Pub Date : 2021-02-26DOI: 10.17221/444/2020-AGRICECON
Ľ. Szabo, Patrik Richnák, Klaudia Gubová
The research article's primary aim was to provide a comprehensive and systematic view of a new dimension of logistics in the form of logistics innovations in agricultural enterprises in Slovakia. The intention thereof was to define and then analyse selected logistics innovations in agricultural enterprises. The research object was formed by 95 agricultural enterprises in Slovakia. A questionnaire was used as the research instrument. MS Excel and IBM SPSS Statistics 20 were used to process the data in the questionnaire. The univariate descriptive statistics and multivariate descriptive statistics were used to interpret the data. The research results were tested and evaluated by means of Spearman's rank correlation coefficient. Medium-sized agricultural enterprises in Slovakia represented the largest segment (68%) of the study. The agricultural enterprises mostly understand the use of smart technologies as an innovation in logistics (mean = 4.43). The results of the research showed that the analysed agricultural enterprises intend to innovate mainly the production logistics (mean = 3.20). Out of the logistics processes, the agricultural enterprises want to innovate mostly the inventory management (mean = 4.55). Lean logistics is the most frequently implemented logistics innovation in agricultural enterprises (mean = 3.64). The hypothesis testing has proven that there is a statistically significant relationship between the utilisation of lean logistics and production logistics innovation. In addition, it was proven that there is a statistically significant relationship between the utilisation of radio frequency identification (RFID) and the logistics process innovation – inventory management.
{"title":"New dimension of logistics innovations development in agricultural enterprises in Slovakia","authors":"Ľ. Szabo, Patrik Richnák, Klaudia Gubová","doi":"10.17221/444/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/444/2020-AGRICECON","url":null,"abstract":"The research article's primary aim was to provide a comprehensive and systematic view of a new dimension of logistics in the form of logistics innovations in agricultural enterprises in Slovakia. The intention thereof was to define and then analyse selected logistics innovations in agricultural enterprises. The research object was formed by 95 agricultural enterprises in Slovakia. A questionnaire was used as the research instrument. MS Excel and IBM SPSS Statistics 20 were used to process the data in the questionnaire. The univariate descriptive statistics and multivariate descriptive statistics were used to interpret the data. The research results were tested and evaluated by means of Spearman's rank correlation coefficient. Medium-sized agricultural enterprises in Slovakia represented the largest segment (68%) of the study. The agricultural enterprises mostly understand the use of smart technologies as an innovation in logistics (mean = 4.43). The results of the research showed that the analysed agricultural enterprises intend to innovate mainly the production logistics (mean = 3.20). Out of the logistics processes, the agricultural enterprises want to innovate mostly the inventory management (mean = 4.55). Lean logistics is the most frequently implemented logistics innovation in agricultural enterprises (mean = 3.64). The hypothesis testing has proven that there is a statistically significant relationship between the utilisation of lean logistics and production logistics innovation. In addition, it was proven that there is a statistically significant relationship between the utilisation of radio frequency identification (RFID) and the logistics process innovation – inventory management.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72863287","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 : 2021-02-26DOI: 10.17221/467/2020-AGRICECON
F. Gambella, L. Bianchini, M. Cecchini, G. Egidi, A. Ferrara, L. Salvati, A. Colantoni, Donato Morea
Southern Europe is becoming a hotspot for climate change. Appropriate mechanisation is necessary for reducing soil compacting in such contexts. The olive tree distribution – a typical Mediterranean crop – showed a well-defined latitude gradient with progressive decline moving towards the north. Climate change, however, has supposed to cause a significant shift towards the north in the geographical range of olive trees. Our study analyses the spatial distribution of the olive tree area in Italy, a region within the species' ecological range apart from the Northern region, which is now becoming progressively specialised in this crop because of local warming. Results indicate that olive cultivated area increased in Northern Italy, especially in flat districts and upland areas, while decreasing (more or less rapidly) in central and southern Italy because of land abandonment.
