Jing Yang

Prof. Dr. Jing Yang


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 February 2020 in Journal of Business Economics and Management
Verified
Journal Article
Open access
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JYJing Yang
Jing Yang
LVLuis G. Vargas
Luis G. Vargas
XJXiang Jin
Xiang Jin
LZLijun Zhou
Lijun Zhou
Quality credit has attracted considerable interest in both academia and business world in recent years in China. This study aims to discuss the development of quality credit evaluation system, and then based on an Analytic Hierarchy Process (AHP) to construct an evaluation system for Internet companies. Firstly, the quality credit evaluation three-level pyramid model for Internet companies has been established, including the willingness of quality credit, the ability of quality credit, and the basis of quality credit. Secondly, priorities of the criteria and sub-criteria are assigned and identified by the AHP with 12 experts those who are representatives from Internet companies, research experts, and government staffs. Finally, several US Internet companies are evaluated by using this evaluation system, and practical suggestions are provided for the future based on data evaluation results. This paper finds that in the criteria of quality credit evaluation system, the most significant indicators are credit records and quality of product, while qualification rate of product supervise, operating legitimacy and quality accident are the most primary indicators in the sub-criteria level.

29 March 2025 in Agriculture
Verified
Journal Article
Open access
PDF file
LLLingyu Li
Lingyu Li
CHChenxia Hu
Chenxia Hu
AWAlan L. Wright
Alan L. Wright
GLGang Lian
Gang Lian
LZLijun Zhou
Lijun Zhou
JYJing Yang
Jing Yang
As a key facilitator of agricultural technology diffusion, the development and implementation of agricultural standards significantly shape future agricultural technology innovation. This study analyzes China’s agricultural economic development from 2004 to 2019. It integrates agricultural standard stocks and patent stocks into a Cobb–Douglas production function. Patents serve as a proxy for technological progress, reflecting innovation capacity, while standards represent the institutionalization and diffusion of technological advancements. The analysis focuses on the average annual growth rates of agricultural capital, labor, patents, and standards to clarify their respective contributions to agricultural development. The results show that capital contributes 19.951%, though constrained by inefficiencies. Labor accounts for 38.779% but shows negative elasticity (−0.403%), reflecting the decline of rural labor and the need for mechanization. Patents contribute the most at 42.021%, though limited by weak technology diffusion. Agricultural standards contribute 5.323%, with their impact restricted by adoption barriers. The findings highlight the growing role of technological innovation in agriculture. Strengthening standardization systems and promoting broader adoption of agricultural standards are key to advancing sustainable agricultural development in China.