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2.
Green manure cover crops (GMCCs) planting has a potential for mitigating greenhouse gas emissions (GHG) in agroecosystems and provides important ecosystem services, thereby achieving the Sustainable Development Goals (SDGs) stipulated by the United Nations. However, the advantages of cultivating GMCCs on arable land are not widely recognized. For example, in the whole of China, the GMCCs planting area is less than 3.5% of total arable land. The aim of this study is to explore reasons for the low adoption rate of GMCCs planting. Using best–worst scaling (BWS) approach, farmers ranked their preferred conservation practices including three types of GMCC cropping systems. Taking Gansu Province in Northwest China as a case study, a survey with 276 farmers was conducted. The findings indicated that three factors are related to the low adoption rate of GMCCs: 1) farmers preferred improving farmland irrigation facilities and substituting chemical fertilizers with organic rather than planting GMCCs; 2) lack of awareness and understanding of government policy on GMCCs and limited access to training courses; 3) financial support and subsidies from the government are insufficient. This study provides insights and strategic implications for policymakers on how to further promote GMCCs in the future.  相似文献   

3.
Social networks play a significant role in learning and thus in farmers’ adoption of new agricultural technologies. This study examined the effects of social network factors on information acquisition and adoption of new seed varieties among groundnut farmers in Uganda and Kenya. The data were generated through face-to-face interviews from a random sample of 461 farmers, 232 in Uganda and 229 in Kenya. To assess these effects two alternative econometric models were used: a seemingly unrelated bivariate probit (SUBP) model and a recursive bivariate probit (RBP) model. The statistical evaluation of the SUBP shows that information acquisition and adoption decisions are interrelated while tests for the RBP do not support this latter model. Therefore, the analysis is based on the results obtained from the SUBP. These results reveal that social network factors, particularly weak ties with external support (e.g., researchers, extension agents, etc.), partially influence information acquisition, but do not influence adoption. In Uganda, external support, gender, farm size, and geographic location have an impact on information acquisition. In Kenya, external support and geographic location also have an impact on information acquisition. With regard to adoption, gender, household size, and geographic location play the most important roles for Ugandan farmers, while in Kenya information from external sources, education, and farm size affect adoption choice. The study provides insight on the importance of external weak ties in groundnut farming, and a need to understand regional differences along gender lines while developing agricultural strategies. This study further illustrates the importance of farmer participation in applied technology research and the impact of social interactions among farmers and external agents.  相似文献   

4.
[目的]深入了解广东省江门地区农户对新技术采用行为的主要影响因素,探索未来江门地区乃至广东省新技术推广工作的努力方向.[方法]以水稻“三控”施肥技术为例,以江门地区404个农户的调查数据为依据,通过Logistic回归模型对农户技术采用行为的影响因素进行定量分析.[结果]在广东省江门地区农户新技术采用行为影响因素中,技术接受难易程度、采用“三控”技术比传统种植的增产量、参加农技培训班次数、培训班对农户帮助情况与农户采用新技术的意愿呈显著正相关,尤其是技术接受难易程度、采用“三控”技术比传统种植的增产量与农户采用新技术的意愿达到了极显著水平,男性在新技术采用中起着决策的主导力量.[建议]应创新技术培训内容和方式、加强示范展示基地建设、加快农民专业合作社发展、加强政府引导和支持力度,以提高农民新技术采用率,促进农业新技术的推广.  相似文献   

5.
为了解农户绿色生产技术采用行为,推动农业可持续发展与农民增收.基于武陵山茶叶主产区634个农户调研数据,通过构建Heckman样本选择模型分析农户绿色生产技术采用行为的影响因素,并运用分位数回归模型进一步探讨技术采用行为对农户不同茶叶收入水平的影响及差异.结果表明:1)农户对品种改良、土壤改良与生物农药单项技术的采用率...  相似文献   

