scholarly journals Evaluarea performanței culegătorilor de produse forestiere nelemnoase din Republica Moldova prin intermediul metodei neparametrice de analiză a frontierei posibilităților de producție (DEA)

2021 ◽  
Vol 21 (1) ◽  
pp. 57-72
Author(s):  
Gheorghe Novac ◽  
Laura Bouriaud ◽  
Marian Drăgoi ◽  
Anatol Racul
Keyword(s):  
Social Sciences ◽  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
The Social

Lucrarea abordează un subiect actual și important a cărui studiere este absolut necesară societății și sectorului de produse forestiere nelemnoase (PFNL). Motivația studiului a fost reliefarea importanței științifice și practice a PFNL pentru comunitățile rurale și pentru întreaga ramură silvică. Alegerea temei de cercetare este justificată de interesul din ce în ce mai ridicat față de PFNL la nivel național și internațional. Scopul cercetării a fost studierea performanței culegătorilor produselor forestiere nelemnoase prin intermediul metodei neparametrice de analiză a frontierei posibilităților de producție (data  envelopment analysis DEA). Studiul prezent este o aplicație a metodei DEA menită a  diferenția culegătorii PFNL eficienți de cei ineficienți, în vederea creșterii continue a productivității și eficienței muncii. Datele primare au fost obținute în rezultatul anchetării pe un eșantion de 510 persoane din 164 localități, răspândite în cele 16 raioane din R. Moldova. În cadrul anchetei au fost incluse 172 de variabile care au descris activitățile de bază în procesul de culegere a PFNL. Prelucrarea statistică a informației primare în baza de date s-a efectuat cu ajutorul aplicației SPSS (Statistical Package for the Social Sciences), prin metoda componentelor principale, unde au fost incluse unele variabile nominale și numerice. Rezultatele arată că cei mai eficienți culegători de PFNL sunt persoanele care culeg de pe terenurile degradate, gestionate de primărie, cu scopul de a vinde, recoltându-le prin scuturare sau tăiere, procesându-le sub formă uscată, unde există un punct de colectare. Profilul tip al culegătorilor eficienți mai presupune că aceștia merg la cules cu cunoscuții, se deplasează cu mașina până la 10 km și consideră că această activitate contribuie foarte mult la venitul familiei.

scholarly journals COMPARISON OF EFFICIENCY SCHOOL PERFORMANCE BETWEEN NATURAL AND SOCIAL SCIENCES: A BOOTSTRAPPING DATA ENVELOPMENT ANALYSIS

2019 ◽  
Vol 38 (2) ◽  
pp. 281-291
Author(s):  
Zaenal Mustakim ◽  
Muhamad Chamdani ◽  
Umi Mahmudah
Keyword(s):  
Social Sciences ◽  
High School ◽  
Data Envelopment Analysis ◽  
Secondary Data ◽  
School Education ◽  
High School Education ◽  
Average Score ◽  
Data Envelopment ◽  
General Description ◽  
Decision Making Unit

The main purpose of this study is to compare the efficiency performance of high school education in Indonesiabased on its specialization groups, namely natural and social sciences. This study uses secondary data of high school published by Ministry of Education and Culture of Republic of Indonesia in 2016 which covers general description such as the numbers of schools, students, teachers, graduates, classes, et cetera. This study uses a bootstrap approach that is applied in Data Envelopment Analysis (DEA) method, which compares the efficiency of each Decision Making Unit (DMU). To compare its efficiency, as many as 34 provinces are used as DMUs by using six input variables, namely the number of participants of national exam, students, schools, teachers, libraries, and the number of classrooms. The output variables are the number of graduates, the average score of national exam in Indonesian, English, and mathematics.The results indicate that all provinces have very good performance in organizing high school education for both natural and social sciences where the average efficiency scores of the traditional DEA are .99 and .98 for natural and social sciences, respectively. Meanwhile, its average scores from bootstrapped DEA are .98 and .96 for natural and social sciences, respectively. The empirical results also reveal that bootstrapped DEA provides better accuracy of efficiency scores than the traditional DEA. Overall, the provinces in Indonesia have better performance in organizing natural science than social science.

scholarly journals Efficiency assessment of public higher education with the application of data envelopment analysis: The evidence from Poland

2016 ◽  
Vol 4 (2) ◽  
pp. 59-73 ◽  
Author(s):  
Michał Pietrzak ◽  
Piotr Pietrzak ◽  
Joanna Baran
Keyword(s):  
Social Sciences ◽  
Higher Education ◽  
Data Envelopment Analysis ◽  
Empirical Investigation ◽  
Higher Education Institutions ◽  
Data Envelopment ◽  
Public Higher Education ◽  
Efficiency Assessment ◽  
Measuring Efficiency ◽  
Dea Method

Higher education is a form of a merit good. This is why governments usually support the delivery of this good. However, one could doubt the efficiency of such solution. How well do public higher education institutions (HEIs) do their job? How to measure their performance? This paper discusses these issues. First, we discuss the problem of defining and measuring efficiency in the case of publicly held HEIs with particular emphasis put on the Data Envelopment Analysis (DEA) method. Secondly, we present the results of our empirical investigation of efficiency assessed using the DEA method conducted on the sample of 33 Poland faculties specialized in social sciences . We use Charnes-Cooper-Rhodes (CCR) output oriented model with two inputs and three outputs. Next, we present some important differences in efficiency of those faculties. We also define benchmarks for inefficient HEIs and quantify the gaps to be fulfilled by them in order to become efficient. Finally, we pinpoint the directions of further research.

Data Envelopment Analysis

2004 ◽  
Author(s):  
Subhash C. Ray
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment

What Can We Learn From Factorial Surveys About Human Behavior?

Methodology ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Knut Petzold ◽  
Tobias Wolbring
Keyword(s):  
Social Sciences ◽  
Behavioral Intentions ◽  
Actual Behavior ◽  
Full Time ◽  
Factorial Survey ◽  
Survey Experiment ◽  
Intended Behavior ◽  
The Social ◽  
Survey Experiments ◽  
High Level

Abstract. Factorial survey experiments are increasingly used in the social sciences to investigate behavioral intentions. The measurement of self-reported behavioral intentions with factorial survey experiments frequently assumes that the determinants of intended behavior affect actual behavior in a similar way. We critically investigate this fundamental assumption using the misdirected email technique. Student participants of a survey were randomly assigned to a field experiment or a survey experiment. The email informs the recipient about the reception of a scholarship with varying stakes (full-time vs. book) and recipient’s names (German vs. Arabic). In the survey experiment, respondents saw an image of the same email. This validation design ensured a high level of correspondence between units, settings, and treatments across both studies. Results reveal that while the frequencies of self-reported intentions and actual behavior deviate, treatments show similar relative effects. Hence, although further research on this topic is needed, this study suggests that determinants of behavior might be inferred from behavioral intentions measured with survey experiments.

Developing an interface between engineering and the social sciences: An interdisciplinary team approach to solving societal problems.

1975 ◽  
Vol 30 (11) ◽  
pp. 1067-1071 ◽  
Author(s):  
W. Bruce Walsh ◽  
George L. Smith ◽  
Manuel London
Keyword(s):  
Social Sciences ◽  
Interdisciplinary Team ◽  
Team Approach ◽  
The Social ◽  
Societal Problems

Review of Quantitative Ecological Analysis in the Social Sciences.

1970 ◽  
Vol 15 (9) ◽  
pp. 586-587
Author(s):  
JOEL SMITH
Keyword(s):  
Social Sciences ◽  
Ecological Analysis ◽  
The Social
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