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China began connecting farmers directly with supermarkets 10 years ago, when they were at a disadvantage and forced to sell products at low prices, as unstable cooperation among supply chain participants led to inequitable distribution of revenue. Revenue-sharing contracts offer a risk-sharing approach to ensure supply chain coordination and optimize profit for all. Research on short life cycle products with revenue-sharing contracts assume stable prices or investigate the effects of revenue-sharing contracts on supply chain coordination. This study introduced a revenue-sharing contract model into a ‘farmer-supermarket direct-purchase’ supply chain, considering price fluctuation and retail promotional efforts, stochastic market demand, among other factors. Revenue-sharing contracts achieved long-term stability in supply chain coordination, all participants obtained more profits, and the size of revenue-sharing parameter depends on the position and bargaining power of all participants. A case study on Tianhong supermarket and Nanxia farmer cooperative verified these findings, eliciting practical implications for professionals and policymakers.

With the continuous advancement of the Belt and Road Initiative, countries along the Belt and Road are becoming the most important geo-economic space for China’s peaceful rise. This paper constructs a geo-economic model to measure the geo-economic relations between China and countries along the Belt and Road, analyzes the spatial-temporal patterns of geo-economic flow between China and these countries, and discusses the spatial agglomeration of geo-economic flow between China and these countries. The results show that the geo-economic flow between China and the countries along the Belt and Road is increasing and the geo-economic relations between China and these countries are continuing to improve. Trade flow is far greater than investment flow, and China’s geo-economic relations with these countries have mainly relied on trade flow. The spatial differentiation of geo-economic flow between China and countries along the Belt and Road is significant. The development of geo-economic relations is unbalanced, and regional powers play an important role. The geo-economic center of gravity of China and countries along the Belt and Road was moving in the northeastern part of India and it first moved to the northwest and then to the southeast. China’s geo-economic space has obvious core-peripheral structure characteristics, and Southeast Asia is the core area of China’s geo-economic space. China’s geo-economic space presents a northwest-southeast pattern in the direction. There has been a significant, positive spatial autocorrelation in geo-economic flow between China and the countries along the Belt and Road, but the overall spatial agglomeration has been weak. The geo-economic flow agglomerations of China and these countries have mainly occurred in Southeast Asia, and the main agglomeration type has been high–high. The geo-economic activities of China and Southeast Asia had certain spatial spillover effects. To promote the sustainable development of China’s geo-economic relations with the countries along the Belt and Road, China should upgrade investment networks with these countries, optimize geo-economic relations with regional powers, and promote the full development of trade flow, investment flow and other geo-economic element flow.

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Based on the Eviews software and panel data of Guangzhou city, Shenzhen city and Zhuhai city, the study investigated the dynamic relationship between regional tourism and economic growth, using the methods including Cointegration Test, Granger Causality Test, VAR models and Variance Decomposition. The study result shows that there are long-term mutual effects between regional economic growth and regional tourism industry in each area. And in each area, the local GDP, Earning from International Tourism (EIT) and Earning from Domestic Tourism (EDT) have cointegration relationship. Moreover, in one certain area, the contribution rate of different factors to fluctuation of one variable changes over time.