6.
以山东省227户农户调查数据为依据,通过分组对比,分析不同类型农户耕地保护政策认知差异及其影响因素.结果表明:(1)不同类型农户对耕地数量变化的认知存在差异,但农户总体认为近年来耕地数量有所减少,减少的耕地主要作为建设用地使用;(2)农户对耕地价值及相关耕地保护政策的认知水平普遍较低,且不同类型农户对同一政策以及同一类型农户对不同政策的认知情况存在显著差异;(3)不同类型农户对于耕地保护的意愿均较高;(4)农户对耕地保护的认知差异受到农户的年龄、受教育程度及年限、家庭收入、信息获取途径以及宣传等多重因素的影响.研究认为当农户明确自身的主体地位,且其自身对耕地保护政策的认知程度与耕地保护政策目标相一致时,农户对于耕地保护的自觉性与积极性便会得到充分激发,从而实现耕地资源持续高效利用.  相似文献   

7.
Adoption of precision agriculture technologies by German crop farmers   总被引：1，自引：0，他引：1  
In recent years, precision farming has been receiving more attention from researchers. Precision farming, which provides a holistic system approach, helps farmers to manage the spatial and temporal crop and soil variability within a field in order to increase profitability, optimize yield and quality, and reduce costs. There has been considerable research in farmers’ adoption of precision agriculture technologies. However, most recent studies have considered only a few aspects, whereas in this study a wide range of farm characteristics and farmer demographics are tested to gain insight into the relevant aspects of adoption of precision farming in German crop farming. The results of a logistic regression analysis show that predictors with positive influence on the adoption of precision farming are agricultural contractor services such as an additional farming business, having under 5 years’ experience in crop farming, having between 16 and 20 years’ experience in crop farming, and having more than 500 ha of arable land. However, having a farm of less than 100 ha and producing barley are factors that exert a negative influence on the adoption of precision farming. The results of this study provide manifold starting points for the further proliferation of precision agriculture technologies and future research directions.  相似文献   

8.
Young  Douglas L.  Kwon  T. J.  Smith  E. G.  Young  F. L. 《Precision Agriculture》2003,4(2):227-238
A user-friendly computerized agricultural herbicide decision model has been developed for selecting profitable site-specific herbicide applications in winter wheat. The model is based on 6 years of field research in southeastern Washington State, USA. The model calibrates herbicide applications to management unit weed densities, soil organic matter, soil moisture, and preceding management, as well as to expected input and output prices. The model increased broadleaf herbicide rates by an average 0.65 of label rates compared to the recommendations by farmers and weed science professionals, but cut the more expensive grass herbicides by an average 0.56 of label rates. The model increased average projected profitability, excluding model application costs, by 65% compared to four other criteria for determining application rates. The profitability increase relative to local farmers was 19%. Both the model and the cooperating farmers properly chose to use no grass herbicides on the study sites, but the weed science experts chose to use up to 1.0 of label rates. The estimated payoff from using the model substantially exceeded the cost of weed scouting and other information collection. Determining economically optimal sampling and management units is an important challenge for the adoption of precision agriculture models like the one developed in this study.  相似文献   

9.
In an attempt to identify solutions to the effects of erratic rainfall patterns and droughts that limit agricultural production growth, the Rwandan government has recently increased investments in irrigation development. In this study, we analyze the adoption of small-scale irrigation technologies (SSITs) and its impact on land productivity using cross-sectional data from a sample of 360 farmers in Rwanda. The study uses the propensity score matching technique to address potential self-selection bias. Our results reveal that adoption decisions are significantly influenced by factors such as education, farm size, group membership, gender, extension services, access to credit, access to weather forecast information, risk perceptions, access to a reliable source of water for irrigation, awareness of rainwater harvesting techniques, and awareness of subsidy programs. In addition, the results show that the adoption of SSITs has a significantly positive impact on land productivity. The study concludes with policy implications that highlight the need to promote the adoption of SSITs among farmers as a strategy to improve agricultural productivity and food security in Rwanda.  相似文献   

