Now showing 1 - 8 of 8
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    Item type:Publication,
    BEHAVIORAL FACTORS INFLUENCING THE USE OF RURAL DEVELOPMENT SUPPORT
    (Faculty of Agricultural Sciences and Food - Skopje, 2016)
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    Martinovska Stojcheska, Aleksandra
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    Rural development (RD) policy is essential for sustainable development and continuous improvement of the quality of life of rural people. Despite the relative importance of RD policy, its implementation is lagging behind the direct payments support, partly because of the farmers’ unengaged interest. The aim of this paper is to identify the key behavioral factors that influence farmers’ intention to apply for RD support. The analytical framework is based on the theory of planned behavior, where the individual intention to perform a given behavior (apply for RD support) determines the performance and is shaped by the individual attitudes, social support and the perceived behavioral control; and a structural equation model. The survey took place in November-December 2014, in face-to-face interviews covering 299 farm households in Macedonia. Farmers with more positive attitude and perceived behavioral controls have stronger intention to use the RD support available. The model explains two-thirds of the variance. This knowledge provides basis for designing interventions to maximize farmers’ use of available rural development funds.
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    Item type:Publication,
    Determinants of rural development support use in Macedonia, Serbia, and Bosnia and Herzegovina
    (Asssociation of Agricultural Economists of the Republic of Macedonia, 2016)
    Martinovska Stojceska, Aleksandra
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    Bogdanov, Natalija
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    Nikolic, Aleksandra
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    The aim of this paper is to identify the internal and external factors that form the farmers’ intentions in relation to the use of the rural development support and explain their behaviour, in order to design an appropriate assistance plan to increase the effectiveness and efficiency of the rural development policy. The analysis is based on the theory of planned behaviour and multivariate statistics applied on data gathered in a survey of about 900 farmers that took place in November-December 2014 in Macedonia, Serbia and Bosnia and Herzegovina. The findings confirm that farmers’ intentions are influenced by the past behaviour (application), their attitudes towards the use of rural development support and the possibilities for co-financing. The social norms are mostly important in Serbia, followed by Bosnia and Herzegovina. Other socioeconomic factors, such as education, market orientation, farm size and the share of household’s income from agriculture, have different impact among the countries.
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    Item type:Publication,
    CAPTURING THE FARMLAND MARKET DATA IN THE REPUBLIC OF MACEDONIA
    (Faculty of Agricultural Sciences and Food - Skopje, 2016)
    Gjosevski, Dragan
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    Pesevski, Mile
    The capital farmland market in the Republic of Macedonia is underperforming and lacks of transparency. The limited availability for pricing information on farmland hinders the establishment of a functioning and transparent land market. Even though farmland markets typically exhibit a low rate of transactions, the land price may vary due to different factors. Hence, the prime aim is to detect initial records on the farmland prices, and to explain the influence of the factors that may affect the farmland price. The data collection is based on the desk and field research methods. The desk research was based on data reported in the Official Gazzetes of the RM during the period from January to December 2013, resulting in 1100 observations on the price of arable land and gardens. The field survey covered 244 respondents and was conducted by using the focus group approach during February 2014. The questionnaire included two points for discussion: 1) The lowest, mid and the highest price of the landmark i.e. the hypothetical property, and 2) The factors that influence the price. The results show that there are differences in the observed farmland prices resulting from the desk and field research. The average farmland price resulting from the desk research is 1 €/m2, while the one from the field survey is 1.53 €/m2. However, there are differences in the prices between regions as well, due to different factors affecting the farmland price. Density showed the strongest positive correlation with the farmland price, meaning that higher density increases the price, and vice versa. Other factors influence the farmland price as well. These initial results shall serve as a basis for future development of permanent records on the farmland price data, which are necessary to persuade timely information on the farmland market value and ease the farmland transactions.
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    Item type:Publication,
    Application of the agricultural policy measures (APM) tool: Evidence from Macedonia
    (Asssociation of Agricultural Economists of the Republic of Macedonia, 2016)
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    Janeska Stamenkovska, Ivana
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    The differences in the budgetary support of agriculture among countries, but also among years, hinder the process of evaluation of the harmonization with the Common Agricultural Policy (CAP). Agricultural Policy Measures (APM) tool enables uniform classification of the agriculture policy measures combining the pillar concept of the CAP and the OECD classification. This paper presents the application of the APM for the Macedonian agricultural policy for the period 2008-2014. The findings confirm the commitment for gradual harmonization with the CAP, but also identify the needs for further adjustments of the policy and the applicability of this database for conducting policy analysis and impact evaluation.
