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This study aims to assess the technological capability of Chinese internet platforms (BAT: Baidu, Alibaba, Tencent) compared to US ones (GAFA: Google, Amazon, Facebook, Apple). More specifically, this study explores Baidu’s technological catching-up process with Google by analyzing their patent textual information.

The authors retrieved 26,383 Google patents and 6,695 Baidu patents from PATSTAT 2019 Spring version. The collected patent documents were vectorized using the Word2Vec model first, and then K-means clustering was applied to visualize the technological space of two firms. Finally, novel indicators were proposed to capture the technological catching-up process between Baidu and Google.

The results show that Baidu follows a trend of US rather than Chinese technology which suggests Baidu is aggressively seeking to catch up with US players in the process of its technological development. At the same time, the impact index of Baidu patents increases over time, reflecting its upgrading of technological competitiveness.

This study proposed a new method to analyze technology mapping and evolution based on patent text information. As both US and China are crucial players in the internet industry, it is vital for policymakers in third countries to understand the technological capacity and competitiveness of both countries to develop strategic partnerships effectively.

The purpose of this paper is to analyse the role that different financial sources and financial specialization have on private research and development (R&D) activity in OECD countries.

The authors developed several panel regressions choosing as a final model a two-way random effects regression to understand which funding sources are related to the R&D expenditure, and how financial specialization has links to the private portion of R&D aggregated expenditure. The authors include data from the years 2000 to 2016 for OECD countries.

The results reinforce the critical role that stock markets have in enhancing private R&D and that bond markets have an inverse relationship with private R&D national expenditures. The authors do not find evidence of a link between bank sources and private R&D. Specialized financial systems (banking or market) support innovation in a better way than a mixed arrangement of those two systems.

The findings of this study have considerable policy implications. Policymakers need to be aware of these results, given that some variables related to financial markets, seems to boost the inputs for R&D. In the long term, this could be a signal that national and regional systems of innovation need a broad view of the factors hampering scientific activity, and also a signal that there are other ways to impact the results of the complex innovation activity through the development of stronger financial systems backing up national systems of innovation.

The authors found that the long discussion about the financial system that a country has to choose to enhance growth with R&D&I may have been misleading the public policy. The findings show that rather than a bank or a stock market financial system, economies looking to boost R&D&I, must specialize in one of the two systems, deepen these and generate the appropriate policies to promote science, technology and innovation using those financial markets.

Both investors and the stock markets are believed to behave in a perfectly rational manner, where investors focus on utility maximization and are not subjected to cognitive biases or any information processing errors. However, it has been discovered that the sentiment of the social mood has a significant impact on the stock market. This study aims to analyze how did the protest event of Tesla happened in April 2021 have a significant effect on the company's stock performance as well as its competitors, Nio, under the competitive effect.

The research is based on time series data collected from Tesla and Nio by employing 10 days, 15 days and 20 days anticipation and adjustment period for the event study. This study employed a text sentiment analysis to identify the polarity of the sentiment of the protest event using the Microsoft Azure machine learning tool which utilizes MPQA subjective lexicon.

The findings provide further evidence to show that a company-specific negative event has deteriorating effects on its stock performance, while having an opposite effect on its competitors.

The paper argues that negative sentiments through social media word of mouth (SWOM) affect the stock market not just in the short run but potentially in the longer run. Such negative sentiments might create a snowball effect which causes the market to further scrutinize a company's operations and possibly lose confidence in the company.

This study explores how the Tesla's protest event at Shanghai Auto Show 2021 has a significant impact on Tesla's stock performance and prolonged negative impact although Tesla implemented immediate remedial actions. The remedial actions were not accepted positively and induced a wave of negative news which had a more persistent effect.

The importance of sovereign bond as a source of financing revenue deficit, benchmarking for corporate bonds and debt management in Africa, calls for continual monitoring of its volatility dynamics. This study evaluates the nature of sovereign bond volatility interaction between African countries using bivariate BEKK-GARCH (1, 1) model. Based on a sample of eight African countries, the results show evidence of unidirectional volatility spillover from Morocco sovereign bond to Egypt sovereign bond. Next, the results show absence of volatility interaction between Ghana and Nigeria sovereign bonds. The results further show the existence of bidirectional volatility transmission between Uganda and Kenya. Finally, the results indicate evidence of bidirectional volatility interaction between Botswana and South Africa. Overall, the results show existence of full interaction between Uganda–Kenya and Botswana–South Africa sovereign bond returns, partial interaction between Egypt and Morocco sovereign bond returns and no interaction between Ghana and Nigeria sovereign bonds markets. Thus, these results provide valuable implications for sovereign and corporate credit risk management, as well as strategy for monitoring and minimising negative effect of sovereign bond volatility spillover in Africa.

