Does policy cognition affect livestock farmers' investment in manure recycling facilities? Evidence from China

Exploring the Impact of Digital Literacy and Policy Cognition on Rural Residents' Eco-friendly Behaviors

The active participation of rural residents in ecological protection is crucial for preserving the rural environment and advancing ecological civilization. However, existing literature often neglects the impact of rural residents' digital literacy and policy cognition on their adoption of eco-friendly behaviors. In the digital age, rural residents can efficiently access and utilize ecological information, deepen their policy cognition, and consequently, become more actively involved in ecological protection through enhancing their digital literacy. This enhancement is crucial for ensuring the smooth implementation of rural ecological policies at the grassroots level, thereby providing a strong impetus for the further development of rural ecological protection. Therefore, based on survey data from 851 respondents in four counties and cities in Hainan Province, this paper uses the Ordered Probit model to analyze the impact of digital literacy on rural residents' adoption of eco-friendly behaviors, supported by theoretical mechanism analysis. The results indicate that: (1) Digital literacy enhances the adoption of eco-friendly behaviors among rural residents; (2) The mechanism analysis shows that digital literacy promotes such adoption through improved policy cognition. Consequently, the government should actively promote digital technology education and training to improve rural residents' digital literacy. Therefore, targeted digital skills training policies should be developed according to the individual characteristics of rural residents. Additionally, promoting digital literacy to improve policy cognition will likely lead to greater engagement in eco-friendly behaviors.

Sulfur migration mechanism of pig manure in supercritical water: A combined experimental and DFT study

Pig manure (PM) is a high concentration organic waste rich in sulfur, and its biofuel contains various sulfur-containing pollutants, which reduces the safety of the products. Supercritical water (SCW) can dissolve most organic matter, which is a technology worthy of further study. In order to reduce sulfur pollution in the process of PM resource utilization and better control the conversion path of sulfur, it is necessary to explore the migration mechanism of sulfur in the whole PM-SCW gasification process. The experimental results indicated that H2S was the only gaseous product. Only inorganic compounds (S2-, S2O32- and SO42-) were detected in the liquid. Sulfur in the solid mainly included thiol/thioether, thiophene and sulfone. The influence of different reaction conditions (temperature, residence time, PM concentration and catalysts) on sulfur migration was studied in a batch reactor. It was worth noting that the catalysts had a significant effect on H2S absorption. The lowest H2S yield was 3.2 * 10-4 mol/kg and more than 70% of the sulfur was distributed in the liquid under the condition of addition of K2CO3. While, the RTH2110 fixed most of the sulfur of PM (the maximum value reached 50.94%) in the solid. Thus, adding the catalysts flexibly can choose composition of the products. Furthermore, six possible pathways of sulfur migration in the solid were designed and the kinetic parameters were calculated by density functional theory (DFT). The results provided a basis for controlling sulfur in PM. Subsequently, the sulfur migration pathways during PM-SCW gasification process were comprehensively summarized through the combination of experiment and DFT. It provided a method for sulfur treatment in PM, which had guiding significance for the realization of pollution-free treatment of PM.

The effect of perceived value on farmers' livestock manure resource utilization behavior: Evidence from Shandong, China

Introduction

The rapid development of animal husbandry has brought many problems such as ecological environmental pollution and public health damage. The resource utilization of livestock manure is the key way to deal with the above crisis and turn waste into treasure.

Methods

Based on the theory of perceived value, this paper uses multi-group structural equation model to explore the driving mechanism of perceived value on the resource utilization behavior of livestock manure.

Results and discussion

The results showed that: (1) The resource utilization behavior of livestock manure followed the logic of "cognitive level → cognitive trade-off → perceived value → behavioral intention → behavioral performance." Perceived benefit and perceived risk have positive and reverse driving effects on perceived value, respectively. Perceived value has a positive driving effect on behavioral intention. The behavioral intention has a positive driving effect on utilization behavior. (2) Among the observed variables of perceived benefits, ecological benefits have the greatest impact; Among the observed variables of perceived risk, economic risk has the greatest impact. Among the observed variables of perceived value, Significance cognition has the greatest influence. Among the observed variables of behavioral intention, utilization intention has the greatest influence. (3) The perceived value has a differential effect on the utilization behavior of livestock manure resources of different part-time farmers, and the driving effect is more obvious for full-time farmers.

