Hebei Province Of China Research Articles

The mediating effect of work-life balance on the relationship between work-family conflict and psychological well-being among Chinese working women

The study aims to explore whether work-life balance mediates the impact of work-family conflict and its dimensions on psychological well-being. Using a survey method, data were collected from a sample of 258 working women in Hebei province in China. The analysis was carried out using IBM SPSS and the PROCESS macro in order to test the mediation model. The findings show that work-family conflict has an indirect effect on psychological well-being through work-life balance. In the case of work-to-family conflict, a suppression effect is detected in which the mediator shows an underlying relationship between the work-to-family conflict and psychological well-being. On the other hand, family-to-work conflict is fully moderated by work-life balance. Based on these results, it can be concluded that enhancing the quality of work-life balance may help to reduce the negative impact of work-family conflict on psychological health. The findings of this study can be beneficial to organizations and policy makers to formulate policies that would enhance the mental health and work productivity of women professionals in China.

Comparative transcriptomic analysis of goose astrovirus genotype 1 and 2 in goose embryonic fibroblasts

Gout in goslings has become widespread and caused huge economic losses for the goose industry. Emerging evidence suggests that goose astrovirus (GAstV) is a prominent etiological factor of gout in goslings. At present, 2 genotypes of GAstV have been identified named GAstV-1 and GAstV-2. Here, we isolated the GAstV-1 HBLY strain and GAstV-2 XT1 strain from HeBei province of China. The genome and proliferation characteristics of GAstV-1 and GAstV-2 were analyzed and the results showed that the whole genome identity was 53.8% to 55.8%, especially the nucleotide and amino acids identity of ORF2 and Cap protein was only 49.5% to 50.5% and 19.6% to 22.6 %. Interestingly, GAstV-1 and GAstV-2 with such low homology both can cause gout in goslings. To further explore this phenomenon, the whole genomic expression profile of goose embryonic fibroblasts (GEFs) infected with GAstV-1 was investigated in comparison with GAstV-2. The results revealed that 126 differentially expressed genes (DEGs) were identified between GAstV-1-infected and uninfected cells at 48 h postinfection (hpi), and 262 DEGs between GAstV-2 and uninfected. Among these, there are 15 commonly up-regulated genes and 19 commonly down-regulated genes. Gene ontology (GO) enrichment analysis, Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis, and short time-series expression miner (STEM) analysis suggested that GAstV-1 can induce a higher innate immune response to GEFs, while GAstV-2 has a more pronounced effect on GEFs metabolic pathways. The transcriptomic analysis results significantly enhance our comprehension of the pathogenic mechanisms of GAstV.

Deciphering the differences of bacterial communities between high- and low-productive wheat fields using high-throughput sequencing.

Microbial communities have been demonstrated to be essential for healthy and productive soil ecosystems. However, an understanding of the relationship between soil microbial community and soil productivity levels is remarkably limited. In this study, bulk soil (BS), rhizosphere soil (RS), and root (R) samples from the historical high-productive (H) and low-productive (L) soil types of wheat in Hebei province of China were collected and analyzed by high-throughput sequencing. The study highlighted the richness, diversity, and structure of bacterial communities, along with the correlation networks among different bacterial genera. Significant differences in the bacterial community structure between samples of different soil types were observed. Compared with the low-productive soil type, the bacterial communities of samples from the high-productive soil type possessed high species richness, low species diversity, complex and stable networks, and a higher relative abundance of beneficial microbes, such as Pseudoxanthomonas, unclassified Vicinamibacteraceae, Lysobacter, Massilia, Pseudomonas, and Bacillus. Further analysis indicated that the differences were mainly driven by soil organic matter (SOM), available nitrogen (AN), and electrical conductivity (EC). Overall, the soil bacterial community is an important factor affecting soil health and crop production, which provides a theoretical basis for the targeted regulation of microbes in low-productivity soil types.

Surveillance of avian influenza viruses in Hebei Province of China from 2021 to 2023: Identification of a novel reassortant H3N3

Avian influenza remains a global public health concern for its well-known point mutation and genomic segment reassortment, through which plenty of serum serotypes are generated to escape existing immune protection in animal and human populations. Some occasional cases of human infection of avian influenza viruses (AIVs) since 2020 posed a potential pandemic risk through human-to-human transmission. Both east-west and north-south migratory birds fly through and linger in the Hebei Province of China as a stopover habitat, providing an opportunity for imported AIVs to infect the local poultry and for viral gene reassortment to generate novel stains. In this study, we collected more than 6000 environmental samples (mostly feces) in Hebei Province from 2021 to 2023. Samples were screened using real-time RT-PCR, and virus isolation was performed using the chick embryo culture method. We identified 10 AIV isolates, including a novel reassortant H3N3 isolate. Sequencing analysis revealed these AIVs are highly homologous to those isolated in the Yellow River Basin. Our findings supported that AIVs keep evolving to generate new isolates, necessitating a continuous risk assessment of local avian influenza in wild waterfowl in Hebei, China.

