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Background and Purpose: This research has designed the main objective to elucidate the role of different commercialization capabilities (competitive intelligence capabilities, knowledge management capabilities and quality management capabilities) in predicting the creative ideation of art and movie students. Additionally, the moderating impact of socioeconomic status and education disparities is also considered in the conceptual framework. Methodology: This study was conducted within the context of China and the art and movies students were assessed using random sampling. A self-structured questionnaire was distributed and quantitative data through closed-ended questions was gathered from the target population. The main analysis technique was the Partial Least Square Structural Equational Modelling PLS-SEM in the Smart PLS application. Findings: With the bootstrapping method, the analysis results depicted the significant and positive influence of commercialization capabilities (including competitive intelligence capabilities, knowledge management capabilities and quality management capabilities) and creative ideation among the art students. Conclusion and Implications: The education disparities suggested a significant external role in influencing the association between commercialization capabilities and creative ideation. With these findings, this study has made a novel contribution to the knowledge field by sharing the perceptions of art and movie students and enlightening their reflections regarding the commercialization of their projects and subjective hard work. [ABSTRACT FROM AUTHOR]

Introduction: Diabetic nephropathy (DN) is the leading cause of end-stage renal disease. Due to its complex pathogenesis, new therapeutic agents are urgently needed. Orthosiphon aristatus (Blume) Miq., commonly known as kidney tea, is widely used in DN treatment in China. However, the mechanisms have not been fully elucidated. Methods: We used db/db mice as the DN model and evaluated the efficacy of kidney tea in DN treatment by measuring fasting blood glucose (FBG), serum inflammatory cytokines, renal injury indicators and histopathological changes. Furthermore, 16S rDNA gene sequencing, untargeted serum metabolomics, electron microscope, ELISA, qRT-PCR, and Western blotting were performed to explore the mechanisms by which kidney tea exerted therapeutic effects. Results: Twelve polyphenols were identified from kidney tea, and its extract ameliorated FBG, inflammation and renal injury in DN mice. Moreover, kidney tea reshaped the gut microbiota, reduced the abundance of Muribaculaceae, Lachnoclostridium, Prevotellaceae_UCG-001, Corynebacterium and Akkermansia, and enriched the abundance of Alloprevotella, Blautia and Lachnospiraceae_NK4A136_group. Kidney tea altered the levels of serum metabolites in pathways such as ferroptosis, arginine biosynthesis and mTOR signaling pathway. Importantly, kidney tea improved mitochondrial damage, increased SOD activity, and decreased the levels of MDA and 4-HNE in the renal tissues of DN mice. Meanwhile, this functional tea upregulated GPX4 and FTH1 expression and downregulated ACSL4 and NCOA4 expression, indicating that it could inhibit ferroptosis in the kidneys. Conclusion: Our findings imply that kidney tea can attenuate DN development by modulating gut microbiota and ferroptosis, which presents a novel scientific rationale for the clinical application of kidney tea. [ABSTRACT FROM AUTHOR]

The "Dual Carbon" policy is a strategic instrument for the realization of the "Dual Carbon" target. The quantitative analysis of the "Dual Carbon" policy can provide theoretical support and decision-making reference for the institutional design and adjustment of the policy, so as to further improve the "Dual Carbon" 1 + N policy system. By constructing a three-dimensional analysis framework of "instrument-goal-object", adopting the content analysis method, and combining the coding results of the "Dual Carbon" policy text to conduct multidimensional cross-analysis, we found that the overall design of the "Dual Carbon" policy is reasonable, but at the same time, there are problems such as unbalanced distribution of policy instruments, incomplete coverage of policy goals, insufficient synergy of policy objects, and low degree of matching between policy dimensions. In response to these problems, targeted mitigation measures are proposed. [ABSTRACT FROM AUTHOR]

