scholarly journals Predicting Farmers’ Willingness to Adopt Liquid Pollination and Polycarbonate Drying House Technologies: A Case Study from the Date Palm Growers in the Sultanate of Oman

2018 ◽  
Vol 7 (4) ◽  
pp. 18
Author(s):  
Boubaker Dhehibi ◽  
Mohamed Ben Salah ◽  
Aymen Frija ◽  
Aden Aw-Hassan ◽  
Youssef M. Al Raisi ◽  
...  
Keyword(s):  
Date Palm ◽  
Policy Implications ◽  
Adoption Process ◽  
Sultanate Of Oman ◽  
Study Region ◽  
Factors Affecting ◽  
Adoption Rate ◽  
Extension System ◽  
Adoption And Diffusion ◽  
Adoption Level

The aim of this research paper is to assess the adoption level of the two technologies (liquid pollination and polycarbonate drying houses) in the Sultanate of Oman with emphasis on identifying influencing factors of the adoption process and exploring resulting policy implications. The methodological framework used is based on the implementation of the ADOPT (Adoption and Diffusion Outcome Prediction Tool) tool in two localities of the Sultanate of Oman through focus groups discussion (FGD’s). Empirical findings obtained from the assessment of the Liquid Pollination (LP) technology indicate that peak adoption rate for liquid pollination technology in “North Al Batinah” is high and predicted to be around 95% (of the total population) after a period of 14.5 years. The predicted adoption level after 5 and 10 years from introducing the technology in the region is estimated to be 46.9% and 91.5%, respectively. The assessment of the rate of adoption of the Polycarbonate Drying Houses (PDH) technology and the identification of factors affecting the peak and adoption levels, and constraints that limit the adoption process and widespread of such technology among the date palm growers of Oman indicates that peak adoption rate for PDH technology in the target study region is predicted to be 95% after a period of 21 years. The predicted adoption level after 5 and 10 years is expected to be 23.5% and 72.9%, respectively. The presented results suggest that sustainable increase in date palm productivity can be achieved if farmers are encouraged to adopt the LP and PDH technologies. However, the adoption of such technology needs to be accompanied by a supporting extension system and an enabling policy environment to ensure the scaling-up and widespread use of these promising and profitable technologies.

scholarly journals Modeling the adoption of a garlic variety (Allium sativum L.) in Mexico through survival analysis

2021 ◽  
Vol 53 (2) ◽  
pp. 178-192
Author(s):  
Blanca Isabel Sánchez-Toledano ◽  
Venancio Cuevas-Reyes ◽  
Oscar Palmeros Rojas ◽  
Mercedes Borja-Bravo
Keyword(s):  
Survival Analysis ◽  
New Technologies ◽  
Adoption Process ◽  
Agricultural Technologies ◽  
Factors Affecting ◽  
Educational Backgrounds ◽  
Extension System ◽  
Marketable Surplus ◽  
College Educated

The objective of this research was to analyze the adoption behavior over time for the improved variety of garlic CEZAC 06, and the factors associated with the adoption process through survival analysis (SA), in North-Central Mexico.  The data comes at farm level and was collected in 2019 through a questionnaire given to 40 garlic farmers in Zacatecas, Mexico.  The results show that 62.5 % of the farmers who adopted CEZAC 06 carried out this process in the first two years after they were first introduced to it.  The factors that played a role in the adoption process were: farmer age, how long the farmer had been in business for, number of hectares availables for garlic production, yield, number of college-educated family members, income from crop farming, income from garlic farming, agriculture-related courses taken, financial aid from the federal government, and being part of any type of organization.  Improving yield and the quality of the garlic bulb requires an adequate extension system that allows farmers to receive updated and reliable information on the importance of technological innovation. Highlights The analysis also suggested that new technologies should be transmitted at higher rates to increase adoption. This can be done by implementing courses aimed at farmers with low educational backgrounds, small plots of land and low productivity levels. The factors affecting the adoption process were: farmer age, how long the farmer had been in business, yield, etc. CEZAC 06 will increase yield and rural farmers could improve the quality of the bulb as a marketable surplus. This work contributes to the scarce literature on the application of survival analysis to agricultural technologies.

