Pub Date : 2021-06-25DOI: 10.17221/418/2020-AGRICECON
S. Lozano, B. Adenso-Díaz
This paper proposes a model for determining the most advantageous merger within a set of dairy farms. It uses data envelopment analysis (DEA) to estimate the total technical efficiency improvement that the merger would produce and for decomposing it into a learning effect and a pure merger effect. A design of experiments has also been carried to test the effects of various factors (the total number of farms, the standard deviation of herd size, the percentage of farms exhibiting increasing returns to scale, the standard deviation of the current technical efficiency of the farms) on different response variables (the percentage of farms involved in the merger, the reduction of herd size and the efficiency improvement obtained by the merger). The results show that the disparity in the herd size of the farms in a region and the percentage of farms that exhibit increasing returns to scale increase the number of farms that enter into the most advantageous merger. The disparity of herd size also increases the number of cows that are not needed after the merger. Finally, the expected efficiency improvement increases with the total number of farms.
{"title":"A DEA approach for merging dairy farms","authors":"S. Lozano, B. Adenso-Díaz","doi":"10.17221/418/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/418/2020-AGRICECON","url":null,"abstract":"This paper proposes a model for determining the most advantageous merger within a set of dairy farms. It uses data envelopment analysis (DEA) to estimate the total technical efficiency improvement that the merger would produce and for decomposing it into a learning effect and a pure merger effect. A design of experiments has also been carried to test the effects of various factors (the total number of farms, the standard deviation of herd size, the percentage of farms exhibiting increasing returns to scale, the standard deviation of the current technical efficiency of the farms) on different response variables (the percentage of farms involved in the merger, the reduction of herd size and the efficiency improvement obtained by the merger). The results show that the disparity in the herd size of the farms in a region and the percentage of farms that exhibit increasing returns to scale increase the number of farms that enter into the most advantageous merger. The disparity of herd size also increases the number of cows that are not needed after the merger. Finally, the expected efficiency improvement increases with the total number of farms.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":"190 1","pages":"209-219"},"PeriodicalIF":2.2,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78741698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-20DOI: 10.17221/371/2020-AGRICECON
Fachry Husein Rosyadi, J. Mulyo, H. Perwitasari, D. Darwanto
Palm oil is a superior product from Indonesia that is continuously and widely used for daily needs such as cooking, grooming, and manufacturing. However, this potential must be supported by oil palm business actors' performance to maintain its intensity and competitiveness. This study investigates how various factors affect Indonesia's crude palm oil (CPO) export intensity and competitiveness by employing panel regression and the basic gravity model. The panel data used here is a 20-year time series with cross-sections from five major importers from 1999 to 2018. The results show that the importer's gross domestic product (GDP) and quantity of export significantly and positively affect Indonesia's CPO export intensity, while the exporter's GDP and economic distance has a significant and negative effect. The factors that positively and significantly influence competitiveness are soybean's import value and Roundtable on Sustainable Palm Oil (RSPO) certification, while Malaysian CPO's export and population of importing countries negatively affect Indonesian CPO competitiveness.
{"title":"Export intensity and competitiveness of Indonesia's crude palm oil to main destination countries","authors":"Fachry Husein Rosyadi, J. Mulyo, H. Perwitasari, D. Darwanto","doi":"10.17221/371/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/371/2020-AGRICECON","url":null,"abstract":"Palm oil is a superior product from Indonesia that is continuously and widely used for daily needs such as cooking, grooming, and manufacturing. However, this potential must be supported by oil palm business actors' performance to maintain its intensity and competitiveness. This study investigates how various factors affect Indonesia's crude palm oil (CPO) export intensity and competitiveness by employing panel regression and the basic gravity model. The panel data used here is a 20-year time series with cross-sections from five major importers from 1999 to 2018. The results show that the importer's gross domestic product (GDP) and quantity of export significantly and positively affect Indonesia's CPO export intensity, while the exporter's GDP and economic distance has a significant and negative effect. The factors that positively and significantly influence competitiveness are soybean's import value and Roundtable on Sustainable Palm Oil (RSPO) certification, while Malaysian CPO's export and population of importing countries negatively affect Indonesian CPO competitiveness.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":"37 1","pages":"189-199"},"PeriodicalIF":2.2,"publicationDate":"2021-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85747741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-20DOI: 10.17221/480/2020-AGRICECON
T. Yin, Yiming Wang
We use chaotic artificial neural network (CANN) technology to predict the price of the most widely traded agricultural futures – soybean futures. The nonlinear existence test results show that the time series of soybean futures have multifractal dynamics, long-range dependence, self similarity, and chaos characteristics. This also provides a basis for the construction of a CANN model. Compared with the artificial neural network (ANN) structure as our benchmark system, the predictability of CANN is much higher. The ANN is based on Gaussian kernel function and is only suitable for local approximation of nonstationary signals, so it cannot approach the global nonlinear chaotical hidden pattern. Improving the prediction accuracy of soybean futures prices is of great significance for investors, soybean producers, and decision makers.
