scholarly journals Investigating the leading drivers of organic farming: A survival analysis

2022 ◽  
Vol 52 (7) ◽  
Author(s):  
Muhammad Waqar Akram ◽  
Nida Akram ◽  
Wang hongshu ◽  
Shahla Andleeb ◽  
Khalil ur Rehman ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Organic Farming ◽  
Organic Agriculture ◽  
Crop Production ◽  
Multiple Criteria Decision Making ◽  
Developed Countries ◽  
Agricultural Policies ◽  
Analytic Hierarchy ◽  
Environmentally Sound ◽  
Hierarchy Process

ABSTRACT: This research evaluated farmers’ decisions to adopt organic farming. It was first introduced by developed countries to minimize environmental impacts originated by intensive use of synthetic fertilizers and pesticides to enhance production yield. Although, organic farming offers environmentally sound methodologies for crop production, but Asian farmers are reluctant to adopt organic farming. In this study, a survival analysis (SA) was employed to determine the reasons for and the time is taken by farmers to adopt organic agriculture. This research studied the farmers’ goals, agricultural policies, and attitude towards risk, as covariates in the survival analysis. A multiple criteria decision-making method based on the Analytic Hierarchy Process was used to evaluate the farmers’ goals. Data were collected from agricultural farms located in three districts in Punjab, Pakistan. A questionnaire was used to collect empirical evidence. This study reported that the farmers’ goals were crucial to their acceptance of organic farming; furthermore, young farmers and farmers with risk-inclined attitudes were more prone to adopting organic farming. The study also determined that change in policy and introduce special package for organic agriculture can encouraged the adoption of organic methods.

EVALUATION OF THE EFFECTIVENESS OF THE DEVELOPMENT OF ORGANIC CROP PRODUCTION

2020 ◽  
Vol 10 (5) ◽  
pp. 749-763
Author(s):  
A.V. Shelenok ◽  
Keyword(s):  
Organic Farming ◽  
Organic Agriculture ◽  
Crop Production ◽  
Farming Systems ◽  
Developed Countries ◽  
Agricultural Crops ◽  
Advantages And Disadvantages ◽  
Slow Development ◽  
Organic Products ◽  
The World

The article examines intensive and organic technologies for growing agricultural crops, their impact on the environment, human health, indicates what are the advantages and disadvantages of organic agriculture. It is noted that with intensive technologies for growing agricultural crops, their yield increases, but if the doses of chemicals are not observed, soil fertility is disturbed, the environment is polluted. Devoid of the disadvantages inherent in intensive technologies, organic farming is significantly inferior in productivity to it, due to which it is not able to reach the same production volumes, to ensure a comparable level of domestic consumption, which is demonstrated by traditional farming. The article compares the effectiveness of traditional and organic agronomic farming systems. It is shown that in the case of comparability of yield indicators, traditional technologies at lower selling prices are more effective in terms of profit and profitability indicators. The reasons for the slow development of the organic segment in the agricultural production of Russia are revealed. In this regard, the topic of support for foreign and Russian agricultural producers, including organic products, as well as the underdevelopment of its domestic market is touched upon. It is noted that, in contrast to developed countries, Russia’s share in the world market for organic products is insignificant. Therefore, it is too early to talk about the prospects for the development of organic agriculture in Russia. In the world, organic farming is stimulated, it occupies its own niche, but in all respects it lags far behind the traditional method of growing agricultural products. Its share in the world food market ranges from 2.6 to 3%.

scholarly journals Identifying and Prioritizing Educational Needs of Female Adolescents in Relation to Healthy Eating Based on Analytic Hierarchy Process Model

2016 ◽  
Vol 9 (2) ◽  
pp. 223 ◽  
Author(s):  
Saeed Mazloomi Mahmoodabad ◽  
Akram Mehrabbeyk ◽  
Hassan Mozaffari-Khosravi ◽  
Hossein Fallahzadeh
Keyword(s):  
Fast Food ◽  
Process Model ◽  
Eating Habits ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Female Adolescents ◽  
Analytic Hierarchy ◽  
Eating Breakfast ◽  
Eating Fast ◽  
Hierarchy Process

<p>In order to better plan health based interventions, educators and health promoters need to make decisions in this regard. In the meantime, it should be noted that, multiple criteria decision making methods with theoretical roots and accuracy of forecasting results are less considered.</p><p>The current study is a descriptive research carried out on 15 experts working in Yazd Health Centers using purposeful sampling. In order to identify wrong eating habits of students, Delphi method is used. In the next step, these habits are compared, one by one, and scored with Analytical Hierarchy Process (AHP) Model. In the end, data are analyzed using Expert Choice 11 software.</p><p>Seven major wrong eating habits of female adolescents are identified: junk food consumption, drinking soda and sweet drinks, eating fast food, deleting main meals, improper diets, low intake of vegetables, and not eating breakfast. Among these, low intake of vegetables, eating fast food, and not eating breakfast, with weight rate of 32.4%, 19.4% and 19.3%, are specified as the first three priorities of education.</p><p>In various fields of education and health promotion, including prioritizing training needs, employing techniques with potentials of assessing multiple criteria at the same time can be highly efficient. </p>