Introduction: This study delves into the intricate dynamics between fiscal policies supporting agriculture and the non-linear influence of agricultural science and technology innovation on enhancing agricultural resilience. We conducted research across 31 provinces (including autonomous regions and municipalities) in China from 2007 to 2021. Method: By constructing the evaluation index system of agricultural resilience, the entropy value method is used to measure the value of agricultural resilience, and then standard deviation ellipse and center of gravity migration analysis, benchmark regression model, heterogeneity analysis, threshold regression model are used to analyze the relationship between agricultural science and technology innovation, fiscal policies supporting agriculture and agricultural resilience. Result: (1) The analysis of the spatio-temporal evolution trend shows that the overall development of China's agricultural resilience is relatively stable, the resilience range is expanding, and the geographical area with the southeast as the center of gravity presents a stronger pulling effect; (2) The benchmark regression model shows that agricultural science and technology innovation has a significant positive effect on agricultural resilience; (3) Agricultural science and technology innovation plays a nonlinear role in increasing agricultural resilience when fiscal policies supporting agriculture are used as a threshold variable. (4) Heterogeneity analysis highlights stronger promotion of agricultural resilience through science and technology innovation in non-main producing areas and economically underdeveloped regions. Discussion: To address this, policymakers should leverage the resilience of the Southeast, boost innovation capacity, tailor innovation to local needs, and reinforce fiscal policies supporting agriculture. These insights provide valuable direction for policymakers in crafting effective measures to enhance agricultural resilience. [ABSTRACT FROM AUTHOR]

The current research delves into the correlation between corporate social responsibility (CSR) and the environmental performance (EP) of manufacturing enterprises in China. In addition, we examined the mediation impact of green innovation practices (GIP) on the interaction between CSR and EP. The study also looked at competitive advantage (CPA) as a moderator to see how it influences the connection between CSR and EP in dynamic capability view theory (DCV). A structured questionnaire was adapted to collect data from 910 manufacturing companies in Zhanjiang city, in Jiangsu province, China. The partial least squares (PLS-SEM) methodology analyzed the theoretical framework. The empirical findings are as follows: (1) CSR is a crucial predictor of EP. (2) GIP has a direct impact on EP. (3) GIP acts as a mediator in the CSR-EP connection, and (4) Lastly, the CPA strongly enhances the interaction between CSR and EP. These findings contribute practically and theoretically to understanding how CSR fosters EP, emphasizing the necessity for manufacturing companies to institute policies and initiatives for environmental sustainability and prioritize ecologically friendly practices to enhance EP. [ABSTRACT FROM AUTHOR]

Introduction: The sustainable development of China's food system is an essential requirement for realizing the digital transformation of agriculture and rural areas and the main target for the big release of agricultural and rural digitalization dividends and the scale of feedback. What are the current trends of change in China's agricultural and rural digitization and sustainable development of the food system? Have they achieved a high level of coordinated development? What are the factors constraining their coordinated development? Methods: This work is based on 30 Chinese provincial administrative areas from 2011 to 2020. We adopt the entropy weight method to calculate the comprehensive development index of the agricultural and rural digitization and food system sustainability, respectively. The coupling degree and coupling coordination degree of the two systems are calculated by applying the coupling coordination degree model. The obstacle degree model was used to diagnose the obstacles constraining the coupling and coordinated development of the coupled systems. Results: This study found that the development index of China's provincial agricultural and rural digitization and food system sustainability increased gradually from 2011 to 2020. The coupling of the two systems is mainly in the high-level coupling stage, but the coupling coordination degree is primarily in the low and medium coupling coordination intervals. These results are heterogeneous across China's four geographic regions: east, center, west, and northeast. The level of rural digital platform construction and rural digital industrialization is the most essential indicator-level and element-level barriers to agricultural and rural digitalization, respectively. Per capita food possession and food stability are, respectively, the most critical indicator-level and elementlevel barriers to the food system sustainability. Discussion: The research in this work contributes to a comprehensive understanding of the evolutionary trends in agriculture and rural digitalization and the food system sustainability in the country as a whole and within the country. Although the two systems have not achieved a high level of coordinated development, the coupling degree and coupled coordination degree show a positive feedback relationship. The analysis of the obstacle factors helps to recognize the main bottlenecks constraining the coupled and coordinated development of the systems at a more specific level. [ABSTRACT FROM AUTHOR]