This paper investigates the effect of state-society relations on the industrially-related growth paths of developed countries.

It introduces a novel theoretical framework, the state-business-labor relations (SBLR) framework, where four main actors are identified: the state, big businesspersons or tycoons, owners and managers of small and medium enterprises (SMEs) or Entrepreneurs and labor. Different SBLR categories or modes are introduced depending on levels of coordination and power relations between the studied actors. The paper then investigates how these SBLR modes, through adopting various policies targeting the industrial sector, lead to different growth paths. Rather than focusing only on economic growth, this research regards a growth path as a matrix of the performance in long-run growth and equality of distribution.

Using regression analysis and statistical data, the results suggest that the Co-Balanced mode, having higher levels of coordination and lower favoritism, leads to the best growth path among the four introduced modes, especially with its emphasis on high levels of venture capital availability and easiness of starting business. while the Lib-Capture mode, characterized by lower coordination and higher favoritism, seems to have the worst growth path and the best implemented policy for this mode is suggested to be high profit taxes that seem to counter the negative impact of the existing high levels of favoritism.

Despite the important findings that this research has reached, this paper is mainly meant to open a further investigation into this topic and open this dimension that the research on VoC and political economy have under-researched. A deeper investigation of SBLR typologies that could only be possible by having richer datasets with more data on coordination for the whole world, rather than only the advanced economies, would further our understanding of the dynamics that shape the growth paths of different countries of the world.

To realize the best industrial growth path, fighting favoritism should be an important objective. The negative impact of favoritism on innovation could not be disregarded in the eve of the fourth industrial revolution, where innovation is increasingly pivotal to future industrial development. Actively engaging societal groups in the policymaking process is important in addressing their concerns and balancing them at the same time. This should lead to the double benefit of formulating better policies that should foster growth as well as provide better distribution of this growth. High levels of coordination should help in realizing this objective. Yet, this could only be possible if societal groups are free to associate and aggregate their power and when there are means of preventing one actor from gaining more favorite treatment and exclusive influence over policymakers. The presence of both powerful and broadly represented business associations and labor unions and the existence of a government interested in coordinating their efforts-rather than letting itself be controlled by one group at the expense of the others-should help in the realization of the best growth path. Thus, institutional reform that empowers societal groups and enables them to defend their interests as well as fights all forms of corruption should lead to the realization of a more prosperous and equitable industrial development, with the “re-industrialization” of the developed world being no exception. The technological and social challenges of intensive automation and digitalization accompanying the fourth industrial revolution make the envisaged institutional reform more urgent.

This paper is introducing a novel theoretical framework for studying the effect of state-society relations, particularly SBLR, on the industrial growth paths of developed countries. It integrates three important bodies of literature in order to build a more comprehensive understanding of the dynamics of state-society relations and their economic consequences. These are the Varieties of Capitalism (VoC), State-Business Relations (SBR) and Industrial Relations. The SBLR framework differentiates between tycoons and entrepreneurs, an important distinction that often goes unnoticed. Different SBLR categories or modes are introduced, depending on levels of coordination and power relations between the actors. It is proposed in this research that the effect on growth paths goes beyond the simple dichotomy between CMEs and LMEs usually present in the literature of VoC and that power relations provide an essential complementary dimension in explaining this causality.

This paper investigates the factors responsible for the emergence of different arrangements of state–society relations. Being concerned with the relations related to the industrial sector, this study focuses more on state–business–labor relations (SBLRs), especially on power dynamics between the main actors in these relations, namely, the state, tycoons, entrepreneurs and labor.

Based on power dynamics, four SBLR modes are identified and differentiated according to state power vis-à-vis non-state actors and tycoon power vis-à-vis the other non-state actors. The balanced mode is characterized by balanced power relations among the four considered actors. In the capture mode, tycoons are more powerful than other actors, including the state, although other nonsocial actors have organizational rights. The crony mode has powerful state, subservient tycoons who enjoy high levels of favoritism and low organizational power for the other social actors. Finally, the state-dominance mode has powerful state, low levels of favoritism to tycoons and low organizational power for all social actors. The paper then explores the factors responsible for the emergence of each of these modes by investigating the factors’ effects on state power and favoritism to tycoons. The investigated factors include historical political–economic, geographical, legal and cultural factors. The hypothesized effects of these factors are then tested using a random-effects probit regression model, investigating how the different factors affect the probability of the existence of the studied SBLR modes.

