scholarly journals Impact Evaluation of Agriculture Technology Adoption: A Primary Data Analysis

2021 ◽  
Vol 9 (3) ◽  
pp. 328-339
Author(s):  
Muhammad Ali ◽  
Adiqa Kausar Kiani ◽  
Kashif Raza
Keyword(s):  
Technology Adoption ◽  
Significant Role ◽  
Impact Evaluation ◽  
Income Level ◽  
Primary Objective ◽  
Primary Data ◽  
Pooled Data ◽  
Primary Data Analysis ◽  
Income Determination ◽  
Farmer Income

The primary objective of the study is the assessment and impact evaluation of improved and new agriculture technology adoption on farmers’ income level in the region (Faisalabad). There are seven technologies used in the study to assess technology adoption impact. A micro panel primary data (206-07 & 2018-19) has been used. The propensity score is estimated and matched for average treatment effects (ATE) to analyze income effect. The assessment of technology adoption is observed using logistic approach for pooled data. The technology poverty index is used to measure the level of farmer technology adoption rate. The results indicate that these technologies have positive and significant role on farmers’ poverty and income level in the study area. The used improved technologies for the current showed positive and significant role in the farmers’ income determination. These agriculture technologies have an important role in increasing farmer income and welfare in the study area. The study recommends that more incentives to be announced to develop and promote improved technologies for adoption. The provision of these technologies may increase farmers’ income level as well as food security by engaging in other income-generating activities.

Which Data to Meta-Analyze, and How?

2019 ◽  
Vol 227 (1) ◽  
pp. 64-82 ◽  
Author(s):  
Martin Voracek ◽  
Michael Kossmeier ◽  
Ulrich S. Tran
Keyword(s):  
Empirical Research ◽  
Meta Analysis ◽  
Curve Analysis ◽  
Research Progress ◽  
Primary Data ◽  
Statistical Procedures ◽  
Graphical Displays ◽  
Primary Data Analysis ◽  
Meta Analyses ◽  
Data Analytic

Abstract. Which data to analyze, and how, are fundamental questions of all empirical research. As there are always numerous flexibilities in data-analytic decisions (a “garden of forking paths”), this poses perennial problems to all empirical research. Specification-curve analysis and multiverse analysis have recently been proposed as solutions to these issues. Building on the structural analogies between primary data analysis and meta-analysis, we transform and adapt these approaches to the meta-analytic level, in tandem with combinatorial meta-analysis. We explain the rationale of this idea, suggest descriptive and inferential statistical procedures, as well as graphical displays, provide code for meta-analytic practitioners to generate and use these, and present a fully worked real example from digit ratio (2D:4D) research, totaling 1,592 meta-analytic specifications. Specification-curve and multiverse meta-analysis holds promise to resolve conflicting meta-analyses, contested evidence, controversial empirical literatures, and polarized research, and to mitigate the associated detrimental effects of these phenomena on research progress.

University As A Social Entreprise:Modelling Enterprise 3.0 Application In Engineering Curriculum

2014 ◽  
Vol 1 (1) ◽  
pp. 393-398
Author(s):  
Andreas Ahrens ◽  
Olaf Bassus ◽  
Jeļena Zaščerinska
Keyword(s):  
Social Enterprise ◽  
Primary Data ◽  
Engineering Curriculum ◽  
Positive Direction ◽  
Social Agent ◽  
Primary Data Analysis ◽  
The Social ◽  
Technical Expert ◽  
Knowledge And Attitude ◽  
Broad Understanding

AbstractUniversity as a social enterprise has become the dominant response to the challenge of bringing up an engineer as a first-rate technical expert who acts as a social agent, rather than just a technician, with a “broad understanding of the social and philosophical context in which he will work” [3]. Aim of the research is to analyze student engineers' Enterprise 3.0 application in engineering curriculum. The meaning of the key concepts of university as a social enterprise, engineering curriculum and Enterprise 3.0 is studied. Explorative research has been used. The empirical study was conducted at Riga Technical University, Riga, Latvia, in 2011. Descriptive statistics was implemented for primary data analysis. The findings of the research allow drawing the conclusions on the favourable context of Enterprise 3.0 application in engineering curriculum as the student engineers' knowledge and attitude towards Enterprise 3.0 application are positive. Direction of further research are proposed.

