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The paper aims to examine the digital economy's influence on China's regional innovation and development. It focuses on direct effects and spatial spillover across regions, and the mediating role of human capital. This analysis is vital for policy and strategic planning in the digital era.

This study uses panel data from 30 Chinese provinces (2004–2019) and uses the entropy method to quantify the digital economy's development. It investigates its impact on regional innovation using a dynamic spatial Durbin model (SDM) and mediation effect model, assessing direct effects, spatial spillover and human capital's mediating role. Various control variables are included for comprehensive analysis.

Findings show the digital economy significantly boosts regional innovation, acting as a growth driver. However, impacts vary regionally, with the central region gaining more than the eastern and western areas. Spatial spillover effects are mixed, showing negative short-term and positive long-term impacts under different weight matrices. Human capital is crucial for fostering innovation through the digital economy.

The paper offers unique insights into the spatial dynamics of the digital economy's impact on regional innovation in China. It advances understanding of the digital economy's role in regional development using innovative methods like the entropy method and dynamic SDM. Highlighting human capital as a key mediating factor enriches discussions on digital economy strategies for regional innovation.

The 21st century has brought the business model earth-shaking changes, especially since the Corona Virus Disease 2019 (COVID-19) epidemic at the end of 2019. Now, the epidemic normalization is slowing down China's rapid development. However, technological development, like artificial intelligence (AI), is unstoppable and is transforming China's economic growth modes from factor-driven to innovation-driven systems. Therefore, it is necessary to study further the new changes in labor entrepreneurship and innovation business models and their mechanism of action on economic growth.

This work studies how innovative human capital (IHC) uses AI and other scientific and technological (S&T) innovation technologies to promote China's innovation-driven economic growth model transformation from the labor entrepreneurship and innovation perspective.

The research shows that the entrepreneurial innovation ability of IHC can increase marginal return and output multiplier effect. It changes the traditional business model and promotes China's economic growth and innovation development. At the same time, this work analyzes China's inter-provincial panel data through the panel smooth transition regression (PSTR) model. It concludes that there is a nonlinear relationship between IHC and the output of innovative achievements. The main body presents three stages of nonlinear changes: first rising, then slightly declining, and rising so far.

The finding provides a direction for solving the problem of slow economic growth and accelerating the transformation of economic growth mode under epidemic normalization.

The purpose of this paper is to assess both short and long-term influences of public investment on economic growth and test the hypothesis that whether public investment promotes or demotes private investment in Vietnam.

The authors use the approach of autoregressive distributed lag model and Vietnam’s macro data in the period of 1990-2016, to evaluate the short and long-term effects of public investment on economic growth and private investment. The model evaluates the impact of public investment on economic growth and private investment based on the neoclassical theories. The public investment which strongly affects economic growth is also reflected by aggregate supply and demand. Public investment directly impacts aggregate demand as a government expenditure and aggregate supply as a production function (capital factor).

The results from this research indicate that public investment in Vietnam in the past period does affect economic growth in the pattern of an inverted-U shape as of Barro (1990), with positive effects mostly occurring from the second year and negative effects of constraining long-term growth. Meanwhile, investment from the private sector, state-owned enterprises, and FDI has positive effects on short-term economic growth and state-owned capital stock has positive impacts on economic growth in both the short and long run. The estimated influence of public investment on private investment also shows a similar inverted-U shape in which public investment have crowding-in private investment short-term but crowding-out in the long run.

The empirical findings in this study can be used for conducting a more efficient policy in restructuring the state sector investment in Vietnam.

The main contributions in this study are: to evaluate the impacts of public investment on economic growth and private investment, the authors extracted public investment in infrastructure from aggregate investment of state sector (as previous studies used); the authors also uses state-owned capital stock variable including cumulative public investment and state-owned enterprises investment suggesting that this could control for the different orders of integration between the stock and flow variable and improve the experimental characteristics of the equation to a higher degree.

The purpose of this paper is to explore how the processes of (de)industrialization and rural income distribution interact with each other and their implications for economic growth and welfare.

This paper takes a dynamic general-equilibrium and theoretical approach.

The author develops a dynamic general-equilibrium model to analytically characterize how (de) industrialization interacts with rural income distribution, and also explores the implications for aggregate GDP growth, the evolution of rural income distribution as well as welfare. Redistributive policies are shown to sometimes enhance GDP and welfare by boosting the production of the goods with high desirability (or productivity) but constrained by depressed demand due to income inequality, and internalizing the dynamic impact of private production and consumption decisions on future public productivities.

The research suggests that rural income distribution and (de)industrialization are intrinsically related, so policies or institutional distortions on one process would, in general, affect the other. Redistributive policies are shown to sometimes enhance GDP and welfare by enhancing industrialization.

The paper contributes to the literature of industrialization and structural change at large in several aspects. First, a key novel feature of our model is that the Engle’s law is captured by a quasi-linear utility function, which differs from the standard non-homothetic functions in this literature. Second, our paper contributes to the literature of structural change by showing how (de)industrialization works when sectorial productivity changes are endogenous. The paper also sheds light on the determination of rural income distribution and its evolution in the process of structural change and rural-urban migration.

A quarter of a century ago, the second world war ended and Britain's first tottering steps to economic recovery began. Two events of significance to bowler‐hatted servicemen, and of continuing influence on the management scene today, took place.

Examines the use of media scheduling in the field of advertising. Looks at newspaper publishers, in particular, investigating forecasting of advertisement space and revenue; the pricing problem of advertisement rates; and some specific applications of operational research in planning for a newspaper colour supplement. Stresses the use of relatively simple models in this area.