The results support much of the hypothesized relations and place more emphasis on some of the investigated factors. Earlier development is clearly responsible for the emergence of either the balanced or the state-capture SBLR mode. Geographical conditions favorable for development, such as latitude and metal richness, also lead to the emergence of either mode. The communist heritage, and more accurately the post-communist economic and incomplete political liberalism of the transition stage, contributed to the emergence of the state-capture SBLR mode. The British legal system, with the power it provides to non-state actors through the independence of judges and other measures, contributes to the emergence of the balanced SBLR mode. Cultural factors are largely responsible for the emergence of the crony SBLR mode, especially hierarchical and collectivist cultures, as well as ethnic fractionalization. On the other hand, the culture of Confucians has the strongest influence on the emergence of state dominance, while other cultures play a marginal role in its rise, and ethnic fractionalization marginally defuses the ability of the state to dominate without resorting to favoritism. Finally, access to rich natural resources, by enriching the state independently from social actors’ financial resources (e.g. taxation), marginally increases the probability of the emergence of the state-dominance mode.

There is room for path dependency to explain the emergence of different SBLR modes in many countries. Unfortunately, the introduced regression model and any quantitative empirical work would not be able to effectively investigate such a process. Instead, an approach depending on case studies and a deeper investigation of country-specific historical political development is needed to complement the research done here. Conducting such an additional quest would help in reaching a more comprehensive understanding of why different countries have different SBLR modes. This should ultimately help in answering an equally important question: How to reverse engineer the emergence of favorable SBLR modes?

Although this paper did not investigate the economic merits or mischiefs of each of the studied modes, it is plausible to think of the balanced SBLR as the best mode. This is supported not only by the fact that most of the countries of this mode are developed countries but also by the attractiveness of the power dynamics governing this mode—a more balanced power among different SBLR actors. While some factors are almost impossible to replicate, for example, geographical factors, reform could target the factors that could be changed or mitigated. This is true for legal reform, especially for fostering the independence of judges. Culture is often regarded as a sticky institution. However, this is not always true, even though the change happens in the long run. A sort of dynamism should always be considered when referring to culture through time and space. Institutional reform could be instrumental in the long run in this regard. Conducting such reform with the help of such “exogenous” institutions should always consider the match between these institutions and “endogenous” institutions, such as culture. That is to say, the connection between democratization, fostering accountability and curbing favoritism and cultural values leaning toward these principles should be firmly established. Finally, a point of optimism is that—based on the results of this paper—reaching a high state of development could increase the chances of realizing a more balanced SBLR mode in the long run.

This paper represents a novel contribution to a topic that has hardly been addressed in the literature. The methodology that is used identifies different state–society relation modes and focuses on power relations in SBLRs is another important contribution to the present literature in many fields, such as institutional economics, socioeconomics and political economy.

Effective business and investment climate can lead to a higher rate of investment, profits and improved productivity, through the creation of an institutional environment, where the state provides high-quality public goods. This study aims to explore the impact of the business–investment climate on firm performance in a sample of six countries in the Middle East and North Africa (MENA) region and Turkey. Furthermore, we extend our analysis to explore the impact of business–investment climate on the resource misallocation in Egypt and Turkey.

The study used fixed effects models to investigate the relationship between the business and investment climate, expressed by the obstacles in state–business relations- and the firm performance, which is measured by the firm's value-added, the labour productivity and the total factor productivity To reduce the endogeneity coming from possible reverse causality and the perceptions about the business climate, an instrumental variables (IV) approach applying the two-stage least squares (2SLS) method was followed. The empirical analysis relies on data derived from the World Bank Enterprise Surveys.

Based on estimates, the obstacles in business climate may reduce the firm performance measures by 15–40%. These findings indicate the importance of quality in the business climate and how the improvement in its efficiency can have a very considerable positive impact on firms' performance and thus on the overall economic growth of a country.

This is the first study exploring the impact of business–investment climate on various measures of the firm performance and the resource misallocation in a large sample of countries in the MENA region.