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In this paper, the authors empirically and theoretically analyze the scaling and control of talent development to highlight an important part of commercialization in football clubs, especially in the light of a growing transfer market.

Conducting a single case study of a Swedish football club, the authors adapt a view of the club as a “high-intensity” organization (Alvesson and Kärreman, 2004), one that inherently relies on strong identification of employees and the fostering of talent. This view allows us to detail the importance of both socio-ideological and technocratic forms of control involved in the talent development process.

The authors show how socio-ideological and technocratic forms of control were combined to establish the football club as a “talent factory” in the league, as well as the corresponding challenges when scaling talent development activities and how these challenges were handled. In doing so, the authors contribute to the broader accounting literature on talent- and human resource management, as the authors provide an example of how football clubs may commercialize without necessarily violating their fundamental sports values.

Talent management has mainly been studied in terms of increasing player wages and a focus on the cost of talent. As opposed to these perspectives, the authors highlight the revenue potential in developing players in the light of a growing transfer market and the relevance of talent development for the commercialization of football clubs.

Climate change has aroused widespread concern around the world, which is one of the most complex challenges encountered by human beings. The underlying cause of climate change is the increase of carbon emissions. To reduce carbon emissions, the analysis of the factors affecting this type of emission is of practical significance.

This paper identified five factors affecting carbon emissions using the logarithmic mean Divisia index (LMDI) decomposition model (e.g. per capita carbon emissions, industrial structure, energy intensity, energy structure and per capita GDP). Besides, based on the projection pursuit method, this paper obtained the optimal projection directions of five influencing factors in 30 provinces (except for Tibet). Based on the data from 2000 to 2014, the authors predicted the optimal projection directions in the next six years under the Markov transfer matrix.

The results indicated that per capita GDP was the critical factor for reducing carbon emissions. The industrial structure and population intensified carbon emissions. The energy structure had seldom impacted on carbon emissions. The energy intensity obviously inhibited carbon emissions. The best optimal projection direction of each index in the next six years remained stable. Finally, this paper proposed the policy implications.

This paper provides an insight into the current state and the future changes in carbon emissions.

To cope with the severe situation of the global climate, China proposed the “30 60” dual-carbon strategic goal. Based on this background, the purpose of this paper is to investigate scientifically and reasonably the interprovincial pattern of China’s power carbon emission intensity and further explore the causes of differences on this basis.

Considering the principle of “shared but differentiated responsibilities,” this study measures the carbon emissions within the power industry from 1997 to 2019 scientifically, via the panel data of 30 provinces in China. The power carbon emission intensity is chosen as the indicator. Using the Dagum Gini coefficient to explore regional differences and their causes.

The results of this paper show that, first, China’s carbon emission intensity from the power industry overall is significantly different. From the perspective of geospatial distribution, the three regions have unbalanced characteristics. Second, according to the decomposition results of the Gini coefficient, the overall difference in power carbon emission intensity is generally expanding. The geospatial and economic development levels are examined separately. The gaps between the eastern and economically developed regions are the smallest, and the regional differences are the source of the overall disparity.

Further exploring the causes of differences on this basis is crucial for relevant departments to formulate differentiated energy conservation and emission reduction policies. This study provides direction for analyzing the green and low carbon development of China’s power industry.

As an economic indicator of green and low-carbon development, CO₂ intensity of power industry can directly reflect the dependence of economic growth on the high emission of electricity and energy. and further exploring the causes of differences on this basis is crucial for relevant departments to formulate differentiated energy conservation and emission reduction policies.

For a long time, with the rapid economic development, resulting in the unresolved contradiction between low energy efficiency and high carbon emissions. To this end, scientifically and reasonably investigating the interprovincial pattern of China’s power carbon emission intensity, and further exploring the causes of differences on this basis, is crucial for relevant departments to formulate differentiated energy conservation and emission reduction policies.

Third, considering the influence of spatial factors on the convergence of power carbon emission intensity, a variety of different spatial weight matrices are selected. Based on the β-convergence theory from both absolute and conditional perspectives, we dig deeper into the spatial convergence of electricity carbon emission intensity across the country and the three regions.

