The sorting of domestic waste is the most effective way to alleviate the problem of mass garbage accumulation around the villages of rural China. Farmers are the creators of rural domestic waste as well as the direct beneficiaries of effective waste management. However, few studies have been conducted on the psychological determinants of farmers’ intentions to sort domestic waste. This paper applies planned behavior theory (TPB) and normative activation theory (NAM), to analyze the domestic waste sorting intentions of rural residents in Guanzhong, China. Based on the micro-data of 327 rural households in Guanzhong, structural equation models of the factors influencing farmers’ domestic waste sorting intentions were estimated. The results demonstrate the following. (1) Farmers’ attitudes, perceived behavioral control, and personal norms have significant positive direct impacts on their domestic waste sorting intentions, with personal norms having the greatest direct impact. (2) Subjective norms have no direct impact on farmers’ domestic waste sorting intentions but do have an indirect impact on them through personal norms, behavioral attitudes, and perceived behavior control. This article increases scholarly understanding of the psychosocial determinants of the environmentally friendly behavioral intention to sort domestic waste. The study also provides academic and theoretical support to policy makers in implementing relevant policy recommendations.

After the economy enters a “new normal” era in China, resource-based cities are under pressure in terms of transformation, upgrading and sustainable development. This paper uses the panel data of 33 resource-based cities from 2008 to 2018 to empirically analyze the impact of environmental regulation and innovation compensation on scientific and technological competitiveness. The results show that there is a positive U-shaped relation between environmental regulation and scientific and technological competitiveness. This means that when environmental regulations exceed a certain level, continuing to increase regulations will significantly enhance technological competitiveness, but most samples are still on the left side of the turning point. At the same time, the labor productivity and fiscal capacity of non-agricultural industries in the region may have a strong regulatory effect. In a region with higher labor productivity in non-agricultural industries or stronger local fiscal capacity, environmental regulation is more likely to reflect the attribute of “innovation compensation” and advance scientific and technological competitiveness. At this stage, we should optimize the trans-regional compensation mechanism for resource-rich regions, increase investment in pollution management and ecological protection and impose stricter admission standards on industrial projects. Besides, skilled laborers should be cultivated and innovation and entrepreneurship be supported to realize the green and sustainable development of resource-based cities in the new era.

Shifting from a land-scale operation to a service-scale operation of agricultural production chain outsourcing services (APOS) is crucial to achieving innovation in agricultural-scale operation techniques. Using propensity score matching (PSM) and data from 1027 farm households in Guanzhong Plain, Shaanxi Province, we empirically assessed the impact of APOS on agricultural output level and output risk. First, age, gender, health, education, training, number of outworkers, land tenure, land contiguity, and subsidy satisfaction had a substantial beneficial influence on the involvement of farm families in APOS. Second, involvement in APOS may greatly increase the amount of agricultural production and lower the risk associated with farm families’ agricultural output. Moreover, the participation in outsourcing services for agricultural machinery use and field management significantly increased agricultural output and decreased output risk, but the participation in agricultural machinery use outsourcing services increased yield and reduced risks more significantly.

Migrant workers’ buying houses in cities can not only help to reduce the number of unsold houses but also improve the efficiency of the use of rural residential lands. A framework is constructed to study how individual resource endowment and the compensation policy of quitting rural residential land act on migrant workers’ willingness to buy houses in cities. The paper adopts the logistic regression model with the data collected from 410 migrant workers in Xi’an. The results can be drawn as follows: firstly, migrant workers’ desire for buying houses in cities has a close relationship with their individual resource endowment; secondly, there is a gap between the existing compensation policy and migrant workers’ actual preference for the compensation policies. Thirdly, the existing compensation policy cannot fully exert its impact. As a result, when migrant workers are allowed to choose their most preferred policies in light of their own conditions, both the policy and resource effect will become more remarked. Thus, the design of compensation policies for quitting rural residential land should take full account of migrant workers’ individual resource endowments in order to provide them with selective compensation mechanisms. The conclusion provides a policy reference for cities where the house prices are close to that of Xi’an (11,000 yuan/square m).

Vietnam’s coffee industry, a cornerstone of its agricultural economy, has achieved remarkable growth as the world’s second-largest producer and exporter. In 2023, Vietnam exported approximately 27 million bags of coffee valued at $4.24 billion, with an average price increase of 14.6%. Using International Market Share (IMS), Revealed Comparative Advantage (RCA) indices, and comparative advantage theories, this study analyzes Vietnam’s role within global coffee trade dynamics. However, its global competitiveness remains limited due to low export value, quality shortcomings, and structural inefficiencies. From 2022 to 2024, Vietnam’s RCA significantly increased from 5.8 to 8.7, indicating a substantial improvement in comparative advantage, despite long-standing challenges. Similarly, Indonesia’s RCA surged from 2.1 to 4.5, suggesting shifting dynamics in regional competitiveness. In terms of international market share, Vietnam consistently maintained a high competitiveness level, with a market share ranging from 16% to 22%, second only to Brazil. This study identifies critical constraints in Vietnam’s coffee sector and proposes strategic reforms to enhance value addition, sustainability, and global market positioning. Findings reveal that despite high productivity, the sector is constrained by reliance on low-grade robusta beans, outdated processing technologies, limited investment, and weak marketing. These issues hinder quality improvement and value chain development. The study recommends diversifying into specialty coffee, upgrading processing infrastructure, strengthening marketing strategies, and aligning government policies toward sustainable, high-value production. Insights from Vietnam’s challenges and reform pathways offer valuable lessons for China’s coffee-processing industry and broader agri-export sectors seeking to enhance global competitiveness.