Identifying the factors influencing farmers’adoption of low-carbon technologies(FA)and understanding their impacts are essential for shaping effective agricultural policies amied at emission reduction and carbon sequ...Identifying the factors influencing farmers’adoption of low-carbon technologies(FA)and understanding their impacts are essential for shaping effective agricultural policies amied at emission reduction and carbon sequestration in China.This study employs a meta-analysis of 122 empirical studies,delves into 23 driving factors affecting FA and addresses the inconsistencies present in the existing literature.We systematically examine the effect size,source of heterogeneity,and time-accumulation effect of the driving factors on FA.We find that significant heterogeneity in the factors influencing FA,except for farming experience,sources of heterogeneity from the survey zone,methodology model,technological attributes,report source,financial support,and the sampling year.Additionally,age,farming experience,and adoption cost negatively correlate with FA.In contrast,educational level,health status,technical training,economic and welfare cognition,land contract,soil quality,terrain,information accessibility,demonstration,government promotion,government regulation,government support,agricultural cooperatives member,peer effect,and agricultural income ratio demonstrate a positive correlation.Especially,demonstration and age show a particularly strong correlation.Finally,the effect of demonstration,age,economic and welfare cognition,farming experience,land contract,soil quality,information accessibility,government promotion,and support,as well as agricultural cooperative membership and peer effects on FA,are generally stable but exhibit varying degrees of attenuation over time.The effect of village cadre,family income,farm scale,gender,health status,technical training,and off-farm work on FA show notable temporal shifts and maintain a weak correlation with FA.This study contributes to shaping China’s current low-carbon agriculture policies across various regions.It encourages policymakers to comprehensively consider the stability of key factors,other potential factors,technological attributes,rural socio-economic context,and their interrelations.展开更多
Agriculture is one of the priority sectors in Timor-Leste. Introducing new agriculture technology is crucial to enhance agricultural production. Practicing cattle fattening can increase beef cattle body weight and gen...Agriculture is one of the priority sectors in Timor-Leste. Introducing new agriculture technology is crucial to enhance agricultural production. Practicing cattle fattening can increase beef cattle body weight and generate income to the beef cattle farmers. As farmers face problems including agricultural production decline, lack of forages and information and weather unfavourable. The study’s purpose was to examine the impact of adoption of cattle fattening technology on farmer households in Atabae administrative post, Bobonaro municipality in Timor-Leste. There were 200 beef cattle farmers households where randomly selected in four villages in Atabae. It consisted of 65 farmers practicing cattle fattening and 135 farmers non-practicing cattle fattening. Face to face interviews used structured questionnaire. Statistical analysis such as t-test and descriptive analysis were used to examine impact adoption of cattle fattening technology by farmers and factor constraints of cattle production and the solutions of it. The results indicated the average value of cattle and profit were significant different from zero and it is associated with practicing of cattle fattening. The average of labour used on cattle activities, the average of cattle sold, and total cost spent on cattle were not significant different from zero. The percentage of farmers said that factors constraints cattle production were shortage of water and forage (53%) and spend time on culture ceremony and lack of capital (33%). The number of farmers said that they collected water from river, feed cattle with sago and forage (55.3%) and cultivated forage (23.4%). This finding contributes information to the farmers, traders, and Timorese government to continue implementing cattle fattening activities as it enhances farmers’ income and developing cattle production.展开更多
This study was conducted in Akwa Ibom, Bayelsa and Delta States of the Niger Delta, Nigeria. It examined the level of adoption of aquaculture technologies by Fadama Ⅲ beneficiaries and assessed the differences in ado...This study was conducted in Akwa Ibom, Bayelsa and Delta States of the Niger Delta, Nigeria. It examined the level of adoption of aquaculture technologies by Fadama Ⅲ beneficiaries and assessed the differences in adoption levels on sate basis. Five fish farmers were randomly selected on multiple stage bases from 18 Fadama Users' Groups (FUGs) amounting to 90 farmers as the sample size for this study (n=90). Structured questionnaire was used to elicit information from respondents. Data collected were measured using descriptive and adoption Sigma method analysis. Results obtained revealed that of the 12 selected aquaculture based technologies recommended by Fadama Ⅲ, the ratio of adoption skills ranged from 1 high: 7 medium: 5 low. The adoption levels followed a sequence of earthen ponds preparation being the highest, and stocking density techniques being the lowest. The overall adoption level was 4.20 which implied that the aquaculture farmers were categorized as medium adopters using the Sigma method scale. It was recommended that farmers with adoption levels at medium and low ranges should be focused upon with more teaching sessions by community facilitators and that other extension workers should emulate the strategies used by Fadama Ⅲ in developing farmers.展开更多
