ECONOMY AND SOCIOLOGY  

 
 

 

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December No. 2/2020 

STRENGTHENING THE COMPETENCES OF FUTURE SPECIALISTS 
IN ACCORDANCE WITH THE DEVELOPMENT TRENDS OF CROP PRODUCTION 

 
Veronica PRISACARU1, PhD in Economics, Associate Professor, 

 State Agrarian University of Moldova  
Tatiana SEVCIUC2, PhD in Economics, Associate Professor,  

State Agrarian University of Moldova  
Grigore BALTAG3, PhD in Economics, Associate Professor,  

State Agrarian University of Moldova   
 

DOI: https://doi.org/10.36004/nier.es.2020.2-04  
JEL Classification: E24, I25, J24, J43, J45, O13 
UDC: 378.663(478) 

 
ABSTRACT  
Under the current conditions, marked by a flexible and turbulent environment, balancing the demand 

and supply of the labor market is one of the basic factors for sustainable development. In this context, 
identifying the most effective tools to adapt the supply of professional education to the needs of the sectors is 
an important step towards achieving the goals of sustainable development. Even if considerable efforts as 
well as relevant methodological tools are required, the process of harmonizing the requirements of the 
sectors and the content of professional education programs is particularly important and represents a 
decisive factor in achieving the sustainable development goals. The main purpose of this investigation was to 
highlight the essence and application aspects of the sectoral approach in anticipation of the necessary 
competences, as well as to operate with this tool in order to identify trends and problems related to crop 
production in the Republic of Moldova and to make changes necessary for improving the curricula. In order 
to achieve the proposed goal, the following methods were used: synthesis of methodological 
recommendations and good practices for applying the sectoral approach in anticipating competences; 
economic-statistical analysis; systematic approach; classification method; structural-logical method; 
generalization; deduction; drawing conclusions and reasoning, including using the objectives tree technique. 
The research resulted in explaining the essence and particularities of sectoral approach in terms of 
advantages and disadvantages, analysis of the agricultural production sector, especially crop production in 
the Republic of Moldova and formulating recommendations for improving agricultural study programs. 

Keywords: agriculture, competences, crop production, education, labor market, sectoral approach. 
 
În condițiile actuale de dezvoltare a societății, în virtutea mediului extrem de flexibil și turbulent, 

echilibrarea cererii și ofertei pieței muncii reprezintă unul din factorii de bază ai dezvoltării durabile. În acest 
context, identificarea celor mai eficace instrumente de adaptare a ofertei educației profesionale la 
necesitățile sectoarelor reprezintă un pas important în direcția atingerii obiectivelor dezvoltării durabile. 
Chiar dacă se impun eforturi considerabile și se solicită instrumente metodologice relevante, procesul de 
armonizare a cerințelor sectoarelor și conținutului programelor de educație profesională este deosebit de 
important și reprezintă un factor decisiv al atingerii obiectivelor dezvoltării durabile. Scopul de bază al 
prezentei investigații a constat în elucidarea esenței și aspectelor aplicative ale abordării sectoriale în 
anticiparea competențelor necesare, precum și operarea cu acest instrument pentru a identifica tendințele 
și problemele aferente producției vegetale în Republica Moldova și a proiecta unele intervenții curriculare în 
raport cu deficiențele constatate. În vederea atingerii scopului propus, s-au utilizat metodele: sinteza 
recomandărilor metodologice și bunelor practici de aplicare a abordării sectoriale în anticiparea 
competențelor; analiza economico-statistică; abordarea sistemică; metoda clasificării; metoda structural-

 
 
 
1 ID ORCID 0000-0002-2952-6888   e-mail: v.prisacaru@uasm.md 
2 ID ORCID 0000-0001-7886-4165   e-mail: sevciuctatiana@mail.ru 
3 ID ORCID 0000-0002-7220-8922   e-mail: g.baltag@uasm.md 

mailto:v.prisacaru@uasm.md


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logică; generalizarea; deducția; formularea de concluzii și raționamente, inclusiv și prin utilizarea tehnicii 
arborelui obiectivelor. Cercetarea s-a soldat cu explicarea esenței și particularităților de aplicare a metodelor 
și tehnicilor de abordare sectorială prin prisma avantajelor și dezavantajelor, analiza sectorului producției 
agricole și, distinct, a producției vegetale în Republica Moldova și formularea recomandărilor de 
perfecționare a programelor de studii cu profil agrar.  

Cuvinte-cheie: agricultură, abordare sectorială, competențe, educație, producție vegetală, piața muncii. 
 
В современных условиях развития общества, в силу чрезвычайно гибкой и турбулентной среды, 

балансирование спроса и предложения на рынке труда является одним из основных факторов 
устойчивого развития. В этом контексте, выявление наиболее эффективных инструментов для 
адаптации системы профессионального образования к потребностям секторов является важным 
шагом на пути к достижению целей устойчивого развития. Даже если требуются значительные 
усилия и соответствующие методологические инструменты, процесс согласования требований 
секторов и содержания программ профессионального образования особенно важен и является 
решающим фактором на пути достижения целей устойчивого развития. Основная цель данного 
исследования заключается в изложении сути и практических аспектов секторального подхода в 
проектировании необходимых навыков, а также в применении данного инструмента для выявления 
тенденций и проблем в развитии растениеводства в Республике Молдова и разработки 
предложений по улучшению соответствующих учебных программ. Для достижения поставленной 
цели, использовались следующие методы: синтез и обобщение методических рекомендаций и 
передовой практики применения секторального подхода; экономико-статистический анализ; 
системный подход; метод классификации; структурно-логический метод; дедукция, формулировка 
обоснований и выводов, в том числе с использованием техники дерева целей. В результате 
исследования были разъяснены сущность и особенности применения методов и приемов 
секторального подхода с точки зрения преимуществ и недостатков, проведен анализ сектора 
сельскохозяйственного производства и, в отдельности, растениеводства в Республике Молдова, а 
также сформулированы рекомендации по совершенствованию программ сельскохозяйственного 
профессионального образования. 

