The issue of environmental pollution caused by traditional agricultural production operations is becoming increasingly serious. Farmers are the direct actors of production, and their willingness to green production deserves the greatest attention. Technical training conducted by farmers’ cooperatives worldwide in recent years appears to have changed farmers’ willingness to adopt green production technologies, but there is a lack of empirical testing of the impact mechanisms. Therefore, based on a sample of 1147 members of China’s citrus production cooperatives, we theoretically and empirically explored the impact of this; the mechanism of the effect was analyzed through the endogeneity treatment and robustness test of farmers’ value perception, as well as the instrumental variable method (IV-Oprobit). The results showed that farmers’ overall willingness to adopt green production technologies was low, and increasing the number of training sessions in farmers cooperatives could significantly enhance their willingness. Specifically, the probability of members being “very willing” to adopt technologies increased by 3.2% for each additional training session in cooperatives. Additionally, cooperative training can significantly improve members’ technology applicability and benefit–cost perceptions of green production technologies, thus enhancing their willingness to adopt; both types of value perceptions are important transmission mediators of this effect, and the mediation effects account for 5.98 and 14.53% of the total effect, respectively. Other than that, the results of the heterogeneity analysis showed that the effect of cooperative training on the willingness to adopt them was positively significant regardless of small-, medium- or large-scale members, with the most significant effect on small-scale farmers. This study provides a better understanding of the impact of technical training of cooperatives on farmers’ willingness, contributes to the enrichment of value perception theory, and provides a basis for formulating relevant policies to encourage cooperatives to perform their training function and promote green production in agriculture.

The agricultural ecosystem has dual attributes of greenhouse gas (GHG) emission and absorption, which both influence the net amount of GHG. To have a clearer understanding of the net GHG effect, we linked up the emission and absorption of the agricultural ecosystem, estimated the net emissions of 30 provinces in China from 2007 to 2016, then explored the spatial correlation from global and local perspectives by Moran’s I, and finally tested the convergence of the net emissions by α convergence test, conditional β convergence test and spatial econometric methods. The results were: (1) The average of provincial agricultural net GHG emissions was around 4999.916 × 10⁴ t, showing a fluctuating trend in the 10 years. Meanwhile, the gaps among provinces were gradually widening, as the provinces with high emissions were mainly agglomerated in the middle reaches of the Yangtze River, while those with less emissions mainly sat in the northwest. (2) The net emissions correlated spatially in close provinces. The agglomeration centers were located in the middle reaches of the Yangtze River and the northern coastal region, showing “high–high” and “low–low” agglomeration, respectively. (3) The net emissions did not achieve α convergence or conditional β convergence in the whole country, but the growth rate had a significant positive spillover effect among adjacent provinces, and two factors, the quantity of the labor force and the level of agricultural economy, had a negative impact on the rate. It is suggested that all provinces could strengthen regional cooperation to reduce agricultural net GHG emissions.

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.

As cropland possess dual carbon effects of emitting and sequestering, giving full attention to its net carbon sequestration is an effective option for mitigating global warming. By analyzing the carbon cycle of a cropland use system, we develop an inventory for measuring the net carbon sequestration, covering four carbon sources, i.e., agricultural materials, rice fields, soils, straw burning, with the crop carbon sequestration considered. Different from conventional studies that have focused on quantity, in this study, we define net carbon sequestration performance of cropland use (NCSPC) as the ratio of actual net carbon sequestration to an optimal value per unit of cropland. We estimate the net carbon sequestration of cropland use, from 2000 to 2019, for the study area consisting of the 13 principal grain-producing provinces in China. Then, global-SBM is applied to measure the provincial NCSPC; furthermore, the Theil index and convergence test are employed to portray the spatiotemporal characteristics and regional divergence. The results show the following: (1) The net carbon sequestration was 3.837 t per hectare of cropland in the principal grain-producing area, of which the sequestration and the emission were 6.343 t and 2.506 t, respectively. The share of emissions, from largest to smallest, was methane from rice paddies, agricultural materials, straw burning, and soil nitrous oxide. Specifically, cropland use in Henan exhibited the strongest net carbon sequestration, whereas in Hunan it was the lowest. (2) The average NCSPC was 0.774 in the principal grain-producing area, indicating that 22.6% of the net carbon sequestration per unit of cropland remained to be explored under the corresponding production technology and input combinations. Temporally, the NCSPC had an annual change rate of −0.30%, displaying a slowly declining trend. Spatially, the NCSPC evolved from a scattered distribution to blocky agglomeration, eventually presenting a decreasing pattern from north to south. (3) First, the total Theil index increased, and then decreased, indicating that the regional disparity of the NCSPC expanded early but shrank later. From 2011 to 2019, inter-regional disparity took up more in the total. Over time, both the whole region and the subregions obeyed the σ convergence. Unlike the benign trends observed in Zones I and II, the NCSPC values of Zone III converged to a low level. This study aims to provide a theoretical base for emission mitigation and sequestration promotion for cropland use.