Regional Rainfall Damage Functions to Estimate Direct Economic Losses in Rainstorms: A Case Study of the 2016 Extreme Rainfall Event in Hebei Province of China

Developing a regional damage function to quickly estimate direct economic losses (DELs) caused by heavy rain and floods is crucial for providing scientific supports in effective disaster response and risk reduction. This study investigated the factors that influence regional rainfall-induced damage and developed a calibrated regional rainfall damage function (RDF) using data from the 2016 extreme rainfall event in Hebei Province, China. The analysis revealed that total precipitation, asset value exposure, per capita GDP, and historical geological disaster density at both the township and county levels significantly affect regional rainfall-induced damage. The coefficients of the calibrated RDF indicate that doubling the values of these factors leads to varying increases or decreases in rainfall-induced damage. Furthermore, the study demonstrated a spatial scale dependency in the coefficients of the RDF, with increased elasticity values for asset value exposure and per capita GDP at the county level compared to the township level. The findings emphasize the challenges of applying RDFs across multiple scales and highlight the importance of considering socioeconomic factors in assessing rainfall-induced damage. Despite the limitations and uncertainties of the RDF developed, this study contributes to our understanding of the relationship between physical and socioeconomic factors and rainfall-induced damage. Future research should prioritize enhancing exposure estimation and calibrating RDFs for various types of rainfall-induced disasters to improve model accuracy and performance. The study also acknowledges the variation in RDF performance across different physical environments, especially concerning geological disasters and slope stability.

An Analysis Method of System Coupling and Spatio-Temporal Evolution of County New Urbanization and Logistics Industry

New urbanization in counties and the logistics industry are closely related and are essential in promoting regional economic and social development. There are specific challenges and obstacles to revealing the interaction mechanism and system state measurement between the two. This paper explains the two coupling mechanisms and constructs the evaluation index system. It proposes a new analysis method based on the coupling coordination degree model, the spatio-temporal evolution analysis, and the grey prediction model. The goal is to learn more about and fully realize the coordinated development mechanisms of the two. It then uses the Hebei province of China as an example to empirically analyze its systematic cross-sectional data from 2013 to 2022. Research findings: (1) In Hebei province, the new urbanization in counties and the logistics industry have a systematic coupling relationship. However, the logistics industry’s comprehensive development level is relatively lagging. The two systems have been at a high-level coupling stage for the last decade and maintain a high coupling status. The coupling coordination has shown significant improvement. (2) Although the geographical distribution of the coupling and coordination degree of the new urbanization in counties and logistics industry system has short-term volatility, it is still stable in the long term and presents economic-related spatial characteristics. (3) Over the next five years, the coupling coordination of 11 cities in Hebei province will steadily grow. There will be greater harmonization between the two systems. (4) From the analysis results, the evaluation index system of the coupled system constructed is scientific and reasonable. The analysis method can not only measure the system’s coupling degree, but it can also predict the development trend and analyze the spatial evolution. The technique has novelty and validity, which can be used as a reference for analyzing and making decisions about similar systems.

Epidemiological study of hepatitis E virus infection among students and workers in Hebei Province of China.