{"title":"Moving toward the north? The spatial shift of olive groves in Italy","authors":"F. Gambella, L. Bianchini, M. Cecchini, G. Egidi, A. Ferrara, L. Salvati, A. Colantoni, Donato Morea","doi":"10.17221/467/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/467/2020-AGRICECON","url":null,"abstract":"Southern Europe is becoming a hotspot for climate change. Appropriate mechanisation is necessary for reducing soil compacting in such contexts. The olive tree distribution – a typical Mediterranean crop – showed a well-defined latitude gradient with progressive decline moving towards the north. Climate change, however, has supposed to cause a significant shift towards the north in the geographical range of olive trees. Our study analyses the spatial distribution of the olive tree area in Italy, a region within the species' ecological range apart from the Northern region, which is now becoming progressively specialised in this crop because of local warming. Results indicate that olive cultivated area increased in Northern Italy, especially in flat districts and upland areas, while decreasing (more or less rapidly) in central and southern Italy because of land abandonment.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79733176","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 : 2021-02-25DOI: 10.17221/412/2020-AGRICECON
J. Špička, Petr Dereník
The post-2020 Common Agricultural Policy targets at supporting small and medium-sized farms. Capping and redistribution of direct payments would have a direct impact on the economic viability of farms. Calculation of economic income is a reasonable way how to calculate the economic viability of firms. However, accounting profit has been preferred for its estimation so far. The article aims to compare the income from accounting and economic point of view and reveal how much the results differ across the EU. The literature review, an empirical analysis based on Farm Accountancy Data Network (2016–2018), and a clustered heat map were applied. The results provide clear evidence of high variability of opportunity costs when calculating the economic viability in the EU, especially between countries with small intensive farms and some post-communist countries where larger farms dominate.
{"title":"How opportunity costs change the view on the viability of farms? Empirical evidence from the EU","authors":"J. Špička, Petr Dereník","doi":"10.17221/412/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/412/2020-AGRICECON","url":null,"abstract":"The post-2020 Common Agricultural Policy targets at supporting small and medium-sized farms. Capping and redistribution of direct payments would have a direct impact on the economic viability of farms. Calculation of economic income is a reasonable way how to calculate the economic viability of firms. However, accounting profit has been preferred for its estimation so far. The article aims to compare the income from accounting and economic point of view and reveal how much the results differ across the EU. The literature review, an empirical analysis based on Farm Accountancy Data Network (2016–2018), and a clustered heat map were applied. The results provide clear evidence of high variability of opportunity costs when calculating the economic viability in the EU, especially between countries with small intensive farms and some post-communist countries where larger farms dominate.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91216929","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 : 2021-02-25DOI: 10.17221/226/2020-AGRICECON
Fatima Lambarraa-Lehnhardt, R. Ihle, Khadija Mhaouch
Origin labelling is one of the most prominent approaches in the Green Morocco Plan with which the Moroccan government aims to support the marketing of domestically produced food and then improve the income of smallholder farmers. We analyse the preferences and attitudes of Moroccan consumers towards the recently established Protected Geographical Indication label "Majhoul dates of Tafilalet". The analysis is based on a survey of 303 Moroccan consumers and focuses on the influence of the label as extrinsic attribute on consumer choice. We use cluster analysis to segment the market and the Analytical Hierarchy Process to shed light on preferences of consumers under this labelling strategy. Results indicate two consumer types. The largest group seeks authenticity, origin, and quality. The label of origin in general and the origin from the oasis of Tafilalet in particular are the most important attributes affecting the purchasing decisions which fit with the goal of the labelling strategy implanted as part of the policy. The acceptance of the labelling by Moroccan consumers implies that the neighbouring countries might pursue similar approaches to support rural livelihoods in arid areas.
{"title":"Geographical indications for supporting rural development in the context of the Green Morocco Plan: Oasis dates","authors":"Fatima Lambarraa-Lehnhardt, R. Ihle, Khadija Mhaouch","doi":"10.17221/226/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/226/2020-AGRICECON","url":null,"abstract":"Origin labelling is one of the most prominent approaches in the Green Morocco Plan with which the Moroccan government aims to support the marketing of domestically produced food and then improve the income of smallholder farmers. We analyse the preferences and attitudes of Moroccan consumers towards the recently established Protected Geographical Indication label \"Majhoul dates of Tafilalet\". The analysis is based on a survey of 303 Moroccan consumers and focuses on the influence of the label as extrinsic attribute on consumer choice. We use cluster analysis to segment the market and the Analytical Hierarchy Process to shed light on preferences of consumers under this labelling strategy. Results indicate two consumer types. The largest group seeks authenticity, origin, and quality. The label of origin in general and the origin from the oasis of Tafilalet in particular are the most important attributes affecting the purchasing decisions which fit with the goal of the labelling strategy implanted as part of the policy. The acceptance of the labelling by Moroccan consumers implies that the neighbouring countries might pursue similar approaches to support rural livelihoods in arid areas.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72608279","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 : 2021-02-25DOI: 10.17221/393/2020-AGRICECON
Yessica C. Y. Chung, Hung‐Hao Chang, Y. Kitamura
Can digital media advertising strategies benefit agribusiness farms? This study addresses this issue by investigating the extent to which digital and traditional media advertising strategies affect agribusiness performance and the underlying factors associated with agribusiness farms' adoption decisions. We estimate a non-linear simultaneous equation system and use a population-based survey data of agricultural processing farms in Japan. We find that female and younger farm operators', as well as incorporated agribusiness farms, are more likely to adopt digital media advertising. The sales value of digital media advertising users is higher by 51% than that of non-users. Moreover, the effect of digital advertising is not equally distributed among farms. Family farms and farms located in rural areas benefit more from the adoption of digital media advertising.