Ключевые слова: навыки, образование, растениеводство, рынок труда, секторальный 
подход, сельское хозяйство. 

 
INTRODUCTION 
The economic and social prosperity of each state, as a primary strategic objective, must be examined 

under the influence of all determinants. Among them, while some are manifested by direct and 
quantifiable impact, others, including the quality of trained specialists, face the difficulty of measuring the 
exerted influences. However, this does not diminish the significance of the efforts needed to increase this 
impact, thus creating conditions to achieve the expected development goals. 

Education, along with lifelong learning, are recognized today as pillars of the development process 
by virtue of their multiple effects: promoting the interests of individuals, businesses, and, implicitly, 
of the economy and society; reducing the vulnerability of young people on the labor market; 
eradicating poverty; increasing social inclusion; facilitating economic growth, etc. [ILO. Skills for trade 
and economic diversification; ILO, 2004; ILO, 2010. A Skilled Workforce for Strong, Sustainable and 
Balanced Growth; Savelieva and Prodan, 2018]. The extent to which the professional education 
system, in its turn, will be able to generate the above-mentioned effects depends on its ability to meet 
current and future requirements of the sectors for which the final products are intended (qualified 
human resources). In other words, the best possible balance of the demand for skilled labor and the 
supply of the professional education system is required, which, in its turn, must meet the following 
requirements: relevance, efficient organization and management, high quality results [ILO, 2010. 
Upskilling out of the Downturn]. Compliance with these requirements in relation to the educational 
offer is particularly important, taking into account that demand patterns are constantly and similarly 
changing in most countries under the influence of demographic factors, globalization, international 
competition and technological change [Cedefop, 2016]. Thus, it is obvious that the modernization of 



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the educational system represents an urgent necessity in response to the challenges and needs of the 
economy diversification, the transition to new technological structures, the expansion of a 
competitive presence on the external markets, the increased competitiveness of the economically 
active population and business entities etc. [Bogush, 2017:103].  

LITERATURE REVIEW 
Under the current conditions, because of the increasing flexibility of the business and living 

environment, governments are called upon to strengthen competence development systems to 
ensure that the skills and qualifications offered can bridge the gap that may exist between the world 
of education and training on the one hand, and the world of work on the other hand [ILO. Skills for 

trade and economic diversification; ILO, 2010. A Skilled Workforce for Strong, Sustainable and 
Balanced Growth]. Although it has been in use for decades, the term „competence” has gained a 
greater interest in educational research, psychology and neighboring disciplines in the last few years, 
generated by the globalization of the labor and educational markets. Thus, since the end of the 1980s, 
the implementation of new governmental intervention strategies in the educational systems has led 
to a stronger focus on “outputs” and “outcomes” at all educational levels, from elementary, up to 
vocational and adult education. The outcomes – or the value added to them – are used as criteria of 
the educational systems` productivity, as well as of the related educational institutions` quality and 
of the learning achievement of the individuals [Klieme et al., 2008:3].  

Among different existing definitions, those that are based on the functional approach may be 
highlighted and, consequently, may be used for a large-scale assessment of the educational outcome. 
So, according to Weinert (1999) ”the concept of competence refers to an individually or 
interindividually available collection of prerequisites for successful action in meaningful task domains”. 
Based on the previous approach, Klieme and Leutner came with a working definition, as „context-
specific cognitive dispositions that are acquired by learning and needed to successfully cope with certain 
situations or tasks in specific domains” [Klieme et al., 2008:9]. In a more concise but consistent manner 
the competences are defined by the International Labour Organization as "knowledge, skills and know-
how applied and mastered in a specific context” [ILO, 2004]). It can be observed that the term 
„competence”, according to the definition given by the International Labour Organization, is larger, 
than the term “skills”, the latter representing a component of “competence”.  However, many 
documents and studies refer to the term skills in a broader meaning: knowledge, abilities, know-how.   