Hepatitis E caused by the hepatitis E virus (HEV) is prevalent worldwide. In China, considerable shifts in the epidemiology of hepatitis E have been observed over the last two decades, with ongoing changes in the prevalence of HEV. This study, in conjunction with the health examinations for students and workers, aims to estimate the seroprevalence and assess the risk factors of HEV infection in general population in Hebei province, China. Epidemiological information was collected using a specific questionnaire and blood samples were collected from each participant during the process of health examination. Anti-HEV IgG and IgM in sera were tested using the Wantai ELISA assay kits. Logistic regression modelling was used to identify associated risk factors. The average positive rate of anti-HEV IgG in students (6-25 years) was 3.4%. One (0.2%) student was anti-HEV IgM positive, while also testing positive for IgG. The HEV seroprevalence was not related to students' gender, school, or family residence. In occupational populations, the overall seropositivity rate was 13.3% for anti-HEV IgG and 0.67% for IgM. HEV seropositivity increased significantly with age, ranging from 3.8% to 18.6% in age groups, and differed significantly among four occupation groups: farmers (17.6%), food supply workers (18.0%), other non-farm workers (14.7%) and healthcare workers (5.9%) (p = 0.002). Multivariable logistic analysis confirmed the significant correlations of seroprevalence with age and occupation. The study found a low seroprevalence of HEV in children and young adults in Hebei Province, China. Advanced age correlates with higher seroprevalence in occupational populations, indicating an accumulation of HEV infection over time. Seroprevalence varied significantly among different occupation groups, suggesting the important role of occupational exposure for HEV infection.

진로장벽과 취업 준비행동 간의 경로모형 탐색

Objectives This study is to explore the path model between career barriers and employment preparation behaviors of university students majoring in music in Hebei Province of China. parameters.
 Methods The subjects of the study are 317 university students majoring in music. The program of SPSS 25 is used for reliability, correlation, and confirmatory factor analysis, but LISREL 8.53 is used to verify the path model using the correlation between career barriers and employment preparation behaviors.
 Results In the path model finally adopted between career barriers and employment preparation behaviors for college students majoring in music, social ability barriers and home environment barriers reached the internal and external preparatory behavior, which is the employment preparatory behaviors, through major level barriers and occupational knowledge barriers. In this model, internal preparation behaviors acted as a preceding variable that had a positive effect on external preparation behaviors. Among the barriers of social ability, home environment, relative attitude, major level, and occupational knowledge, it is confirmed that the barriers of social ability and home environment act as predictors of fundamental education on employment preparation behaviors. However, it is confirmed that relative attitude barriers have no effect on employment preparation behaviors. The most influential factor of major level barriers is social ability barriers, followed by home environment barriers. The most influential factors on occupational knowledge barriers are major level barriers, and in the next order, the home environment barriers and social ability barriers are indicated.
 Conclusions In order to increase employment preparation behaviors for university students majoring in music at C University in Hebei Province, the education of internal preparation behaviors should be increased rather than that of external preparatoion behaviors. In order to increase employment preparation behaviors, the preparation behaviors will be increased only by education removing occupational knowledge barriers affected by social ability barriers, home environment barriers, and major level barriers. In addition, educational efforts are required to eliminate social ability barriers and home environment barriers by forming a work-related community and reducing the gap between the rich and the poor of each student in order to increase employment preparation behavior for university students majoring in music.

Nigrospora humicola (Apiosporaceae, Amphisphaeriales), a New Fungus from Soil in China

The fungal genus Nigrospora is known to be a plant pathogen, endophyte, and saprobe, and it is usually isolated from various substrates like soil and air. During the surveys of soil fungi in Hebei Province of China, two isolates of Nigrospora were obtained. A multi-locus phylogeny of combined loci of the 5.8S nuclear ribosomal gene with the two flanking transcribed spacers (ITS), part of the translation elongation factor 1-alpha (tef1), and the beta-tubulin (tub2) loci, in conjunction with morphological characters were used to identify the newly collected isolates. Nigrospora humicola sp. Nov. is described and proposed herein, which differs from its phylogenetically close species N. chinensis and N. globosa by the sequences of ITS, tef1, and tub2.

Multi-Site Air Quality Index Forecasting Based on Spatiotemporal Distribution and PatchTST-Enhanced: Evidence From Hebei Province in China

Multi-Site Air Quality Index Forecasting Based on Spatiotemporal Distribution and PatchTST-Enhanced: Evidence From Hebei Province in China

중국의 대기오염의 사회적비용 추계

With economic development, environmental pollution is emerging as a serious problem. As the level of economic development increases, various contradictions such as air pollution, water pollution, and soil pollution are appearing. Environmental pollution is also emerging as a serious contradiction in China’s economic development. This study estimates the social costs due to air pollution in Beijing municipality, Tianjin municipality, and Hebei Province of China. Based on existing studies, this study derived three categories to estimate social costs due to air pollution. The first is medical expenses caused by air pollution, the second is the expenses to respond to air pollution, and the third is the expenses for decoalization. According to the estimation results, based on the total population, Beijing’s social cost due to air pollution is 1.62% of GDP in 2021, and 1.49% based on the population aged 15 or older. Tianjin’s social cost due to air pollution is 2.58% of GDP in 2021 and 2.36% based on the population aged 15 or older. In the case of Hebei Province, they are 7.96% and 6.81%, respectively. Through this study, we discovered that air pollution in North China is serious and the social costs are significant.

