Based on endogenous growth theory and technological innovation theory, this paper uses panel data from 30 provinces in China from 2011 to 2022 to investigate the impact of digital village construction on agricultural green total factor productivity (AGTFP). AGTFP was measured by the EBM-GML method, and mediated effects and heterogeneity analysis were used to reveal its conduction pathway. The findings are as follows: (1) AGTFP showed an overall upward trend during the sample period, and most provinces peaked in 2018. Among them, the AGTFP index value of the eastern coastal provinces (such as Tianjin and Beijing) is between 1.059 and 1.129, maintaining the leading position. The western region fluctuates greatly; e.g., the AGTFP value of Qinghai Province fluctuates between 0.915 and 1.047. (2) Digital village construction significantly improves AGTFP by promoting green technology progress (coefficient 0.105, significant at the 5% level) but has no significant impact on technical efficiency. (3) Agricultural informatization (coefficient 0.040, significant at the 5% level) and rural human capital (coefficient 0.115, significant at the 5% level) are important intermediary channels for digital village construction to affect AGTFP. (4) Regional heterogeneity analysis showed that the effect of digital village construction in the eastern region (coefficient 0.151, significant at the 5% level) and the southern provinces (coefficient 0.170, significant at the 1% level) was more significant. The digital village construction in the main producing areas (coefficient 0.113, significant at the 1% level) also significantly promoted AGTFP. Based on the research results, it is suggested that the promotion and application of digital technology be strengthened, the land transfer system improved, an agricultural information platform built, rural human capital improved, and regional differentiated development strategies implemented.

Energy Risk Management and Cost of Economic Production Biodiesel Project

Objective - Human capital is part of driving business. Knowledge and skill are needed in an organization to achieve goals. The research aims to study human capital theory combined with two-factor theories on job satisfaction. Because in 2020, there are many employees had resigned from the company. Methodology/Technique - The simplified methodology is to analyses human capital theory as in quantitative for corporate training structure; budget, manpower, and training program. Moreover, two-factor theories are qualitatively applied for corporate structure; organization policies, salary structure, and achievement. This survey research uses questionnaires with a sample of 109 cases calculated from Taro Yamane's formula. Findings - Data analyses are multicollinearity, heteroscedasticity, and autocorrelation. Findings express that the support in higher education and soft skills training is affecting job satisfaction. Furthermore, in terms of two factors show that all key elements are acted as the "Career Life Factors Chain". Business strategy implication expresses as knowledge management via business training rewards. It will be set under terms and conditions to support higher education to employees who work for five years. Besides, upskill and reskill training will provide to an employee who works for three years. Novelty - Meanwhile, two-factor theories business strategy implication as job evaluation and promotion. Criteria for considering are related to the position, age, year of service, and salary. Therefore, top managers can apply its backward analysis with the restructuring of human capital management. Type of Paper - Empirical Keywords: Human Capital, Job Satisfaction, Upskill – Reskill Management JEL Classification: M10, M19.

Today’s society, economy, and community are involved in terms of information technology usage. Thai university is a national university that has been highly supported by the Thai government. The term “autonomous university” refers to being independently organized under “bureaucratic frameworks.” In other words, being an autonomous university lets the university to re-engineer itself to stay up-to-date for current market demands for labor. Most universities are already autonomous universities, but the system and structures still remain inefficient. Papers are used for records. Thai university has not kept records in soft copies. It is difficult to re-engineer university system because, to implement a new structure, it incurs huge costs. To digitize the university system, technologies, training program, and expertise are required. Moreover, online education and mobile students seem to be far though technology has been fundamentally implemented. Thai university mostly offers traditional classes, which it requires the students to attend with all paper works for the entire period. Active learning that has always been mentioned by government has still not been completely applied. According to these reasons the authors would like to recommend digital instruments, a way to re-engineer university systems, and other factors to support better educational systems.

This study utilizes provincial panel data from China, spanning 2013 to 2022, to empirically analyze the impact of the digital economy on green total factor productivity (GTFP) and to investigate the factors driving this relationship. The results demonstrate that the digital economy substantially enhances GTFP via three primary mechanisms: streamlining industrial structure, fostering green technical innovation, and improving energy efficiency. A further regional examination indicates significant disparities in the magnitude of this influence. The digital economy has the most substantial positive effect on GTFP in the central region, followed by the eastern regions, while the western region exhibits relatively weaker effects. These regional disparities are intricately linked to variances in industrial composition, digital infrastructure, and resource accessibility. The report advocates for the establishment of a regional synergy mechanism to enhance coordinated growth by leveraging the distinct capabilities of eastern, central, and western China. The eastern region may enhance its position as a center for technological innovation, the middle region may concentrate on advancing industrial integration, and the western region may prioritize infrastructural enhancement. The implementation of a 'Trinity' digital empowerment framework may accelerate the integration of the digital economy with green development, providing a sustainable impetus for high-quality economic growth.