Governance Strategies Research Articles

A theoretical framework for human-centered intelligent information services: A systematic review

Intelligent Information Services (IIS) employ Artificial Intelligence (AI)-based systems to provide information that matches the user's needs in diverse and evolving environments. Acknowledging the importance of users in AI-empowered IIS success, a growing number of researchers are investigating AI-empowered IIS from a user-centric perspective, establishing the foundation for a new research domain called “Human-Centered Intelligent Information Services” (HCIIS). Nonetheless, a review of user studies in AI-empowered IIS is still lacking, impeding the development of a clear definition and research framework for the HCIIS field. To fill this gap, this study conducts a systematic review of 116 user studies in AI-empowered IIS. Results reveal two primary research themes in user studies in AI-empowered IIS: human-IIS interaction (including user experience, system quality, user attitude, intention and behavior, information quality, and individual task performance) and IIS ethics (e.g., explainability and interpretability, privacy and safety, and inclusivity). Analyzing research gaps within these topics, this study formulates an HCIIS research framework consisting of three interconnected elements: human values and needs, environment, and service. The interconnections between each pair of elements identify three key research domains in HCIIS: interaction, ethics, and evolution. Interaction pertains to the facilitation of human-IIS interaction to meet human needs, encompassing topics including human-centered theory, evaluation, and the design of AI-empowered IIS interaction. Ethics emphasize ensuring AI-empowered IIS alignment with human values and norms within specific environments, covering topics like general and context-specific AI-empowered IIS ethical principles, risk assessment, and governance strategies. Evolution focuses on addressing the fulfillment of human needs in diverse and dynamic environments by continually evolving intelligence, involving the enhancement of AI-empowered IIS environmental sensitivity and adaptability within an intelligent ecosystem driven by technology integration. Central to HCIIS is co-creation, situated at the intersection of interaction, evolution, and ethics, emphasizing collaborative information creation between IIS and humans through hybrid intelligence. In conclusion, HCIIS is defined as a field centered on information co-creation between IIS and humans, distinguishing it from IIS, which focuses on providing information to humans.

AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities

Generative AI has drawn significant attention from stakeholders in higher education. As it introduces new opportunities for personalized learning and tutoring support, it simultaneously poses challenges to academic integrity and leads to ethical issues. Consequently, governing responsible AI usage within higher education institutions (HEIs) becomes increasingly important. Leading universities have already published guidelines on Generative AI, with most attempting to embrace this technology responsibly. This study provides a new perspective by focusing on strategies for responsible AI governance as demonstrated in these guidelines. Through a case study of 14 prestigious universities in the United States, we identified the multi-unit governance of AI, the role-specific governance of AI, and the academic characteristics of AI governance from their AI guidelines. The strengths and potential limitations of these strategies and characteristics are discussed. The findings offer practical implications for guiding responsible AI usage in HEIs and beyond.

A Comparative Study of Kautilya Arthashastra and Current Arthashastra

This study examines the parallels and discrepancies between modern economic governance ideas and Kautilya's Arthashastra, a classical Indian treatise on statecraft and economics. With a focus on administration, taxation, and governance, Kautilya's Arthashastra, which dates to the fourth century BCE, offers insights into prehistoric Indian economic and political ideas. In contrast, modern economic governance emphasizes government action, market mechanisms, and ethical issues while drawing from a variety of economic theories and practices. The comparative study explores a number of important aspects, such as the breadth and emphasis of each framework, the economic theories that are promoted, governance strategies, ethical issues, and the technology environment. The main topics of the two Arthashastras are the state's involvement in economic concerns and ethical governance; yet, throughout time, developments in technology, governance structures, and societal standards have caused them to diverge dramatically.

Failure’s virtues: the seeding of an emerging entrepreneurial ecosystem in a peripheral region

ABSTRACT A key strategy of governments in economically-lagging regions is to provide financial support to innovative start-ups. Yet, if such businesses fail, governments are criticized for ‘wasting tax-payers money’. This paper challenges this narrative. It provides a case study of Consilient Technologies, located in St John’s, Newfoundland and Labrador, Canada’s most economically under-developed province. The company had developed technology for the emerging cellular-phone market. It received significant funding from the Federal and Provincial governments. It recruited talent who would have left the province to seek employment and attracted others back to the province. It provided its workforce with the opportunity to acquire new competences, experience and knowledge along with entrepreneurial learning. Following its closure, its employees either moved to other technology firms in the emerging local entrepreneurial ecosystem or started their own businesses. The company also had significant demonstration effects for aspiring technology entrepreneurs. The study demonstrates to policy-makers that businesses that they support but which subsequently fail can nevertheless have a positive impact on the ecosystem. Accordingly, they need to have need to a tolerance for failure.