Adoption of recommended technologies as a package is the prelude to increase cocoa productivity per unit area. This is due to the interactive benefits of individual technologies which have been recommended by the Coco...Adoption of recommended technologies as a package is the prelude to increase cocoa productivity per unit area. This is due to the interactive benefits of individual technologies which have been recommended by the Cocoa Research Institute of Ghana (CRIG). However, many surveys among cocoa farmers have reported low adoption of technologies resulting in low productivity of cocoa with an average of 450 kg/ha among small holder cocoa farmers in Ghana. The current study investigates the adoption behavior of some cocoa farmers belonging to some self help farmer associations in the Eastern Region who are being monitored by CRIG since 2011. Primary data was collected from 131 respondents using questionnaires to interview farmers between 2013 and 2015. The results showed that adoption of recommended cocoa technologies as a package was still low. Respondents, however, identified a number of challenges including high cost of inputs, lack of finance and access to credit, high cost of labour and old age as some factors hampering composite adoption of the full CRIG technologies. It is recommended that small-scale cocoa farmers need a sustainable and convenient microfinance that can motivate and help them afford the cost associated with the full package of technologies. Farmers’ savings culture should also be nurtured to enhance their financial capabilities and investment in the cocoa farm.展开更多
China is characterized as ’a large country with many smallholder farmers’ whose participation in modern agriculture is key to the country’s modern agriculture development. Promoting smallholder farmers’ adoption o...China is characterized as ’a large country with many smallholder farmers’ whose participation in modern agriculture is key to the country’s modern agriculture development. Promoting smallholder farmers’ adoption of modern agricultural production technology is one effective way to improve the capabilities of smallholder farmers. This paper aims to explore the impact of Internet use on the adoption of agricultural production technology by smallholder farmers based on a survey of 1 449 smallholders across 14 provinces in China. The results suggest that Internet use can significantly promote technology adoption, with the probability of adopting new crop varieties, water-saving irrigation technology and straw-returning technology increasing by 0.200, 0.157 and 0.155, respectively. Furthermore, the effect of Internet use is found to be heterogeneous with a greater effect on smallholder farmers having low education levels, limited training, and high incomes. To increase agricultural production technology adoption by smallholders, rural Internet infrastructure and Internet use promotion should be the focus for the Chinese government.展开更多
Based on data of 248 rural households in Pucheng County and Huxian County,we established the Two-Level Logit Model to analyze the willingness of farmers to adopt new technologies,its influence factors,and probability ...Based on data of 248 rural households in Pucheng County and Huxian County,we established the Two-Level Logit Model to analyze the willingness of farmers to adopt new technologies,its influence factors,and probability of successful adoption of new technologies.Results show that the willingness has positive correlation with whether the farmer is head of household,the educational level,occupation,agricultural loan,the number of family labor,and information dissemination channel,while it has negative correlation with non-agricultural employment proportion and whether the farmer is village cadre.In the model of the probability of farmers'successfully adopting new technologies,occupation,agricultural loan,planting area,gender and educational level are positively correlated,while age and non-agricultural employment proportion are negatively correlated.Largescale flow of rural labor plays a negative role in popularization of technologies in rural areas through influencing factors,including number of family labor,non-agricultural employment proportion,educational level,gender,and whether the farmer is village cadre.Finally,on the basis of results of empirical study,we put forward countermeasures and suggestions for strengthening ability of farmers to adopt new technologies.展开更多
Adoption of certified and improved high-yielding crop varieties is important avenue for increasing agricultural productivity and improving the living standard of the farmers in developing countries. The main objective...Adoption of certified and improved high-yielding crop varieties is important avenue for increasing agricultural productivity and improving the living standard of the farmers in developing countries. The main objective of the current study was to examine factors affecting adoption of improved rice varieties by smallholder farmers in Northern Sindh, Pakistan. The random sampling technique was used to collect data from 220 smallholder rice farmers through the face to face interview. Data were analyzed using descriptive statistics and probit regression model. The empirical results showed that year of education(P ≤ 0.093), farming experience(P ≤ 0.043), soil quality(P ≤ 0.077), farm machinery ownership(P ≤ 0.000), access to market information(P ≤ 0.055) and contact with extension agents(P ≤ 0.006) had significantly positive influence on adoption of improved rice variety, while age(P ≤ 0.053) had significantly negative effect.展开更多