10.
Farmers in Pakistan continue to produce maize under various types of risks and adopt several strategies to manage those risks. This study is the first attempt to investigate the factors affecting the concurrent adoption of off-farm income diversification and agricultural credit which the farmers use to manage the risk to maize production. We apply bivariate and multinomial probit approaches to the primary data collected from four districts of Punjab Province in Pakistan. The results show that strong correlations exist between the off-farm diversification and agricultural credit which indicates that the use of one risk management strategy leads to another. The findings demonstrate that education, livestock number, maize farming experience, perceptions of biological risks and risk-averse nature of the growers significantly encourage the adoption of diversification as a risk management tool while farm size inversely affects the adoption of diversification. Similarly, in the adoption equation of credit, maize farming experience, farm size, perceptions of price and biological risks and risk attitude of farmers significantly enhance the chances of adopting agricultural credit to manage farm risks. These findings are important for the relevant stakeholders who seek to offer carefully designed risk minimizing options to the maize farmers.  相似文献   

11.
The timing of technology adoption is influenced by profitability and farmer ability to bear risk. Innovators are typically more risk tolerant than laggards. Understanding the factors influencing early adoption of precision agriculture (PA) technologies by cotton farmers is important for anticipating technology diffusion over time. The factors influencing the timing of grid soil sampling (GSS), yield monitoring (YMR) and remote sensing (RMS) adoption by cotton producers was evaluated using multivariate censored regression. Data for cotton farmers in 12 states were obtained from a survey conducted in 2009. The factors hypothesized to influence the timing of adoption included farm characteristics, operator characteristics, PA information sources, adoption of other PA technologies, and farm location. The results suggest that different factors influenced when cotton farmers adopted GSS, YMR and RMS after these technologies became commercially available. For example, land ownership was associated with the timing of GSS adoption, but not YMR or RMS adoption; farmer age was correlated with the timing of GSS and YMR adoption, but not RMS adoption; and obtaining PA information from consultants affected the timing of GSS and RMS adoption, but not YMR adoption. The only factors correlated with the early adoption of all three technologies were beliefs that PA would improve environmental quality and the adoption of at least one other PA technology. Thus, the potential for improved environmental quality appears to be a strong adoption motivator across PA technologies, as is the earlier adoption of other PA technologies. This research may be useful for farmers, researchers, Extension personnel, machinery manufacturers, PA information providers and agricultural retailers to anticipate the future adoption of new and emerging PA technologies.  相似文献   

12.
韩洪云  杨增旭 《中国农业科学》2011,44(23):4962-4970
 【目的】研究农户逐步采纳测土配方施肥技术行为的技术效果及其影响因素。【方法】利用实地调研数据,采用T检验和Bivariate Probit计量模型进行实证研究。【结果】样本地区农户“未采纳”、“部分采纳”和“完全采纳”测土配方施肥技术行为在技术效果上存在显著差异。地块特征、技术指导对农户“部分采纳”测土配方施肥技术的行为呈显著正相关;农户的年龄对农户“完全采纳”该技术呈显著负相关;而农业收入比重、农户的耕地面积、施肥观念、技术理解能力、技术指导、技术获得对农户“完全采纳”该技术的行为呈显著正相关。【结论】农户采纳测土配方施肥技术具有显著的增收效应。农户耕地采用平均分地的分配方式、与农技人员联系不方便会导致农户“未采纳”测土配方施肥技术;而农户的年龄偏高、农业收入比重相对较低、耕地面积相对较小、具有传统施肥观念、未能全面理解测土配方施肥技术和缺失配方卡是农户“部分采纳”该技术的重要原因。  相似文献   