{"title":"Nonlinear analysis and prediction of soybean futures","authors":"T. Yin, Yiming Wang","doi":"10.17221/480/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/480/2020-AGRICECON","url":null,"abstract":"We use chaotic artificial neural network (CANN) technology to predict the price of the most widely traded agricultural futures – soybean futures. The nonlinear existence test results show that the time series of soybean futures have multifractal dynamics, long-range dependence, self similarity, and chaos characteristics. This also provides a basis for the construction of a CANN model. Compared with the artificial neural network (ANN) structure as our benchmark system, the predictability of CANN is much higher. The ANN is based on Gaussian kernel function and is only suitable for local approximation of nonstationary signals, so it cannot approach the global nonlinear chaotical hidden pattern. Improving the prediction accuracy of soybean futures prices is of great significance for investors, soybean producers, and decision makers.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":"110 1","pages":"200-207"},"PeriodicalIF":2.2,"publicationDate":"2021-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78104327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-20DOI: 10.17221/22/2021-AGRICECON
T. Rudinskaya, I. Bošková
The standard economic price theory of working with efficient source allocation is being confronted with a series of empirical findings of asymmetric price responses. The objective of the research was to examine whether the distribution of prices within the dairy chain in the Czech Republic was fair and whether farmers progressed in a collective approach to strengthen their position in the supply chain. We used the pre-cointegration and cointegration approach to test for asymmetry in the transmission of farm milk prices throughout the supply chain. Furthermore, we measured the development of market concentration by means of the Herfindahl-Hirschman index and discussed the background of the figures with producer organisation representatives. The results proved there were asymmetric price transmissions. In response, farmers consolidated and concentrated their milk sales. The concentration should not yet be understood as a goal but as a means to the next steps.
{"title":"Asymmetric price transmission and farmers' response in the Czech dairy chain","authors":"T. Rudinskaya, I. Bošková","doi":"10.17221/22/2021-AGRICECON","DOIUrl":"https://doi.org/10.17221/22/2021-AGRICECON","url":null,"abstract":"The standard economic price theory of working with efficient source allocation is being confronted with a series of empirical findings of asymmetric price responses. The objective of the research was to examine whether the distribution of prices within the dairy chain in the Czech Republic was fair and whether farmers progressed in a collective approach to strengthen their position in the supply chain. We used the pre-cointegration and cointegration approach to test for asymmetry in the transmission of farm milk prices throughout the supply chain. Furthermore, we measured the development of market concentration by means of the Herfindahl-Hirschman index and discussed the background of the figures with producer organisation representatives. The results proved there were asymmetric price transmissions. In response, farmers consolidated and concentrated their milk sales. The concentration should not yet be understood as a goal but as a means to the next steps.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":"65 1","pages":"163-172"},"PeriodicalIF":2.2,"publicationDate":"2021-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84936120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-20DOI: 10.17221/452/2020-AGRICECON
P. Vrabcová, H. Urbancová
High-quality information systems explicitly focused on working with people help companies meet the increasingly complex requirements for registration of attendance, forms, employment contracts, and much more The article's main goal is to identify areas of human resources management for which agricultural companies in the Czech Republic use information systems to increase the efficiency of processes and evaluate the development of their usage with regard to the support of digitisation The data, which were subjected to factor analysis, were obtained via a questionnaire survey from selected 70 agricultural companies in the Czech Republic and via qualitative research (focus group, n = 7) The largest share of monitored agricultural holdings is using IT systems in the area of personal data, while the smallest share of monitored agricultural holdings is using software for monitoring education and knowledge transfer Factor analysis identified 4 factors that characterise agricultural companies according to the use of information and communication technologies (ICT) in human resource management The results show that in terms of the current shift of the entire agriculture towards digitisation, the use of ICT in staff management of companies cannot be neglected The outbreak of the COVID-19 pandemic exacerbates the use of ICT [ABSTRACT FROM AUTHOR] Copyright of Agricultural Economics / Zemedelska Ekonomika is the property of Czech Academy of Agricultural Sciences (CAAS) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )
{"title":"Use of human resources information system in agricultural companies in the Czech Republic","authors":"P. Vrabcová, H. Urbancová","doi":"10.17221/452/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/452/2020-AGRICECON","url":null,"abstract":"High-quality information systems explicitly focused on working with people help companies meet the increasingly complex requirements for registration of attendance, forms, employment contracts, and much more The article's main goal is to identify areas of human resources management for which agricultural companies in the Czech Republic use information systems to increase the efficiency of processes and evaluate the development of their usage with regard to the support of digitisation The data, which were subjected to factor analysis, were obtained via a questionnaire survey from selected 70 agricultural companies in the Czech Republic and via qualitative research (focus group, n = 7) The largest share of monitored agricultural holdings is using IT systems in the area of personal data, while the smallest share of monitored agricultural holdings is using software for monitoring education and knowledge transfer Factor analysis identified 4 factors that characterise agricultural companies according to the use of information and communication technologies (ICT) in human resource management The results show that in terms of the current shift of the entire agriculture towards digitisation, the use of ICT in staff management of companies cannot be neglected The outbreak of the COVID-19 pandemic exacerbates the use of ICT [ABSTRACT FROM AUTHOR] Copyright of Agricultural Economics / Zemedelska Ekonomika is the property of Czech Academy of Agricultural Sciences (CAAS) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":"65 1","pages":"173-180"},"PeriodicalIF":2.2,"publicationDate":"2021-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91082186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-20DOI: 10.17221/417/2020-AGRICECON
R. Grochowska, A. Pawłowska, A. Skarżyńska
The study aimed to examine the changes in income inequalities in Polish farms and the impact of introducing the threshold of direct payments for farms (EUR 60 000) to form these inequalities. The research was based on data from the Farm Accountancy Data Network (FADN) for the years: 2006, 2013 and 2018. In each year, the sample included at least 10 000 observations that represented over 700 000 farms. The results were verified using statistical tests relating to the comparisons of averages and distributions of farm income for two samples and the Gini coefficient. The study noted deepening income inequalities in Polish farms, as evidenced by the increasing value of the Gini coefficient in the subsequent years and the growing share of payments in the formation of these inequalities. Neither for the sample analysed nor the field of observation of farms will introduce the threshold for direct payments per farm of at least EUR 60 000 (including labour costs) change the polarisation of income.
{"title":"Searching for more balanced distribution of direct payments among agricultural farms in the CAP post-2020","authors":"R. Grochowska, A. Pawłowska, A. Skarżyńska","doi":"10.17221/417/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/417/2020-AGRICECON","url":null,"abstract":"The study aimed to examine the changes in income inequalities in Polish farms and the impact of introducing the threshold of direct payments for farms (EUR 60 000) to form these inequalities. The research was based on data from the Farm Accountancy Data Network (FADN) for the years: 2006, 2013 and 2018. In each year, the sample included at least 10 000 observations that represented over 700 000 farms. The results were verified using statistical tests relating to the comparisons of averages and distributions of farm income for two samples and the Gini coefficient. The study noted deepening income inequalities in Polish farms, as evidenced by the increasing value of the Gini coefficient in the subsequent years and the growing share of payments in the formation of these inequalities. Neither for the sample analysed nor the field of observation of farms will introduce the threshold for direct payments per farm of at least EUR 60 000 (including labour costs) change the polarisation of income.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":"1 1","pages":"181-188"},"PeriodicalIF":2.2,"publicationDate":"2021-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90204354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-19DOI: 10.17221/459/2020-AGRICECON
P. Bórawski, Marta Guth, A. Parzonko, T. Rokicki, A. Perkowska, J. W. Dunn
Milk and dairy products help meet the nutritional needs of the population. The main goal of this research was to analyse price volatility of milk and dairy products in Poland after accession to the European Union (EU). Price is the main economic influencer. We used 161 monthly observations from 01. 2007 to 05. 2020 to analyse the price changes. To measure the volatility, we have used Augmented Dickey-Fuller test (ADF test), Autoregressive-Moving-Average model (ARMA model), and Granger test. Our research confirmed high volatility of milk and dairy products prices. The ARMA model confirmed that the dairy product prices are stationary. Milk, butter and Gouda cheese are also useful for forecasting.