LEAD Farmer Based F2F Extension Mode l: Role of Krishi Vigyan Kendras and Technology Adoption Determinants for Enhancing Model’s Effectiveness

2019 ◽  
Vol 6 (04) ◽  
Author(s):  
M S MEENA ◽  
R B KALE ◽  
S K SINGH ◽  
A K SINGH
Keyword(s):  
Technology Adoption ◽  
Significant Role ◽  
Agricultural Production ◽  
Government Support ◽  
Front Line ◽  
Farm Families ◽  
Agricultural Technologies ◽  
Extension System ◽  
Index Value

A study was undertaken in collaboration with eight Krishi Vigyan Kendras (KVKs) and five Learning and Experience based Advisor (LEAD) farmers were selected by each KVK, employing socio-metric technique. Hence, data were solicited from 40 LEAD farmers from eight districts who were trained by KVKs. Role of KVKs were determined based on their Index Value (IV). Study reveals that KVKs played an important role in skill development of LEAD farmers through organisation of need based and skill-oriented trainings (IV=62) followed by front-line demonstrations on location specific agricultural technologies at farmers’ fields (IV=59.42), and developing linkages between LEAD and fellow farmers (IV=58.33). Key determinants accountable for enhancing effectiveness of this model were enhanced technology adoption (IV=60.13) followed by enhanced agricultural production (IV=57.48) and productivity (IV=57.10). Study reveals that one LEAD farmer adopted 5 agricultural technologies from KVKs. Further, fellow farmers adopted 2 agricultural technologies from LEAD farmers. Hence, it was concluded that this approach may play a significant role in complementing Indian public extension system through reducing cost and coverage of more farm families. This model needs community as well as government support for sustainability and its scalability.

scholarly journals Comparison of Selection Signatures between Korean Native and Commercial Chickens Using 600K SNP Array Data

Genes ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 824
Author(s):  
Sunghyun Cho ◽  
Prabuddha Manjula ◽  
Minjun Kim ◽  
Eunjin Cho ◽  
Dooho Lee ◽  
...  
Keyword(s):  
Snp Array ◽  
Initial Step ◽  
Reproductive Organs ◽  
High Linkage Disequilibrium ◽  
Primary Data ◽  
Multiple Traits ◽  
Indigenous Chicken ◽  
Primary Data Analysis ◽  
The Government ◽  
Commercial Chickens

Korean native chickens (KNCs) comprise an indigenous chicken breed of South Korea that was restored through a government project in the 1990s. The KNC population has not been developed well and has mostly been used to maintain purebred populations in the government research institution. We investigated the genetic features of the KNC population in a selection signal study for the efficient improvement of this breed. We used 600K single nucleotide polymorphism data sampled from 191 KNCs (NG, 38; NL, 29; NR, 52; NW, 39; and NY, 33) and 54 commercial chickens (Hy-line Brown, 10; Lohmann Brown, 10; Arbor Acres, 10; Cobb, 12; and Ross, 12). Haplotype phasing was performed using EAGLE software as the initial step for the primary data analysis. Pre-processed data were analyzed to detect selection signals using the ‘rehh’ package in R software. A few common signatures of selection were identified in KNCs. Most quantitative trait locus regions identified as candidate regions were associated with traits related to reproductive organs, eggshell characteristics, immunity, and organ development. Block patterns with high linkage disequilibrium values were observed for LPP, IGF11, LMNB2, ERBB4, GABRB2, NTM, APOO, PLOA1, CNTN1, NTSR1, DEF3, CELF1, and MEF2D genes, among regions with confirmed selection signals. NL and NW lines contained a considerable number of selective sweep regions related to broilers and layers, respectively. We recommend focusing on improving the egg and meat traits of KNC NL and NW lines, respectively, while improving multiple traits for the other lines.

scholarly journals Open Innovation Session as a Tool Supporting Innovativeness in Strategies for High-Tech Companies in the Czech Republic

Economies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 69 ◽  
Author(s):  
Pavla Matulova ◽  
Petra Maresova ◽  
Mohammad Ali Tareq ◽  
Kamil Kuča
Keyword(s):  
Czech Republic ◽  
Open Innovation ◽  
Innovation Process ◽  
Secondary Data ◽  
Primary Objective ◽  
Primary Data ◽  
High Tech ◽  
Regional Government ◽  
The Czech Republic ◽  
General Managers

