and (ordered) logit models.

In a multivariate analysis that investigates determinants of SR investing, this study finds little influence of the demographic factors of gender and investment volume and none of educational level. Furthermore, it shows that the regions investors allocate their money to are significant along with the preference toward the order of return, risk and liquidity. Moreover, there appears to be a gap between supply and demand of SR investments. Additionally, there are indications that a very important inducement for SR investing is the expectation of a high financial performance.

There are very few international studies concerning the link between SR investments and the explanation of preferences with factors other than demographic ones. This study broadens the scope of the literature by providing novel empirical evidence for the German-speaking market.

By comparing and contrasting the two scenarios of power producers investing in renewable energy and electricity sellers investing in renewable energy, we explore the conditions under which profit growth and carbon emission reduction can be realized, and provide a theoretical basis for decision-making on renewable energy investment by electric power companies as well as for government policy formulation.

This paper constructs a game model of a grid supply chain consisting of a leader generator and a follower seller in the context of the C&T mechanism, considering two scenarios in which the generator and the seller invest in renewable energy. Conclusions are drawn by comparing and analyzing the equilibrium solutions in different scenarios.

The scenario where electricity sellers invest in renewable energy exhibits a higher investment volume compared to the scenario involving power generators. In scenarios where power producers invest in renewable energy, electricity sellers achieve lower profits than power generators, while scenarios with electricity seller' investments yield higher profits for them. Increasing the cost coefficient of renewable energy investment reduces investment volume, electricity prices and electricity demand, leading to decreased profits for electricity seller but increased profits for power generator. A rise in the preference coefficient for renewable energy results in increased profits for electricity seller but decreased profits for power generator.

Addressing a literature gap in the context of low carbon, this study examines the investment scenario of electricity sellers in low carbon technologies, complementing existing research focused on power generators and consumers. The findings enrich knowledge in low carbon investment. By analyzing the investment decisions of both power producers and electricity sellers, this study explores the practical implications of renewable energy investments on the decision-making and operational dynamics of power supply chain enterprises. It sheds light on their profitability and investment strategies.

Banks perform, in general, two functions; one is to collect deposits and the other is to issue loans. In the traditional banking system depositor would be guaranteed a predetermined return on the nominal value of the deposit by the bank; furthermore, in most cases the deposits, themselves, are insured (FDIC is an example). Loan users in return pay a predetermined return on the amount of fund used; besides, the user has to provide a safe collateral in order to guarantee the principal and the interest. Hence it can be safely said that these banks play a passive role in the economy in the sense that their operations are quite inflexible in the face of any economic fluctuations. As the result it has rightly been said that in these banks “…since the nominal value of deposits is guaranteed … shocks that can lead to banking crisis can cause divergence between real assets and real liabilities and it is not clear how this equilibrium would be corrected and how long the process of adjustment would take.” This is the real essence of fund intermediary function of a traditional (capitalistic) bank.

As foreign direct investment (FDI) plays an important role in economic globalization. This paper examines the structural features of the global FDI network based on FDI flows data and changes in the position of countries within the network.

In order to study the structural characteristics of the global FDI network and the status and changes of countries in the global FDI network, the authors build the investment network and apply the QAP (Quadratic Assignment Procedure) analysis to examine the evolutionary characteristics of the network and its influencing factors.

The global FDI network becomes more interconnected and has a clear “core-periphery” structure. The network connections and volumes have increased dramatically and most countries spread their assets across multiple countries, while only a handful of countries have concentrated investments. The topological structure of the global FDI network has changed noticeably, although this process has been slow and stable and countries in the core position have remained largely intact. The authors find that trade relations between countries, geographic distance and differences in economic size, income levels and institutional environments all have a significant impact on the global FDI network.

Although we find some valuable results, some aspects need further investigation. For example, how a country uses the investment network to boost its economy and how the different industries in the investment network change over time. It is important to get the industry-level details to understand the impact of the global investment network from a government's perspective.

FDI affects the distribution of international capital and contributes to the development of the global economy. Therefore, it is important to study the characteristics of the global FDI network and its development patterns. With more understanding about the network as well as its evolutionary pattern, the government can possibly carry out some policies to promote direct investments as well as economic development.

All countries should actively engage in international direct investments and strengthen their economic ties. At the same time, they can put more emphasis on inward or outward FDI based on their own level of economic development to better establish the circulation channel for domestic and international capital.

This paper examines foreign direct investments through the lens of a global network. In contrast to traditional bilateral studies, this paper focuses on the network structure and evolution, reflecting the dynamics of the entire direct investment system as well as the changing positions of participating countries.