scholarly journals Green Building Adoption on Office Markets in Europe: An Empirical Investigation into LEED Certification

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1971
Author(s):  
Michal Gluszak ◽  
Agnieszka Malkowska ◽  
Bartłomiej Marona
Keyword(s):  
Generalized Method Of Moments ◽  
Green Building ◽  
Adoption Process ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Adoption Rate ◽  
Dynamic Panel Model ◽  
Leed Certification ◽  
European Cities ◽  
The Impact

The goal of the paper is to evaluate the impact of selected factors on the adoption of LEED (Leadership in Energy and Environmental Design) green building certification in Europe. In the empirical part of the paper we track the fraction of LEED-registered office space in selected European cities, and assess the impact of selected socioeconomic and environmental factors on the certification adoption rate. This research contributes to the ongoing debate about the adoption of green buildings in commercial property markets. In this paper, we investigate factors affecting the adoption of LEED certification using the Arellano and Bond generalized method-of-moments estimator. Compared to prior studies, which relied on cross-sectional data, our research uses a panel approach to investigate the changes in green building adoption rates in selected European cities. Among the cities that are quickly adopting LEED are Frankfurt, Warsaw, Stockholm, and Dublin. The adoption process was not equally fast in Brussels and Copenhagen. Using the dynamic panel model approach, we found that the adoption of green building certification is linked to overall innovativeness in the economy and the perceived greenness of the city. Contrary to some previous studies we did not observe links between the size of the office market and the LEED adoption rate.

scholarly journals Influence of public agricultural extension on technology adoption by small-scale farmers in Zimbabwe

2021 ◽  
Vol 49 (2) ◽  
pp. 25-42
Author(s):  
Masere ◽  
Worth
Keyword(s):  
Technology Adoption ◽  
Relevant Literature ◽  
Appropriate Technology ◽  
Small Scale ◽  
Adoption Process ◽  
Key Factors ◽  
Factors Affecting ◽  
Extension System ◽  
Service Training ◽  
Small Scale Farmers

This paper presents the findings of challenges facing Zimbabwe’s extension services and how these have affected the adoption of technologies they render to small-scale farmers. This study uses a critical review of relevant literature on Zimbabwe’s primary public extension agency (AGRITEX). Additionally, 21 key informant interviews (KIIs) were conducted to corroborate data collected in secondary research on extension approaches currently in use, the key factors affecting technology adoption, and the technology adoption process of small-scale farmers. The study found AGRITEX’s major challenges to be poor funding, poor remuneration and incentives for extension personnel, lack of in-service training, lack of appropriate technology, as well as poor operational resources like transport to reach all farmers. Consequently, services offered to small-scale farmers were compromised, which led to poor adoption of recommended technologies. Furthermore, the study determined that key factors influencing technology adoption are related to the farmers’ circumstances, the operating environment, and the attributes of technology itself. As a lasting solution to poor technology adoption, an adaptive extension system that promotes building the capacity of extension workers and researchers, as well as embracing farmers and their indigenous knowledge, is proposed.

scholarly journals Public reporting of performance measures in long-term care in Canada: does it make a difference?

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Poldrugovac ◽  
J E Amuah ◽  
H Wei-Randall ◽  
P Sidhom ◽  
K Morris ◽  
...  
Keyword(s):  
Performance Measures ◽  
Performance Indicators ◽  
Long Term Care ◽  
Public Reporting ◽  
Policy Implications ◽  
Term Care ◽  
Factors Affecting ◽  
Care Facilities ◽  
The Impact

