Factors Affecting Teff (Eragrostis tef) Market Supply in Woliso and Becho Districts of South West Shoa Zone Oromia Regional State, Ethiopia

This study was aimed to analyze teff (Eragrostis tef) market chain in south west Shoa zone with objective of factors affecting teff market supply using two stage ordinary least square approaches. The majority of Ethiopia’s population earns its livelihood primarily from agriculture. Cereals teff is the first in Ethiopia area coverage and production. Teff (Eragrostis tef) is a major staple food crop in Ethiopia. Both primary and secondary data were used in this study. Primary data was collected from 138 sampled farmers and 38 traders from both districts by using semi-structured interview. The OLS (ordinary least square) model results showed that seven explanatory variables significantly affected the quantity of teff supplied to the market supplied by smallholder producers. Age, education level and current market price were negatively and significantly affecting teff market supply. Distance to the nearest market, farm size, perception and quantity produced were positively and significantly influencing marketed supply of teff. Policy implications that were to take place highly recommendation those are relevant to improve teff marketing system in the study area which indicated production and market orientation were set based on the significant variables and raised problems by the stakeholders. To improve market supply of teff in the study area resolving the prevailing production problems deems a necessary condition.

Research on the Digital Transformation of the Whole Industry Chain of Guangdong Supply and Marketing Cooperative

Guangdong Supply and Marketing Cooperative serves as an important institution for the“Three Rural Areas”in the Guangdong-Hong Kong-Macao Greater Bay Area.Its digital transformation and optimization serve as powerful supports for rural revitalization.This paper systematically reviews the main practices and effectiveness of the digital transformation within the Guangdong Supply and Marketing Cooperative.It also analyzes the current development dilemmas faced in the construction of digital supply and marketing.Additionally,it proposes targeted solutions,including building a big data resource base,optimizing the digital supply and marketing cloud platform,developing digital publictype agricultural social service applications,establishing a new model of rural e-commerce,enhancing the traceability management system for agricultural products,and strengthening the construction of the digital human resources system.These proposals aim to further promote the strategy for revitalizing the countryside.

Green Drug Supply Chain Investigation by Time-Market Balance and Risk

The quality of pharmaceutical products plays a crucial role in healthcare systems such as hospitals for better patient services. Drug Supply Chain Management requires approaches to uncertainty and risk consideration. This study is a comprehensive multi-objective mathematical model considering the uncertainties and potential reserves in supply and medicine. The proposed model includes three general objective functions that minimize total production costs, including the costs of transportation, maintenance, breakdown, collection, and disposal of waste. The model also maximizes the quality of potential storage. The results show the proposed method has a high quality to solve the model and leads to the optimization of the results to provide the drug supply chain for the proposed example. We have identified three important risks and uncertainties in addressing drug supply planning: the indefinite duration of the licensing process, the risk of a forced brand change, and indefinite repayment levels that lead to varied demand diversification. The results of comparison with other multi-objective optimization methods in existing articles also show better performance of the proposed model. A significant cost reduction results from implementing our model instead of using the over-storage role to estimate the volume of active drug elements, as seen in today’s industry.

Green Drug Supply Chain Investigation by Time-Market Balance and Risk

The quality of pharmaceutical products plays a crucial role in healthcare systems such as hospitals for better patient services. Drug Supply Chain Management requires approaches to uncertainty and risk consideration. This study is a comprehensive multi-objective mathematical model considering the uncertainties and potential reserves in supply and medicine. The proposed model includes three general objective functions that minimize total production costs, including the costs of transportation, maintenance, breakdown, collection, and disposal of waste. The model also maximizes the quality of potential storage. The results show the proposed method has a high quality to solve the model and leads to the optimization of the results to provide the drug supply chain for the proposed example. We have identified three important risks and uncertainties in addressing drug supply planning: the indefinite duration of the licensing process, the risk of a forced brand change, and indefinite repayment levels that lead to varied demand diversification. The results of comparison with other multi-objective optimization methods in existing articles also show better performance of the proposed model. A significant cost reduction results from implementing our model instead of using the over-storage role to estimate the volume of active drug elements, as seen in today’s industry.

Forecast of natural gas supply and demand in China under the background of “Dual Carbon Targets”

As a kind of clean energy which creates little carbon dioxide, natural gas will play a key role in the process of achieving “Peak Carbon Dioxide Emission” and “Carbon Neutrality”. The Long-range Energy Alternatives Planning System(LEAP) model was improved by using new parameters including comprehensive energy efficiency and terminal effective energy consumption. The Back Propagation(BP) Neural Network–LEAP model was proposed to predict key data such as total primary energy consumption, energy mix, carbon emissions from energy consumption, and natural gas consumption in China. Moreover, natural gas production in China was forecasted by the production composition method. Finally, based on the forecast results of natural gas supply and demand, suggestions were put forward on the development of China’s natural gas industry under the background of “Dual Carbon Targets”. The research results indicate that under the background of carbon peak and carbon neutrality, China’s primary energy consumption will peak(59.4×10^(8)tce) around 2035, carbon emissions from energy consumption will peak(103.4×10^(8)t) by 2025, and natural gas consumption will peak(6100×10^(8)m^(3)) around 2040, of which the largest increase will be contributed by the power sector and industrial sector. China’s peak natural gas production is about(2800–3400)×10^(8)m^(3), including(2100–2300)×10^(8)m^(3)conventional gas(including tight gas),(600–1050)×10^(8)m^(3)shale gas, and(150–220)×10^(8)m^(3)coalbed methane. Under the background of carbon peak and carbon neutrality, the natural gas consumption and production of China will further increase, showing a great potential of the natural gas industry.

Services for Supplying Investigation Reports on China's Markets

On the basis of cooperation with related information department, China’s Foreign Trade (CFT) is to supply market investigation reports to customers:

Services for Supplying Investigation Reports on China's Markets

On the basis of cooperation with related information department, China’s Foreign Trade(CFT)is to supply marketinvestigation reports to customers:

Fresh Produce Supply to Hong Kong Returned to Domestic Market

With the 19th anniversary of the handover of Hong Kong back to China,the fresh produce supplied to Hong Kong also returned to domestic market.Since the focus of e-commerce competition has shifted towards business model and capital input,some people have been exploring new regional markets for fresh produce and seeking improvement in produce quality,standards and