Conclusions

Therefore, it is necessary to improve the resource utilization system of livestock manure, increase the channel for realizing the output of manure resources, strengthen technical assistance and policy subsidies, and implement policies according to local conditions to improve the overall perceived value of farmers.

Will Joining Cooperative Promote Farmers to Replace Chemical Fertilizers with Organic Fertilizers?

This study examines whether cooperatives can assist more than 200 million farmers in China, who are facing tightening resources and environmental constraints, in adopting green farming practices. A framework for counterfactual analysis was established to quantify the impact of farmers joining cooperatives on the reduction in chemical fertilizer consumption and the use of organic fertilizers. The study's conclusions are based on data from 712 farmers in four counties in Shandong and Henan provinces. Joining a cooperative can have a positive impact on farmers' selection of environmentally friendly production methods, which increases the likelihood of farmers reducing chemical fertilizer application by 35.6% and organic fertilizer application by 22.0%. It can also reduce the cost of chemical fertilizer application by an average of $209.2/ha. The extent to which smallholder farmers use chemical and organic fertilizers after joining cooperatives depends on the size of their farming operations and their perception of green production.

Impacts of Incentive and Disincentive Mechanisms for Ensuring Environmentally Friendly Livestock Waste Management

Environmentally friendly waste management (EFWM) is a safer way of waste disposal that can foster a cleaner environment for both farms and their surroundings. It may lessen land, air, and water pollution, as well as moderate ecological footprints, and aid in sustainable agricultural development, which has become one of the major concerns of the modern era. To achieve these outcomes, incentives and control mechanisms initiated by the government may alter farmers' behavior. The study involved a review of relevant literature and the conduct of interviews with 499 pig breeders to evaluate the impacts of government incentives and control mechanisms on fostering the adoption of environmentally friendly waste management practices by farmers. A theoretical framework based on existing studies is proposed, utilizing a structural equation modeling (SEM) approach to analyze the data and illustrate the relationships among incentives and control mechanisms. The results show that: (i) overall the impacts of incentive mechanisms were stronger and more effective than those of control mechanisms. Among them, subsidy policy and discount policy were the most influential for farmers' adoption behavior. However, penalty and disincentive policy also impacted the outcome variables; (ii) a significant relationship was observed among regulatory, disincentive, and subsidy policies and a moderate relationship among penalty, insurance, and discount policies. However, bonus-community service and social critic policies did not show any significant relationship with any other variables. The research findings can assist the Chinese government in gaining a comprehensive understanding of the impacts of two crucial mechanisms and promoting the adoption of environmentally friendly practices by farmers. The government should highlight and strengthen the importance of social obligations and orientation, as well as providing monetary support at the rural level to improve farmers' ability to adapt to environmentally friendly waste management practices.

Closing Greenhouse Gas Emission Gaps of Staple Crops in China

China is facing the dual challenge of achieving food security and agricultural carbon neutrality. Developing spatially explicit crop emission profiles can help inform policy to mitigate agricultural greenhouse gases (GHGs), but previous life-cycle studies were conducted mostly at national and provincial levels. Here, we estimate county-level carbon footprint of China's wheat and maize production based on a nationwide survey and determine the contribution of different strategies to closing regional emission gaps. Results show that crop carbon footprint varies widely between regions, from 0.07 to 3.00 kg CO₂e kg^-1 for wheat and from 0.09 to 2.30 kg CO₂e kg^-1 for maize, with inter-county variation generally much higher than interprovince variation. Hotspots are mainly concentrated in Xinjiang and Gansu provinces, owing to intensive irrigation and high plastic mulch and fertilizer inputs. Closing the regional emission gaps would benefit mostly from increasing crop yields and nitrogen use efficiency, but increasing manure use (e.g., in Northeast, East, and Central China) and energy use efficiency (e.g., in North and Northwest China) can also make important contributions. Our county-level carbon footprint estimates improve upon previous broad-scale results and will be valuable for detailed spatial analysis and the design of localized GHG mitigation strategies in China.