Companies are pressured by stakeholders to protect the environment while improving their economic performance. This study aims to further explore the impact of environmentally sustainable practices (ESP) on firm performance (FP), by considering the effects of green employee integration (GEI), environmental sustainability (ES), and employee environmental orientation (EEO). To test the set of hypotheses defined for this article, a closed-ended questionnaire survey was conducted with employees working in the manufacturing sector in China. Data from 325 employees were analysed using SmartPLS 4 software. The results demonstrate that environmentally sustainable practices (ESP) have a direct and significant influence on GEI, ES, and FP. In addition, GEI has a significant direct impact on ES and FP, and ES has a direct impact on FP. This research also demonstrated the partial mediation of GEI and ES and the moderation of EEO on the ESP–FP relationship. This research advances the scope of the ability, motivation, and opportunity theory and the social identity theory. Results suggest that managers should adopt, implement, and promote green practices, as this leads to involving employees in activities that can lessen adverse impacts on society and improve firm's economic performance, including in terms of reputation and profits. [ABSTRACT FROM AUTHOR]

The existing millennium documents the most adverse consequences of global warming which in contrast to pre-industrial era are more devastating. Thus, these prevailing consequences raise numerous concerns regarding the well-being of future and current generation. Scholars, in this regard, are putting efforts punctiliously towards methods that could halt the surging emissions. This paper also attempts to contributes to existing literature by reporting the empirical evidences regarding the role of energy transition technologies, renewable energy production (REP), trade openness, green investment, and carbon taxes in carbon neutrality in Chinse economy covering the time span of 1980–2020. By employing Dynamic Auto-regressive Distributed Lags (DARDL) model to check the association, findings exposed that electricity production from water sources, electricity production from solar sources, REP, trade openness, green investment, and carbon taxes are negatively correlated with CO2 emissions. Study offers policymakers a help in formulating policies related to achieve carbon neutrality using renewable sources of energy production, carbon taxes, and green investment. [ABSTRACT FROM AUTHOR]

The manufacturing organizations are threatening the earth and its wildlife because of their growing concern about environmental pollution and industrial waste. Hence, in the present study, the three potential solutions, Green Intellectual Capital, Environmental Management Accounting and Energy Efficiency, are evaluated for excelling the organizational operations towards business sustainability and attaining the Competitive Advantage. With the assistance of 'Partial Least Square-Structural Equation Modelling' on the dataset of 364 respondents from the manufacturing organizations in China, the outcome reported the positive and significant impact of all of the studied potential solutions in excelling and enhancing business sustainability and competitive advantage. Based on the findings, it is proposed that manufacturing organizations need to apportion due attention to developing the green intellectual capital, improve the level of consumption of energy and need to disclose their environmental management through proper Environmental Management Accounting. [ABSTRACT FROM AUTHOR]

The ongoing population aging and few children are major challenges for human sustainable development in the 21st century. While the external environment is a crucial factor determining people's behaviour, the potential effects of subjective environmental quality on an individual's fertility decision‐making remain poorly understood. Using data from the Chinese General Social Survey, this research has examined the relationship between environmental quality perception and fertility intention in China. Results reveal that an increase in environmental quality perception can significantly promote people's fertility intention. Our study proposes and verifies two pathways through which environmental quality perception affects fertility intention, namely, well‐being and future expectation. This facilitating effect is greater for people with poor socio‐economic conditions. The findings indicate that policymakers should coordinate environmental protection and population policies to promote sustainable development and design various tools targeted based on people's socio‐economic background. [ABSTRACT FROM AUTHOR]