The analysis of the demand and supply of competences in order to balance them can be done in 
various ways, among which the sectoral approach is getting a growing relevance. The term "sector" 
in this context is used to define specific areas of economic activity. The sectoral approach is defined 
as „one which aims at changing skills needs from the perspective of a particular sector” [Wilson et al., 
2016:13]. It operates from a forward-looking perspective, and provides information about sector’s 
development and growth opportunities based on its global competitive position and market 
development and, on this basis, anticipates the skills that the sector most needs to strengthen for 
future success [ILO, 2016]. Currently, the sectoral approach in anticipating competences is a 
significant and effective tool, widely accepted and promoted internationally. The history of 
implementing the sectoral approach begins at the end of the last century. Initially, some countries, 
such as France, began to make labor forecasts (a long time ago) based on indicative economic 
planning. Most other countries have been making such forecasts since the 1970s and 1980s. Later the 
sectoral studies became part of that process. For example, Portuguese studies began in the late 1990s. 
The United Kingdom imposes itself by setting up Sector Skills Councils in 2002, and the EU began 
publishing the results of sectoral studies in 2008 (Wilson et al., 2016:28). The experience of wide 
implementation of sectoral studies has been widely taken over by the countries in transition, having 
obtained remarkable results in the Czech Republic, Romania, Estonia [Wilson et al., 2016:30-31]. The 
particularly high significance of sectoral studies is evidenced by their persistence in most attempts to 
predict the future of the labor market [ILO Skills for trade and economic diversification; Gregg and 
Nayef, 2015; Breuer, 2012], representing a dimension of macroeconomic models for skill anticipation. 
For most countries, the sector is in the centre of systems providing education and training, especially 
vocational education. Germany, for example, has managed to establish strong links between 



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employers and providers of education and training [Wilson et al., 2016:28].  
The sectoral approach to competence forecasting is based on a series of tools and techniques, 

which are set out in Figure 1. 
 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
 

 

 

 

 

 

 

 
 

Figure 1. Tools and techniques used in competence anticipation 
Source: Developed by the authors based on [Wilson et al., 2016: 26-27].  

Surveys of opinion directed at employers or other groups 
Advantages:  direct ‘user’ or ‘customer’ involvement; 
Disadvantages: may be subjective and inconsistent; may focus too much on the marginal and 
ephemeral; the respondents may not necessarily be aware of future skills needs. 
 

Interviews and related techniques 
Advantages:  may be able to address problems and concerns more subtly and more deeply;  
Disadvantages: may be unrepresentative. 

 
 

Workshops 
Advantages: useful mechanism for exchanging views;  
Disadvantages: can provide a partial view. 

Other informal contacts 
Advantages: useful mechanism for exchanging views; 
Disadvantages: may be anecdotal and not grounded in reality. 

General synthesis and critical assessment of available evidence 

Formal, national-level, projections based on a quantitative model 
Advantages: comprehensive; consistent; transparent and explicit; quantitative; 
Disadvantages: data- hungry; costly; not everything is quantifiable; may give false impression 
of precision. 

Focus groups, round tables, Delphi- style methods 
Advantages:  holistic; direct ‘user’ or ‘customer’ involvement;  
Disadvantages: can be non-systematic, inconsistent and subjective. 

 
 

Scenario development analysis 
Advantages:  holistic; direct ‘user’ or ‘customer’ involvement; focuses on uncertainty. 
Disadvantages: can be non-systematic, inconsistent and subjective. 
 

 
Case studies using both quantitative and qualitative evidence 

Advantages: holistic (for the sector); strong on sectoral and other specifics; 
Disadvantages: partial; potentially biased, inconsistent across sectors. 
 
pot fi nesistematice, inconsistente, subiective.  

 

Partial projections based on quantitative models  
(for example focusing on individual sectors or occupations) 

Advantages: transparent and explicit; quantitative; targeted; 
Disadvantages: not everything is quantifiable; may give false impression of precision; partial 
analysis may be biased. 

Primary 
data 

collection 

Analysis 

Other 
foresight 
methods 

Factual surveys directed at employers or households 
Advantages: direct ‘user’ or ‘customer’ involvement; focuses on how people behave, not what 
they say or perceive;  
Disadvantages: getting responses could be problematic; needs large samples to get robust data, 
therefore may be expensive. 



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The effectiveness of the competence anticipation process depends on the extent to which the 
optimal combination of different tools will be made, each of which has, in addition to advantages, 
some limitations, as shown in Figure 1. The main factors determining the content and methodology 
of the sectoral approach and, respectively, the possible choices regarding the tools and techniques to 
be applied, are set out in Figure 2. 

 

 

 

 

 

 
 
 
 

 
Figure 2. Factors determining the content and methodology  

of the sectoral approach in anticipating competencies 
Source: Developed by the authors based on [Wilson et al., 2016:13].   

 
Another important landmark of the sectoral analysis as a tool for anticipating competences is 

the active and productive involvement of stakeholders, including: employers and their 
representatives; employees and their representatives; the state; professional education and training 
providers; potential labor market participants (students, their parents, career guidance services) 
[Wilson et al., 2016:13-14].  

In addition to the tools and techniques applied, other important factors for the success of the 
sectoral analysis are highlighted, namely: commitment and support from beneficiaries, their active 
involvement (especially of the employers); representativeness of enterprises of various sizes (small, 
medium and large); availability of financial and human resources; skills and expertise in 
implementation; relevant data availability [ILO. Skills for trade and economic diversification; ILO, 
2004;  Wilson et al., 2016:14]. 

RESEARCH METHODOLOGY AND RESOURCES 
The present investigation was carried out by following several consecutive steps: 
1. Synthesis study of the conceptual approaches of the sectoral analysis and of the good 

practices in applying the sectoral analysis in the competence anticipation; 
2. Assessment of general trends in the evolution of agricultural production and, distinctly, of 

crop production in the Republic of Moldova; 
3. Identification of factors that reduce crop production efficiency; 

Study objectives
Existing 

institutional 
infrastructure

Existing 
statistical 

infrastructure

Economic and 
political context

Financial and 
human resource 

constraints

Primary data 
collection or 

using existing 
information 
from oficial 
and other 

sources

Using 
quantitative 

and qualitative 
methods

Choice between 
different data 

collection 
methods 
(surveys, 

interviews, etc.)