This paper aims to clarify the relationship between foreign direct investment (FDI) and carbon intensity. This study uses the dynamic panel data model to study and provide fresh evidence for the issue.

This study first uses the dynamic panel data model to consider the endogeneity problem, and applies a system-generalized method of moments estimator to study the effect of FDI on carbon intensity using the panel data of 188 countries during 1990-2013.

The result shows that FDI has a significant negative impact on carbon intensity of the host country. After considering the other factors, including share of fossil fuels, industrial intensity, urbanization level and trade openness, the impact of FDI on carbon intensity is still significantly positive. In addition, FDI also has a significant negative impact on carbon intensity of high-income countries and middle- and low-income countries.

This paper offers two contributions to the literature on the effect of FDI on carbon intensity. From a methodological perspective, this paper is the first to apply a dynamic panel data model to study the effect of FDI on carbon intensity using worldwide panel data. Second, this paper is the first to analyze the effect of FDI on carbon intensity in different countries with different income levels separately.

Trade and environment are essential issues closely related to the development of the national economy and the improvement of people’s livelihood in the new era. The Report to the 19th National Congress of the Communist Party of China (CPC) listed the construction of a strong trading power as an important part of building a modern economic system and pollution prevention and treatment as one of the three key battles to win the decisive victory of building a moderately prosperous society in all respects. However, the relationship between trade and environmental pollution is still very controversial in the existing literature, and there is a paucity of literature on the relationship between trade and environmental pollution based on micro data.

This paper merged China’s Firm-Level Pollution Database with China’s Industrial Enterprise Database and China’s industry tariff rates. Additionally, by virtue of the quasi-natural experiment of China’s accession to the World Trade Organization (WTO), a difference in difference (DID) model was constructed to alleviate the endogeneity issue.

According to the results, the trade barrier decrease (trade liberalization) significantly reduces the intensity of SO₂ emissions, a major pollutant of enterprises, as the intensity of SO₂ emissions decreased 2.16% for each unit decrease of the trade barrier. The analysis of the mechanisms shows that the SO₂ emission intensity of enterprises is mainly due to the decrease of enterprises’ pollution emission rather than the decrease of output, and the decrease of enterprises’ pollution emission is mainly caused by the enterprises’ cleaner production process rather than the end treatment of pollution emission. The decrease of coal use intensity is an important mechanism of the decrease of SO₂ emission intensity caused by the decrease of trade barriers. Among the technical effects of the change of the trade barrier affecting enterprises’ pollution emission, biased technical change rather than neutral technical change dominates.

The findings of this paper imply that expanding openness can enhance China’s social welfare not only through the economic growth mechanisms identified in the classical literature, but also through environmental improvements. This provides useful policy insights for promoting the construction of a strong trading power and winning the battle against pollution in the new era.

The number of patents in China has grown rapidly in recent years. The purpose of this paper is to investigate how patents impact economic development in China.

This paper developed an empirical model by using panel data of 42 China's patent-intensive industries to investigate the economic contribution made by Chinese patent-intensive manufacturing industries.

This paper found that the intensity of valid patents is strongly positively related to economic growth. The intensity of yearly added patents presented an inverse U-shaped and a U-shaped curve with the economy made by China’s patent-intensive industries. The correlativity mainly depended on whether the patent intensity converges near the economic indicators. Meanwhile, from the perspective of input–output efficiency, for China’s patent-intensive industries, R&D institutes were overinvested, followed by R&D intensity and R&D staff.

Investigating patent influence on economic development is quite complex research. Existing studies have mainly focused on patent protection in legal systems, but have not provided a definitive answer to what the real influence is. This study sought to narrow this gap from the patent economy perspective.

The aim of the paper is to identify the determinants of the marketing and managerial knowledge transfer from a foreign subsidiary located in a post-transition country to its headquarters established in a developed country.

The authors combined the critical literature studies and empirical research, where the method of Computer-assisted Telephone Interview (CATI) was applied. The empirical data was gathered from 231 manufacturing foreign subsidiaries established in Poland (as one of the post-transition economy). To test the hypotheses logistic regression was applied.