Open innovation has developed over several decades from a small pool of innovation pioneers, mostly active in high-tech industries, to be widely discussed and implemented in innovation strategy. The primary objective of the Open Innovation Session (OIS) is to create a platform where firms are able to facilitate knowledge transfer. This paper focuses on the contribution of OIS, implemented by regional government, in formulating companies’ strategic management and to overcome barriers to innovation for high-tech companies in the South Moravian region of the Czech Republic. The methodology adopted for this paper includes monitoring and analysing the activities of this programme over seven years, followed by a quantitative study using both primary and secondary data. The primary data for the research were gathered through questionnaires, where the respondents were general managers of companies that had at least some experience of an innovation process. Secondary data were taken from the Czech Statistical Office. This paper has found that the association between an aspiration for innovation leadership and expenditure for research and development is high, further that participation in OIS led to a shift in the perception of the objectives, needs and conditions of the business and finally the major barriers to the innovation process are a lack of highly motivated people with the necessary technical and business experience.

scholarly journals Czech households’ income conditions according to the EU SILC statistics

2010 ◽  
Vol 58 (3) ◽  
pp. 251-260 ◽  
Author(s):  
Ladislav Stejskal ◽  
Jana Pustinová ◽  
Jana Stávková
Keyword(s):  
Social System ◽  
Methodological Approach ◽  
Social Groups ◽  
Income Level ◽  
Primary Data ◽  
Data Set ◽  
Data Usage ◽  
The Social ◽  
Quantitative Indicators ◽  
The Eu

Article is devoted to evaluation of the Czech population’s income situation according to the inquiry realized within the frame of the Statistics on Income and Living Conditions (SILC) project. This was carried out by the Czech Statistical Office in the year 2005. Selected introductive analyses are presented with the view of pointing at the primary data usage possibilities. Main aim of the paper is to explicate basic quantitative indicators of Czech households’ income situation in general, then in division according to social groups and regional belonging. Consequent aim encompasses the identification and analysis of the income unevenness measure by the help of alternative methodological approach. The essential findings and income characteristics are introduced, including recomputation to the physical and so-called standardized member. In compliance with the predefined threshold the households endangered with the insufficient income level are identified. Insufficient income level means that household earnings cannot cover standard living costs. This part is followed by the brief statistical analysis of the data set of this group of households and the reference to other studies which are currently being pursued. Conclusion comprehends the spectrum of processes and analyses that could follow, or are already worked out, in concurrence with the existing findings. First of these, for example, is the income situation evaluation of seniors involved in the enquiry. Reason is that this segment is traditionally perceived as economically weak and more or less dependent on the social system settings.

scholarly journals Human 2.0: Behavioral Dissonance between Online and Offline Personal Traits, And Implications on e-Marketing Practices

2021 ◽  
Vol 3 (2) ◽  
pp. 18-25
Author(s):  
Moataz Kamel
Keyword(s):  
User Interfaces ◽  
Online Advertising ◽  
Primary Data ◽  
Business Practices ◽  
Computer User ◽  
Personal Traits ◽  
Face To Face ◽  
Internet Users ◽  
Primary Data Analysis ◽  
The Social

This research paper presents an attempt to explore the phenomenon of a consistent disconnection between the online and offline personality traits of Internet users. The research delves deeper into this notion, explores the possible drivers and stimulants, and then puts special emphasis on its implications and repercussions on various business aspects, such as online advertising and e-marketing techniques. The research uses a variety of instruments and tools, including structured observations, face-to-face interviews, online surveys, and mock computer User Interfaces designed specifically for the purpose of the experiments conducted as part of the primary data collection for the research. The paper then proceeds to analyze the primary data and presents an attempt to understand the phenomenon and its underlying stimulants. Finally, the paper presents a set of conclusions, again with more focus on marketing and business-related issues. The research, through its primary data analysis and rationalization, concludes that there is strong evidence that most internet users exhibit different facets of behavioral dissonance between their online and offline traits. The research also concludes that such dissonance may be induced by the social internet ecosystem and dynamics, rather than intrinsic tendencies in the users’ actual characters. The research also relates these findings with common business practices of successful online businesses and sheds the light on potential ethical dilemmas pertaining to internet businesses exploiting these phenomena (albeit sometimes unknowingly) to lure their users into buying products or to generate more traffic.