Application of 
different ways 
of anticipating 

the future

Factors determining the 
content and methodology                    
of the sectoral approach 

Possible choices 



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4. Identification of the competences to be improved within the professional education 
programs with agricultural profile in the context of issues related to crop production; 

5. Prediction of the medium and long-term effects of proposed interventions. 
The assumed tasks were performed by using the following methods: investigating different 

resources regarding the sectoral approach in competence anticipation; analysis of the crop 
production in terms of quantitative and qualitative indicators; identification of problems related to  
crop production efficiency and, implicitly, to agricultural production in general; deducing the 
directions of intervention in professional education programs with agricultural profile and 
forecasting their effects in the medium and long term by using the objectives tree technique; 
formulation of reasoning and final recommendations on the necessary interventions in the programs. 

The sources of information were: a series of strategic documents, scientific and analytical 
publications on the researched subject, statistical data available on the official website of the National 
Bureau of Statistics of the Republic of Moldova. 

The present investigation was carried out within the scientific project "Predictive approaches 
to increasing the quality of skills in agricultural higher education based on the partnership with the 
business environment", no. 20.80009.0807.41. 

RESEARCH RESULTS AND DISCUSSIONS 
The need to focus efforts on improving the quality of the specialists for the agricultural sector 

is justified both by the recognized significance of the sector for the economic and social development 
of the Republic of Moldova, and by the absence of visible positive trends in its performance evolution. 
Moreover, climate change, economic crises (example: the current crisis caused by the Covid 
pandemic) amplify the pressures on agricultural balances and education budgets.  

At the current stage the agricultural professional education system in the Republic of Moldova 
consists of educational institutions of three levels: secondary technical vocational education, 
postsecondary technical vocational education and higher education. The productivity of the 
respective system can be evaluated by a series of indicators, the most relevant being the number and 
the quality of specialists trained for the national economy. With reference to the basic quantitative 
aspect of agricultural education performance, there exists the problem of continuous reduction of the 
number of students (Figure 3) and, as a result, of the reduction of the number of graduates (Figure 4). 
Thus, as shown in figure 4, there is a visible descendent trend in the number of graduates from 
postsecondary technical vocational education institutions and from higher education institutions in 
the„Agricultural sciences” field. With reference to the graduates from secondary technical vocational 
education institutions, we find out an insignificant increase in 2019. However, with the reduction of 
the number of students in the investigated field, it is obvious that in the future the number of 
graduates will drop. 

We have a positive situation only with reference to the field of "Veterinary Medicine" higher 
education, where growth trends are manifested in both the number of students and graduates. 

 

 

Figure 3. The average number of agricultural program students 
in the Republic of Moldova in the 2016-2010 period, pers. 

Source: Developed by the authors based on [NBSRM. Education and science]. 

412

290 248
244

816
776 737

658

1094

607 570
562

291 293 280 287

0

200

400

600

800

1000

1200

2016-2017 2017-2018 2018-2019 2019-2010

The average number of students in the field ..Agriculture, 
forestry, fishing and veterinary” in secondary technical 
vocational education

The average number of students in the field ..Agriculture, 
forestry, fishing and veterinary” in postsecondary 
technical vocational education

The average number of students in the field of
"Agricultural Sciences" in higher education (cycle I)

The average number of students in the field of
"Veterinary Medicine" in higher education (integrated
studies)



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Figure 4. The number of agricultural program graduates 
in the Republic of Moldova in the 2016-2019 period, pers. 

Source: Developed by the authors based on on [NBSRM. Education and science]. 
 
Descending trends in the number of graduates, along with the low level of employment 

according to their qualification, lead to a shortage of skilled labor in the sector [Prisacaru et al., 2019; 
Buciuceanu-Vrabie and Gagauz, 2017]. The quantitative insufficiency of qualified personnel in the 
agricultural production sector is not the only problem related to the transfer of professional 
education performance in the real sector, another important problem being unsatisfactory 
competencies. At the same time, it would be erroneous to say that the issue of connecting the 
competences offered by professional education institutions with agricultural profile in the Republic 
of Moldova is new, being widely addressed at different levels [National Strategy for Agricultural and 
Rural Development, 2014-2020; The concept regarding the restructuring of the research, innovation, 
education and rural extension system in the agri-food field]. However, the persistence of this problem, 
as evidenced by the low satisfaction of employers with the quality of professional education 
[Prisacaru et al., 2019] denotes the reduced effectiveness of the efforts made up to the current stage. 
Based on the latest reasoning, there is a clear need for better clarification of the necessary 
interventions in the study programs, an important step in this regard being to clarify the existing 
problems in the evolution of the sector and to identify the necessary curricular interventions.  

