A mix-method investigation on acculturative stress among Pakistani students in China.

This article investigates acculturation stress among Pakistani students who are studying in Chinese universities, located in five provinces where international students are concentrated, with a mix-method approach. 203 students among 260 questionnaire recipients responded the online survey. When using the ASSIS (Acculturation Stress Scale for International Students) as instrument, the Principal Component Analysis Method and SPSS 20.0, we found that Pakistani students are under acculturative stress, 68.53%, 10.97% and 9.15% of them perceived discrimination, home sickness and perceived hate, and 5.25%, 3.11% and 2.58% of them fear, culture shock and guilt respectively. The qualitative segment of the study is consisted of 20 Pakistani students studying in 4 universities located in Wuhan city of Hubei capital enquiring through semi-structured interviews. The findings illustrate that Pakistani students in China are expressing their major concerns on culture shock, homesickness, food and language barriers while disconfirm ASSIS findings like perceived discrimination, hate, fear and guilt as factors responsible for acculturative stress. The study suggested that pre-departure orientation lectures about host country's cultural values and campus environment, and on-campus extra-curricular, cultural activities and maximum social interaction with local students can effectively acculturate students in new cultural setting, and can lower their acculturative stress

Sustainable Entrepreneurship in the Agriculture Sector: The Nexus of the Triple Bottom Line Measurement Approach

The field of entrepreneurship is considered essential for the economy, and many researchers around the world have studied it from diverse perspectives. The outcomes of this research are not yet consensual. Today, it is gaining attention and consensus due to the increasing pressure of sustainable development, so there is a need for academic research to examine this field by incorporating sustainability value creation practices and the efforts of current entrepreneurs towards said goal, especially in the case of the agricultural sector. Accordingly, this study aims to address the problem of what drives students to incorporate sustainable agriculture in their entrepreneurial ventures. Moreover, we aim to determine whether the value placed in the triple bottom line affects the intention to establish sustainable businesses. The study is based on five antecedents of the Theory of Planned Behavior (TBP) and was designed to explore the mechanism underlying the intention to promote sustainable entrepreneurship in agriculture. The primary objective was to collect and analyze the data using the partial least square structural equation model (PLS-SEM) to test the determinants. The results revealed that the indicators of a favorable sustainable attitude, supportive subjective norms, control behaviors, adequate opportunity recognitions, and encouraging the triple bottom line had strong influences on the intention of promoting sustainability in entrepreneurship. Besides, the attitudes, subjective norms, opportunity recognition, and sustainability values can also predict students’ significant positive intentions toward sustainable agriculture in entrepreneurship. The research findings contribute to the literature by providing an empirical basis for the formulation of policies to encourage students to start an agribusiness, thereby improving the effectiveness of entrepreneurship education development programs and bridging the gap between sustainable entrepreneurial intentions and actions. Therefore, the insight into the determinants of sustainable entrepreneurship can be an essential step toward designing a practical and durable policy mechanism for the implementation of the triple bottom line when developing entrepreneurial agriculture education programs

Investigating the Impact of Grain Subsidy Policy on Farmers’ Green Production Behavior: Recent Evidence from China

This paper investigates how grain subsidy policy (GSP) in farmland transfer affects farmers’ green production behavior (FGPB) for promoting green agricultural development and improving grain subsidy policy. In this study, we used the data of the China Household Finance Survey (CHFS, 2015) and applied the Probit model to discover the impact and mechanism of the GSP on FGPB in farmland transfer. In addition, we also analyzed the mediating effect of farmers’ credit constraints and the moderating effect of farmers’ risk tolerance. The results show that, firstly, grain subsidy to the actual operator of the farmland generally promotes farmers’ excessive fertilizer application behavior, while there is no significant effect on farmers’ excessive pesticide application behavior. Secondly, the mediating effect of farmers’ credit constraints on the impact of GSP on FGPB is not significant. Thirdly, farmers’ risk tolerance plays a significant moderating effect in the impact of GSP on farmers’ excessive fertilizer application behavior. Finally, GSP mainly promotes excessive fertilizer application behavior among farmers in Eastern China

Effects of Intergenerational Care Behavior on Residents’ Nutrition Intake—Descriptive Statistical Analysis of Rural China Survey 2010–2014

Nutritional status plays an indispensable role in enhancing human capital and preventing the return to poverty. In the context of the three-child policy and the aging society in China, intergenerational care will inevitably become a core component of family support. Thus, this paper evaluates the impacts of intergenerational care behavior on nutritional intake in Chinese rural residents from the perspective of household consumption. The study’s data is from the China Family Panel Studies (CFPS) (2010–2014), and, the fixed effect model and analyses are applied to achieve the study’s objective. The results reveal that rural residents with intergenerational family care behavior have significantly higher food diversity. Thus, Chinese rural residents with intergenerational care consumed 22.4% more food. A possible mechanism is that intergenerational care improves young mothers’ labor participation and income, thus optimizing their dietary structure. Moreover, there was heterogeneity concerning the nutrition intake among rural residents in different geographic and family net income groups. Finally, the robust check is consistent with the baseline regression results. In summary, governments should fully affirm the elderly contribution to families to give full play to the elderly family benefit maximization

Non-Cognitive Skills and Farmers’ Entrepreneurial Performance: Evidence from Chinese Family Panel Studies

