Even though policy coordination is one of the oldest challenges that governments have to confront, as problems evolve and "New Public Management" concepts emerge, it has become even more essential. The current literature on policy coordination among government agencies, however, shows little regarding the way coordination is managed under centralized political systems. This study, based on the science and technology (S&T) policy documents issued by China's central government agencies between 1978 and 2020, provides a quantitative and dynamic analysis of the coordination of policies in China and presents a comprehensive overview of policy coordination paths and processes in centralized political systems. As a result, it provides a way that contributes to the analytical methods available for quantitatively analyzing policy documents. On the other hand, the key findings of the study show that, first, state council-administered ministries have taken the lead in coordinating policy while other types of organizations have collaborated in more subordinate capacities. Second, national themes that are democratic and driven by demand have been the core concern of coordination activities, such as social development, high-tech industrialization, and rural S&T. Third, policy coordination has evolved continuously and has mostly contributed to interpreting macrostrategies and implementing more specific implementation measures.

We offer an extensive analysis of the significance of information within the realm of Gaussian quadratic economies. We build upon the seminal papers of Morris and Shin (2002, 2007) and consider a signal game of incomplete information. Particularly, we question the suitability of partial transparency portrayed by fragmented information in addition to the private signal in terms of welfare effects. We can summarize our findings in two main points. First, fragmented information, in conjunction with a private signal, can reduce the reliance on public signals. Second, a conflicting effect arises between increasing full disclosure and increasing the precision of fragmented (semi-public) information when examining different complex scenarios, involving for example endogenous private information or imperfect correlated signals. For a critical threshold, an optimal communication strategy designed by fragmented information should be implemented whenever that kind of information is acquired at a high precision.

Achieving food security through improved agricultural technology is one of the greatest challenges of our time. Indeed, it is one of the elements explicitly mentioned in the Sustainable Development Goals (SDGs). One factor that can lead to improved production and distribution systems is the availability of data of all kinds on the sector. In this paper we study what is happening in this respect in two Mediterranean olive oil producing countries, and show how available data can facilitate the coordination and communication of technical developments and improve the competitiveness of producers.

The digital economy has emerged as a crucial driving force for promoting China’s green transformation in the new development phase. The “Broadband China” initiative, a key policy aimed at fostering the digital economy, plays a significant role in enhancing green total factor productivity (GTFP). This paper, based on the "Broadband China" policy and panel data from 283 prefecture-level cities from 2009 to 2022, constructs a theoretical model and employs a multi-period difference-in-differences (DID) method to systematically analyze the impact of digital infrastructure development on urban green total factor productivity (GTFP) and its underlying mechanisms. The findings reveal that the “Broadband China” policy has significantly improved GTFP in pilot cities, with stronger effects observed in economically developed regions and large- to medium-sized cities. Mechanism analysis indicates that technological innovation, industrial structure optimization, and energy conservation and emission reduction are the main pathways through which digital infrastructure promotes the improvement of green total factor productivity (GTFP). The regional heterogeneity analysis reveals that policy effects are more significant in eastern regions and large or medium-sized cities, whereas the effects are relatively weaker in central and western regions and smaller cities. Robustness checks further validate the reliability of the research conclusions. Additionally, this study reveals the critical role of digital infrastructure development in enhancing green total factor productivity and promoting high-quality economic development from both theoretical and empirical perspectives. It provides valuable insights for optimizing digital infrastructure investment strategies and formulating regional development policies.

The knowledge-capital model explains outward foreign direct investment (FDI) of a country from its relative abundance of its knowledge assets. Early versions of the knowledge-capital theory model these assets as if they were only the results of knowledge investments by private firms. We extend the theory by a formal model of the public-private interaction in knowledge development. This sheds light on the role of the origin country of multinationals. The paper extracts four testable predictions from the model. We use the inter-country variation in national knowledge-creation systems and FDI performance to test the model using a new dataset; it holds knowledge-creation indicators for about 200 countries over the period 2000-2020. Based on a range of non-parametric tests, we can corroborate that the basic tenet of the knowledge-capital model is correct. Moreover, the results show the important role of public knowledge production for outward FDI.

When human civilization is thriving to the rapid economic and social development, the deteriorating ecological environment has also pressured the society to put environmental protection issues on the agenda future development. Therefore, green innovation is not merely a requirement for a corporate’s long-term development but the basics of sustainable development of human society. As an objective indicator to measure a company's commitment to social responsibility, corporate environmental responsibility has an extremely important impact on a corporate's business philosophy and innovation strategy. However, the existing literature rarely studies between these two variables. This paper collects the data of listed companies from 2010 to 2019 and empirically tests the impact of corporate environmental responsibility on corporate green innovation. The study finds that corporate environmental responsibility can promote green innovation by reducing financing constraints, improving corporate governance and increasing government subsidies and R&D investment, and the result is still significant under a series of robustness checks. The placebo test suggests that the Jiangsu enterprise responsibility construction pilot has facilitated the development of enterprises' green innovation to a great extent. The conclusions enrich existing literature on corporate environmental responsibility and corporate green innovation, providing implications for government policy orientation, social atmosphere guidance and corporate strategic decision-making process.