Estimating the dynamics and driving factors of gross primary productivity over the Chinese Loess Plateau by the modified vegetation photosynthesis model

Gross primary productivity (GPP) is a key parameter in research on the global carbon cycle and changes. Understanding the spatiotemporal dynamics and influencing factors of GPP on the Loess Plateau (LP) helps identify the health status of ecosystems, thereby enabling the implementation of effective conservation and restoration measures. In this study, we used a modified vegetation photosynthesis model (VPM) to simulate a long-term series of GPP in the LP from 2001 to 2022, and the impacts of different land-use patterns and meteorological factors on GPP were investigated using a transition matrix, linear regression, and partial correlation analyses. The findings suggested that the modified simulation yielded a more reliable performance (coefficient of determination (R2) = 0.89, root mean square error (RMSE) = 143.47 gC·m−2·yr−1) and was suitable for further research endeavors. (1) The GPP on the LP significantly increased by 232.65 TgC from 2001 to 2022. The southeastern region contributed more than the northwestern region, and the GPP exhibited higher multi-year averages and growth rates below 1000 m elevation. (2) Forests in the southeastern region of the LP, characterized by a heightened growth rate, will influence future spatial variations in GPP increases across the LP. Despite the decline in grassland and cultivated land areas, substantial land coverage has significantly contributed to the overall GPP growth. Urbanization encroaching on cultivated land has emerged as a key contributor to the decline in GPP in low-altitude regions. (3) Air temperature was the main physical driving force for GPP change in the LP. Additionally, the GPP in forested regions exhibited a negative correlation with rainfall, whereas the GPP in areas undergoing the return of cropland to forest–grassland and cropland reclamation correlated negatively with solar radiation. (4) The attribution analysis indicated that the surge in vegetation GPP on the LP was collectively driven by human activities and meteorological changes, with human activities dominating these changes by 61.41 %. This study deepens the understanding of terrestrial ecology in semi-humid regions and provides scientific insights for implementing ecological governance strategies in the LP.

Can China's low-carbon city pilot policy facilitate carbon neutrality? Evidence from a machine learning approach

This study examines China's 2060 carbon neutrality goal using the Double/Debiased Machine Learning (DML) model to analyze the causal effects of the low-carbon city pilot (LCCP) policy on urban carbon neutrality in 277 Chinese cities from 2008 to 2017. A series of empirical studies and robustness tests show that the LCCP policy has promoted carbon neutrality in Chinese cities. Through causal mediation analysis, this study identifies potential mechanisms, including increasing green credit, stimulating green innovation, optimizing industrial structures, and strengthening environmental governance. The LCCP policy has a varied impact on cities, depending on their resource endowments, geographical locations, and sizes. Furthermore, this study develops a green development index to assess the causal impact of the LCCP policy on green development, suggesting that it does not hinder the city's economic growth but rather enhances its quality and sustainability. This study provides empirical evidence for regional environmental governance and improvement strategies and offers valuable insights into China's transition from prioritizing rapid economic growth to achieving high-quality development.

Women Entrepreneurship: Driving Economic Empowerment in Atmanirbhar Bharat

The impact of women entrepreneurship on economic development in the Delhi-NCR region of India is a pivotal area of study, reflecting broader socio-economic trends and challenges. This paper examines how women entrepreneurs contribute to economic growth and social transformation within this rapidly urbanizing region. The Delhi-NCR region, encompassing the National Capital Territory of Delhi and adjoining areas in Haryana, Uttar Pradesh, and Rajasthan, represents a significant economic hub in India. It provides a fertile ground for exploring the dynamic role of women in business and its implications for economic development. Women entrepreneurship in Delhi-NCR has seen an outstanding ascent because of a conjunction of variables including expanded instructive fulfillment among ladies, steady government strategies, and developing cultural standards. This paper utilizes a blended strategies approach, consolidating quantitative information examination and subjective contextual investigations to grasp the expansiveness and profundity of ladies' effect around here. The review recognizes key areas where lady’s business people are generally dynamic, like innovation, retail, and administrations, and inspects how their endeavors impact nearby economies, work creation, and advancement.In order to determine the role of women-led businesses in regional economic development, the research conducts quantitative analyses of employment statistics, business performance metrics, and economic contributions. In order to gain an understanding of the difficulties and opportunities faced by women entrepreneurs, the study conducts qualitative interviews with business leaders, policymakers, and other female entrepreneurs. The findings highlight a number of significant effects that women's entrepreneurship has on the growth of the Delhi-NCR economy.