Purpose: In order to explain and predict the adoption of personal cloud storage, this study explores the critical factors involved in the adoption of personal cloud storage and empirically validates their relationshi...Purpose: In order to explain and predict the adoption of personal cloud storage, this study explores the critical factors involved in the adoption of personal cloud storage and empirically validates their relationships to a user's intentions.Design/methodology/approach: Based on technology acceptance model(TAM), network externality, trust, and an interview survey, this study proposes a personal cloud storage adoption model. We conducted an empirical analysis by structural equation modeling based on survey data obtained with a questionnaire.Findings: Among the adoption factors we identified, network externality has the salient influence on a user's adoption intention, followed by perceived usefulness, individual innovation, perceived trust, perceived ease of use, and subjective norms. Cloud storage characteristics are the most important indirect factors, followed by awareness to personal cloud storage and perceived risk. However, although perceived risk is regarded as an important factor by other cloud computing researchers, we found that it has no significant influence. Also, subjective norms have no significant influence on perceived usefulness. This indicates that users are rational when they choose whether to adopt personal cloud storage.Research limitations: This study ignores time and cost factors that might affect a user's intention to adopt personal cloud storage.Practical implications: Our findings might be helpful in designing and developing personal cloud storage products, and helpful to regulators crafting policies.Originality/value: This study is one of the first research efforts that discuss Chinese users' personal cloud storage adoption, which should help to further the understanding of personal cloud adoption behavior among Chinese users.展开更多
Purpose:This paper aims to examine how the adoption decision of the internet banking in North Cyprus would be affected based on the following dimensions;the technology features,the personal characteristics,the social ...Purpose:This paper aims to examine how the adoption decision of the internet banking in North Cyprus would be affected based on the following dimensions;the technology features,the personal characteristics,the social environment and the expected risk.Design/methodology/approach:A self-administered survey was conducted with 291 participants responded to it.The partial least square approach of the structural equation modeling(PLS-SEM)is employed to investigate the direct effects of the proposed factors on the adoption decision.Additionally,the mediation test is used to examine indirect effects.Findings:Results showed that even though the participants appreciated the benefits of the online banking as the perceived usefulness factor exerts the greatest direct effect,they would rather use clear and easy-to-use websites,adding to that their assessments of the usefulness of these services are significantly influenced by the surrounding people’s views and prior experience.This is demonstrated by the total effects of the perceived ease of use and the subjective norm factors,which are greater than the direct effect of the perceived usefulness factor since both of these factors have significant direct and indirect effects mediated by the perceived usefulness factor.The negative impact of the perceived risk factor is weak compared to the previous factors.While the personal innovativeness factor showed the weakest effect among the proposed factors.展开更多
To meet the needs of today’s library users,institutions are developing library mobile apps(LMAs),as their libraries are increasingly intelligent and rely on deep learning.This paper explores the influencing factors a...To meet the needs of today’s library users,institutions are developing library mobile apps(LMAs),as their libraries are increasingly intelligent and rely on deep learning.This paper explores the influencing factors and differences in the perception of LMAs at different time points after a user has downloaded an LMA.A research model was constructed based on the technology acceptance model.A questionnaire was designed and distributed twice to LMA users with an interval of three months to collect dynamic data.The analysis was based on structural equation modeling.The empirical results show that the perceived ease of use,the perceived usefulness,the social influence,and the facilitating conditions affected the users’behavioral intention,but their impacts were different at different times.As the usage time increases,the technology acceptance model is still universal for understanding the user perception of LMA.In addition,two extended variables(social impact and convenience)also affect the user’s behavior intention.User behavior is dynamic and changed over time.This study is important both theoretically and practically,as the results could be used to improve the service quality of LMAs and reduce the loss rate of users.Its findings may help the designers and developers of LMAs to optimize them from the perspective of a user and improve the service experience by providing a deeper understanding of the adoption behavior of information systems by LMA users.展开更多
基金supported by the National Social Science Fund of China(19BGL152)the Sichuan Technology Planning Project,China(2022JDTD0022)the Provincial College Student Innovation and Entrepreneurship Training Program of Sichuan Province,China(S202310626018).