The development of digital economy is becoming an important path to promote the kinetic energy of China's tax revenue development. Based on the panel data from 2011 to 2018, this paper uses Gini coefficient to analyze the regional differences of China's digital economy, and uses fixed effect model, spatial Durbin model, multi-period double difference model and other empirical methods to examine the tax effects of digital economy development. The results show that the regional disparity is the main reason for the regional disparity of digital economy development in China. The development of digital economy directly increases the tax amount of local digital industry, and at the same time it also radiates and drives the increase of local total tax revenue; The tax effect of digital economy has a negative spatial spillover, showing a "siphon effect" to neighboring areas; Mechanism analysis shows that the development of digital economy mainly promotes the increase of local tax revenue through growth effect.

As governments worldwide grapple with the urgent need to mitigate climate change, understanding the nuanced relationship between fiscal targets and environmental innovation is crucial for crafting effective policy frameworks. Green technological advancement stands as the cornerstone of enterprise competitiveness, driving improvements in both economic prosperity and environmental sustainability. Government fiscal policies play a pivotal role in shaping the landscape of green transformation within enterprises, particularly through the establishment of fiscal revenue targets. Drawing upon data from prefecture-level cities and enterprise records, this study employs empirical analysis utilizing a fixed effects model and instrumental variable method. Our findings underscore the significant impact of fiscal revenue target setting on the trajectory of green technological advancement within enterprises. Specifically, the imposition of fiscal revenue growth targets exerts a dampening effect on the propensity for green technological advancement among enterprises. Notably, this disincentive is particularly pronounced among state-owned enterprises, as well as those with lower and moderate returns on capital, and those characterized by labor-intensive operations. Furthermore, our research delves into the underlying mechanisms of this inhibitory effect. We ascertain that the pressure associated with fiscal revenue growth targets hampers corporate green technological advancement by amplifying tax burdens and exacerbating financing constraints. In light of these findings, our study not only contributes to the theoretical understanding of the interplay between government fiscal policies and corporate innovation but also provides empirical evidence to inform strategies aimed at reconciling the imperative of fiscal revenue growth with the imperative of fostering green technological advancement within enterprises. In the broader context of governmental efforts to address climate change, this research underscores the importance of aligning fiscal policies with environmental objectives.

The digital transformation provides an opportunity for the development of a green and low-carbon economy. This study used panel data collected from 30 Chinese provinces between 2011 and 2018, and assessed the impact of digitization (Dig) on environmental efficiency (EE). Quantile regression is employed to scrutinize the evolution of the marginal effect. From the perspectives of population and institutional factors, this study empirically investigates nonlinear relationships and potential mechanisms using Hansen threshold and mediation models. The findings reveal several key insights. Overall, levels of digitization and environmental efficiency (EE) are increasing with regional dispersion expansion, indicating a “polarization” characteristic. The impact of digitization on EE exhibits noticeable stage and regional heterogeneity. Analysis of population factors reveals that population structure, population size, and human capital trigger a sharp “marginal increase” of positive effects with single thresholds of 0.8155, 7.2284, and 11.0497, respectively. Analysis of institutional factors highlights the significance of fiscal policy quality (tax proportion), education expenditure, and tax system structure as important intermediaries. Finally, this paper presents corresponding policy implications.

With the strengthening of China's economic power and the further implementation of China's open-door policy, China's outward investment has increased year by year. Some international comments are only concerned about the former and there are some public opinions about China's outward investment threatening the host country's environmental quality. This paper takes the carbon emissions of 49 countries along the “Belt and Road” and the acceptance of China's outward FDI as samples, studies the impact of China's outward FDI on the carbon emissions of the relevant countries, and comes to the conclusion that: China's outward FDI is a major factor in China's economic development. It is concluded that China's OFDI increases the total carbon emissions of the countries along the Belt and Road while decreasing the carbon intensity, and the impact is carried out through the three major paths of economic scale, technological level and structural effect.

As the underlying institutional design for enterprise risk management, it is important to study whether and how internal control affects enterprise technological innovation in the current context of increased economic policy uncertainty. Based on the principal-agent theory and information asymmetry theory, this paper explores the impact of internal control on corporate technological innovation using the listed company data from 2009-2019 CSMAR database, and obtains the following research conclusions: (1) the quality of internal control positively affects the corporate technological innovation. (2) The operational risk plays an intermediary role in the relationship between the internal control affecting the corporate technological innovation. (3) The degree of market competition positively moderates the impact of internal control on enterprise technological innovation. (4) Relative to non-stateowned enterprises and non-high-tech enterprises, the quality of internal control of state-owned enterprises and high-tech enterprises has a more significant impact on enterprise technological innovation. This paper enriches the consequences of the study of internal control on the one hand, and on the other hand, it provides a new perspective for improving technological innovation, and it provides certain guidance for further improving the level of corporate governance.