The sector evolution analysis, based on quantitative and qualitative indicators, is one of the 
recommended methods of the sectoral approach which, having a number of disadvantages as shown 
in Figure 1, has also a series of benefits by highlighting the drivers of change in the sector – new trends 
in technology, trends in international business and the context in which the sector operates (Wilson 
et al., 2016:26). Without diminishing the significance of other tools that need to be operated and that 
should complement the sector analysis, we must recognize that the evaluation of the sectoral 
indicators trends is an indispensable component of competence anticipation process. Already at the 
stage of examining the quantitative and qualitative trends found out in the sector evolution, and of 
problems and factors determining them, a series of directions of intervention in professional 
education programs can be designed, thus making an essential contribution to the quality of those 
programs. 

Harnessing the trends in the sector evolution as a tool to rationalize professional education 
offer is possible by understanding the interdependence between economic indicators and the factors 
of different nature conditioning them. On the basis of detailed examination of the factors, the areas 
where professional education institutions can improve the competences of the future managers and 
specialists can be identified. 

The data on the evolution of agricultural production in the Republic of Moldova show the 
absence of increasing trends of the sector performance, a first sign being the negative tendency of the 
contribution of agriculture, forestry and fishing in GDP (Figure 5). Thus, we find out that, if in 2014 
the sector’s contribution in GDP was 12.2%, it continuously decreased later, being only 10.3% in 
2018. In the absence of available statistical data for the last two years (2019 and 2020), due to the 

43

166

101
117

144
163

180

160

274

125

97
94

46

31 38
48

0

50

100

150

200

250

300

2016 2017 2018 2019

The number of graduates in the field ..Agriculture, 
forestry, fishing and veterinary” in secondary technical 
vocational education

The number of graduates in the field ..Agriculture, 
forestry, fishing and veterinary” in postsecondary 
technical vocational education

The number of graduates in the field of "Agricultural
Sciences" in higher education (cycle I)

The number of graduates in the field of "Veterinary
Medicine" in higher education (integrated studies)



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drought faced by the Republic of Moldova in 2020 and the economic crisis caused by the pandemic, it 
is obvious that we can not expect an improvement of the situation, but rather the opposite. 

 

 

Figure 5. The contribution of agriculture, forestry and fishing in the GDP of 
 the Republic of Moldova in the 2010-2018 period, % 

Source: Developed by the authors based on [NBSRM. National accounts].   
 
Another significant aspect that reveals the prosperity of any sector is the evolution of the gross 

added value generated per employed person (Figure 6). Examining the evolution of the indicator over a 
period of eight years, we note a very slow rise, and the level of only 46.6 thousand lei reached in 2018. 

 

 

Figure 6. Gross value added per person employed in agriculture, forestry and fishing in the 
Republic of Moldova in the 2011-2018 period, thousand lei (comparable prices) 

Source: Developed by the authors based on [NBSRM. National accounts. Gross domestic product; NBSRM.  
Labour force].   
 

One of the important criteria for a sector performance is its contribution to exports. As we note 
in Figure 7, the share of agricultural products in total exports has fluctuating trends, registering its 
significant reduction in 2018, while the share of imported agricultural products had slow, but steady 
growth trends. 

 

 

Figure 7. Comparative analysis of the share of agricultural products in total imports 
and exports of the Republic of Moldova in the 2010-2018 period, % 

Source: Developed by the authors based on [NBSRM. External trade]. 
 
Crop production is a branch that the economy of the Republic of Moldova relies on, especially 

as a result of the decline in the livestock production generated by the privatization process. The first 
step in the analysis of the crop production evolution consists in the estimation of its production 
potential, an important element of which are the agricultural areas of various categories. In this 
context, the trends in perennial plantations areas as well as those cultivated with vegetables have a 
special significance, fruit and vegetables representing high value crops, on which a greater stake is 
placed (Tables 1 and 2).  

11.2 11.4 10.4 11.6 12.2 11.5 11.4 11.5 10.3

5

10

15

2010 2011 2012 2013 2014 2015 2016 2017 2018

31.3 29.5
47.9 41.5 37 48.3

50.9 46.6

0

50

100

2011 2012 2013 2014 2015 2016 2017 2018

23.85 22.96 18.42 22.41 26.05 27.42 27.86 29.26 27.06

6.84 5.91 6.42 6.38 6.66 7.38 6.93 6.76 6.950

50

2010 2011 2012 2013 2014 2015 2016 2017 2018

The share of agricultural products in total exports

The share of agricultural products in total imports



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Table 1  
Evolution of perennial plantation areas in the Republic of Moldova in the 2010-2018 period  
Indicators 2010 2011 2012 2013 2014 2015 2016 2017 2018 

Total fruit, berries and nuts 
plantations, thousand ha 116 119 120 122 122 136 135 138 140 
incl. in agricultural enterprises 
of all types 53.9 54.5 55.8 56.7 64.2 63.8 61.5 64.1 65.8 
Share of fruit, berry and nut 
plantations of the agricultural 
enterprises in the total area of 
respective plantations, % 46.47 45.80 46.50 46.48 52.62 46.91 45.56 46.45 47.00 
Total area of vineyards, 
thousand ha 145 140 141 137 140 135 135 130 133 
incl. in agricultural enterprises 
of all types 36.8 35.1 34.3 32.1 31.9 30.5 30.4 30.5 30.9 
Share of vineyard of the  
agricultural enterprises in the 
total area of vineyards,% 25.38 25.07 24.33 23.43 22.79 22.59 22.52 23.46 23.23 

Source: Developed by the authors based on [NBSRM. Agriculture. Crop production]. 
 