The knowledge accumulated in the foreign subsidiary, the amount and level of novelty of innovation in the foreign subsidiary and its strategic autonomy is crucial for the occurrence of the reverse knowledge transfer. However, the more powerful the foreign subsidiary is, the less eager it is to transfer marketing and managerial knowledge to the headquarters.

The study is concentrated just on the manufacturing sector in the Polish economy. The results are based on the opinions and perception of managers, but they represent the corporate perspective (not their individual ones).

The study provokes asking the question about the proper level of strategic autonomy of a foreign subsidiary. The implication related to the autonomy is much about the proper strategy for human resources management. The obtained results indicate that the intensity of innovation in a foreign subsidiary “translates” to the outflow of knowledge from a foreign subsidiary to its headquarters. Thus, encourages headquarters to let their subsidiaries innovate still monitoring their power.

FSs are entities more or less embedded in the host markets, thus their strength and sustainable existence is important for their stakeholders, in particular – internal entities such as employees and external entities such as suppliers, and other cooperating organisations and institutions in the host market. The contribution of FSs to the innovation performance and knowledge pool of external partners is determined much by their absorptive capacity. Thus, the results obtained indirectly point to the importance of external agents ability to absorb and exploit the knowledge.

The originality of the paper concerns three issues. Firstly, the previous studies are mainly focused on either developed or emerging markets and as a result, the peculiarity of post-transition economies, like Poland has been neglected. Secondly, the determinants of reverse knowledge transfer are presented from the corporate perspective. Thirdly, authors focus on marketing and management knowledge distributed from a foreign subsidiary to its headquarter.

This study aims to determine how sustainable development (SD) demands (according to the United Nations Economic Commission for Europe’s (UNECE) SD themes from 2005) are connected to the contents of education, research, development and innovation (RDI) in higher education institutions (HEI). Education and the RDI nexus may affect HEI’s capability to handle SD-related wicked problems and enhance their societal impact.

This paper examined SD-oriented curricula contents of two universities (Brazil and Finland) and counted the number of SD-related research outcomes. In addition, conceptual modelling was used to analyse the mechanisms that may be directing HEIs’ SD work in local innovation.

The data showed a convergence deviation in the RDI of SD-related subjects between the two HEIs. There was no correlation between SD-oriented education and RDI-work in either HEI. Education and RDI processes have different UNECE SD themes at the focal point, and the education-research nexus is lacking. This difference indicates that new SD-related knowledge produced through RDI was not effectively used in education. Modelling revealed that the convergence in RDI outcomes arose from the same kind of local business, industry and societal challenges, implementing effective stakeholder pressures into HEIs. The results may indicate that stakeholder SD needs were not directly transferred into the competence qualification of the curriculum.

To the best of the authors’ knowledge, this is the first quantitative study to reveal the independence of universities’ SD-related RDI subjects on educational curricula.

The purpose of this paper is to investigate the academic side of university–firm linkages, reporting the results of research (called the “BR Survey”, a primary database) conducted in Brazil with leaders of research groups that interacted with firms. The authors analysed the answers from 662 research groups (from both universities and research institutes) to investigate whether the intensity of private funds affects the results of the interactions. The main intent is to answer the following question: Is there a difference between funding sources and the type of results achieved by research groups when interacting with firms?

To verify the impact of some variables on the perception of the main results of university–firm interactions, highlighting the impact of funding sources, the authors present a Logit Model defined with binary dependent variables. The null value is categorized as a “scientific result” (new scientific discoveries and research projects; publications, theses and dissertations; human resources’ and students’ education) and the value 1 is classified as an “innovative/technological result” (new products, artefacts and processes; improvement of industrial products and processes; patents, software, design and spin-off firms).

The authors found that the modes of interaction (relationship types) and some knowledge transfer channels, besides the number of interactions with firms, have statistically significant coefficients, so their values present different impacts on the results of the interaction. The results suggest that the Brazilian innovation policy towards a more active and entrepreneurial role of universities is fostering innovative/technological results from university–firm interactions.

The originality of the study lies on the results found that given the fact that private funding sources do not affect the conventional mission of Brazilian universities – teaching and research – university research groups should be even more incentivized to search for private funds to carry out their research. This may be a solution to the public fund scarcity and may help in reducing the historical distance between universities and firms in Brazil.