文摘Identifying the factors influencing farmers’adoption of low-carbon technologies(FA)and understanding their impacts are essential for shaping effective agricultural policies amied at emission reduction and carbon sequestration in China.This study employs a meta-analysis of 122 empirical studies,delves into 23 driving factors affecting FA and addresses the inconsistencies present in the existing literature.We systematically examine the effect size,source of heterogeneity,and time-accumulation effect of the driving factors on FA.We find that significant heterogeneity in the factors influencing FA,except for farming experience,sources of heterogeneity from the survey zone,methodology model,technological attributes,report source,financial support,and the sampling year.Additionally,age,farming experience,and adoption cost negatively correlate with FA.In contrast,educational level,health status,technical training,economic and welfare cognition,land contract,soil quality,terrain,information accessibility,demonstration,government promotion,government regulation,government support,agricultural cooperatives member,peer effect,and agricultural income ratio demonstrate a positive correlation.Especially,demonstration and age show a particularly strong correlation.Finally,the effect of demonstration,age,economic and welfare cognition,farming experience,land contract,soil quality,information accessibility,government promotion,and support,as well as agricultural cooperative membership and peer effects on FA,are generally stable but exhibit varying degrees of attenuation over time.The effect of village cadre,family income,farm scale,gender,health status,technical training,and off-farm work on FA show notable temporal shifts and maintain a weak correlation with FA.This study contributes to shaping China’s current low-carbon agriculture policies across various regions.It encourages policymakers to comprehensively consider the stability of key factors,other potential factors,technological attributes,rural socio-economic context,and their interrelations.
文摘Agriculture is one of the priority sectors in Timor-Leste. Introducing new agriculture technology is crucial to enhance agricultural production. Practicing cattle fattening can increase beef cattle body weight and generate income to the beef cattle farmers. As farmers face problems including agricultural production decline, lack of forages and information and weather unfavourable. The study’s purpose was to examine the impact of adoption of cattle fattening technology on farmer households in Atabae administrative post, Bobonaro municipality in Timor-Leste. There were 200 beef cattle farmers households where randomly selected in four villages in Atabae. It consisted of 65 farmers practicing cattle fattening and 135 farmers non-practicing cattle fattening. Face to face interviews used structured questionnaire. Statistical analysis such as t-test and descriptive analysis were used to examine impact adoption of cattle fattening technology by farmers and factor constraints of cattle production and the solutions of it. The results indicated the average value of cattle and profit were significant different from zero and it is associated with practicing of cattle fattening. The average of labour used on cattle activities, the average of cattle sold, and total cost spent on cattle were not significant different from zero. The percentage of farmers said that factors constraints cattle production were shortage of water and forage (53%) and spend time on culture ceremony and lack of capital (33%). The number of farmers said that they collected water from river, feed cattle with sago and forage (55.3%) and cultivated forage (23.4%). This finding contributes information to the farmers, traders, and Timorese government to continue implementing cattle fattening activities as it enhances farmers’ income and developing cattle production.