According to the data in Table 1, the plantations of fruit trees, nuts and berries increased 

continuously in the analyzed period (2010-2018), reaching the level of 140 thousand ha in 2018.  
Thus there is an absolute increase of the respective areas of 24 thousand ha equivalent to a growth 
rate of 120.7%. Areas managed by agricultural enterprises had the same trend, the growth rate being 
122.1%. Total vineyard area decreased by 8.28%, including those managed by enterprises – by 16%. 
Regarding the share of area with perennial crops managed by enterprises in the total areas, we can 
see that in the analyzed period it did not vary substantially. 

Table 2  
Evolution of the areas cultivated with vegetables in the Republic of Moldova 

in the period 2010-2018 
Indicators 2010 2011 2012 2013 2014 2015 2016 2017 2018 
Total areas cultivated with 
vegetables, thousand  ha 77 73 65 66 63 57 59 57 53 
incl. in agricultural enterprises of 
all types 15.2 12.8 10.6 9.4 9.8 7.4 8.2 6.9 6.5 
Share of areas cultivated with 
vegetables of  the enterprises in 
the total area,% 19.74 17.53 16.31 14.24 15.56 12.98 13.90 12.11 12.26 

Source: Developed by the authors based on [NBSRM. Agriculture. Crop production]. 
 
According to the data in Table 2, the areas cultivated with vegetables decreased continuously 

during the researched period, the level reached in 2018 being by 24 thousand ha below the level of 
2010, which means a reduction by 31.16%. At the same time, we notice an even more substantial 
reduction, by over 57%, in the vegetable areas of agricultural enterprises. Due to the potential value 
of vegetables, along with other special meanings (e.g. as a food product, as raw material for the 
processing industry, etc.), the stated trends can certainly be considered an alarm signal for decision 
makers on the strategic direction of the sector. 

By generalizing the data on the evolution of agricultural areas, we can positively appreciate the 
increase of the areas of perennial plantations in the investigated period. At the same time, based on 
the economic significance of perennial crops, we can deduce that the growth rate of areas of only 
120.7% in a period of nine years is insufficient. The reduction of areas cultivated with vegetables is 
another problem of the sector with a negative impact on its performance. 

In order to highlight the economic results of the crop production, we will initially elucidate the 
trends in the evolution of the global crop production (Figure 8) and the crop production index (Figure 9). 



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December No. 2/2020 

 

Figure 8. Evolution of the global crop production in the Republic of Moldova  
in the 2010-2019 period, million lei 

Source: Developed by the authors based on [NBSRM. Agriculture. Crop production]. 
 

 

Figure 9. Evolution of the crop production index  
in the Republic of Moldova in the 2013-2019 period, % 

Source: Developed by the authors based on [NBSRM. Agriculture. Crop production]. 
 
According to the data presented in Figure 8, we notice the increasing trends in the crop 

production value. Thus, despite the reduction of the indicator in 2012 and 2018 compared to previous 
years, the level reached in 2019 is higher than that recorded in 2010, the total growth rate (for nine 
years) being 180%. However, the indicators set out in Figure 8 cannot serve as indisputable evidence 
of the increase in crop production performance under the following circumstances: 

• the crop production index, as we notice from figure 9, did not have continuous growth 
tendencies, being ascertained even its continuous reduction starting with the year 2016; 

• global crop production is an indicator that expresses the result, but not the economic 
efficiency of the brunch. 

In order to deepen the study, we will use the "crop yields" indicator which provides a more 
accurate picture of the quality of the production factors` management (Table 3). 

Table 3  
Crop yields in the Republic of Moldova in the period 2010-2019, quintals/ha 

Indicators 2010 2011 2012 2013 2014 2015 2016 2017 2018 
Cereal and legume 
crops 22.3 25.4 14.3 30.8 34.0 25.1 35.0 39.2 37.9 
Sugar beet 326.6 240.1 191.4 358.6 501.6 255.5 329.0 381.8 386.5 
Tobacco 17.6 15.3 13.1 15.4 17.4 16.2 13.9 18.3 19.5 
Sunflower 15.4 15.7 10.3 20.5 18.4 15.5 19.8 21.8 22.3 
Soy 18.7 13.4 8.0 16.7 21.5 7.2 11.8 14.4 22.2 
Potatoes 130.9 152.3 105.9 157.7 184.3 114.7 139.5 149.7 142.6 
Field vegetables 67.1 88.5 73.6 88.8 105.1 115.2 138.1 142.2 130.4 
Pumpkin food crops 46.5 50.4 38.4 59.7 35.5 52.2 54.3 69.4 103.8 
Roots for fodder 275.9 264.4 204.1 273.2 404.0 272.9 143.4 41.5 35.6 
Corn for silage, green 
mass and hay 152.8 148.7 48.6 171.4 177.1 97.7 190.5 193.7 270.2 
Seed fruits 42.3 56.6 60.6 81.8 92.9 67.6 89.7 119.9 171.0 
Stone fruits 27.1 18.4 19.8 37.2 41.2 49.9 51.9 48.4 65.6 
Nuts 1.7 2.2 0.9 3.9 3.5 3.7 3.5 3.8 5.4 
Berries 8.7 8.6 10.8 10.5 17.0 11.0 14.5 19.5 27.8 
Grapes 23.1 44.8 40.5 62.1 51.3 53.3 62.3 79.0 86.0 

Source: Developed by the authors based on [NBSRM. Agriculture. Crop production]. 
Note: Data reflects the situation in agricultural enterprises. 