Spatiotemporal Evolution and Tapio Decoupling Analysis of Energy-Related Carbon Emissions Using Nighttime Light Data: A Quantitative Case Study at the City Scale in Northeast China

As the world’s second-largest economy, China has experienced rapid industrialization and urbanization, resulting in high energy consumption and significant carbon emissions. This development has intensified conflicts between human-land relations and environmental conservation, contributing to global warming and urban air pollution, both of which pose serious health risks. This study uses nighttime light (NTL) data from 2005 to 2019, along with scaling techniques and statistical analysis, to estimate city-scale energy carbon emissions over a 15-year period. Focusing on Northeast China, a traditional industrial region comprising 36 cities across three provinces, we examine spatial patterns of energy carbon emissions and assess spatiotemporal evolution through spatial autocorrelation and dynamic changes. These changes are further evaluated using standard deviation ellipse (SDE) parameters and SLOPE values. Additionally, the Tapio decoupling index is applied to explore the relationship between city-scale emissions and economic growth. Our findings for the 36 cities over 15 years are: (1) Heilongjiang shows low, declining emissions; Jilin improves; Liaoning has high, steadily increasing emissions. (2) The global spatial autocorrelation of energy carbon emissions is significant, with a positive Moran’s I, while significant local Moran’s I clusters are concentrated in Heilongjiang and Liaoning. (3) The greatest emission changes occurred in 2015, followed by 2019, 2005, and 2010. (4) Emission growth is fastest in Heilongjiang, followed by Liaoning and Jilin. (5) Tapio analysis shows positive decoupling in Heilongjiang, declining decoupling in Jilin, and no change in Liaoning. This study provides a quantitative basis for dual carbon goals and offers emission reduction strategies for government, industry, and residents, supporting energy transition and sustainable urban planning.

Fighting for collusive bidding in the construction industry: A text mining-enabled approach

Policy measures are crucial for regulating collusive bidding and are integral to effective governance. However, current research lacks a comparative exploration of strategies to combat collusive bidding through policy. Therefore, this study aims to identify more effective countermeasures by examining policy variations between regions with low and high incidences of collusive bidding. Using Latent Dirichlet Allocation (LDA) topic modeling, the study extracts key themes from these policies, while qualitative analysis highlights differences in approaches. It underscores that integrating electronic and informatization technologies into bidding systems significantly reduces collusive practices. While increasing penalties can deter collusive bidding, achieving desired impacts requires thorough investigation and vigilant oversight. Additionally, strengthening external supervision enhances control over such activities. This study identifies critical governance strategies for addressing collusive bidding and advocates further research into more effective methods within the construction sector.

Study on the Precise Evaluation of Environmental Impacts of Air Pollution in Cold Regions Using the Cost Control Method

Objective: With the acceleration of industrialization, air pollution has become a global environmental issue, particularly in cold regions where the unique climatic and geographical conditions give rise to distinctive types of air pollution and impacts. Considering the economic evaluation of environmental damage is crucial for effective pollution control policies, this study aims to provide a more precise environmental damage assessment method through the Improved Virtual Control Cost Method (IVCCM) to optimize air pollution governance strategies in cold regions. Method: This study utilizes a case study of a major company producing methanol and coal-based natural gas, where the emissions from the boiler exhaust exceeded the prescribed standards for particulate matter, sulfur dioxide, and nitrogen oxides during a specific period. By employing a segmented counting approach that accounts for downtime, precise calculations were conducted for the actual periods of excess emissions. Adjustments were made to the calculation coefficients within the Virtual Control Cost Method to more accurately reflect the ecological damage caused by air pollution. Results: The IVCCM calculations revealed that the total environmental loss caused by the company’s excessive air pollution emissions amounted to USD 1.6844 million, significantly lower than the original calculation method (USD 2.1885 million). Specifically, the environmental losses due to particulate matter, sulfur dioxide, and nitrogen oxides were USD 0.0032 million, USD 0.3600 million, and USD 1.3212 million, respectively. Conclusions: The IVCCM enables a more precise assessment and prediction of ecological environmental damage caused by air pollution in cold regions. Compared to traditional methods, it effectively reduces assessment costs, mitigates disputes arising from unclear parameter values and calculation methods, and facilitates the development of more rational environmental protection policies and measures.