Research on the Influence of Undergraduates’ Perceived Servant Leadership in China: The Effect of Innovative Atmosphere and Innovative Self-Efficacy

This study explores the influence mechanism of perceived servant leadership on innovative behavior among college students in Hebei Province, China, and the chain-mediating role of innovative atmosphere and innovative self-efficacy. This study adopts the questionnaire survey method and the convenience sampling method, and 478 college students are collected. The results show that the perception of servant leadership by college students in Hebei Province in China significantly positively affects innovative behavior; The innovative atmosphere and innovative self-efficacy mediate between college students' perceived servant leadership and innovative behavior.

Industrial Transformation in Hebei Province of China

Industrial transformation and upgrading are the main themes of the economy nowadays. However, in the present development, industrial transformation in many districts has encountered bottlenecks. This paper pointed out the problems of industrial transformation in the Hebei province of China and analyzed in depth the causes of the bottleneck of industrial transformation in Hebei. The main reasons were insufficient marketization, brain drain, and insufficient innovation. Based on each of these causes, Hebei should increase marketization, deal with the relationship between the government and the market, increase the Private-Public-Partnership business model, improve the social security mechanism for talents, invest in the education industry, increase the investment in research and innovation, establish a complete innovation ecosystem, and build an economic environment conducive to breaking the bottleneck of industrial transformation.

Prediction of regional carbon emissions using deep learning and mathematical–statistical model

Detecting carbon emissions is the key to carbon peaking and carbon neutrality goals. Existing research has focused on utilizing data-driven method to study carbon emissions off a single object. This study proposes a regional carbon emissions prediction method. The area objects are divided into dynamic objects for vehicles and static objects for buildings. For the dynamic object, carbon emissions is modeled using the vehicle location provided by the BeiDou satellite navigation system (BDS). For the static object, the neural network R3det (rotation remote sensing target detection) is used to identify the buildings in remote sensing images, and then the trained ARIMA time series model is used to predict the carbon emissions. The model is tested in an industrial park in Tangshan, Hebei Province in China. The result of the regional three-dimensional emission map shows that the method provided a novel and feasible idea for carbon emissions prediction.

Establishment and validation of a prognostic model for gastric cancer patients of Hebei Province in China.

Hebei Province is a high-risk area for gastric cancer in China, and there is currently no survival prediction model for gastric cancer patients in Hebei Province. This study aimed to build the best survival prediction model for gastric cancer patients in Hebei Province. The development dataset included 1,993 hospitalized gastric cancer patients from the Hebei Cancer Registration Project during 2016 and 2017. Three tree-based machine learning methods [survival trees (ST), random survival forests (RSF), and gradient boosting machines (GBM)] and Cox, were used to develop the models by ten-fold cross validation with 200 iterations. California Chinese hospitalized gastric cancer patients were used as external test models. In addition, we compared the multivariable group with the Tumor Node Metastasis (TNM) group. The 3- and 5-year cancer-specific survival (CSS) rates of the development dataset were 57.07% and 44.48%, respectively. For predicting the 3-year CSS rates of gastric cancer patients of multivariable group, the C-indexes in train datasets were 0.75, 0.72, 0.79 and 0.76 for Cox, ST, RSF and GBM. Multivariable group performed better than TNM group. The predictive ability of Cox and RSF were superior to ST and GBM. A nomogram was established to predict the 3- and 5-year CSS rates of gastric cancer patients. The nomogram was useful for facilitating clinicians to predict the survival of gastric cancer patients, and identifying high-risk patients so as to adopt more reasonable treatment plans.

First Report of Pectobacterium parvum Causing Diseases on Potato in Inner Mongolia, China.

