Search

With the transformation of the supply chain from factor driven to investment driven and to innovation driven, supply chain innovation has attracted more and more attention. This paper obtains the Bayesian prior probability of innovation and studies the supply chain innovation path from the perspective of strategy and behavior. The model divides the overall innovation capability of the supply chain into specific node tasks and assets (Capability Set), and the innovation demand of the supply chain is expressed in the form of the conditional probability of market demand. Under the conditions of minimum risk, minimum cost, and rapid market response, it determines who should lead the supply chain innovation first and what type of supply chain innovation should be carried out first. Finally, taking the supply chain of the professional market in Zhejiang Province as an example, this paper verifies the theoretical model of supply chain innovation decision-making. The innovation of the supply chain of Zhejiang's specialized market is decomposed into the capability set of each enterprise node of the supply chain. This paper transforms the group innovation ability of the supply chain in the professional market into the individual innovation ability of a single enterprise node and reveals the starting point and intensity of the demand innovation of products/services in the supply chain. [ABSTRACT FROM AUTHOR]

Accurate height prediction has important reference significance for the development of children and adolescents and the selection of athletes. The current mainstream height prediction methods include the B-P (Bayley–Pinneau) method and the TW2 (Tanner–Whitehouse) method. A large number of documents show that the B-P method and the TW2 method have relatively large deviations in the lifelong height prediction results of Chinese children and adolescents. Based on the data collected by the Chinese Adolescent Students' Physical Fitness and Growth and Development Health Project in Zhejiang's primary and secondary schools, this paper proposes a graph of height growth trends based on bone age. The height map of age has more reference value. Aiming at the feasibility of the height data in the statistical results, the interpolation prediction method is used to verify the data, and the height growth trend graph is drawn through the method of fitting. Validation results with actual data show that the average error of the lifetime height prediction of the height growth trend map proposed in this paper is 2.1 cm, which is 1.4 cm lower than the 3.5 cm error predicted by the B-P method and 0.4 cm lower than the 2.5 cm error predicted by the TW2 method. [ABSTRACT FROM AUTHOR]

The weak consumption of rural residents has become an important factor restricting the healthy development of the Chinese economy. With the continuous development of digital construction in rural areas, its role in the upgrading of rural residents' consumption is becoming more and more important. Based on the mechanism of 164 administrative villages in the pilot area of Zhejiang Province, and using staggered cluster analysis, MLR analysis, mediation effect model, etc., this paper discusses the impact and transmission mechanism of digital villages on rural residents' consumption upgrade. The results show that farmers' wage income, property income, and total income all play a significant positive mediating role in the process of promoting consumption upgrading in digital villages; information literacy is a latent variable in the process of promoting consumption upgrading in digital villages. It also played a significant positive mediating role. The research provides the micromechanism of the digital village affecting the consumption upgrade of rural residents and puts forward to promote the process of infrastructure construction, improve the construction of e-commerce system, pay attention to the differences among residents and other suggestions. [ABSTRACT FROM AUTHOR]

The main strategic direction of promoting rural revitalization is to achieve high-quality rural development, maintain the dominant position of farmers, and promote common prosperity of farmers. In recent years, the sustainable development of economy has raised farmers' awareness of starting their own businesses, and their entrepreneurial enthusiasm has been heating up. Based on the empirical survey data of typical rural areas in the Zhejiang Province and structural equation model analysis technology, this paper makes an empirical analysis of the relationship among network embeddedness, entrepreneurial resources, and entrepreneurial ability. The results show that knowledge resources have a significant negative impact on farmers' inclusive entrepreneurial behavior. The dual embedment of social network and industrial network has a significant positive impact on migrant workers' access to knowledge resources and operational resources needed for entrepreneurship, and the entrepreneurial ability of migrant workers mainly depends on operational resources. Under the background of common prosperity, we should continue to implement the policy of supporting farmers' inclusive entrepreneurship and encouraging industrial and commercial capital to enter rural areas, and at the same time, provide rural areas with agricultural knowledge, agricultural skills, and market guidance to promote employment. [ABSTRACT FROM AUTHOR]