13 616 15 751 11 968 15 480 17 341
18 082 21 098 24 435 22 883

24 510

0

20 000

40 000

2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

163.6
110.8

77.7
126.6 113.7 103.8 99.7

0

200

2013 2014 2015 2016 2017 2018 2019



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December No. 2/2020 

The data in Table 3 show an increase in the crop yields, with the exception of fodder roots. At 
the same time, we note that none of the crops shows a stable trend of increasing yields, with 
fluctuations being identified in its evolution. The modest results in the evolution of crop production 
are also confirmed by the efficiency indicators of the agricultural enterprises (Table 4). 

 
Table 4 

 Evolution of financial results of agricultural enterprises in the Republic of Moldova 
 in the period 2015-2018 

Indicators 2015 2016 2017 2018 
Number of profitable enterprises, units 1530 1935 2431 2479 
Financial result of profitable  enterprises, million lei 1148.94 1731.69 2720.43 2136.42 
Number of unprofitable enterprises, units 1377 1254 1163 1431 
Financial result of unprofitable  enterprises, million lei -1039.81 -451.7 -274.93 -525.25 

Total financial result before tax, million lei 109.13 1279.99 2445.50 1611.16 
Source: Developed by the authors based on [NBSRM. Entrepreneurship]. 

 
The data in Table 4 show the increase in the number of enterprises that operated profitably 

during the analyzed period, but also the continued existence of an impressive number of unprofitable 
enterprises. Through a more detailed investigation (Figure 10) we can see that in 2018 the share of 
profitable enterprises was 60.67%. Even if, compared to the level of 2015, in 2018 the share of 
profitable enterprises increased by 10.19 pp, there are no stable trends in their share. At the same 
time, during the analyzed period a significant part of enterprises operated with losses, as we note in 
Figure 11. In the evolution of the total financial result, as well as, distinctly, of the profit obtained by 
the profitable enterprises and the losses of other category of enterprises, we also note the absence of 
stable improvement trends. 

 

 

Figure 10.  Evolution of the share of profitable agricultural enterprises 
 in the period 2015-2018, % 

Source: Developed by the authors based on [NBSRM. Entrepreneurship]. 
 

 
Figure 11. Evolution of the share of unprofitable agricultural enterprises  

in the period 2015-2018, % 
Source: Developed by the authors based on [NBSRM. Entrepreneurship]. 

 
By examining the "average profit per employee" indicator (Figure 12) we can see the same 

trends as in the total financial results of agricultural enterprises: while there is a steady increase in 
the indicator in the 2015-2017 period, 2018 was marked by its substantial reduction (by 33.8%). 

50.48 58.32
65.3 60.67

0

50

100

2015 2016 2017 2018

45.43
37.39

31.24 35.02

0

20

40

60

2015 2016 2017 2018



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December No. 2/2020 

 

Figure 12. Evolution of the average profit per employee in agricultural  
enterprises in the 2015-2018 period, lei 

Source: Developed by the authors based on [NBSRM. Entrepreneurship]. 
 
By generalizing the presented above, we deduce the modest performance of agricultural 

production in general and of the crop production in particular, as well as the absence of visible 
positive trends in their evolution. The synthesis of some analytical studies on the subject reveals a 
series of factors conditioning the low profitability of crop production (Table 5). 

Table 5 
 Factors conditioning the low profitability of crop production  

in the Republic of Moldova 
Groups of factors 
according to their 

nature 

 
The factors` content 

Technological factors • The dominant position of low value crops (cereals, oilseeds, sugar beet); 
• Low level of application of modern agricultural technologies (drought-resistant 
varieties, hail protection tools, etc.); 
• Insufficient irrigation capacity. 

Managerial factors  
 

• Dual and fragmented structure of agricultural enterprises; 
• Poorly developed risk management tools; 
• Lack of knowledge in product promotion. 

Economic and 
financial factors  

• Relatively high local production costs; 
• Much lower productivity of agricultural crops compared to the EU countries; 
• Limited share of investments in agriculture; 
• Limited share of foreign capital in long-term active investments; 
• High interest rates on bank loans and the short period of time for which loans are 
offered; 
• Lack of conditions and of infrastructure for storing products; 
•Lack of the necessary resources to carry out at least partial processing of 
production. 

Factors regarding the 
state mechanisms for 
managing the sector 

• Long and expensive procedures for registering varieties; 
• Instability of legislation, which increases business costs and creates difficulties in 
making forecasts for longer periods of time; 
• Instability of the country's policy in the field of international cooperation. 

Market factors • Monopoly on the local market by large companies that do not allow producers to 
market their products at advantageous prices; 
• Difficulties in penetrating new markets; 
• High competition in foreign markets; 
• Underdevelopment of the land market. 

Natural factors • Unfavorable weather conditions. 

Source: Developed by the authors based on [National Strategy for Agricultural and Rural Development, 
2014-2020; Lupusor et all 2017; Stihi and Zatic, 2016]. 