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    Item type:Publication,
    DEVELOPMENT OF DIRECT PAYMENT MEASURES IN THE MACEDONIAN PROCESS OF HARMONIZATION WITH CAP
    (Agricultural Academy, Institute of Agricultural Economics, 2019)
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    Janeska Stamenkovska, Ivana
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    Martinovska Stojcheska, Aleksandra
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    Agriculture, as a vital sector for socio-economic development in Macedonia, gains more importance for the policy makers during the process of harmonization with the Common Agricultural Policy (CAP) of the European Union. Since the start of this process, the national agricultural policy is under continuous reform; thus, the scope, the form and the type of the budgetary transfers to agriculture have been under constant change in the country. The aim of this paper is to describe and evaluate the development of the Macedonian agricultural policy, with a focus on the development of the direct payment measures. The analysis is based on the annual programs for financial support of agriculture (direct payment scheme dataset) and on the completed budgetary transfers classified by the Agricultural Policy Measures Classification scheme (APMC database). More systematic and structural changes for adjusting national agricultural policy towards CAP are established with the Law on Agriculture and Rural Development adopted in 2010; therefore, the analysis covers the period from 2010 to 2017. The analysis confirmed that direct producer support measures are the dominant instrument in the Macedonian agricultural policy, distributed mainly in a form of coupled payments (per output, cultivated area or head of livestock). The main recommendations derived from the findings are: to enlarge the share of decoupled measures in the direct support scheme; and in time, to gradually direct the policy toward rural development measures.
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    Item type:Publication,
    Attitudes of Macedonian Farmers towards EU accession
    (Hrvatsko agroekonomsko društvo – Agroeconomia Croatica, 2013-09)
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    Martinovska Stojcheska, Aleksandra
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    Öhlmér, Bo
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    Macedonia has been a candidate-country for EU membership since 2005. The EU integrative process, without doubt, will have an impact on the Macedonian economy and particularly on the agricultural sector. So far, the farmers’ attitude and intentions with regard to the EU integration and accession have not been thoroughly investigated. Respectively, the objective of the paper is to provide understanding of the Macedonian farmers’ attitude and behavioural intentions in the context of EU accession and the potential policy and market changes. Furthermore, another issue is to establish whether there are significant discrepancies among farmers and their attitude towards EU accession. The results revealed that the farmer community in the country is quite heterogeneous in terms of farm and farmers’ profiles and farm management practices. The cluster analysis suggests that there are four clusters according to which the variables explaining the attitudes were significantly different, provisionally labelled as “optimist “, “moderate”, “restrained” and “sceptic”.
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    Item type:Publication,
    A Multi-criteria Decision Making Approach for Prioritization of the Common Market Organization Policy Measures in North Macedonia
    (Springer International Publishing, 2021)
    Janeska Stamenkovska, Ivana
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    Nikolov, Dimitre
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    Elenov, Riste
    Introduction of market regulation policy measures should be conducted gradually in countries that are in the process of approximation towards the European Union Common Agricultural Policy. Such policies are often implemented in complex socio-economic settings, where numerous stakeholders hold different and potentially conflicting values. Therefore, an effective implementation of Common Market Organization (CMO) policies in aspiring countries requires prioritization of the different available policy instruments. The aim of this study is to determine the farmers’ preferences in context of introduction of key CMO policy measures in North Macedonia. This paper presents an Analytical Hierarchy Process based modelling framework, as a multi-criteria decision making technique, for prioritization of the CMO interventions for fresh fruits and vegetables. The results suggest that four policy measures are prioritized, among which the measures supporting the establishment of producers’ organizations and for products withdrawal are most prominent (45% of vegetable producers and 57% of fruit growers). Another priority is further given to the policy instruments supporting the introduction and the implementation of the marketing standards for fresh fruits and vegetables, followed by the introduction of the schools’ schemes. Analyses of this kind, considering the bottom-up approach in valuing the farmers’ opinions and needs for introduction of certain policy measures are scarce in practice, but are very important in tailoring the agricultural policy to the real needs of its beneficiaries. Therefore, the presented methodology might be beneficial for introduction and implementation of other policy instruments, but also in other countries aspiring to become a part of the European Union.
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    Item type:Publication,
    Assessing technical efficiency of vegetable farms in North Macedonia
    (Journal of Central European Agriculture, 2021)
    Martinovska Stojcheska, Aleksandra
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    Janeska Stamenkovska, Ivana
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    Žgajnar, Jaka
    Farm economic performance measuring is important for farm management purposes and for assessing the impact of agricultural policy measures. Efficiency studies enable assessment of farm performance since highly efficient farms are considered to have higher potential for operating in a changing economic and technological environment. The aim of this paper is to assess the technical efficiency of vegetable farms in North Macedonia, utilising Data Envelopment Analysis, as a non-parametric approach estimating the relative efficiency of decision making units producing multiple outputs and using multiple inputs. The analysis is based on Farm Monitoring System data including 75 vegetable farms in 2011 survey. Apart from baseline scenario, additional scenarios include available agricultural policy support in 2011 and 2016. The average technical efficiency of vegetable farms is 0.62 considering constant returns to scale, i.e. 0.71 and 0.75 considering variable returns to scale (in output and input oriented perspective, respectively). With better farm management, technical efficiency score can be improved on average by 25%. Technical efficiency increases slightly with subsidies, on average by 2 to 3%. Analyses based on farm level data, are valuable when estimating the effects of implementation of agricultural policy as well as when creating new policy interventions.