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People with minor medical conditions in China tend to prefer healthcare consultation in the emergency department of tertiary hospitals and avoid public sector community health centers (PS-CHC). The reason behind this is the trust deficit in the quality of medical care at PS-CHC. On the other hand, Chinese m-health companies have a surprising number of registered users and daily healthcare queries. However, the lack of physical check-ups causes a lack of trust in the quality of prescribed treatments for m-health users. One such m-health company entered into a joint venture with a local government body. In this joint venture, the doctors from tertiary hospitals can provide healthcare consultation to m-health users at PS-CHC. This study investigates m-health users' intention to use m-health services equipped with PS-CHC, an emerging public-private joint venture in China. We extended the technology acceptance model with government support and trust to predict the adoption of such technology-based public-private joint ventures in a better way. The data were collected from 432 m-health users in Hefei and analyzed using Smart-PLS. All eight direct, but only three mediating relationships were to be found significant. This study has implications for researchers, government healthcare authorities, and m-health service providers. [ABSTRACT FROM AUTHOR]

This study is motivated by the challenges faced by weak economies in addressing their energy deficiency. A gradual and strategic development of a sustainable bioenergy system is proposed as an opportunity to alleviate the connected energy and economy issues through a cleaner energy-mix. The optimization model presented in this study designs a bioenergy supply chain over multiple periods with the objective to minimize the energy gap under budget and biomass availability constraints. The dynamic elements of the model capture the interplay between population size, energy demand, biomass availability, energy consumption, and the Gross Domestic Product. A salient feature of the model is the consideration of an end-to-end bioenergy supply network from biomass reserves to the electricity demand zones. Besides facility setup and operating costs, the model considers biofuel transportation costs and transmission yield losses. The model is extensively analyzed through a case study. Practical insights about budget allocation and system expansion are discussed based on the case study. The analysis highlights that the cost for the optimum development of a bioenergy system can significantly vary over the planning horizon. The optimum setup starts as a highly centralized system and evolves into a largely decentralized system in which powerplants source biofuel and supply power locally. • Strategic development of a bioenergy system can address poor energy-economy nexus. • A multi-period optimization model for bioenergy supply chain designing is presented. • Dynamics of energy demand, consumption, and budget availability are considered. • Decentralized bioenergy systems are efficient. [ABSTRACT FROM AUTHOR]