Recognition on characteristics and applicability of typical modes for manure & sewage management in pig farming: A case study in Hebei, China

Scale-up intensive pig farming can increase profitability by economies of large scale, but it also exacerbates environmental pollution caused by the disordered discharge of manure and sewage. Manure & sewage management (MSM) is critical to mitigate environmental pressure and reuse livestock waste. However, the corresponding MSM measures adopted by pig farmers are multitudinous in reality, due to the diversity of MSM methods and heterogeneity of farmers' characteristics and behaviors. Thus, this study empirically categorized five typical MSM modes (i.e., traditional simple mode (TSM), mixed processing mode (MPM), semi-biogas mode (SBM), professional processing with simple utilization mode (PPSUM) and professional processing with full utilization mode (PPFUM)) by clustering analysis, based on the field data from 406 pig farms, and further discriminated farmers' heterogeneous characteristics on corresponding mode adoption. Results revealed that each mode was distinctive. The applicability of the corresponding mode was reflected in the synthesis deliberation, involving farming structure, land, farmers' characteristic and their subjective awareness. Farmers' education level and pro-environmental perception are significantly promoted to adopt technology-intensive MSM modes. Scale upgrading has a positive effect on mechanization adoption and diversified strategies application. Land as an unalterable objective factor restricted the extension of MSM modes based on field returning. Conclusions clarified typical MSM modes and provided references to individual pig farms on appropriate mode selection, further enhancing the efficiency of MSM and contributing to the sustainability of green development of pig farming in China.

The Impact of Training on Beef Cattle Farmers’ Installation of Biogas Digesters

Anaerobic digestion is one of the leading ways to manage livestock manure for energy production and move towards the target of carbon neutrality in the agricultural sector. Based on field survey data from China, a binary probit model and the propensity score matching method are employed to empirically examine the impact of agricultural training on livestock farmers’ installation of biogas digesters to manage livestock manure. The survey results show that beef cattle farmers in our study area are reluctant to install biogas digesters and the actual installation ratio of farmers is much lower than that that is willing to install. On the contrary, the beef cattle farmers are enthusiastic to participate in training (e.g., policy-oriented, technology-oriented, and field-based) related to sustainable farming practices. Regression results suggest that training can effectively promote the installation of biogas digesters, and with the increase of training intensity, the probability to install biogas digesters increases. We further find three other factors that affect farmers’ installation of biogas digesters: the education level of a farmer, which is one of the most important factors positively affecting the installation of biogas digesters; longer farming experience of a farmer, which can significantly promote biogas digester installation; and the farther away a farm is from town/urban centers, which means the more likely it is that the farmer will install biogas digesters. Policy implications are discussed.

Wet wastes to bioenergy and biochar: A critical review with future perspectives

The ever-increasing rise in the global population coupled with rapid urbanization demands considerable consumption of fossil fuel, food, and water. This in turn leads to energy depletion, greenhouse gas emissions and wet wastes generation (including food waste, animal manure, and sewage sludge). Conversion of the wet wastes to bioenergy and biochar is a promising approach to mitigate wastes, emissions and energy depletion, and simultaneously promotes sustainability and circular economy. In this study, various conversion technologies for transformation of wet wastes to bioenergy and biochar, including anaerobic digestion, gasification, incineration, hydrothermal carbonization, hydrothermal liquefaction, slow and fast pyrolysis, are comprehensively reviewed. The technological challenges impeding the widespread adoption of these wet waste conversion technologies are critically examined. Eventually, the study presents insightful recommendations for the technological advancements and wider acceptance of these processes by establishing a hierarchy of factors dictating their performance. These include: i) life-cycle assessment of these conversion technologies with the consideration of reactor design and catalyst utilization from lab to plant level; ii) process intensification by integrating one or more of the wet waste conversion technologies for improved performance and sustainability; and iii) emerging machine learning modeling is a promising strategy to aid the product characterization and optimization of system design for the specific to the bioenergy or biochar application.