Residents’ perspectives on the efficacy of government strategies for urban heritage conservation in Guancheng District, Zhengzhou, Henan, China

Residents’ perspectives on the efficacy of government strategies for urban heritage conservation in Guancheng District, Zhengzhou, Henan, China

Gender Dimensions of Vulnerabilities, Adaptations and Alternative Livelihoods of the Closed Season in Elmina – Ghana: A Qualitative Study

A closed season policy has emerged as an ocean governance strategy aimed at protecting and conserving fish stocks across countries and coastal areas. Its implementation has produced traces of vulnerabilities, and forms of livelihood adaptations and alternative livelihood opportunities. However, little is known about how these occur among gender groups. This paper therefore focuses on the gender dimensions of vulnerabilities, adaptations and alternative livelihoods during the closed season in Elmina, Ghana, within the feminist political ecology framework. It employed Focus Group Discussions (FGDs) from purposively selected fishermen and fish processors. The study found significant differences in the vulnerability patterns among the gender groups, albeit some similarities. We further observed more fluid roles among the women than the men because the women were ready to undertake alternative livelihood options that were traditionally male-based during the closed season. Based on these results, we contend that political decisions toward environmental sustainability may create vulnerability and fluid adaptation patterns which may vary among gender groups in the light of their differential patterns of access, control and positionalities within the fishing industry.

Changes in memory and cognition during the SARS-CoV-2 human challenge study

Patient-reported outcomes and cross-sectional evidence show an association between COVID-19 and persistent cognitive problems. The causal basis, longevity and domain specificity of this association is unclear due to population variability in baseline cognitive abilities, vulnerabilities, virus variants, vaccination status and treatment. Thirty-four young, healthy, seronegative volunteers were inoculated with Wildtype SARS-CoV-2 under prospectively controlled conditions. Volunteers completed daily physiological measurements and computerised cognitive tasks during quarantine and follow-up at 30, 90, 180, 270, and 360 days. Linear modelling examined differences between 'infected' and 'inoculated but uninfected' individuals. The main cognitive endpoint was the baseline corrected global cognitive composite score across the battery of tasks administered to the volunteers. Exploratory cognitive endpoints included baseline corrected scores from individual tasks. The study was registered on ClinicalTrials.gov with the identifier NCT04865237 and took place between March 2021 and July2022. Eighteen volunteers developed infection by qPCR criteria of sustained viral load, one without symptoms and the remainder with mild illness. Infected volunteers showed statistically lower baseline-corrected global composite cognitive scores than uninfected volunteers, both acutely and during follow up (mean difference over all time points=-0.8631, 95% CI=-1.3613,-0.3766) with significant main effect of group in repeated measures ANOVA (F (1,34)=7.58, p=0.009). Sensitivity analysis replicated this cross-group difference after controlling for community upper respiratory tract infection, task-learning, remdesivir treatment, baseline reference and model structure. Memory and executive function tasks showed the largest between-group differences. No volunteers reported persistent subjective cognitive symptoms. These results support larger cross sectional findings indicating that mild Wildtype SARS-CoV-2 infection can be followed by small changes in cognition and memory that persist for at least a year. The mechanistic basis and clinical implications of these small changes remain unclear. This study was funded through the UK Vaccine Taskforce of the Department for Business, Energy and Industrial Strategy (BEIS) of Her Majesty's Government. WT was funded by the EPSRC through the CDT for Neurotechnology Imperial College London.