Soft rot enterobacterial plant pathogens Pectobacterium spp. and Dickeya spp. have caused devastating blackleg, aerial stem rot, and soft rot of potato tubers (Charkowski 2018). In August 2021, potato plants (cv. Xisen6# or Maiken1) with blackleg or aerial stem rot symptoms were observed in two commercial fields in Xinghe County, Ulanqab City, Inner Mongolia Autonomous Region, China. The plants were wilted, and the crown stem showed gradual degradation and browning. The disease incidence was around 3 to 7% and 20 to 25% in Xinghe Zhangyou Village (33 ha) and Bianjia Village (7 ha), respectively. Pathogens were isolated on crystal violet pectate agar (CVP) plates (Ge et al. 2018). Briefly, symptomatic stem tissues were surface sterilized in 75% ethanol, ground, then serial dilutions were cultured on CVP plates (Handique et al. 2022). The plates were incubated at 28oC for 2 days. Pure colonies of Pectobacterium spp. were obtained from the pits of CVP plates and sequenced for identification using the universal 16S rRNA gene primers 27F/1492R (Monciardini et al. 2002). Results of the comparison of 16S sequences against NCBI GenBank showed 100% sequence identity to P. parvum FN20211T (CP087392.1) type strain for the three colonies designated as ZRIMU1006 (1542/1542 bp), ZRIMU1019 (1542/1542 bp), and ZRIMU1020 (1542/1542 bp). Sequences were deposited under accession numbers OP941529, OP941525, OP941526, respectively. Additionally, six housekeeping gene sequences were used to confirm identification at the species level and were uploaded to GenBank: fusA (OP793177, OP793171, OP793172), gapA (OP793221, OP793216, OP793217), gyrB (OP793265, OP793259, OP793260), infB (OP793310, OP793304, OP793305), pgi (OP793355, OP793349, OP793350), and rplB (OP793400, OP793394, OP793395). Phylogenetic trees constructed using the MEGA X program of concatenated sequences of the housekeeping genes sequences show that the three isolates grouped with P. parvam FN20211T, confirming that they are P. parvam. Pathogenicity tests for stem rot were done by injecting a bacterial suspension into potato seedlings (cv. Favorita) grown from seed tubers. The tubers were planted in perlite potting mix and 3 weeks after emergence, a 100 μl bacterial suspension (105 CFU/ml) or sterile phosphate-buffered solution was injected at the stem base. The bacterial injection experiment was performed twice in a greenhouse with five plants inoculated per bacterial strain. Plants were covered with plastic bags to maintain 100% humidity at 25°C for 2 days. Seven days after inoculation, the inoculated area of the seedlings had rotted or turned black, while the controls remained symptomless. Symptomatic tissues from each strain were processed as above and placed on CVP plates to reisolate the Pectobacterium spp. 16S rRNA sequence analysis confirmed the bacteria to be similar in sequence to the inoculated strains, thus completing Koch's postulates. Soft rot development was performed by adding bacterial suspension (100 μl, 105 CFU/ml) on tuber slices. The infected tubers rotted, while the controls were symptomless. The vacuum infiltration method on tuber that is used to test pathogens for blackleg did not result in the development of blackleg symptoms. Briefly, five tubers were inoculated with the pathogen by vacuum infiltration and planted in potting mix. The plants showed wilting after emergence, but no blackleg symptoms were observed. Recently, multiple new Pectobacterium species including P. parmentieri, P. polaris, and P. punjabense, were identified to cause potato disease in different provinces of China (Cao et al. 2021; Handique et al. 2022). In China, P. parvum was first isolated from Brassica, and in the year 2022, it was reported to cause aerial stem-rot on potato in Hebei province in China (Wang et al. 2022). Inner Mongolia is a major potato-seed-producing province and the incidence of new strains of Pectobacterium in the province causing aerial stem rot and soft rot of tuber might cause a reduction in seed production. This report will draw attention to the management of P. parvum by the seed-producing companies in Inner Mongolia which distributes the seed throughout China.

Detection of Hepatitis E Virus in Rabbits and Rabbit Meat from Slaughterhouses in Hebei Province of China.