In recent years, extreme events and risks have increased under the background of global warming, which influenced agricultural production significantly. Adaptation has been considered as a key pathway to enhancing smallholders' climate resilience. We selected a total of 903 smallholders using the multi-stage random sampling technique in rainfed areas in China, and then collected the survey data through the structured questionnaire and focus group discussion. Three resilience-building adaptation indices (RBAS-A, RBAS-D and RBAS-I) were constructed by the entropy method, whose mean values were 0.378, 0.336, and 0.602, respectively. Furtherly, the random forest model was used to explore influencing factors of climate-resilient adaptation strategies. The results revealed that education level of household head, family size, farmland size, access to information by mass media and kith and kin, perception of temperature change in summer and winter, and perception of crop yield change were the significant factors influencing smallholders' alteration strategies. Meanwhile, age and education level of household heads, off-farm income, farmland size, mass media, and perception of winter temperature changes had significant effects on the diversification strategies. Moreover, demographic characteristics, socioeconomic characteristics, information access and climate change perceptions, and impacts had significant impacts on intensification strategies. Importantly, we found that there was a certain threshold for the impact of several factors on the constructed composite indices. And the impacts of the perceptions of temperature on alteration and intensification strategies showed a V-shape. Finally, we proposed targeted suggestions for improving smallholders' climate-resilient adaptation in the rainfed agricultural areas in China. [ABSTRACT FROM AUTHOR]

Electric vehicles (EVs) are rapidly becoming a sustainable and viable mode of future transportation due to their multitude of advantages, such as reduced CO2 emissions, local air pollutants, and vehicular noise. This study aims to identify and analyze the scientific literature using bibliometric analysis to determine the main topics of authors, their sources, and the most-cited articles, countries, journals, and institutes in the literature on EVs. This bibliometric analysis included scientific work that was published from 2011 to 2022 to provide a thorough analysis of EVs, which will assist researchers and policymakers in understanding the most current global EV advancements. This analysis extracted all bibliometric information about EVs from the Scopus database, collecting 17,150 articles published between 2011 and 2022. The data were sorted for analysis by publication year, document type, author, institute, country, cited author, keyword, and keyword co-occurrence of the EVs. The VOSviewer software was employed to examine the sorted data due to its excellent analysis and visualization capabilities. We used VOSviewer to graphically represent the density, co-occurrence, trends, and linkage of the aforementioned data comprehensibly. The publishing patterns of EVs indicate that the research field is evolving, with a yearly increase in the number of publications. The analysis showed that China, the United States, and the United Kingdom are leading in EV research and large-scale applications. Furthermore, China is the leading country in terms of research institutions and authors involved in EVs. The journal Energies is the most prominent publication periodical. Keyword analysis revealed that during the past decade, EV research has concentrated on battery-management systems, energy storage, charging infrastructure, environmental concerns, etc. The bibliometric study offered pertinent details on the main themes explored concerning EVs and current technological developments. [ABSTRACT FROM AUTHOR]

Global climate change affects all aspects of human society, especially agricultural and animal husbandry production. Northwest China has been detrimentally affected by the climatic variations due to its high exposure to extreme climatic events. A number of studies have reported agro-pastoralists' perceptions and adaptation responses to climate change, but the current knowledge of agro-pastoralists' perceptions of climate change in China are insufficient. To fill this research gap, this study aims to investigate the perception level of agro-pastoralists in Northwest China on climate change and related factors. Data were collected using a structured questionnaire based on household surveys of 554 study participants in four counties in Gansu Province, China. Raw data were collected using stratified random sampling. A probit model was used to analyze the respondents' understanding of climate change and its related socio-economic and demographic variables. Our results show that the majority of respondents were aware (70%) of the changes in temperature and precipitation. Socioeconomic and demographic variables such as gender, farming experience, education level, cultivated land size, agricultural income, livestock, village cadre experience, access to weather information of agro-pastoralists are pertinently related to agro-pastoralists' awareness of climate change. Farming experience, education level, household size, grassland size, agricultural income, association membership, village cadre experience has a high impact on agro-pastoralists' adaptation to climate change. The results of this study will help guide government agencies and decision makers, and help arid and semi-arid areas to build sustainable adaptation measures under the framework of climate change. The study recommends institutions targeting households' livelihood improvement and making decisions concerning climate change adaptation need to focus on mass media and information technology, improving locally adapted extension services, improved irrigation, expand loan channels. [ABSTRACT FROM AUTHOR]