13.
为探讨认知因素在农户农业节水行为形成过程中发挥的作用,基于保护动机理论和行为变化的跨理论模型分析框架,运用广义有序logit回归模型实证分析了农户认知因素对节水技术采纳行为的影响。结果表明:1)农户认知对农业节水技术采纳行为意向具有统计显著影响。高感知严重性、感知脆弱性、自我效能和反应效能将导致更高水平的农业节水技术行为意向;回报因子和反应成本对农户节水技术采纳行为意向具有显著负向影响。2)农户所处的行为阶段不同,各认知因素对农业节水技术采用决策的影响存在异质性,对于处于预思考阶段农户,保护动机模型变量均是影响其行为意向的激励因素;对于处于沉思阶段的农户,感知脆弱性、自我效能和反应成本是影响其行为意向的主要动机;处于准备阶段的农户受感知脆弱性、回报因子和反应效能的影响较大;而对于处于行动阶段的农户,感知严重性、感知脆弱性、反应成本和回报因子是促使其持续采用农业节水技术的关键预测因子。因此,政府应根据农户不同的意愿行为阶段制定针对性、差别化的激励策略,从而促进农户农业节水技术采纳行为意向。  相似文献   

14.
利用2010年新疆阿瓦提县农民收入情况的调查数据,运用主成分回归建立了统计模型,得出了影响农民增收因素的综合排序。研究结果表明:家庭经营收入、农民户均耕地面积、农民家庭生活消费支出、家庭经营费用支出、农户户均政策补贴收入、农民非农活动收入、户均受教育年限这7个变量对农民增收有正向作用;棉花价格、棉花单位面积产量和非农活动人数这3个变量对农民增收起负向作用。最后实证分析了影响阿瓦提县农民增收的关键因素,并提出了相应的对策与建议。  相似文献   

15.
【目的】探讨农户对不同稻作方式的采用行为及影响因素,为稻作方式的发展及推广工作提供科学依据。【方法】基于实地调研数据,运用Multinomial Logistic模型对农户采用直播稻、机插稻和手栽稻的行为结果及影响因素进行实证分析。【结果】稻作方式的省工特性对农户采用直播稻和机插稻均有显著影响;稻作方式信息可获得性对农户采用机插稻有显著影响;稻作方式的生产性投入与农户采用直播稻呈负相关;水稻种植面积与农户采用直播稻呈负相关,与农户采用机插稻呈正相关;农户兼业性与其采用直播稻和机插稻呈正相关。【结论】稻作方式的劳动投入量是影响农户采用行为的关键因素;农户的兼业性促进了其对轻简稻作方式的采用;生产性投入低是农户采用直播稻的重要原因。推进水稻规模经营、为农户提供方便有效的技术信息可促进机插稻的发展。  相似文献   

16.
《农业科学学报》2023,22(6):1928-1944
Based on the microdata of 705 wheat farmers in the Loess Plateau, this study empirically analyzes the impact of uncertainty on farmers’ adoption of innovative seeds using a field experiment. The results indicate that farmers are generally ambiguity-averse and risk-averse. In addition, farmers with higher ambiguity aversion and risk aversion are less likely to adopt innovative wheat seeds, where their risk aversion plays a dominant role. Enhancing information access will alleviate the negative influence of ambiguity aversion on farmers’ adoption of innovative seeds, and interlinked insurance and credit contracts will be beneficial to ease the adverse effect of risk aversion on the adoption of innovative wheat seeds. Meanwhile, heterogeneity analysis reveals that the inhibitory effects of ambiguity aversion and risk aversion on innovative seed adoption are more significant among farmers with lower education and household income. The government can establish both ex-ante and ex-post relevant guarantee mechanisms to help farmers preferably cope with various uncertainties in the production process, remitting farmers’ ambiguity aversion and risk aversion to enhance new agricultural technology adoption rates.  相似文献   