scholarly journals The Influence of Demographic and Herbal Characteristics on Purchase Decisions of Zingiberacea Familia: An Exploration in Kota Bharu, Kelantan Society

2019 ◽  
Vol 8 (2S9) ◽  
pp. 1058-1062
Keyword(s):  
World View ◽  
Secondary Data ◽  
Positive Influence ◽  
Primary Objective ◽  
The Other ◽  
Primary Data ◽  
Purchase Decision ◽  
Green Product ◽  
Other Hand ◽  
Environmentally Safe

In Malaysia, for over a decade a product of Zingibereacea familia especially ginger are coming as one of the famous product in Malaysian market. The study brings out green product from Zingiber Officianale Roscoe (Ginger) among 100 respondents in Kota Bharu, Kelantan with a primary objective to search a response from the customer’s either this product can be presumed to be environmentally safe should be preserved as a medicinal plant and commercialized within and outside the country. In regard to the fact that “Green Marketing” is developed as a products that are presumed to be environmentally safe. The objective of this research was to determine usage profiles and some variables that influence the purchase decision of herbal medicine in Kota Bharu Kelantan, and (2) to evaluate the consumer’s response on the development of Zingiberacea Familia Based Product, either it can be a symbol of herbs that can be lifted as a health and beauty product in the preservation and preservation of Malay culture. Primary data was collected from the survey tabulated within the Kota Bharu society, and secondary data was collected from the available literature sources. The core idea of the finding are a world view is also a two-way bridge: A respondent shows a positive reaction that Zingibearacea Familia product could be be a symbol of herbs that can be lifted as a health and beauty product in the preservation and preservation of Malay culture. On the other hand, only age characteristic showed significant influence on purchase decision of green product from Zingiberacea Familia, on the other hand races, level of education and job sector didn’t show positive influence

scholarly journals KEPATUHAN HUKUM IBU TERHADAP KETENTUAN PIDANA TERKAIT PERBUATAN YANG MENGAKIBATKAN PENDERITAAN PSIKIS ANAK

2018 ◽  
Vol 4 (2) ◽  
pp. 442-469
Author(s):  
Tisa Windayani
Keyword(s):  
Domestic Violence ◽  
Significant Role ◽  
Personal Values ◽  
Sampling Technique ◽  
Primary Data ◽  
Legal Compliance ◽  
Good Relationship ◽  
Purposive Sampling ◽  
Level Of Understanding ◽  
Penal Sanction

Art 80 and Art 76C  of Law No. 35/2014 purports to protect children from domestic violence (including most importantly those committed by the mother of the child).  This article using empirical juridical purports to analyze what factors are influential in determining compliance.  Primary data is collected using purposive sampling technique and subsequently is analyzed qualitatively.  The main result of the research is that avoidance of penal sanction is not a significant role in determining legal compliance.  More significant or influential are factors such as the extent or level of understanding the rule’s purpose or values behind the existing rule (prohibiting domestic violence), the need to maintain good relationship with the child; identification of the mother with certain groups in society and personal values. 

scholarly journals Impact of Microfinance on Income and Employment in Pakistan: A Primary Data Analysis

2017 ◽  
Vol 3 (1) ◽  
pp. 69-82
Author(s):  
Shahina Imran ◽  
Rana M. Imran Arshad
Keyword(s):  
Household Income ◽  
Positive Impact ◽  
Small Enterprise ◽  
Local Context ◽  
Primary Data ◽  
Control Group ◽  
Primary Data Analysis ◽  
Gender Education ◽  
Household Assets ◽  
The Impact

Purpose: This paper investigates impact of microfinance on household income and employment. It is a primary data research conducted in the Bahawalpur division, Pakistan. The study employed the tool developed by Assessing the Impact of Microenterprise Services (AIMS) and Small Enterprise, Education and Promotion (SEEP). The tool has been modified in local context. The sample consists of 1524 respondents, out of which 773 are established clients (treatment group) and 751 are incoming ones (control group), belonging to different microfinance providers of Pakistan.  Independent Sample T-Test and Multiple regressions have been used for analysis. The regression analysis shows that participation to microfinance program has strong positive impact on household income while very minute positive impact on employment. Other independent variables such as prior access to any other loan, micro saving, household assets, age of respondent, gender, education and household size have positive impact on household income but a mixed impact on income generating activities.

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