Fuzzy multi-criteria decision-making: An entropy-based approach to assess tourism sustainability

2019 ◽  
pp. 135481661988520
Author(s):  
Joseph Andria ◽  
Giacomo di Tollo ◽  
Raffaele Pesenti
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Entropy Maximization ◽  
Tourist Destinations ◽  
Hierarchy Process ◽  
Direct Applicability

In this article, we propose a method for ranking tourist destinations and evaluating their performances under a sustainability perspective: a fuzzy multiple criteria decision-making method is applied for determining sustainability performance values and ranking destinations accordingly. We select a set of sustainability evaluation criteria and use a fuzzy analytic hierarchy process to weight the selected criteria. We also optimize each evaluator’s membership function support by means of a fuzzy entropy maximization criteria. A case study is illustrated and results are compared with two data envelopment analysis–based models. The simplicity of the proposed approach along with the easy readability of the results allow its direct applicability for all involved stakeholders.

scholarly journals Multi Criteria Evaluation Framework for Prioritizing Indian Railway Stations Using Modified Rough AHP-Mabac Method

2018 ◽  
Vol 19 (2) ◽  
pp. 113-127 ◽  
Author(s):  
Haresh Kumar Sharma ◽  
Jagannath Roy ◽  
Samarjit Kar ◽  
Olegas Prentkovskis
Keyword(s):  
Multiple Criteria Decision Making ◽  
Evaluation Process ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Railway Stations ◽  
Validity Testing ◽  
Multi Criteria Evaluation ◽  
Criteria Weights ◽  
Indian Railway ◽  
Hierarchy Process

Abstract This study proposes a hybrid multiple criteria decision making (MCDM) methodology for evaluating the performance of the Indian railway stations (IRS). Since the customers are heterogeneous and their requirements are often imprecise, the evaluation process is a critical step for prioritizing the IRS. To improve the existing approaches, an efficient evaluation technique has been proposed by integrating rough numbers, analytic hierarchy process (AHP) and multi-attribute border approximation area comparison (MABAC) methods in rough environment. The relative criteria weights based on their preferences given by experts is determined by rough AHP whereas evaluation of the alternatives based on these criteria are done by the modified rough MABAC method. A case study of prioritizing different railway stations in India is provided to demonstrate the efficiency and applicability of the proposed method. Among different criteria “proactively” is observed to be the most important criteria in our analysis, followed by ‘Railfanning’ and ‘DMO’ is found to be the best among the forty IRS in this study. Finally, a comparative analysis and validity testing of the proposed method are elaborated and the methodology provides a standard to select IRS on the basis of different criteria.

scholarly journals Multicriteria analysis in hazards assessment in Libya

2012 ◽  
Vol 7 (2) ◽  
pp. 59-70
Author(s):  
Martina Zeleňáková ◽  
Ibrahim Gargar ◽  
Pavol Purcz
Keyword(s):  
Risk Assessment ◽  
Multicriteria Analysis ◽  
Pairwise Comparison ◽  
Developed Countries ◽  
Decision Makers ◽  
Risk Level ◽  
Analytic Hierarchy ◽  
The Given ◽  
Hierarchy Process ◽  
Developing And Developed Countries

Abstract Environmental hazards (natural and man-made) have always constituted problem in many developing and developed countries. Many applications proved that these problems could be solved through planning studies and detailed information about these prone areas. Determining time and location and size of the problem are important for decision makers for planning and management activities. It is important to know the risk represented by those hazards and take actions to protect against them. Multicriteria analysis methods - Analytic hierarchy process, Pairwise comparison, Ranking method are used to analyse which is the most dangerous hazard facing Libya country. The multicriteria analysis ends with a more or less stable ranking of the given alternatives and hence a recommendation as to which alternative(s) problems should be preferred. Regarding our problem of environmental risk assessment, the result will be a ranking or categorisation of hazards with regard to their risk level.

Hierarchy the sectorial performance indicators for Brazilian franchises

2015 ◽  
Vol 21 (1) ◽  
pp. 190-204
Author(s):  
Alvaro Luiz Neuenfeldt Júnior ◽  
Julio Cezar Mairesse Siluk ◽  
Marlon Soliman ◽  
Elpídio Oscar Benitez Nara ◽  
Liane Mahlmann Kipper
Keyword(s):  
Performance Indicators ◽  
Multiple Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Measurement Systems ◽  
Scientific Papers ◽  
Performance Measurement Systems ◽  
Hierarchy Process ◽  
Level Of Importance ◽  
Practical Implications