 
Through the synthetic evaluation of the data presented in Table 5 we can conclude that the crop 

production efficiency can be increased through a system of complex and varied measures of 
technological, economic-financial, organizational, managerial, legislative-normative nature, etc., 

2584

30104

59064

39054

0

20000

40000

60000

80000

2015 2016 2017 2018



 ECONOMY AND SOCIOLOGY  

 
 

 

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December No. 2/2020 

which, in their turn, require active and effective involvement of several actors and an optimal synergy 
of their efforts. Last but not least, we must mention the multitude of "cause-effect" relationships 
between various factors analyzed. For example, high production costs (economic factor) generate 
difficulties in penetrating products into markets, including external ones (market factor). On the other 
hand, the deficiencies in the application of advanced technologies (as a technological factor) are 
determined both by insufficient knowledge of advanced technologies (managerial factor) and by 
insufficient financial resources as a result of limited self-financing possibilities and difficulties in 
attracting external resources (financial factors). Based on the above mentioned, we also deduce the 
multiple effects of the same possible measures and, therefore, the special significance of those 
measures for the prosperity of the analyzed branch. Among them, we will emphasize in particular the 
better quality of agricultural education and training. In this context, based on the previously 
presented problems related to crop production, and using the objectives tree technique, we will 
schematically represent the recommendations for improving agricultural education programs and 
the expected medium and long term results (Figure 13). 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
 
 

Figure 13. The tree of agricultural education objectives regarding the improvement of 
competences in the field of crop production 

Source: Developed by the authors.  
 
As shown in Figure 13, based on the problems that appeared in the evolution of the crop 

production, a number of objectives can be identified, and namely: objectives aimed at applying 

Increasing the quality of qualified 
personnel in the crop production 

Improving competences 
in the field of applied 

production technologies: 
 

• Application of advanced 
production technologies 
• Rationalization of 
production technologies 
according to natural factors 
• Economic-ecological 
argumentation of crop 
rotations 

Improving competences in the field of business initiation 
and development (managerial and entrepreneurial): 

• Economic argumentation of the organizational structure of 
the economic units 
• Risk assessment and management 
• Application of effective product promotion tools 
• Application of market investigation tools 
• Negotiation of sale-purchase contracts 
• Cost effective planning and management 
• Business planning 
• Project development and project management (with 
reimbursable and non-reimbursable financing) 
• Possession and active application of digital skills in the 
related activity fields 

• elaboration and management of projects with 
reimbursable and non-reimbursable financing. 
 

 

• Increasing the agricultural 
crops yields 
• Solving problems related to 
soil damage 

• Rationalization of supply and sales processes 
• Identifying and attracting financing resources with 
minimal costs 
• Increasing the quality of management of means of 
production, ensuring an efficient activity 

• Ensuring the sustainable development of crop production; 
• Increasing the contribution of crop production to GDP 



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production technologies and objectives related to improving managerial and entrepreneurial 
competences. The effects of improving the related study programs are systematized in medium term 
effects (increasing crop yields, increasing soil fertility, streamlining supply and sales processes; 
identifying and attracting financing resources with minimal costs; increasing the quality of 
production management, ensuring efficient activity), and leading to the long-term effect (ensuring the 
sustainable development of the branch and increasing its contribution to GDP). 

It should be noted that much of the competences needed to be improved in agricultural 
professional education programs in the Republic of Moldova are analogous to international concerns 
in this regard under the following circumstances: the sector will increasingly face both threats and 
opportunities because of climate changes. Thus, the agriculture is seen as the sector providing 
benefits and services over and above the production of commodities (UK Commission for 
Employment and Skills, 2012). But at the same time, advanced skills will be required, especially in the 
application of technologies adapted to environmental regulations. The skills of efficient business 
management are also widely addressed, thus creating premises for business continuity.  

CONCLUSIONS 
The data obtained as a result of the analysis of crop production in the Republic of Moldova as a 

tool of sectoral approach to anticipating competences, shows the existence of a wide range of 
problems that hinder the development and, respectively, the competitiveness of the branch. Solving 
the problems related to the agricultural production efficiency in general and to the crop production 
efficiency in particular, requires a series of measures of economic, managerial, normative and 
legislative nature, etc., as well as the involvement of a wide list of actors representing various fields 
and levels. Among them, agricultural education institutions are meant to contribute by providing 
better competences to future managers and specialists, so as to overcome or at least to diminish a 
number of problems in the sector. 

Based on the problems appeared in the development of crop production, we can identify the 
following competences, on which greater emphasis must be placed in the process of professional 
education: 

I. In the field of applied production technologies: 
• Application of advanced production technologies; 
• Rationalization of production technologies according to natural factors; 
• Economic-ecological argumentation of crop rotations. 
I. In the field of business initiation and development: 
• Economic argumentation of the organizational structure of the economic units; 
• Risk assessment and management; 
• Application of effective product promotion tools; 
• Application of market investigation tools; 
• Negotiation of sale-purchase contracts; 
• Cost effective planning and management; 
• Business planning; 
• Project development and project management (with reimbursable and non-reimbursable financing);  
• Possession and active application of digital skills in the related activity fields. 
Improving the competencies mentioned above is an important step in increasing the quality of 

the professional education process. 
 

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ARTICLE HISTORY 
Received 25 May 2020 
Accepted 19 October 2020 
  

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