Abstract Background Evidence of the impact of public reporting of healthcare performance on quality improvement is not yet sufficient to draw conclusions with certainty, despite the important policy implications. This study explored the impact of implementing public reporting of performance indicators of long-term care facilities in Canada. The objective was to analyse whether improvements can be observed in performance measures after publication. Methods We considered 16 performance indicators in long-term care in Canada, 8 of which are publicly reported at a facility level, while the other 8 are privately reported. We analysed data from the Continuing Care Reporting System managed by the Canadian Institute for Health Information and based on information collection with RAI-MDS 2.0 © between the fiscal years 2011 and 2018. A multilevel model was developed to analyse time trends, before and after publication, which started in 2015. The analysis was also stratified by key sample characteristics, such as the facilities' jurisdiction, size, urban or rural location and performance prior to publication. Results Data from 1087 long-term care facilities were included. Among the 8 publicly reported indicators, the trend in the period after publication did not change significantly in 5 cases, improved in 2 cases and worsened in 1 case. Among the 8 privately reported indicators, no change was observed in 7, and worsening in 1 indicator. The stratification of the data suggests that for those indicators that were already improving prior to public reporting, there was either no change in trend or there was a decrease in the rate of improvement after publication. For those indicators that showed a worsening trend prior to public reporting, the contrary was observed. Conclusions Our findings suggest public reporting of performance data can support change. The trends of performance indicators prior to publication appear to have an impact on whether further change will occur after publication. Key messages Public reporting is likely one of the factors affecting change in performance in long-term care facilities. Public reporting of performance measures in long-term care facilities may support improvements in particular in cases where improvement was not observed before publication.

Analysis on application level based on ordinal logistic regression and best of advanced manufacturing technologies (AMT) selection based on fuzzy-TOPSIS integration approach

2021 ◽  
pp. 1-11
Author(s):  
Guilian Wang ◽  
Liyan Zhang ◽  
Jing Guo
Keyword(s):  
Logistic Regression ◽  
Organizational Factors ◽  
Fuzzy Topsis ◽  
Ordinal Logistic Regression ◽  
Industrial Robots ◽  
Policy Implications ◽  
Market Pricing ◽  
Factors Affecting ◽  
Pricing Power ◽  
The Core Competence

This paper try to fully reveal the key factors affecting the the level of AMT application in micro- and small enterprises (MSEs) from its organizational factors by ordinal logistic regression. The results show that MSEs have a relatively high level of AMT application as a whole due to the maturity and cost reduction of basic technologies such as artificial intelligence, digital manufacturing and industrial robots. In this paper we propose manufacturing world analysis at Application using Logistic Regression and best AMT selection using Fuzzy-TOPSIS Integration approach.Considering the influence mechanism of each factor, the important factors that affect the application level of AMT are the enterprise’s market pricing power, the main production types, technical, market and management capabilities, organization development incentives and the interaction with external stakeholders. Based on the results above, the following policy implications are proposed: further expanding the customized production in MSEs to gradually improve the market pricing power, expanding the core competence of enterprises, enhancing the employee autonomy, and strengthening the interaction with industry organizations.

scholarly journals Estimation of Electricity Generation by an Electro-Technical Complex with Photoelectric Panels Using Statistical Methods

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1278
Author(s):  
Anna Turysheva ◽  
Irina Voytyuk ◽  
Daniel Guerra
Keyword(s):  
Random Distribution ◽  
Graphical Representation ◽  
Random Variable ◽  
Climatic Conditions ◽  
Characteristic Energy ◽  
Study Region ◽  
Factors Affecting ◽  
Solar Systems ◽  
The Republic ◽  
Technical Complex

This paper presents a computational tool for estimating energy generated by low-power photovoltaic systems based on the specific conditions of the study region since the characteristic energy equation can be obtained considering the main climatological factors affecting these systems in terms of the symmetry or skewness of the random distribution of the generated energy. Furthermore, this paper is aimed at determining any correlation that exists between meteorological variables with respect to the energy generated by 5-kW solar systems in the specific climatic conditions of the Republic of Cuba. The paper also presents the results of the influence of each climate factor on the distribution symmetry of the generated energy of the solar system. Studying symmetry in statistical models is important because they allow us to establish the degree of symmetry (or skewness), which is the probability distribution of a random variable, without having to make a graphical representation of it. Statistical skewness reports the degree to which observations are distributed evenly and proportionally above and below the center (highest) point of the distribution. In the case when the mentioned distribution is balanced, it is called symmetric.