文摘This study was conducted in Akwa Ibom, Bayelsa and Delta States of the Niger Delta, Nigeria. It examined the level of adoption of aquaculture technologies by Fadama Ⅲ beneficiaries and assessed the differences in adoption levels on sate basis. Five fish farmers were randomly selected on multiple stage bases from 18 Fadama Users' Groups (FUGs) amounting to 90 farmers as the sample size for this study (n=90). Structured questionnaire was used to elicit information from respondents. Data collected were measured using descriptive and adoption Sigma method analysis. Results obtained revealed that of the 12 selected aquaculture based technologies recommended by Fadama Ⅲ, the ratio of adoption skills ranged from 1 high: 7 medium: 5 low. The adoption levels followed a sequence of earthen ponds preparation being the highest, and stocking density techniques being the lowest. The overall adoption level was 4.20 which implied that the aquaculture farmers were categorized as medium adopters using the Sigma method scale. It was recommended that farmers with adoption levels at medium and low ranges should be focused upon with more teaching sessions by community facilitators and that other extension workers should emulate the strategies used by Fadama Ⅲ in developing farmers.
文摘Adoption of recommended technologies as a package is the prelude to increase cocoa productivity per unit area. This is due to the interactive benefits of individual technologies which have been recommended by the Cocoa Research Institute of Ghana (CRIG). However, many surveys among cocoa farmers have reported low adoption of technologies resulting in low productivity of cocoa with an average of 450 kg/ha among small holder cocoa farmers in Ghana. The current study investigates the adoption behavior of some cocoa farmers belonging to some self help farmer associations in the Eastern Region who are being monitored by CRIG since 2011. Primary data was collected from 131 respondents using questionnaires to interview farmers between 2013 and 2015. The results showed that adoption of recommended cocoa technologies as a package was still low. Respondents, however, identified a number of challenges including high cost of inputs, lack of finance and access to credit, high cost of labour and old age as some factors hampering composite adoption of the full CRIG technologies. It is recommended that small-scale cocoa farmers need a sustainable and convenient microfinance that can motivate and help them afford the cost associated with the full package of technologies. Farmers’ savings culture should also be nurtured to enhance their financial capabilities and investment in the cocoa farm.
基金supported by the Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences(CAAS-ASTIP-IAED-2020-06CAAS-ASTIP-IAED-2021-SR-02CAAS-ASTIP-IAED-2021-06)。
文摘China is characterized as ’a large country with many smallholder farmers’ whose participation in modern agriculture is key to the country’s modern agriculture development. Promoting smallholder farmers’ adoption of modern agricultural production technology is one effective way to improve the capabilities of smallholder farmers. This paper aims to explore the impact of Internet use on the adoption of agricultural production technology by smallholder farmers based on a survey of 1 449 smallholders across 14 provinces in China. The results suggest that Internet use can significantly promote technology adoption, with the probability of adopting new crop varieties, water-saving irrigation technology and straw-returning technology increasing by 0.200, 0.157 and 0.155, respectively. Furthermore, the effect of Internet use is found to be heterogeneous with a greater effect on smallholder farmers having low education levels, limited training, and high incomes. To increase agricultural production technology adoption by smallholders, rural Internet infrastructure and Internet use promotion should be the focus for the Chinese government.
文摘Based on data of 248 rural households in Pucheng County and Huxian County,we established the Two-Level Logit Model to analyze the willingness of farmers to adopt new technologies,its influence factors,and probability of successful adoption of new technologies.Results show that the willingness has positive correlation with whether the farmer is head of household,the educational level,occupation,agricultural loan,the number of family labor,and information dissemination channel,while it has negative correlation with non-agricultural employment proportion and whether the farmer is village cadre.In the model of the probability of farmers'successfully adopting new technologies,occupation,agricultural loan,planting area,gender and educational level are positively correlated,while age and non-agricultural employment proportion are negatively correlated.Largescale flow of rural labor plays a negative role in popularization of technologies in rural areas through influencing factors,including number of family labor,non-agricultural employment proportion,educational level,gender,and whether the farmer is village cadre.Finally,on the basis of results of empirical study,we put forward countermeasures and suggestions for strengthening ability of farmers to adopt new technologies.
