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With the economic development in recent years, the state has paid more and more attention to education, and more and more college graduates have been graduated. The purpose of this paper is to study how to analyze the refinement method of evaluating the innovation and entrepreneurship ability (IEA) of colleges and universities based on the optimal weight model. This paper proposes a sorting refinement method based on the optimal weight model and uses the BP neural network to determine the optimal weight. Weight is a scoring mechanism for comprehensive ranking, that is, a scoring system. The higher the score, the higher the weight, and the higher the ranking of the relative things. The experimental results of this paper show that in 2013, the number of college graduates in China reached 6.09 million, but the number of employed people was only 4.67 million, an increase of 120,000 over the same period. By 2020, the number of college graduates in China has reached 7.27 million, and the number of employed people has been 5.78 million. However, the number of employed persons is always lower than the number of graduates, indicating that employment is difficult. Under this situation, many college graduates choose to start their own businesses, but the success rate of entrepreneurship is also very low, only about 3%. This shows that the IEA of college graduates is not high, so it is necessary to improve the IEA and conduct self-evaluation. [ABSTRACT FROM AUTHOR]

This paper selects 93 high-tech enterprises listed in 2019 in China's A-share market and comprehensively integrates six variables on three levels, namely, internal guarantee, internal incentives, and external institutions, through fuzzy-set qualitative comparative analysis (fsQCA). On this basis, a discussion was conducted about the multiple concurrent factors and various paths stimulating entrepreneurship. The results show that (1) a single factor does not necessarily lead to high entrepreneurship; (2) high entrepreneurship could be stimulated by four paths: driving mechanism with salary incentive as the core and market mechanism as the support, driving mechanism with government intervention and market mechanism as synergistic drivers, driving mechanism with equity and control power as dual drivers under external institutions, and driving mechanism with external institutions and internal incentives as joint drivers; (3) market competition plays an indispensable role in stimulating entrepreneurship, while management capability suppresses entrepreneurship; (4) nonhigh entrepreneurship could be generated by five paths, which are asymmetric relative to the configurations of high entrepreneurship. [ABSTRACT FROM AUTHOR]

Digital finance provides an ideal entrepreneurial environment for returning migrant workers (RMWs). From the perspective of entrepreneurs, many scholars have quantified the factors affecting entrepreneurship, as well as the entrepreneurial environment, theorized the importance, motives, and internal/external impactors of RMW entrepreneurship, and put forward quite a lot of countermeasures. This paper innovatively evaluates how digital finance influences the efficacy of RMW entrepreneurship. Firstly, the authors established an influencing factor analysis model and an RMW entrepreneurship model and explained principles for the structural equation modeling of the influence of digital finance on RMW entrepreneurship efficacy. Next, the traditional partial least squares (PLS) regression was optimized, the optimal initial iteration values (IIVs) were obtained, and the algorithm convergence was achieved. Finally, a multilayer structural equation model (SEM) was constructed to evaluate the influence of digital finance on RMW entrepreneurship efficacy. The proposed algorithm and model were proved valid and feasible through experiments. [ABSTRACT FROM AUTHOR]

Aquaculture has great potential in the Terai region of Nepal due to the suitability of pond resources and government attempts to improve the fisheries sector. The majority of fish farmers in Chitwan belong to indigenous nationalities. Entrepreneurship skills help in uplifting local rural communities but due to the lack of attractiveness and economic production of fish in Chitwan, there is a higher chance of fish enterprise failure. Hence, an immediate need of assessing entrepreneurial behavior was felt and the study was carried out among indigenous fish farmers of Eastern Chitwan. For data collection, a questionnaire survey was conducted among eighty random respondents and a key informant interview was performed with expert farmers and fish scientists using the convergent parallel mixed method. Collected data were analyzed using SPSS version 22 and MS Excel. The entrepreneurial behavioral index (EBI) was calculated for each respondent, and it was assessed with various sociological and production factors. Average EBI was found among respondents. Most of the surveyed entrepreneurs have a low level of innovativeness, farming knowledge, and leadership while a medium level of motivation and decision-making ability. From the t-test, it was found that factors like AKC (Agriculture Knowledge Centre) visit, farming type, and organizational membership are significant but farmers' gender, extension consultation, training, information source, education, and experience are nonsignificant with respondents' entrepreneurship. Farmers who do commercial farming, visit AKC, and are members of social organizations have relatively more entrepreneurial behavioral indexes than other farmers. For the improvement of fish enterprises in the study area, training related to fisheries innovativeness, fish farming knowledge, and leadership is recommended through the collaboration of AKC and social organizations. [ABSTRACT FROM AUTHOR]

In the past ten years, the number of newly added labor forces in China has continued to grow. At the same time, with the increase in the number of university candidates, the number of university employments is also increasing. Due to employment pressure from society and alumni, the government promotes innovation and entrepreneurship and promotes innovative slogans through entrepreneurship. Universities have become the people who are concerned about this slogan. As an important tool for solving large-scale computer problems, scientific computing is increasingly used in various fields of science and engineering. With the development of high-performance computing technology, various parallel computers have appeared and are widely used. This article uses a scientific computing system to conduct research on innovation and entrepreneurship. The entire scientific computing system is a typical three-tier architecture, and the small service program is responsible for analyzing the scientific computing request in the request and generating related calculation expressions. Get the comprehensive evaluation level of innovation and entrepreneurship risk: excellent score is 3.45, good score is 2.56, general score is 1.68, and difference is 0.68. [ABSTRACT FROM AUTHOR]