Background: Hepatitis E virus (HEV) is a zoonotic pathogen. HEV has been found to be widely prevalent in rabbits. Its isolates are classified into HEV-3, rabbit subgenotype (HEV-3ra). The routes of human infection with HEV-3ra remain unclear; however, foodborne transmission is possible when asymptomatically infected animals enter the food chain. The prevalence of HEV infection in slaughtered rabbits and the presence of HEV in rabbit meat were evaluated in this study. Materials and Methods: In three slaughterhouses in Hebei province, China, samples of rabbit blood were collected during the slaughter process, and muscle, liver, and cavity juice were collected from the rabbit carcasses. Anti-HEV antibody in serum samples was detected using enzyme-linked immunosorbent assay. HEV RNA was tested in all samples by reverse transcription nested PCR (RT-nested PCR). The final amplicons of RT-nested PCR were sequenced and phylogenetically analyzed. Results: Of the 459 serum samples, 50 [10.9%, 95% confidence interval (CI): 8.1-13.7] were positive for anti-HEV antibody, and 17 (3.7%, 95% CI: 2.0-5.4) were positive for HEV RNA. HEV RNA was detected in 7 of 60 liver samples (11.7%, 95% CI: 3.3-20) and 2 cavity juice samples from semi-eviscerated carcasses, but was not detected in any muscle sample from either the eviscerated or semi-eviscerated carcasses. All the detected HEV strains belonged to HEV-3ra and related most closely with the rabbit HEV sequence previously reported in China. Conclusion: A portion of rabbits were in the viremia period of HEV infection at the slaughter age, resulting in the possibility of HEV carriage by rabbit carcass, particularly semi-eviscerated carcass containing liver. These findings suggest a potential risk of HEV transmission from raw rabbit products entering the food chain, whereas the presence of HEV appeared to be lower in the eviscerated carcass than in the semi-eviscerated carcass.

Optimal options of ecological restoration patterns in semi-arid regions: Lessons learned from two-decade ecological restoration projects in Bashang Plateau of China

ABSTRACT In responding to global ecosystem conservation and sustainable social development, numerous ecological restoration projects have been performed in ecologically vulnerable areas around the world, especially in semi-arid areas. Affected by local hydrothermal conditions, whether ecological restoration projects can achieve goals of balanced water-carbon enhancement as well as sustainable development in semi-arid areas is controversial. It is uncertain that to what extent the land use change caused by ecological restoration projects will affect the water-carbon imbalance. This research takes the Bashang Plateau Protection Zone (BPZ), a typical semi-arid area in Hebei Province of China, as a porotype to discover the spatial water-carbon changes and their contributing factors under ecological projects during 2000 to 2020 through root mean square deviation and random forest analysis. Results show: (1) In the past two decades, carbon sequestration in BPZ continued to improve while water conservation decreased significantly. The water-carbon imbalance regions in BPZ increased nearly 6.80 folds, from 338.60 km2 to 2642.38 km2. (2) Precipitation and temperature exerted the most significant impact on the formation of water-carbon imbalance regions, whereas the contribution of land use change could reach 40%, demonstrating that human activities were also strongly responsible for water-carbon imbalance. (3) Ecological restoration pattern of limiting afforestation and agricultural land expansion with priority restoration of grassland is beneficial to achieving water-carbon balance and sustainable goals of ecological restoration in semi-arid regions.

A hybrid coal prediction model based on grey Markov optimized by GWO – A case study of Hebei province in China

Accurate prediction of coal consumption is crucial to the structural adjustment and high-quality development of the coal industry, and provides an effective basis for the government to formulate energy strategies. To enhance the prediction accuracy, a hybrid prediction model combining grey wolf optimization algorithm and grey Markov model (GWO_Markov_DNGM) is proposed in this study, which introduces the idea of Markov interval division in order to make up the defect of obtaining interval by experience in the past. In this research, coal consumption in Hebei Province from 2001 to 2020 is used as an example to verify the accuracy of the model and the results show that the proposed model has higher accuracy than the comparison models, including ARIMA, GM (1, 1), DGM (1, 1), DNGM (1, 1) and the grey Markov model with equidistant division of state interval. In addition, this study also discusses the influence of numbers of state intervals on the prediction accuracy of the proposed model, which further illustrates the high prediction accuracy of the proposed hybrid model. Finally, the proposed model is employed to predict the coal consumption of Hebei Province under three scenarios from 2021 to 2025, and several suggestions are put forward.

Factors Influencing Member Satisfaction With Cooperation in an Agro-Industrialized Union

As a new form of agricultural organization, agro-industrialized unions (AIUs) have shown strong effectiveness. Based on data from Hebei Province in China, the triple-hurdle model was used to analyze the impact of the governance structure and perceived interests on satisfaction from three stages. The main findings are: (1) Satisfaction with the AIU was affected by the governance structure and perceived interests. The former significantly impacted the final satisfaction, whereas the latter had significantly positive effects in all three stages. (2) Among the perceived interest factors, operating ability, interest sharing, and risk defense influenced attitude to whether performance had improved. (3) Attitude toward satisfaction was affected by the perceptions of operating ability and benefit sharing, whereas the overall satisfaction was influenced by benefit-sharing and risk-defense ability. Policy recommendations were suggested to strengthen the close bonds among AIU members at last.