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Abstract:Resource-based cities face unique challenges when undergoing urban transitions because their non-renewable resources will eventually be exhausted. In this article, we introduce a new method of evaluating the urban transition performance of resource-based cities from economic, social and eco-environmental perspectives. A total of 19 resource-based cities in Northeast China are studied from 2003 to 2012. The results show that resource-based cities in Jilin and Liaoning provinces performed better than those in Heilongjiang province. Liaoyuan, Songyuan and Baishan were ranked as the top three resource-based cities; and Jixi, Yichun and Heihe were ranked last. Multi-resource and petroleum resource-based cities performed better than coal and forestry resource-based cities. We also analyzed the factors influencing urban transition performance using the method of the geographic detector. We found that capital input, road density and location advantage had the greatest effects on urban transition performance, followed by urban scale, remaining resources and the level of sustainable development; supporting policies and labor input had the smallest effects. Based on these insights, we have formulated several recommendations to facilitate urban transitions in China's resource-based cities.

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This paper develops a conceptual model and an indicator system for measuring economic resilience of resource-based cities based on the theory of evolutionary resilience and the related concepts of persistence, adaptation, and transformation. Nineteen resource-based cities in Northeast China were analyzed using the indicator system. The results showed that Liaoning and Jilin provinces had higher economic resilience than Heilongjiang Province. Panjin, Benxi, and Anshan in Liaoning Province were the top three cities, while Shuangyashan and other coal-based cities in Heilongjiang Province ranked last. Metals-and petroleum-based cities had significantly higher resilience than coal-based cities. The differences in persistence, adaptability, transformation, and resilience among resource-based cities decreased since the introduction of the Northeast Revitalization Strategy in 2003. Forestry-based cities improved the most in terms of resilience, followed by metals-based and multiple-resource cities; however, resilience dropped for coal-based cities, and petroleum-based cities falling the most. The findings illustrate the importance and the way to develop a differentiated approach to improve resilience among resource-based cities.

Sustainable urbanization is not only an important research topic in the field of urbanization, but also the development direction of new-type urbanization. In this paper, we construct an index system to evaluate sustainable urbanization potential with the entropy method. Results show that potential values of sustainable urbanization in most cities are not high. Cities with higher sustainable urbanization potential values are mainly located in the central part of Northeast China. Environmental potential of sustainable urbanization is the main contributor to sustainable urbanization potential in Northeast China. There is no absolute relationship between city size and potential value, large city does not always mean greater potential. Correlation analysis shows that urbanization rate cannot reflect the sustainable urbanization potential of a region. Population urbanization is not the ultimate goal of sustainable urbanization. Unilateral pursue urbanization rate cannot improve the potential of sustainable urbanization. Towards sustainable urbanization, governments in Northeast China should revitalize local economy, pay more attention to the rural areas and develop low-carbon economy or ecological economy. Finally, this paper highlights the importance of choosing more integrated methodology or new models for measuring sustainable urbanization potential in view of the shortcomings of one method.

Under the threat of food insecurity, the Chinese government has created plans and policies to stimulate soybean production. Despite government efforts to stimulate production, based on predictions, planned targets for soybean production are unlikely. Consequently, the predictions raise questions about farmers' intentions to increase soybean cultivating area. In other words, farmers may not be willing to increase soybean. However, few researchers have studied soybean farmers' intention and behavior. With these concerns in mind, this study analyzed the intention and factors that influence farmers' choice of increasing soybean production as well as evaluating the differences in the decision making between commercial and subsistence farmers. This study collected data from 155 randomly selected families in 23 villages in the major soybean area in Heilongjiang Province. Results showed that 42.6% of the farmers expressed that they would expand soybean planting area, while the rest would insist on previous planting habits. The capacity to increase soybean production confronted many constraints. Farmers' age, farm income, land topography, and ease of selling all positively influence farmers' behavior. A significant difference in decision making between subsistence and commercial farmers was found. Subsistence farmers were more affected by land topography, agricultural insurance status, and satisfaction of soybean subsidies, whereas commercial farmers were more affected by farming experience and farm income. As a result, soybean policies should focus on increasing farmers' income, promoting large-scale planting, training young farmers, innovation of agricultural insurance, and strengthening construction of agricultural infrastructure.

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