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The paper used the location entropy index, spatial gini coefficient and barycenter model to analyze the temporal and spatial changes of Chinese animal husbandry industry agglomeration from 2002 to 2021. On this basis, the fixedeffects model was constructed to explore the influencing factors of the animal husbandry industry agglomeration. The results showed that from 2002 to 2021, the agglomeration degree of Chinese animal husbandry industry exhibited a continuous upward trend. The focus of the animal husbandry industry agglomeration had been concentrated in Henan and Sichuan for a long time. The animal husbandry industry gradually gathered from the eastern to the central region. The technology input, industry correlation, economic development level and policy environment all had a positive impact on the animal husbandry industry agglomeration, while the number of labor force had no significant impact on the animal husbandry industry agglomeration. Therefore, the paper puts forward some suggestions to accelerate the clustered development of animal husbandry industry, stimulate the shift of high-qualitanimal husbandry industry elements to the centralregion, and strengthen the policy support for the animal husbandry industry agglomeration, so as to provide a reference for promoting the high-quality development of animal husbandry industry. [ABSTRACT FROM AUTHOR]

Farmers' participation in public affairs is the combined effect of informal and formal institutions. In order to improve the current situation of low willingness of Chinese farmers to participate in living environment improvement, and to enhance the motivation of farmers and the effectiveness of living environment improvement, this paper incorporates the clan network in the informal institution and the perceivable authority of village chiefs in the formal institution into a unified analytical framework, divides the clan network into two dimensions (scale and strength) and explores the influence of the clan network and the perceivable authority of village chiefs on farmers' participation in rural living environment improvement. Finally, an empirical test is conducted using survey data from 683 farming households in the provinces of Henan, Shaanxi and Sichuan. The results show that the strength of the clan network and the perceivable authority of the village chiefs have a significant positive effect on the farmers' participation in rural living environment improvement, while the scale of the clan network does not have a significant effect on farmers' behavior. The perceivable authority of the village chief has a positive moderating effect between the clan network and farmers' participation in rural living environment improvement, while the heterogeneity analysis shows that the positive effect of the clan network on farmers' participation in the rural living environment is reduced for those who have worked outside, far away from the village. It is suggested that the protection of traditional clan relations should be emphasized, and the positive role of clan agents and their influence should be effectively utilized in promoting the improvement of the rural living environment at the grassroots level. Moreover, it is necessary to carry out timely training of professional knowledge and skills for grassroots leaders, propagandize and interpret policies, thus increasing the enthusiasm of farmers to participate in the improvement of the rural living environment. [ABSTRACT FROM AUTHOR]

Copyright of China Population Resources & Environment is the property of Shandong Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article investigates the current status and distribution of the feedstock of biogas engineering in China, evaluates the temperature conditions for anaerobic co-digestion (AcoD), and assesses the biogas production potential of feedstock in AcoD, including six feedstocks, namely, maize straw (M), wheat straw (W), rice straw (R), pig manure (P), cow manure (C), and sheep manure (S). The total amount of M, W, and R was 3.89 × 108, 2.10 × 108, and 1.50 × 108 tons, respectively, and that of P, C, and S was 8.46 × 108, 1.31 × 109, and 4.95 × 108 tons, respectively. However, the spatial distributions and amount of those resources were found to be uneven in China. Heilongjiang has abundant maize straw, and Henan has abundant wheat resources. Sichuan is rich in cow manure, while Inner Mongolia is rich in sheep manure. The analysis of total biogas production (TBP) by mono-digestion and codigestion (using two feedstocks at ratio of 1:9, 3:7, 5:5, 7:3 and 9:1) showed that co-digestion outperforms mono-digestion under 15 and 25 °C. Thus, it is necessary to study anaerobic co-digestion scheme (AcoDS), which will provide a reference for biogas engineering in different regions to promote the biogas yield based on their actual situation. [ABSTRACT FROM AUTHOR]