Spatiotemporal drivers of agricultural non-point source pollution: A case study of the Huang-Huai-Hai Plain, China

Agricultural non-point source pollution (ANPSP) poses a severe threat to ecological environments, especially in China's major grain-producing regions. Despite the increasing attention, existing studies often overlook the spatial heterogeneity and driving mechanisms of ANPSP within different functional regions. This study addresses this research gap by constructing a bottom-up regional inventory of ANPSP for the Huang-Huai-Hai Plain (HHHP) and applying the Logarithmic Mean Divisia Index (LMDI) decomposition method to analyse the spatio-temporal patterns of ANPSP from 2000 to 2020. Spatial econometric models were further applied to examine the spatial spillover effects of driving factors from the perspective of Major Function-oriented Zoning (MFZ). The results show that while ANPSP emissions in the HHHP have generally increased over the past two decades, a slight decrease has been observed since 2015. Grain yield capacity and cropping intensity were identified as the primary drivers of ANPSP growth, particularly in urbanised zones (UZs) and main agricultural production zones (MAPZs). The study also highlights significant spatial heterogeneity in the impact of driving factors on ANPSP across different MFZs, with marked differences in both the direct and spatial spillover effects of these factors. This underlines the need for differentiated environmental protection policies tailored to the functions and characteristics of each region. By integrating the LMDI decomposition method with spatial econometric models, this study offers a new framework for understanding the ANPSP dynamics within the context of MFZs, providing policymakers with valuable insights for designing effective, regionally coordinated governance strategies.

Human heritable genome editing and its governance: views of scientists and governance professionals

Heritable human genome editing has garnered significant attention in scholarly and lay media, yet questions remain about whether, when, and how heritable genome editing ought to proceed. Drawing on interviews with scientists who use genome editing in their research and professionals engaged in human genome editing governance efforts, we examine their views on the permissibility of heritable genome editing and the governance strategies they see as necessary and realistic. For both issues, we found divergent views from respondents. We place the views of these scientists and governance professionals within the context of the larger bioethical discussion of heritable genome editing governance, along a continuum of hard to soft approaches. These respondents’ views highlight the challenges of various hard forms of governance and the potential virtues of soft governance approaches.

Ethical Issues Confronting Indonesia: An In-Depth Analysis of the Hambalang Corruption Case and its Impact on Anticorruption Measures and Governance

This study conducts a nuanced examination of ethical challenges confronting Indonesia, centering on the Hambalang corruption case. Through an indepth analysis, the study scrutinizes the intricate ethical dimensions of the scandal and investigates its broader ramifications on anti-corruption measures and governance in the nation. The research aspires to offer nuanced insights into the complex interplay between ethics, governance, and corruption, aiming to contribute to the ongoing discourse on ethical governance and anti-corruption strategies in Indonesia.

Sustainable Tribal Livelihood Generation through Tribal Cooperatives and the Effective Use of Minor Forest Products in Jharkhand

A significant part of India’s tribal community, which forms 11.3% of its rural demographic, relies heavily on Minor Forest Products (MFPs) for their livelihood. Reports indicate that around 100 million people are engaged in the collection and trade of MFPs, supporting nearly 275 million rural Indians, many of whom are tribal. Despite these natural resources, tribal groups in India face substantial socio-economic challenges, lagging behind in access to essential services such as healthcare, education, and financial opportunities. This gap is where Tribal co-operatives can make a significant impact, focusing on poverty reduction, environmental sustainability, and community development by creating sustainable business models that address unmet societal needs. Jharkhand, known as the "land of forests," is among the top three Indian states with a high tribal population, where approximately 60% depend on forest resources for their sustenance. Diverse MFPs like tamarind mainly enrich the state's economy. Yet, the full economic potential of these resources is underutilized due to limited market access and inadequate livelihood opportunities for tribal populations. The present study, titled " Sustainable Tribal livelihood generation through tribal cooperatives and the effective use of minor forest products in Jharkhand," examines how forming cooperatives can not only increase villagers' incomes by producing higher-value products but also strengthen communities and promote sustainable economic development. Educating tribes on available government schemes could significantly enhance their livelihoods and contribute to India's economic growth.