17.
The primary purpose was to investigate the effect of the Environment Friendly Agricultural Land Protection(EFALP) program initiated in 2006.More specifically,the study objectives were to determine the adoption levels of environmentally friendly practices,the extension activities being performed in the region,and to analyse the factors influencing the adoption of the program.Respondents were selected by drawing two stratified samples based on farm size.Cross tabulation and chisquare tests of independence were used to achieve the first objective of the study.Focus-group interviews were conducted for the second objective,and finally,a binary logistic-regression model was applied for the third objective.The findings showed that the adopter farmers used land protection measures extensively relative to the non-adopters,and the Ministry of Food,Agriculture,and Livestock of Turkey,provides useful extension services in the region.Farm size,irrigated land,income level,specialization area,cooperative membership,and travel frequency to large cities influence the adoption of the EFALP program.The conclusion is that the promoted program significantly influenced the protection of the land and other natural resources,and therefore,the regions implementing programs of this type must be extended to other environmentally sensitive areas of the country.  相似文献   

18.
积极推广和采用节水灌溉技术是实现西部干旱半干旱地区农业可持续发展的有效途径。利用甘肃省张掖市甘州区农户的实地调查资料,采用Probit模型,分析同质性关系与异质性关系的技术采用效应,探讨同质性关系与异质性关系影响农户技术采用的内在机理。结果表明,有80.9%的农户已采用节水灌溉技术,19.1%的农户尚未采用;在采用节水灌溉技术中,有67.8%的农户选择使用低压管灌,21.1%的农户采用滴灌技术,喷灌、微灌、渗灌技术的采用率相对较少。社会网络对农户节水灌溉技术采用具有显著正向影响,但同质性关系与异质性关系对技术采用的影响存在差异,与同质性关系相比,异质性关系对农户节水灌溉技术采用的影响更为显著;户主年龄、家庭规模、非农就业比率、合作社参与情况、政府推广等显著影响农户节水灌溉技术采用。研究表明,加强与异质人群的交往有助于提高农户节水灌溉技术采用率。因此,提出了培育与建立农户异质关系网络;积极发展农村专业合作组织;加大对农技推广工作的政策支持和资金投入等建议。  相似文献   

19.
In this study we assess the economic profitability of implementing various precision farming (PF) technologies and controlled traffic farming (CTF) on 4 main crops in Denmark. The study provides insight into technological requirements, and identifies related costs and benefits to farmers and the Danish society as a whole. At the farm level, the findings from the study indicate that an implementation of CTF systems may have a significant impact on fuel savings due to a reduced overlap with auto guidance systems and easier movement with tractors and tools in the field. The PF site-specific weed management approach may facilitate large savings in the use of herbicides. At the national level, the results clearly show that the benefits to the Danish economy of adopting this new technology is positive with increased income to farmers and a reduction in fuel consumption and pesticides/herbicides use. The obtained results reflect the long term economic effect of implementing new production methods in Denmark where soil fertility increases over time due to reduced traffic increasing yields. Over all, the Danish GDP is estimated to increase by 34?million?? due to the implementation of PF and CTF on larger farms in Denmark. The results also clearly show that adoption of PF and CTF farming systems will benefit the environment. The agricultural sectors input of environmental harmful inputs are reduced in all scenarios presented in this paper. The adoption of PF and CTF systems should thus be of interest to politicians since it clearly facilitates aims of environmental policies currently under implementation by the Danish government.  相似文献   

20.

Drones are one of the latest tools to have been added to farmers’ precision agriculture technology tool kit. Despite the proclaimed benefits, adoption rates of drones are low and literature regarding the adoption of drones in agriculture is scarce. Therefore, this study investigates whether an extended Technology Acceptance Model (TAM) can contribute to the understanding of latent factors influencing farmers’ intention to adopt a drone. The sample of 167 German farmers was collected in 2019 via an online survey. Using partial least squares structural equation modelling and a binary model, the TAM explains 69% of the variance in the intention to use a drone by German farmers. According to the results, raising farmers’ awareness of farm-specific areas of drone application and the confidence level of using a drone can increase farmers’ intention to adopt a drone. The results are of interest for agribusinesses developing drones as well as selling or providing drones. Furthermore, the results are of interest for researchers in precision agriculture technologies.

  相似文献   

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