Trust is of great significance to the economic and social development of a country. In the case of China, the trust of rural women has undergone tremendous changes along with the development of rural areas. It is seen that the trust of rural women has changed from localized to generalized trust, and it is stated that the major factor leading to this transformation is education. To explore the phenomenon empirically, the current study uses the survey data of rural women sourced from China Family Panel Studies (CFPS) over the year 2018. Through the ordered probit model, the study reveals that education plays a significant role in influencing rural women's generalized trust and localized trust. Through mediation analysis, the study further reveals that reliance on Internet information, access to public resources, and income are the factors mediating the relationship between education and generalized trust. Besides, the outcomes further unveil that the impact of education on localized trust is stronger when the level of mobility is low. For robustness check, the current study additionally employs a regression discontinuity model. The overall findings elucidate that education is the major factor triggering the trust of rural women in China. The findings propose that policymakers in China should imply education-oriented strategies as individuals with higher levels of education are more inclined to trust others. [ABSTRACT FROM AUTHOR]

China set the goal of expanding early childhood education (ECE) in 2018, by encouraging the development of public interest kindergartens (PIK) to provide high-quality, low-cost preschool services to the general public. This is in response to the challenges of accessibility, affordability, and accountability besetting China's current ECE system. However, the transition toward PIK has been slow due to various complex problems, including the lackluster willingness of ECE providers to become PIK. To better understand the challenges leading to low participation, this study explores the external pressures affecting ECE providers and evaluates the external factors that influence their level of social responsibility. A stratified-random sampling questionnaire survey solicited responses from 832 ECE personnel representing 261 kindergartens from across China. Our findings suggest that institutional pressure has a positive effect on social responsibility and inclusive participation. We also found that institution visibility positively regulates the relationship between institutional pressure and social responsibility. At the same time, the level of environmental perception positively governs the relationship between social responsibility and participation willingness. Kindergartens should have certain social values, including assuming certain behaviors and participating in social activities in the spirit of social service and ensure multiple subjects' synergetic governance. [ABSTRACT FROM AUTHOR]

It has long been thought that the implementation of resettlement programs should focus on livelihood reconstruction in the long run rather than just concentrating on material compensation. There is to date little empirical evidence of the extent to which disaster resettlement may affect household adaptive capacity (HAC) in rural communities. To explore whether and how disaster resettlement is shaping HAC, this article conceptualizes and measures adaptive capacity at the household level using household surveys in rural China. An indicator-based framework is adopted to identify and evaluate HAC. The results indicate that resettlement and its consequences have a significant negative impact on HAC. Although resettlement appears to have a central place in development projects in China, we provide evidence that it leads to reducing rather than improving household capacity to adapt to natural disasters. [ABSTRACT FROM AUTHOR]

Under the scenario of the complex external environment and internal structural changes in agricultural development, exploring the synergistic relationship between agricultural green efficiency (AGE) and agricultural economic resilience (AER) can offer a new path for fostering sustainable regional agricultural development. This paper fills the research gap in the interaction between efficiency and resilience in agriculture. We explore the synergistic mechanism of the two based on the perspective of sustainable development, providing a reference for constructing a synergistic theoretical system of AGE and AER. Moreover, we apply the Haken model to the field of the agricultural economy and scientifically evaluate the level of AGE and AER synergy in Northeast China from 2010 to 2020. Finally, we analyze the influencing factors of AGE and AER synergy in Northeast China from three dimensions: economic, social, and natural. The results show that AER is dominant in the AGE-AER synergistic system. The synergy level of AGE and AER in Northeast China is mainly in the higher and advanced synergy stages, with obvious spatio-temporal differences and insufficient inter-regional radiation effects. Social factors are the main factors of spatial differentiation of AGE and AER synergy., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Copyright of Contributions to Tobacco & Nicotine Research is the property of Sciendo 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 study examines the effects of farmers' risk aversion and loss aversion on their climate change adaptation strategies. Farmers' risk aversion and loss aversion were elicited using incentive-compatible risk experiments. Face-to-face interviews were conducted to collect information on their climate change adaptation strategies in Wushen Banner in China. The logistic regression analysis results indicated that farmers' loss aversion is consistently and positively associated with choices across adaptation behaviors, indicating that more loss-averse farmers are more likely to improve irrigation, access to credit and increase rotation. The effects of farmers' risk aversion on adaptation practices are mixed. Farmers' risk aversion is negatively and significantly related to adaptation strategies on changing or increasing irrigation, but positively associated with crop diversification, accessing credit, increasing rotation and planting new crop varieties. Other socioeconomic factors, such as farmers' educational attainment and household income, also have significant and positive effects on farmers' adaptation practices. [ABSTRACT FROM AUTHOR]

