This paper reviews the primary scientific articles applicable to the logistics industry, and specifically those relating to cross-border e-commerce in China. The authors focused on reviewing the articles about the current status of cross-border e-commerce in China and the factors affecting its development, with the aim of highlighting literature gaps. The authors used a systematic literature review (SLR) to identify, gather, and analyze 60 primary papers selected from international peer-reviewed journals and international conference proceedings between 2001 and 2020. Chinese cross-border e-commerce has experienced a trend of steady progress, although several challenges remain. These challenges include, but are not limited to, low custom clearance efficiency, complex monitoring and supervision, tax rebate settlement challenges, payment risks, insufficient talent within the Chinese industry, and the lack of scientific management guidelines. The significant contributions of this paper include critical highlights of the current gaps and future research themes.

Edible insects are often considered a healthier and more sustainable meat substitute and protein source. Many studies have examined factors affecting the consumption behavior towards edible insects among Western consumers. However, little is known about factors influencing consumer behavior towards edible insects in Asian countries even though Asians have a long history of consuming insects. In this study, we surveyed 614 Chinese consumers from Beijing and Nanjing to examine the factors influencing their consumption and purchase behavior of edible insects. We find that insect phobia, feelings of disgust, knowledge level, and social demographic factors such as age, household size, household income and region (Northern or Southern China) are the main factors influencing purchase decisions. In addition, the results indicate that the perceived positive attributes associated with edible insects, the preferences of children in the household, as well as age and knowledge level have positive impacts on consumption frequency. On the other hand, concerns of food safety and the shape of the insects have negative impacts on consumption frequency. Finally, the results suggest that educating consumers to increase knowledge of edible insects increases their probability to purchase insect foods.

Achieving waste classification and environmental protection awareness assists in enhancing the rural ecological environment, improves the quality of the rural residents’ life, and augments the rate of reusing resources within the rural setups. In order to study the factors influencing rural waste classification and environmental protection awareness, we conducted a project among rural residents of Jiangsu, China. We used both the logistic regression model and the ordinary least squares model to achieve the goals of this paper. Similarly, we found that the households’ level of education influenced the rural residents’ decision to classify waste and to protect the environment regarding whether a household consists of a village cadre; the availability of public waste collection facilities; the distance between households and the waste collection points; whether the waste is picked, assorted, and collected locally; and the cost of waste disposal. In light of all these factors, we recommended that the authorities should increase the rural residents’ waste classification and environmental protection awareness. Also, through the local government, the national government should strengthen and sustain rural waste disposal funds. Finally, there should be stringent laws and regulations outlining the role of the rural residents regarding waste classification and environmental protection awareness.

The environmental effects of climate change have significantly decreased agricultural productivity. Agroforestry technologies have been applied as a solution to promote sustainable agricultural systems. This study evaluates the factors influencing the adoption of agroforestry technology in Kenya. A multistage sampling technique was employed to collect data from 239 households in West Pokot County, Kenya. A Probit model and K-means algorithm were used to analyze the factors affecting farmers’ agroforestry technology adoption decisions based on the sampled households’ socio-economic, demographic, and farm characteristics. The study found that the total yield for maize crop, farm size, extension frequency, off-farm income, access to training, access to credit, access to transport facilities, group membership, access to market, gender, distance to nearest trading center, and household education level had significant effects on the adoption of agroforestry technologies. The findings of this study are important in informing policy formulation and implementation that promotes agroforestry technologies adoption.

International students in China are facing difficulties while adapting their Chinese culture, and their life is influenced by the widespread of the Coronavirus Disease 2019 (COVID-19), and caring for their mental health is currently challenging. As a result, our aim is to explore the current mental health care of this minority in China and to provide useful suggestions for future research and institutes. We used the systematic review method, and it was conducted on 11 existing pieces of literature. Our results confirm the unsatisfying psychological situation of international students and the lack of research in this area. We focus on the causes and symptoms of mental problems and explore the effectiveness of methods.

Irrigation projects in sub-Saharan Africa are mostly unsustainable because of lack of maintenance by their users or government planners. By contrast, evidence shows that the smallholder farmers are developing and expanding the irrigated land, using their initiatives. Farmer-led irrigation, a revolutionary agricultural intensification approach, is already in progress with the magnitude to significantly transform the living standards of smallholder farmers. However, a rigorous assessment of its impact on household welfare to ascertain this is lacking. This paper bridges this gap by assessing factors influencing the adoption of this particular approach as well as its effects on the farmers’ per capita net crop income. Our data set consists of 608 smallholder farmers in Southern Tanzania and used propensity score matching to estimate the effects of adoption on the per capita net crop income. Our results indicate that the uptake of farmer-led irrigation practices is influenced by drought experience, water user group membership, farmer organization membership, and government extension, as well as the sex of the household head. Further, there was a positive and significant effect on the adopters’ per capita net crop income, thus encouraging the need to promote farmer-led irrigation as a complement to externally promoted innovations in achieving sustainable food security. This study, therefore, recommends that the government should support the farmers’ initiative by improving roads, removing market barriers, and helping farmers who have not yet taken up the initiative. Also, the government should enact regulations to make sure farmer-led irrigation initiatives do not harm the eco-environment such as protecting domestic water users. Finally, the government should leverage microservices to the farmers such as promoting affordable and appropriate credit facilities. It is necessary to continue pursuing this vein of research to gain information regarding the definite impact of the farmer-led irrigation on household welfare.