A study based on high-density data examines the current status and evolution laws of heavy metal environmental capacity in the Bardawu area of the Qinghai-Tibet Plateau

As the first ladder of China, the Qinghai-Tibet Plateau has always been known as the “roof of the world”. Its environmental carrying capacity can be estimated more accurately than other regions because of its harsh natural environment, low population density, limited industrial and agricultural development, and low human activities. However, the current ecological risks of Co and threshold research are limited, and there is a lack of awareness of W’s environmental risks. Hence, this study assessed the ecological support potential of the Bardawu region within Dulan County, Qinghai Province, using 7373 soil specimens, determined regional soil baseline measures, and applied the substance equilibrium linear technique along with the ecological aggregate indicator technique to examine the heavy metal content of the soil. A comprehensive evaluation of the environmental capacity and health risks was conducted to provide a reference for pastoral planning. The findings indicated that the cumulative static ecological capacity of the six trace heavy elements in the soil was ranked as follows: Cr > Li > Ni > Cu > W > Co, with W and Co positioned as the final pair. The remaining areas with a high environmental capacity were predominantly found in the study zone. The central sector exhibited diminished environmental capacity in the southwest and northeast and presented a contamination hazard. Land use, soil type, and geological type considerably affected the six elements in the study area at the p < 0.05. The Bardawu region’s mean comprehensive index of soil environmental capacity was 0.98, indicating an intermediate level of environmental capacity and a moderate health risk. This study focuses on the geological context and influence of pastoral activities on the soil, augments the distribution of various elements across the Tibetan Plateau, and suggests preliminary soil governance strategies. The findings of this study lay the groundwork for soil environmental conservation and remediation efforts in highland regions.

Effect of County Government Strategies in the Collection, Transportation and Disposal of Plastic Waste in Lodwar Town, Turkana County Kenya

Plastic waste management has become a major public health and environmental concern in urban areas of many developing countries. Economic growth and population increase in the developing countries in recent years has caused an increase in utilization of natural resources that has led to unprecedented plastic waste generation. The uncontrolled plastic waste disposal has become a challenge in Africa and other developing countries due to insufficient or lack of human and financial capacities to remedy the situation. This study investigated the effect of county governments’ strategies in place in the collection, transportation and disposal of plastic waste in Lodwar town, turkana county Kenya. A cross-sectional descriptive study design was used. purposive sampling was used to select 345 respondents from Lodwar town and the county government employees including key informants from public health department at the county was adopted. Data were then analyzed for descriptive statistics with the aid of Statistical Package for Social Sciences (SPSS) version 26. The study findings showed that majority (78.6%) of the residents disagreed that there is reselling of plastic materials to avoid generation of wastage. Further majority (38%) also disagreed that they are reusing the plastics for other purposes in their households. Additionally, majority (55.9%) still disagreed that the municipality has recycling company, which has assisted in plastic material recycling. However, on the other hand majority (71.6%) of the residents were not aware if there is a new technological recycling machine in the county. The study revealed that majority of the respondents disagreed that there are waste collectors and transporters in the town (mean= 1.95, standard deviation=0.99). Majority of the respondents disagreed that the municipality have recycling company which has assisted in plastic material recycling (Mean=1.51, standard deviation=0.89). Majority of the residents strongly agreed that handling plastic waste in Lodwar municipality is of great concern (Mean=4.59, standard deviation=0.84). The study concluded planning and coordination have a significant effect on plastic waste handling in Lodwar municipality. There are no enough waste collectors and transporters in the town also Municipality has no clear waste management guideline/policy. Recycling methods have a significant effect on plastic waste handling in Lodwar municipality. The study recommended that the municipality administration should come up with waste management guideline/policy that will ensure efficient and reliable wastage handling.

Evaluating the Effects of Capacity Building and Training (CBT) on Sericulture Practices of Farmers in Rajouri District of Jammu and Kashmir, India

This study examines the effects of capacity building and training (CBT) on sericulture farmers in Rajouri district, Jammu and Kashmir UT. The research focuses on socio-economic and communication characteristics of sericulture farmers and evaluates the impact of CBT on their farming practices. A total of 25 sericulture farmers from sub-district Nowshera in Rajouri district were selected using simple random sampling. Data on registered farmers were obtained from the Department of Sericulture, Government of Jammu and Kashmir. Paired t-tests was employed to analyze the impact of CBT after implementation. The findings reveal significant improvements in various aspects of sericulture after CBT intervention. There was a notable increase in average seed intake, cocoon production, total family income, and income from sericulture. Furthermore, the mortality rate of silkworms decreased significantly after CBT training. The area under mulberry plantation and the number of mulberry plants also witnessed substantial increases post-training. Additionally, the application of disinfectant and the number of government schemes availed showed significant improvements. Overall, the study highlights the importance of CBT in enhancing the technical capabilities of sericulture farmers and improving their farming practices. The results underscore the significance of providing training in modern technology, integrated pest management, and disease management to enhance production outcomes in Sericulture.