Purpose – The purpose of this paper is to study the level of importance existing among the indicators that were previously defined for a Performance Measurement Systems (PMS) and are relative to franchises in Brazil, using the Analytic Hierarchy Process (AHP) methodology, together with a series of tests, which are responsible by verifying the degree of reliability, robustness and stability of the parameters used and the results obtained. As a result, the author suggests that the diagnosing of the five delimited indicators have different relevance assigned to them. Design/methodology/approach – This paper reviews extant literatures in Franchise, PMS, Multiple Criteria Decision Making (MCDM), in specific the theory about AHP. Findings – The authors found that it was possible justified, for both the relative and the evaluative method, that the I3 was the main point of the system and, as a consequence, be considered as priority when talking about sectorial development of franchises in Brazil. As for the other indicators, even being located in a level lower than I3, they must be taken into contemplation in these measurements, however, with a relatively inferior importance degree. Practical implications – It was possible to better comprehend which economics and non-economic factors selected have a more predominance in the Brazilian franchise context, according to characteristics of the companies present. Originality/value – The absence of scientific papers that describe the relevance level of the main factors that influence in the Brazilian franchise system.

The Analysis of Barriers of Development of China's Construction Industry BIM

2013 ◽  
Vol 838-841 ◽  
pp. 3119-3122 ◽  
Author(s):  
Su Xian Zhang ◽  
Yin Ru Hu
Keyword(s):  
Analytic Hierarchy Process ◽  
Construction Industry ◽  
Developed Countries ◽  
Building Industry ◽  
Analytic Hierarchy ◽  
Hierarchy Process

BIM is urgently needed by Chinas building industry to meet its opportunities and challenges. However, compared with developed countries, the progress of BIM development in adoption and identify key barriers which strongly impact the BIM adoption so as to propose corresponding measures to remove the key barriers. A survey about barriers impact was carried out among Chinese construction practitioners. By using AHP(Analytic Hierarchy Process),41 barriers of BIM in Building Industry of china were identified. In the last part of the thesis, a roadmap of BIM adoption and application in china was developed based upon the measures and characteristics of barriers of the BIM adoption in China.

Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method

2015 ◽  
Vol 32 (7) ◽  
pp. 763-782 ◽  
Author(s):  
Hu-Chen Liu ◽  
Jian-Xin You ◽  
Xue-Feng Ding ◽  
Qiang Su
Keyword(s):  
Decision Making ◽  
Failure Modes ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Analytic Hierarchy ◽  
Effect Analysis ◽  
Maintenance Strategies ◽  
Content Type ◽  
Safety And Reliability ◽  
Hierarchy Process

Purpose – The purpose of this paper is to develop a new failure mode and effect analysis (FMEA) framework for evaluation, prioritization and improvement of failure modes. Design/methodology/approach – A hybrid multiple criteria decision-making method combining VIKOR, decision-making trial and evaluation laboratory (DEMATEL) and analytic hierarchy process (AHP) is used to rank the risk of the failure modes identified in FMEA. The modified VIKOR method is employed to determine the effects of failure modes on together. Then the DEMATEL technique is used to construct the influential relation map among the failure modes and causes of failures. Finally, the AHP approach based on the DEMATEL is utilized to obtain the influential weights and give the prioritization levels for the failure modes. Findings – A case study of diesel engine’s turbocharger system is provided to illustrate the potential application and benefits of the proposed FMEA approach. Results show that the new risk priority model can be effective in helping analysts find the high risky failure modes and create suitable maintenance strategies. Practical implications – The proposed FMEA can overcome the shortcomings and improve the effectiveness of the traditional FMEA. Particularly, the dependence and interactions between different failure modes and effects have been addressed by the new failure analysis method. Originality/value – This paper presents a systemic analytical model for FMEA. It is able to capture the complex interrelationships among various failure modes and effects and provide guidance to analysts by setting the suitable maintenance strategies to improve the safety and reliability of complex systems.

scholarly journals COMPARISON OF DIFFERENT FUZZY AHP METHODOLOGIES IN RISK ASSESSMENT

2017 ◽  
Vol 2 ◽  
pp. 137 ◽  
Author(s):  
Andrejs Radionovs ◽  
Oleg Uzhga-Rebrov
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Environmental Risks ◽  
Assessment Process ◽  
Analytic Hierarchy ◽  
Risk Assessment Process ◽  
Risks Assessment ◽  
Hierarchy Process

Being able to evaluate risks is an important task in many areas of human activity: economics, ecology, etc. Usually, environmental risk assessment is carried out on the basis of multiple and sometimes conflicting factors. Using multiple criteria decision-making (MCDM) methodology is one of the possible ways to solve the problem. Methodologies of analytic hierarchy process (AHP) are the most commonly used MCDM methods, which combine subjective and personal preferences in risk assessment process. However, AHP involves human subjectivity, which introduces vagueness type of uncertainty and requires the usage of decision making under those uncertainties. In this paper it was considered to deal with uncertainty by using the fuzzy-based techniques. However, nowadays there exist multiple Fuzzy AHP methodologies developed by different authors. In this paper, these Fuzzy AHP methodologies will be compared, and the most appropriate Fuzzy AHP methodology for the application in case of environmental risks assessment will be offered on the basis of this comparison.

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