Showing 4 results for Feng
Volume 0, Issue 0 (ARTICLES IN PRESS 2024)
Abstract
Small and mid-sized enterprises (SMEs) have played a significant role in the growth and advancement of the Chinese agriculture sector. However, these enterprises often face challenges in navigating local distribution networks, complying with regulations, and procuring local consumer products, which can hinder the marketing environment and impede economic growth. To address these issues and promote continuous business development, Chinese agriculture enterprises require effective modeling techniques that facilitate transformation to meet evolving requirements. This study proposes a game-theoretic approach, specifically the Mixed Strategy Game-Theoretic Approach (MSGTA), as a decision-making tool for enterprises facing pre-emptive changes. By analyzing oligopoly firm behavior, the MSGTA approach identifies enterprise outcomes, cooperation patterns, and price-fixing strategies, providing decision-making options and incentives within the enterprise structure. The MSGTA approach assists SMEs in the Chinese agriculture market by systematically analyzing product development stages and ensuring the effective adoption of pre-emptive changes. The efficiency of SMEs implementing the MSGTA approach is evaluated by examining statistical relationships between enterprise growth and requirements. By integrating effective modeling techniques, Chinese agriculture SMEs can adapt to changes proactively, enhance their ability to navigate local distribution networks, comply with regulations, and procure local consumer products more effectively, thereby improving the marketing environment and fostering economic growth.
Volume 14, Issue 1 (March & April 2023 (Articles in English & French) 2023)
Abstract
The present paper synthesizes the germane studies on English as a Foreign Language (EFL) learners’ motivation and foreign language anxiety (FLA) and their role in working memory. Earlier investigations have proved that learner motivation accelerates the learning process in working memory. Literature shows that learners prioritize some typical information based on their learning motivation. Nonetheless, specific strategies can be employed in order to augment learner motivation, which per se speeds up cognitive processing. Furthermore, earlier studies indicate a negative relationship between learners’ FLA and working memory. Learners’ FLA limits the attentional control system, which negatively affects learners’ working memory. Furthermore, the study offered some implications and future directions for the individuals like EFL teachers, teacher educators, and foreign language scholars. The postulations can improve their awareness of learner motivation and FLA and their role in working memory.
Volume 16, Issue 7 (Supplementary Issue - 2014)
Abstract
Four Chinese pomegranate (Punica granatum L.) cultivars were analyzed for their individual flavonols and flavones (in fruit peel extracts) using High Performance Liquid Chromatography (HPLC), with changes in flavonols and flavones as occurring during fruit development. The results revealed the presence of kaempferol, quercetin, myricetin, luteolin, and apigenin in all the four cultivars. In addition, the concentrations of flavonols were found out as always higher than those of the flavones in different cultivars and throughout the different fruit developmental phases. Kaempferol was the most prominent flavonol in Hongbaoshi, Lvbaoshi and Shuijingtian, while myricetin the major and dominant flavonol in Moshiliu. The pattern of kaempferol was similar to quercetin in each individual cultivar, but quite differing among the four cultivars. The level of luteolin was higher than that of apigenin in all the cultivars. During test course, similar change patterns for luteolin and apigenin were revealed in each individual cultivar. This is the first report regarding the flavonols and flavones concentration changes in pomegranate peel extracts. The results indicated that the changes in flavonols and flavones were significantly affected by cultivar and its developmental stages. Moshiliu proved to be an excellent pomegranate cultivar with rich flavonol contents. It can be further studied for its potential uses being more fully exploited.
Volume 24, Issue 6 (11-2022)
Abstract
China is the largest producer of cotton crop, followed by the United States of America. China's 52% cotton is produced in Xinjiang Region. The agricultural sector depends on the climate, and it is substantially susceptible to future climate changes. Climate factors directly affect cotton production and, therefore, assessing the influence of these factors on the cotton output is imperative. This study empirically investigated the relationship between climate and non-climate variables on Xinjiang Region's cotton production over the last three decades. To this end, an econometric technique was employed and the "Autoregressive Distributed Lag Model" (ARDL) was used to analyze the long-run and short-run relation between the selected variables. Empirical results revealed that a 1% decrease in average temperature, labor force, and rainfall could decrease cotton production by 0.18, 1.94, and 0.18%, respectively, due to the significant negative relation. However, this study depicted 1% rise in average temperature, technological changes, and the cultivated area will increase cotton production by 0.07, 0.05, and 0.23%, respectively. In conclusion, the regional climate changes significantly affect cotton crop. Although the study analyzed the data from XUAR Region, this model can be applied to all developing countries. This research helps the policymakers and the respective government department to introduce, promote, and subsidize environment-friendly production inputs and make the long-term plan for farmers and stakeholders to educate, spread awareness, and help to adopt new skills to gain sustainable regional cotton productivity.