The integration of artificial intelligence (AI) in video game design has transformed traditional workflows, allowing for the generation of text, images, music, videos, and code at unprecedented scales. However, this advancement presents complex challenges for copyright law, traditionally rooted in human originality and authorship. This article examines recent case law that underscores the evolving legal landscape, exploring landmark cases such as Zarya of the Dawn and Andersen v. Stability AI. These cases reveal the tensions between AI-generated outputs and copyright eligibility, especially in the dynamic, multimodal compositions inherent to video games. The review analyzes how various AI tools are employed across the stages of game development—from design documentation to character modeling, soundtrack composition, and cinematic sequences—and the legal uncertainties surrounding each. Emphasis is placed on the role of human input in determining copyright eligibility, proposing that human-AI co-creation models and enhanced metadata standards may offer pathways to reconcile AI-driven innovation with intellectual property protections. As video games exemplify the unique challenges in AI-generated, temporally interactive works, this study calls for a nuanced copyright framework that acknowledges both technological capabilities and the irreplaceable contribution of human creativity. The findings advocate for policy adaptations that align legal protections with the realities of AI-integrated creative processes, ensuring a balanced approach that supports both innovation and creator rights.

With the intensification of the global ecological crisis, promoting green development has become a key path to achieve sustainable development. Based on the panel data of 30 provincial-level administrative regions in China from 2011 to 2022, this paper systematically examines the impact of scientific and technological talent agglomeration on regional green development and its mechanism of action. The study constructs a comprehensive evaluation index system of regional green development level, adopts location entropy to measure the degree of scientific and technological talent concentration, and empirically analyses it by using the fixed effect model, mediation effect model and moderating effect model. The study finds that (1) scientific and technological talent concentration has a significant promotion effect on green development, and this conclusion still holds after various robustness tests and endogeneity treatment; (2) from the perspective of regional heterogeneity, the green development effect of scientific and technological talent concentration is significant in the eastern region, while it is not significant in the central and western regions; from the perspective of period heterogeneity, the promotion effect of scientific and technological talent concentration is more significant after the introduction of ‘The Outline of National Innovation-Driven Development Strategy’; from the perspective of Internet development, the promotion effect is more significant; from the perspective of the heterogeneity of period, the promotion effect is more significant; from the perspective of heterogeneity of the level of Internet development, scientific and technological talent agglomeration shows a stronger promotion effect in regions with a lower level of Internet development; (3) the mechanism test shows that scientific and technological talent agglomeration can promote green development through two paths of enhancing the level of public environmental concern and promoting green technological innovation, and at the same time, the level of marketisation and the government's attention to scientific and technological talent can positively regulate this kind of promotion. Based on the conclusions of the study, this paper puts forward policy suggestions to systematically improve the level of regional scientific and technological talent concentration, and to give full play to the effects of external supervision and technological innovation.

In the context of digital economy, Hebei Province, as an important province in central China, has a huge manufacturing base and potential, and the development of digital economy has driven the transformation and upgrading of manufacturing industry to a certain extent. In order to better play the driving role of digital economy in the transformation and upgrading of manufacturing industry, this paper establishes an intermediary effect model based on three intermediary variables: enterprise resource allocation ability, enterprise cost and enterprise innovation ability, and conducts an empirical study on the panel data of 11 prefecture-level cities in Hebei Province from 2017 to 2022. The mechanism of digital economy driving manufacturing upgrading in Hebei Province was discussed. The results show that: (1) there is a significant positive correlation between the development of digital economy and the transformation and upgrading of manufacturing industry, which indicates that the development of digital economy has a direct driving effect on the transformation and upgrading of manufacturing industry; (2) There is also a positive correlation between the development of digital economy and the resource allocation ability and innovation ability of enterprises, indicating that the development of digital economy can improve the resource allocation ability and innovation ability of enterprises, and is conducive to the stable development of enterprises in the future; (3) Enterprise resource allocation ability and enterprise innovation ability play a significant intermediary role in the relationship between digital economy development and the transformation and upgrading of manufacturing industry, indicating that digital economy can indirectly accelerate the transformation of manufacturing enterprises' R & D achievements by improving enterprises' resource allocation ability and innovation ability, thus improving enterprises' market competitiveness and increasing enterprises' earnings. Drive the transformation and upgrading of the manufacturing industry. Based on this research conclusion, the government should give full play to the role of guidance and support, and introduce relevant policies to help the digital economy drive the transformation and upgrading of manufacturing enterprises. Manufacturing enterprises should seize the tide of the development of the digital economy, use digital technology to improve their resource allocation ability and innovation ability, enhance core competitiveness, and accelerate the transformation and upgrading of enterprises.