{"title":"Price volatility of milk and dairy products in Poland after accession to the EU","authors":"P. Bórawski, Marta Guth, A. Parzonko, T. Rokicki, A. Perkowska, J. W. Dunn","doi":"10.17221/459/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/459/2020-AGRICECON","url":null,"abstract":"Milk and dairy products help meet the nutritional needs of the population. The main goal of this research was to analyse price volatility of milk and dairy products in Poland after accession to the European Union (EU). Price is the main economic influencer. We used 161 monthly observations from 01. 2007 to 05. 2020 to analyse the price changes. To measure the volatility, we have used Augmented Dickey-Fuller test (ADF test), Autoregressive-Moving-Average model (ARMA model), and Granger test. Our research confirmed high volatility of milk and dairy products prices. The ARMA model confirmed that the dairy product prices are stationary. Milk, butter and Gouda cheese are also useful for forecasting.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":"49 1","pages":"111-119"},"PeriodicalIF":2.2,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86478475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-19DOI: 10.17221/415/2020-AGRICECON
Łukasz Kryszak, Marta Guth, B. Czyżewski
Farms in the European Union come in a wide variety of sizes and the effect of farm size on profitability (return on assets – ROA) has not been sufficiently investigated. The principal goal of this paper, therefore, is to study the determinants of farm profitability using the panels of the Farm Accountancy Data Network (FADN) on farms of different economic size between 2007 and 2018. We use a profitability function based on ratios that show the production and financial management strategies used by the farms. We also analyse the impact of subsidies under the Common Agricultural Policy (CAP). To deal with endogeneity, we run dynamic panel models using the system generalised method of moments (sys-GMM) estimators. We highlight the important role of the high level of equity turnover. An increase in production relative to the farm's equity plays a crucial role in the growth of profitability for all groups of farms, but it is especially important for smaller entities. In addition, farm managers should control the level of debt since the debt-to-asset ratio is a highly significant negative determinant of farm profitability in most of the groups. The increase in subsidy rate generally translates into higher ROA, but this variable has a negative impact across the largest holdings.
{"title":"Determinants of farm profitability in the EU regions. Does farm size matter?","authors":"Łukasz Kryszak, Marta Guth, B. Czyżewski","doi":"10.17221/415/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/415/2020-AGRICECON","url":null,"abstract":"Farms in the European Union come in a wide variety of sizes and the effect of farm size on profitability (return on assets – ROA) has not been sufficiently investigated. The principal goal of this paper, therefore, is to study the determinants of farm profitability using the panels of the Farm Accountancy Data Network (FADN) on farms of different economic size between 2007 and 2018. We use a profitability function based on ratios that show the production and financial management strategies used by the farms. We also analyse the impact of subsidies under the Common Agricultural Policy (CAP). To deal with endogeneity, we run dynamic panel models using the system generalised method of moments (sys-GMM) estimators. We highlight the important role of the high level of equity turnover. An increase in production relative to the farm's equity plays a crucial role in the growth of profitability for all groups of farms, but it is especially important for smaller entities. In addition, farm managers should control the level of debt since the debt-to-asset ratio is a highly significant negative determinant of farm profitability in most of the groups. The increase in subsidy rate generally translates into higher ROA, but this variable has a negative impact across the largest holdings.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":"57 1","pages":"90-100"},"PeriodicalIF":2.2,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81426953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-19DOI: 10.17221/260/2020-AGRICECON
Sefa Işık, Fatih Cemil Özbuğday
Food price inflation has been a significant subject of debate in Turkey since food prices soared in 2018. The study examines the linkage between agricultural input prices and food prices in Turkey by using quantitative method approaches with the monthly data spanning from 2015-M01 to 2020-M01. A co-integration analysis is performed using the autoregressive-distributed lag (ARDL) bounds test approach and Maki co-integration test with structural breaks. Additionally, the fully modified ordinary least square (FMOLS), dynamic ordinary least squares (DOLS), and canonical co-integrating regression (CCR) are applied to verify the results of the ARDL approach. The analysis demonstrates a significant, long-running relationship between agricultural input prices and food prices in Turkey. The long-run agricultural input price elasticities are found to be in the range of 1.30–1.36.