Improving the entrepreneurial performance of farmers is conducive to increasing their income, reducing poverty, and securing livelihoods. In the quest for sustainable livelihoods, non-cognitive skills are becoming increasingly significant. Based on data from the 2018 Chinese Family Panel Study, this paper uses the ‘Big Five’ personality traits and a cross-sectional regression model to construct an indicator system to analyze farmers’ non-cognitive skills empirically and determine how these skills affect entrepreneurial performance. The results are as follows: (1) non-cognitive skills that significantly affect farmers’ entrepreneurial performance are, in order of influence, openness, extroversion, conscientiousness, and agreeableness. After considering endogeneity and substitution-explained variables, the above conclusions are still robust. (2) Heterogeneity analysis finds that farmers over 40 and those who start their businesses in cities have higher returns on non-cognitive entrepreneurship. (3) The paper confirms that non-cognitive skills improve farmers’ entrepreneurial performance through human and social capital effects. Therefore, entrepreneurs should consciously improve their non-cognitive skills by cultivating an enterprising and innovative spirit and social skills. The government’s entrepreneurship training for farmers should also focus on setting up courses in non-cognitive skills development to enhance farmers’ entrepreneurial literacy and skills

Off-Farm Employment and Agricultural Credit Fungibility Nexus in Rural Ghana

This study examined the impact of off-farm employment on rural household agriculture credit fungibility (CF) using survey data collected from four regions in Ghana; however, the study paid more attention to agriculture credit received from different sources. By employing the endogenous switching regression (ESR) model, we solved the endogenous issue of off-farm employment. The econometrics model result revealed that off-farm employment negatively influences the household’s probability of practicing agriculture CF. Our results discovered the importance of off-farm employment on agriculture CF and recommended policy implications capable of alleviating agriculture CF

Current Progress and Future Prospects of Agriculture Technology: Gateway to Sustainable Agriculture

The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one. This radical change has shaken existing farming techniques and produced the latest prospects in a series of challenges. This comprehensive review article enlightens the potential of the IoT in the advancement of agriculture and the challenges faced when combining these advanced technologies with conventional agricultural systems. A brief analysis of these advanced technologies with sensors is presented in advanced agricultural applications. Numerous sensors that can be implemented for specific agricultural practices require best management practices (e.g., land preparation, irrigation systems, insect, and disease management). This review includes the integration of all suitable techniques, from sowing to harvesting, packaging, transportation, and advanced technologies available for farmers throughout the cropping system. Besides, this review article highlights the utilization of other tools such as unmanned aerial vehicles (UAVs) for crop monitoring and other beneficiary measures, such as optimizing crop yields. In addition, advanced programs based on the IoT are also discussed. Finally, based on our comprehensive review, we identified advanced prospects regarding the IoT, which are essential tools for sustainable agriculture

Current progress and future prospects of agriculture technology: Gateway to sustainable agriculture

The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one. This radical change has shaken existing farming techniques and produced the latest prospects in a series of challenges. This comprehensive review article en-lightens the potential of the IoT in the advancement of agriculture and the challenges faced when combining these advanced technologies with conventional agricultural systems. A brief analysis of these advanced technologies with sensors is presented in advanced agricultural applications. Numerous sensors that can be implemented for specific agricultural practices require best management practices (e.g., land preparation, irrigation systems, insect, and disease management). This review includes the integration of all suitable techniques, from sowing to harvesting, packaging, transportation, and advanced technologies available for farmers throughout the cropping system. Besides, this review article highlights the utilization of other tools such as unmanned aerial vehicles (UAVs) for crop monitoring and other beneficiary measures, such as optimizing crop yields. In addi-tion, advanced programs based on the IoT are also discussed. Finally, based on our comprehensive review, we identified advanced prospects regarding the IoT, which are essential tools for sustainable agriculture

How Does the Heterogeneity of Family Structure Affect the Area of Land Transferred Out in the Context of Rural Revitalization?—Experience from CHIP 2013

Using the sample data of rural households in China’s income survey (CHIP 2013), this paper divides the family structure into elite and incomplete families and analyzes the impact of family structure’s heterogeneity on land transferred out. The Tobit and Ordinary Least Squares (OLS) models are applied to achieve the study’s objectives. The results show that the elite family has a significant positive impact on the paid land subcontract area, while the incomplete family is not significant. After further refining the elite families, it is found that the influence of the families with the political status of Party members (non-grassroots cadres) on the land transfer area is more significant, while the influence of the families with the status of grassroots cadres on the land transfer area is less significant. Then, the formation mechanism of the difference between these two is discussed, which may be explained by the heterogeneity of their endowment structure, functions, and livelihood attributes. After a series of robustness tests, the results still show that elite families significantly positively impact the area of land transferred out. Finally, based on the differences in land transfer areas and the consequences of different resource endowments, the corresponding countermeasures and suggestions are put forward from the aspects of strengthening grassroots governance, legal awareness, and establishing and improving the protection mechanism of vulnerable rural groups

The Effects of Ecological Public Welfare Jobs on the Usage of Clean Energy by Farmers: Evidence from Tibet Areas—China

In several rural areas of China, ecological public welfare work is an effective way to improve farmers’ social participation. This job does not only increase farmers’ income but also greatly improves their enthusiasm for ecological environment protection. Under the goal of carbon neutrality in peak carbon dioxide (CO2) emissions, it is necessary to explore the impact of ecological public welfare jobs on the usage of Clean Energy (CE) in rural areas. Based on the data of 1100 farmers from Tibet areas in China, this paper applied the Ordered Probit model to explore the impact of ecological public welfare jobs on farmers’ use of CE. The results are as follows: (1) Holding ecological public welfare jobs can raise farmers’ willingness to use CE; (2) Holding ecological public welfare jobs can also promote farmers’ use of CE by enhancing their ecological environment cognition and influencing their social behavior; (3) The impact of ecological public welfare work on CE use has regional and income heterogeneities. Firstly, this effect is smaller in mixed pastoral-farming areas than in agricultural and pastoral areas. Secondly, this effect is more obvious in low-income groups. Our study provided several policies aimed at improving rural and environmental development