基金the College of Economics, Sichuan Agricultural University, Chengdu, China for its financial and moral support
文摘Adoption of certified and improved high-yielding crop varieties is important avenue for increasing agricultural productivity and improving the living standard of the farmers in developing countries. The main objective of the current study was to examine factors affecting adoption of improved rice varieties by smallholder farmers in Northern Sindh, Pakistan. The random sampling technique was used to collect data from 220 smallholder rice farmers through the face to face interview. Data were analyzed using descriptive statistics and probit regression model. The empirical results showed that year of education(P ≤ 0.093), farming experience(P ≤ 0.043), soil quality(P ≤ 0.077), farm machinery ownership(P ≤ 0.000), access to market information(P ≤ 0.055) and contact with extension agents(P ≤ 0.006) had significantly positive influence on adoption of improved rice variety, while age(P ≤ 0.053) had significantly negative effect.
基金supported by Social Science Fund of Hebei Province (Grant No.:HB15TQ019)
文摘Purpose: In order to explain and predict the adoption of personal cloud storage, this study explores the critical factors involved in the adoption of personal cloud storage and empirically validates their relationships to a user's intentions.Design/methodology/approach: Based on technology acceptance model(TAM), network externality, trust, and an interview survey, this study proposes a personal cloud storage adoption model. We conducted an empirical analysis by structural equation modeling based on survey data obtained with a questionnaire.Findings: Among the adoption factors we identified, network externality has the salient influence on a user's adoption intention, followed by perceived usefulness, individual innovation, perceived trust, perceived ease of use, and subjective norms. Cloud storage characteristics are the most important indirect factors, followed by awareness to personal cloud storage and perceived risk. However, although perceived risk is regarded as an important factor by other cloud computing researchers, we found that it has no significant influence. Also, subjective norms have no significant influence on perceived usefulness. This indicates that users are rational when they choose whether to adopt personal cloud storage.Research limitations: This study ignores time and cost factors that might affect a user's intention to adopt personal cloud storage.Practical implications: Our findings might be helpful in designing and developing personal cloud storage products, and helpful to regulators crafting policies.Originality/value: This study is one of the first research efforts that discuss Chinese users' personal cloud storage adoption, which should help to further the understanding of personal cloud adoption behavior among Chinese users.
文摘Purpose:This paper aims to examine how the adoption decision of the internet banking in North Cyprus would be affected based on the following dimensions;the technology features,the personal characteristics,the social environment and the expected risk.Design/methodology/approach:A self-administered survey was conducted with 291 participants responded to it.The partial least square approach of the structural equation modeling(PLS-SEM)is employed to investigate the direct effects of the proposed factors on the adoption decision.Additionally,the mediation test is used to examine indirect effects.Findings:Results showed that even though the participants appreciated the benefits of the online banking as the perceived usefulness factor exerts the greatest direct effect,they would rather use clear and easy-to-use websites,adding to that their assessments of the usefulness of these services are significantly influenced by the surrounding people’s views and prior experience.This is demonstrated by the total effects of the perceived ease of use and the subjective norm factors,which are greater than the direct effect of the perceived usefulness factor since both of these factors have significant direct and indirect effects mediated by the perceived usefulness factor.The negative impact of the perceived risk factor is weak compared to the previous factors.While the personal innovativeness factor showed the weakest effect among the proposed factors.
文摘To meet the needs of today’s library users,institutions are developing library mobile apps(LMAs),as their libraries are increasingly intelligent and rely on deep learning.This paper explores the influencing factors and differences in the perception of LMAs at different time points after a user has downloaded an LMA.A research model was constructed based on the technology acceptance model.A questionnaire was designed and distributed twice to LMA users with an interval of three months to collect dynamic data.The analysis was based on structural equation modeling.The empirical results show that the perceived ease of use,the perceived usefulness,the social influence,and the facilitating conditions affected the users’behavioral intention,but their impacts were different at different times.As the usage time increases,the technology acceptance model is still universal for understanding the user perception of LMA.In addition,two extended variables(social impact and convenience)also affect the user’s behavior intention.User behavior is dynamic and changed over time.This study is important both theoretically and practically,as the results could be used to improve the service quality of LMAs and reduce the loss rate of users.Its findings may help the designers and developers of LMAs to optimize them from the perspective of a user and improve the service experience by providing a deeper understanding of the adoption behavior of information systems by LMA users.