The purpose of this article was to investigate the association between the ubiquitin-associated domain-containing protein 2 (UBAC2) gene polymorphism and noise-induced hearing loss (NIHL) and to further explore the role of single-nucleotide polymorphism (SNP) in UBAC2 in NIHL. A case control study involving 660 NIHL cases and 581 controls was conducted in this research. After genotyping by multiplex polymerase chain reaction (PCR) with next-generation sequencing, the correlation between SNPs and NIHL was analyzed using logistic regression analysis. Haplotype analysis was performed by Haploview 4.1 software. Then luciferase reporter assays and siRNA were used to explore the mechanism of SNPs in UBAC2 affecting NIHL susceptibility. The correlation analysis showed that rs3825427 AA genotype, rs9517701 GG genotype, rs7999348 GG genotype, and rs2296860 AA genotype were all associated with increased risk of NIHL (P < 0.05). The haplotype AGGA (rs3825427-rs9517701-rs7999348-rs2296860) also had a higher risk of NIHL (OR = 1.314; 95% CI, 1.098-1.572; P = 0.003). The results of the luciferase reporter assays showed that the fluorescence intensity of CTCF-OE + UBAC2 WT + TK was significantly higher than that of CTCF-NC + UBAC2 WT + TK and CTCF-OE + UBAC2 MT + TK (all P < 0.01). In CTCF knockdown cells, the expression of UBAC2 was also significantly downregulated (P = 0.0038), indicating that the transcription factor CTCF positively regulated the expression of UBAC2 and the rs3825427 C allele acted as an enhancer, which can promote CTCF to bind to the promoter of UBAC2, thereby promoting transcription. UBAC2 gene polymorphism is related to NIHL susceptibility. The UBAC2 rs3825427 regulates the expression level of UBAC2 by affecting the combination of CTCF and DNA, thus affecting the susceptibility of NIHL., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering 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.)

After the completion of China's poverty alleviation task in 2020, the poverty situation will undergo major changes, and the focus of poverty alleviation work will shift to solving relative poverty. This can provide useful inspiration for the government to formulate and implement relevant policies that explore the differences in livelihood risk impacts of different types of farmers in areas where disasters and poverty are intertwined. This study used survey data of 327 households in four districts and counties in the hardest-hit areas of the Wenchuan Earthquake and Lushan Earthquake in China's Sichuan Province in 2018. This study measured farmers' livelihood risks from four aspects: health risks, environmental risks, financial risks, and social risks, and measured farmers' poverty types from three aspects: absolutely poor farmers, relatively poor farmers, and non-poor farmers. It systematically analyzed the four types of livelihood risks faced by farmers and the three types of poverty they were in, and constructed a multinomial logistic regression to explore the correlation between livelihood risks and poverty types. This study is the first to compare the relatively poor type with other poverty types. The second innovation is that it uses the entropy method and multinomial logistic regression. The results showed that: (1) Among the four livelihood risks faced by farmers, the biggest was the environmental risk, the next was financial risk, the third was health risk, and the last was social risk. (2) Among the three poverty types, farmers in absolute poverty were the most populated, with non-poor farmers next, and relatively poor farmers at the bottom. (3) Farmers of different poverty types were affected by livelihood risks to different degrees. Specifically, when compared with the impacts on farmers in absolute poverty, the impacts social risks could bring to farmers in relative poverty were more severe while the impacts of health risks, environmental risks and financial were not that strong. Impacted by social risks, relatively poor farmers are more seriously impacted by public affairs and social security status. When compared with the impacts on non-poor farmers, the impacts of all these four risks on relatively poor farmers were not notable. [ABSTRACT FROM AUTHOR]