Human Capital, Education, and Entrepreneurs: Evidence from the Yangtze River Delta

This paper seeks to examine the relationship between education demand and entrepreneurs in the process of enhancing the growth of human capital in China. We develop a theoretical model that incorporates the important roles played by human capital, education and entrepreneurs. Then, we derive an immigration condition under which the demand for education depends on the existence of entrepreneurs. Finally, we test whether this condition holds true in China, using a panel data set from the Yangtze River Delta which is considered a key barometer of Chinese economy. The empirical results reveal a significant positive relationship between entrepreneurs and education demand in the Yangtze River Delta, suggesting that if we can find ways to promote the growth of entrepreneurial endeavors, we could spur the growth of education demand and further drive human capital accumulation in China

Impact of industrial linkages on firm performance in development zones

This article investigates the effect of industrial linkages on firm performance in Chinese development zones, using Jiangsu Province as a case study. An ordered response model based on the dependent variable being ordinal was developed. The empirical results reveal an insignificant relationship between industrial linkages and firm performance. Our interpretation of this finding mainly lies with the global and domestic challenges that have changed the way participating firms operate and organize in the development zones of Jiangsu. When many other economic factors take precedence over industrial linkages in driving superior firm performance, firms feel it less important to get closer to their suppliers or customers, therefore weakening the impact of industrial linkages. Although this article primarily focuses on development zones in Jiangsu Province, the findings and discussion will provide insights for other development zones in China that may be, reviewing their development strategies because most of them have similar development problems.Industrial linkages; Development zones

Entrepreneurship, Innovation and Economic Growth:The Case of Yangtze River Delta in China

This paper firstly discusses why the economic growth in the Yangtze River Delta has been slowed down recently and suggests a need totransform the current input-based economic growth pattern into aninnovation-based one. Next, through our theoretical analysis, we find that the change of current economic growth pattern is just the innovative reallocationof production factors, and the new economic growth driven by innovation is mainly initiated by the transmutation of entrepreneurship. Finally, we test our belief with real-world evidence. It shows that the Delta has formed a mechanism in which entrepreneurship and human capital mutually promote each other. However, the interactive relationship between R&D expenditure and entrepreneurship has not been developed in general. In addition, excessive government interventions will do harm to the growth of entrepreneurs and economic development.entrepreneurship, innovation and economic growth pattern

Fundamental limits in Gaussian channels with feedback: confluence of communication, estimation, and control

The emerging study of integrating information theory and control systems theory has attracted tremendous attention, mainly motivated by the problems of control under communication constraints, feedback information theory, and networked systems. An often overlooked element is the estimation aspect; however, estimation cannot be studied isolatedly in those problems. Therefore, it is natural to investigate systems from the perspective of unifying communication, estimation, and control;This thesis is the first work to advocate such a perspective. To make Matters concrete, we focus on communication systems over Gaussian channels with feedback. For some of these channels, their fundamental limits for communication have been studied using information theoretic methods and control-oriented methods but remain open. In this thesis, we address the problems of characterizing and achieving the fundamental limits for these Gaussian channels with feedback by applying the unifying perspective;We establish a general equivalence among feedback communication, estimation, and feedback stabilization over the same Gaussian channels. As a consequence, we see that the information transmission (communication), information processing (estimation), and information utilization (control), seemingly different and usually separately treated, are in fact three sides of the same entity. We then reveal that the fundamental limitations in feedback communication, estimation, and control coincide: The achievable communication rates in the feedback communication problems can be alternatively given by the decay rates of the Cramer-Rao bounds (CRB) in the associated estimation problems or by the Bode sensitivity integrals in the associated control problems. Utilizing the general equivalence, we design optimal feedback communication schemes based on the celebrated Kalman filtering algorithm; these are the first deterministic, optimal communication schemes for these channels with feedback (except for the degenerated AWGN case). These schemes also extend the Schalkwijk-Kailath (SK) coding scheme and inherit its useful features, such as reduced coding complexity and improved performance. Hence, this thesis demonstrates that the new perspective plays a significant role in gaining new insights and new results in studying Gaussian feedback communication systems. We anticipate that the perspective could be extended to more general problems and helpful in building a theoretically and practically sound paradigm that unifies information, estimation, and control

A Study on Factors Impacting Satisfaction and Continuance Intention of E-Learning Among Undergraduates in Chengdu, China

This study examines the key factors impacting e-learning satisfaction and continuance intention among undergraduates with a major in dance performance in three private universities in Chengdu, China. The conceptual framework demonstrates the interrelationships among confirmation, system quality, service quality, perceived usefulness, satisfaction, information quality, satisfaction, and continuance intention. The researcher used a quantitative survey strategy to distribute questionnaires to a sample of 500 undergraduate students selected from three target universities. Three sampling techniques were employed in this survey, utilizing judgmental, quota and convenience sampling to collect data. The collected data was analyzed using validated factor analysis (CFA) and structural equation modeling (SEM), with model goodness-of-fit, correlation validity, and reliability tests conducted for each component. All exogenous variables were found to significantly impact the endogenous variable of interest, with perceived usefulness exhibiting the strongest on satisfaction. Additionally, satisfaction demonstrated a highly significant influence on continuance intention. In conclusion, system developers and educational institutions should actively collaborate to enhance the quality of learning resources. Besides instructing with self-made teaching materials, the online education system should leverage the advantages of the internet and network technology to develop          e-learning resources effectively