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The uncertainty of consumers' perceived value makes online education enterprises face great challenge in developing the pricing strategy. So the purpose of this paper is to research the pricing strategies of online education products by considering knowledge consumers' characteristics.

Considering consumer matching degree and price comparison, this study establishes the utility functions of consumers in normal sales period and discount selling period. On this basis, the research builds pricing models of the online education enterprise under the strategy of price undertaking and intertemporal pricing strategy. It further discusses the impact of consumer matching degree, consumer price sensitivity and different types of consumers on the product price and profit of online education enterprises, and reveals the optimal pricing strategy of the enterprise.

Consumer matching degree and price sensitivity coefficient have positive effects on product price and enterprise profit, but they have different effects on product demand; there are differences in the perceived value of the three types of consumers, and matching consumers are the optimal consumer group; the intertemporal pricing strategy is better than the strategy of price undertaking only when the price sensitivity coefficient is greater than a critical value.

This study enriches the literature on the pricing model of online education products and owns a practical significance to guide the online enterprise to make marketing strategies to increase profit.

The purpose of this study is to investigate the pricing strategies for knowledge payment products, taking into account the quality level of pirated knowledge products, in the context of platform copyright supervision.

This study abstracts the knowledge payment transaction process and aims to maximize producer's revenue by constructing a pricing model for knowledge payment products. It discusses pricing strategies for knowledge payment products under two scenarios: traditional supervision and blockchain supervision. The analysis explores the impact of pirated knowledge products quality level and blockchain technology on pricing strategies and consumer surplus, while providing threshold conditions for effective strategies.

Deploying blockchain technology in platform operations can significantly reduce costs and increase efficiency. In both scenarios, knowledge producer needs to balance factors such as the quality of pirated knowledge products, the supervision level of platform, and consumer surplus to dynamically adjust pricing strategies in order to maximize his own revenue.

This study enriches the literature on the pricing models of knowledge payment products and has practical significance in guiding knowledge producer to develop effective pricing strategies under copyright supervision.

The purpose of this study is to compare the different pesticides management practices and productions in three apple farms in the Northeastern US and Northern China.

Interviews and surveys were conducted in the three farms between the summer of 2010 and spring of 2011. Production, pesticide and fertilizer usage, and labor costs were calculated for comparison.

The conventional US apple grower manages his farm for maximum production and minimum labor costs. As a result, the farm achieved a high yield of 24.68 kg/dollar, but low health value for the highest amount of pesticide expenditure ($2.43 per 100 kg of apples). The organic apple farm aims at minimizing environmental impact and protecting consumers. Its yield was 14.22 kg/dollar with 15-30 percent greater labor costs. The health value of the apples improved with pesticide expenditure of $1.66 per 100 kg of apples. This farm uses only the least toxic pesticide certified by OMRI. The traditional apple farm in Northern China spent 1,365 hours/ha on bagging to protect consumers, comparing to only 252 hours/ha of total labor spent in the conventional apple farm. Annual production of the Chinese farm was 22,727 kg/ha, which was only 50 percent of the conventional apple production and 71 percent of the organic apple production.

The results reveal great potential for a much better economic and environmental effectiveness in the Chinese apple farm if they redirect labor from bagging to an effort for production and efficient management while still providing consumer protection.