Conservation tillage plays a crucial role in preventing soil erosion, improving soil quality, and encouraging sustainable agriculture. This study analyzes the effects of conservation tillage on farmers' technical efficiency and its underlying mechanisms, using a sample of 853 households and 1706 land plots from China's Jilin, Sichuan, Jiangsu, and Henan provinces. The results indicate that conservation tillage can enhance technical efficiency, resulting in an average increase of 0.022 units, The study further demonstrates that conservation tillage technology primarily enhances technical efficiency by increasing output and reducing production costs. This study proposes policy recommendations for promoting the use of conservation tillage technology to enhance farmers' technical efficiency. [ABSTRACT FROM AUTHOR]

As an institutional innovation in the market-oriented reform of China's energy sector, the policy effect of energy consumption license transaction (ECPT) is still lack of research. The pilot provinces of energy market-oriented reform are relatively scattered. Therefore, this paper aims to evaluate the spillover effect and regional differences of ECPT, so as to make up for the lack of research on China's market-oriented energy reform. Results show that ECPT has inhibitory effects on energy consumption and energy intensity. In addition, ECPT can reduce energy consumption and energy intensity in neighboring areas. The policy effect of ECPT shows the characteristics of strengthening with the evolution of time. Foreign trade, industrial structure and technological progress are the paths for ECPT policies to promote energy transformation. The implementation effect of ECPT shows significant regional differences, which has a significant role in promoting the energy transformation of Henan and Sichuan. Therefore, the central government must ensure the continuity of energy market-oriented reforms to release long-term policy dividends. Pilot provinces should not only play the role of domestic regional energy-saving cooperation, but also strengthen foreign trade and technological innovation to promote energy transformation. • ECPT has an obvious inhibitory effect on energy consumption and energy intensity. • ECPT has the spillover effect of energy saving on neighboring provinces. • The long-term effects of ECPT are stronger than the short-term effects. • Foreign trade, industrial upgrading and technological progress are the mechanisms. • The effect of ECPT shows significant heterogeneity in different pilot provinces. [ABSTRACT FROM AUTHOR]

In order to quickly evaluate the quality of Tremella fuciformis, the volatile components of T. fuciformis from 4 provinces in China, including Hebei, Henan, Fujian, and Sichuan, were analyzed by electronic nose combined with gas chromatography-mass spectrometry (GC-MS), and the key aroma compounds were determined by relative odor activity value (ROAV). The results showed that the electronic nose combined with the principal component analysis method could distinguish the samples from four regions with good discrimination. At least 117 volatile components were detected in T. fuciformis by GC-MS and a total of 58, 59, 62, and 55 volatile components were identified from Hebei, Henan, Fujian, and Sichuan, respectively, of which there were 18 common components. The volatile components in T. fuciformis were mainly hydrocarbons, followed by aldehydes, acids, and esters, while acetic acid and hexanal were relatively rich in T. fuciformis. Based on the ROAV, 8 key components affecting the aroma of T. fuciformis strongly were found. Among them, hexanal, nonanal, and pentanal were the common components of T. fuciformis, while butyrolactone, 1-octen-3-ol, and 2-carene were the unique key aroma components of T. fuciformis in Hebei Province. Besides, octanal and butyrolactone were the special key components absent in the Sichuan and Henan samples, respectively. [ABSTRACT FROM AUTHOR]

The African swine fever (ASF) has triggered considerable shocks to the pig farming industry, which has become a significant animal disease epidemic. The study explores the effect of epidemic experience on post-outbreak production recovery from resilience and risk perception based on 340 micro-survey data from Sichuan, Henan, and Shandong provinces. Epidemic experience has been shown to impact the degree of post-outbreak production recovery positively, and farmers who have endured epidemics are more likely to recover their production after outbreaks. The mechanistic study indicates that past epidemics in African swine fever shocks can effectively improve farmers' cognitive resilience and management capability, enhance recovery, and reduce risk perception in the aftermath of production recovery. In order to alleviate the endogenous problems caused by selection bias, missing variables, and two-way causality. This paper uses factor analysis to comprehensively measure production recovery capacity and production risk perception, and uses propensity score matching(PSM), instrumental variable method and replacement measurement methods to conduct robustness tests, and find the conclusions are still robust. The empirical analysis shows that the experience of the epidemic will promote the recovery of farmers after the outbreak; the experience of the epidemic will significantly impact the recovery of production after the outbreak for both free-range and professional farmers. [ABSTRACT FROM AUTHOR]