Factors affecting desired family size in Bangladesh

1994 ◽  
Vol 26 (3) ◽  
pp. 369-375 ◽  
Author(s):  
M. Kabir ◽  
Ruhul Amin ◽  
Ashraf Uddin Ahmed ◽  
Jamir Chowdhury
Keyword(s):  
Regression Analysis ◽  
Family Size ◽  
Contraceptive Use ◽  
Policy Implications ◽  
Work Status ◽  
Factors Affecting ◽  
Rural Bangladesh ◽  
Contraceptive Prevalence ◽  
Using Data ◽  
Desired Family Size

SummaryFactors affecting desired family size in rural Bangladesh are examined using data from contraceptive prevalence surveys conducted between 1983 and 1991. The analysis suggests that mothers having two sons and one daughter are more inclined to perceive their family as complete than those having three sons and no daughter. Logistic regression analysis indicates that important determinants of desire for more children are age of woman, current contraceptive use status, work status, and family planning worker's visit. The policy implications of these findings are discussed.

The Determinants of Vietnam’s Information and Communication Technologies Exports to the European Union

2022 ◽  
pp. 001573252110579
Author(s):  
Phan Thanh Hoan ◽  
Duong Thi Dieu My
Keyword(s):  
European Union ◽  
Information And Communication Technologies ◽  
Gravity Model ◽  
Patent Application ◽  
Communication Technologies ◽  
Policy Implications ◽  
The European Union ◽  
Factors Affecting ◽  
Information And Communication ◽  
The Eu

Vietnam is one of the top information and communication technologies (ICT) exporters globally, and the ICT products constitute nearly one-fifth of Vietnam’s total exports to the European Union (EU). This study empirically investigates the determinants of Vietnam’s ICT exports to the EU by applying the gravity model for trade with panel data from 2000 to 2019. Besides the traditional variables of the gravity model, we added gross capital formation, patent application and exchange rates as explanatory variables. The results show that among factors affecting Vietnam’s ICT export to the EU, market size, patent applications, and exchange rate are the most significant determinants. The article also suggests some policy implications for the development of ICT exports between the two parties. JEL Codes: F14, C2

An Analysis of Factors Affecting Online Shopping of Homemade Foods in Sultanate of Oman

2020 ◽  
Vol 9 (2) ◽  
pp. 56-63
Author(s):  
Kumar , R. Renjith ◽  
Al Brashdi , Hajar Ali Salim ◽  
Al Mughairi , Huria Abdallah Salim ◽  
Al Rawahi , Shamsa Abdullah Mubarak
Keyword(s):  
Online Shopping ◽  
Sultanate Of Oman ◽  
Factors Affecting

Commuter Bicyclist Route Choice: Analysis Using a Stated Preference Survey

2003 ◽  
Vol 1828 (1) ◽  
pp. 107-115 ◽  
Author(s):  
Monique A. Stinson ◽  
Chandra R. Bhat
Keyword(s):  
Travel Time ◽  
Stated Preference ◽  
Empirical Models ◽  
Policy Implications ◽  
Facility Planning ◽  
Quality Factors ◽  
Stated Preference Survey ◽  
Factors Affecting ◽  
Choice Analysis ◽  
Using Data

The importance of factors affecting commuter bicyclists’ route choices was evaluated. Both route-level (e.g., travel time) and link-level (e.g., pavement quality) factors are examined. Empirical models are estimated using data from a stated preference survey conducted via the Internet. The models indicate that, for commuter bicyclists, travel time is the most important factor in choosing a route. Presence of a bicycle facility (especially a bike lane or separate path), the level of automobile traffic, pavement or riding surface quality, and presence of a bicycle facility on a bridge are also very important determinants. Furthermore, there are policy implications of these results for bicycle facility planning.

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