{"title":"The impact of agricultural input costs on food prices in Turkey: A case study","authors":"Sefa Işık, Fatih Cemil Özbuğday","doi":"10.17221/260/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/260/2020-AGRICECON","url":null,"abstract":"Food price inflation has been a significant subject of debate in Turkey since food prices soared in 2018. The study examines the linkage between agricultural input prices and food prices in Turkey by using quantitative method approaches with the monthly data spanning from 2015-M01 to 2020-M01. A co-integration analysis is performed using the autoregressive-distributed lag (ARDL) bounds test approach and Maki co-integration test with structural breaks. Additionally, the fully modified ordinary least square (FMOLS), dynamic ordinary least squares (DOLS), and canonical co-integrating regression (CCR) are applied to verify the results of the ARDL approach. The analysis demonstrates a significant, long-running relationship between agricultural input prices and food prices in Turkey. The long-run agricultural input price elasticities are found to be in the range of 1.30–1.36.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":"1 1","pages":"101-110"},"PeriodicalIF":2.2,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82262099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-04DOI: 10.17221/381/2020-AGRICECON
H. Urbancová, P. Vrabcová
Strategic documents are considered the basic tools for managing and coordinating any company's development, setting the basic development directions and goals that the company wants to achieve and the ways to achieve them. It is always necessary to reconcile the diverse interests of interest groups in relation to the development of a given enterprise to make efficient use of resources and opportunities, as far as possible without conflicts. The classification, meaning, and contents of companies' strategic documents are most often based on their established practice. The article's main goal is to identify the level of implementation of a group of implemented strategic documents aimed at increasing the efficiency and competitiveness of agricultural enterprises in the Czech Republic. The data, which were subjected to factor analysis, were obtained via a questionnaire survey from 70 agricultural enterprises in the Czech Republic. The results part contains also results from qualitative research (focus group, n = 7). The results showed that agricultural enterprises implement groups of so-called conservative strategies and competence development strategies. Most of the surveyed agricultural enterprises have a formulated innovation strategy, while 56% of enterprises do not have an implemented environmental strategy.
{"title":"Implementing selected strategic documents focused on increasing efficiency and competitiveness of agricultural enterprises in the Czech Republic","authors":"H. Urbancová, P. Vrabcová","doi":"10.17221/381/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/381/2020-AGRICECON","url":null,"abstract":"Strategic documents are considered the basic tools for managing and coordinating any company's development, setting the basic development directions and goals that the company wants to achieve and the ways to achieve them. It is always necessary to reconcile the diverse interests of interest groups in relation to the development of a given enterprise to make efficient use of resources and opportunities, as far as possible without conflicts. The classification, meaning, and contents of companies' strategic documents are most often based on their established practice. The article's main goal is to identify the level of implementation of a group of implemented strategic documents aimed at increasing the efficiency and competitiveness of agricultural enterprises in the Czech Republic. The data, which were subjected to factor analysis, were obtained via a questionnaire survey from 70 agricultural enterprises in the Czech Republic. The results part contains also results from qualitative research (focus group, n = 7). The results showed that agricultural enterprises implement groups of so-called conservative strategies and competence development strategies. Most of the surveyed agricultural enterprises have a formulated innovation strategy, while 56% of enterprises do not have an implemented environmental strategy.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":"77 1","pages":"144-151"},"PeriodicalIF":2.2,"publicationDate":"2021-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76069223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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