Comprehensively and objectively evaluating the development of poverty-stricken counties is important for poverty alleviation. In this study, we propose a relatively objective and efficient method that utilizes indicators derived from remote sensing images to assess the socioeconomic development of poverty-stricken counties. Four indicators representing the area of developed land, area of forest vegetation cover, area of cultivated land, and average nighttime light intensity were integrated via the entropy method and used to construct a model for evaluation of the socioeconomic development of poverty-stricken counties (ESDPC). Then, 42 impoverished counties in Henan Province and Liangshan Yi Autonomous Prefecture of Sichuan Province in China were selected, and their ESDPC values for 2013, 2015, and 2017 were estimated. The average ESDPC value of the selected poverty-stricken counties increased from 0.29 to 0.34 between 2013 and 2017. The accuracy of this estimate was verified through an assessment based on the comprehensive development index (CDI) model constructed using 10 socioeconomic indices. The correlation coefficient between the ESDPC values and the CDI values was 0.60, and the fitting relationships between the two models and the remotely sensed indicators showed good consistency, indicating the potential for use of these remotely sensed indicators to assess regional socioeconomic development. [ABSTRACT FROM AUTHOR]

Copyright of Mycosystema is the property of Mycosystema Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

• How fertilizer use responds to off-farm employment was quantitatively examined. • The differences between mountainous and plain areas were explored. • An inverted "U" shaped relationship was demonstrated in mountainous area. • Fertilizer use is positively correlated with off-farm employment in plain area. • Policy recommendations for sustainable farmland management were proposed. There is a rising concern that the ongoing wave of off-farm employment will have profound effects on agriculture-based environment problems-measured by the intensity of chemical fertilizer (CF) usage. Yet, our understanding of the regional heterogeneities of this effect remains scant. This research gap is addressed by using panel data of selected cities in Sichuan and Henan provinces in China, which are representative mountainous and plain regions respectively, to empirically examine the impact of off-farm employment on CF use. Our findings indicated that there exists an inverted "U" shaped relationship between off-farm employment and CF use in the mountainous region, whereas CF use is positively correlated with off-farm employment in the plain area. The increased CF inputs, which resulted from the substitution effect and remittance effect, can compensate for the negative effect of labor loss, while land marginalization is the main reason for the decrease in CF consumption at the later stage of urbanization in the mountainous region. Meanwhile, the deagriculturalization of farmers' employment patterns decreases the intensity of CF usage, which resulted from the scale effect produced by land transfer and large-scale management in the plain region. Besides, the evolution pattern of this effect may present a similar trend in these provinces, but the turning point of plain regions would appear later than that of mountainous areas due to the inherently unique physical conditions and socio-ecological contexts. Based on the empirical results of this paper, some policy recommendations are provided. [ABSTRACT FROM AUTHOR]

Household labour migration experiences may have a staggering impact within developing countries, especially in dynamic societies like China, where labour migration is obvious. The present study's objective is to investigate whether household labour migration contributes to the probability of farmers' access to productive agricultural services. The study's empirical setup is comprised of household survey data of 541 farmers in Shaanxi, Henan, and Sichuan provinces. The study proposes a counterfactual model to evaluate the average processing effect of an urban migrant with the help of the endogenous transformation of the Probit model. The results show that labour migration for work directly affects farmers' access to productive agricultural services and indirectly affects farmers' access to productive agricultural services through three channels: labour input, land transfers, and planting structure adjustments. The study further confirms that labour migration for work has a significant heterogeneity in the probability of obtaining productive agricultural services for farmers with or without non-agricultural income. Simultaneously, the labour migration area for work has significant heterogeneity in the probability of farmer households' access to productive agricultural services. The government should extend support towards productive agriculture services. Agricultural demonstration services and on-hand training of migrant labour should be highlighted. [ABSTRACT FROM AUTHOR]