{"title":"Digital and traditional media advertising and business performance of agribusiness firms – Empirical evidence in Japan","authors":"Yessica C. Y. Chung, Hung‐Hao Chang, Y. Kitamura","doi":"10.17221/393/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/393/2020-AGRICECON","url":null,"abstract":"Can digital media advertising strategies benefit agribusiness farms? This study addresses this issue by investigating the extent to which digital and traditional media advertising strategies affect agribusiness performance and the underlying factors associated with agribusiness farms' adoption decisions. We estimate a non-linear simultaneous equation system and use a population-based survey data of agricultural processing farms in Japan. We find that female and younger farm operators', as well as incorporated agribusiness farms, are more likely to adopt digital media advertising. The sales value of digital media advertising users is higher by 51% than that of non-users. Moreover, the effect of digital advertising is not equally distributed among farms. Family farms and farms located in rural areas benefit more from the adoption of digital media advertising.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86120062","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 : 2021-02-25DOI: 10.17221/411/2020-AGRICECON
D. Živkov, P. Balaban, B. Kuzman
This paper tries to find out which precious metal futures are the best hedging tools for corn spot commodity, taking into account three different risk measures – variance (Var), value at risk (VaR), and conditional value at risk (CVaR). For computation purposes, we use an optimal dynamic conditional correlation (DCC) specification for every considered pair. Our findings indicate that portfolio with gold outperforms the other three precious metals (silver, platinum, and palladium) with respect to all three risk metrics. The reason for such findings is two-fold. First, gold has the lowest average dynamic correlation with corn (below 11%), and gold also has the lowest average risk of all precious metals. The second-best combination is corn-platinum, whereas the corn-silver pair gives the worst hedging results. This happens because silver has the highest average dynamic correlation with corn (14.5%), but more importantly, silver is the riskiest commodity, which makes this asset unsuitable for combining with corn. According to the results, the ratio between corn and gold in a two-asset portfolio should be about 27 : 73.
{"title":"How to combine precious metals with corn in a risk-minimizing two-asset portfolio?","authors":"D. Živkov, P. Balaban, B. Kuzman","doi":"10.17221/411/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/411/2020-AGRICECON","url":null,"abstract":"This paper tries to find out which precious metal futures are the best hedging tools for corn spot commodity, taking into account three different risk measures – variance (Var), value at risk (VaR), and conditional value at risk (CVaR). For computation purposes, we use an optimal dynamic conditional correlation (DCC) specification for every considered pair. Our findings indicate that portfolio with gold outperforms the other three precious metals (silver, platinum, and palladium) with respect to all three risk metrics. The reason for such findings is two-fold. First, gold has the lowest average dynamic correlation with corn (below 11%), and gold also has the lowest average risk of all precious metals. The second-best combination is corn-platinum, whereas the corn-silver pair gives the worst hedging results. This happens because silver has the highest average dynamic correlation with corn (14.5%), but more importantly, silver is the riskiest commodity, which makes this asset unsuitable for combining with corn. According to the results, the ratio between corn and gold in a two-asset portfolio should be about 27 : 73.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73380752","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 : 2021-02-22DOI: 10.17221/442/2020-AGRICECON
M. Chocholoušek, Z. Hloušková, T. Šímová, J. Huml
Farms generally produce products with low differentiation. To reach an increase in the profit and sales, product differentiation is one of the potential strategies that could be successfully applied. This paper identifies "Intermediate Consumption/Total Output" as a simple and user-friendly indicator for farm product differentiation performance and comparison assessment in the Czech Republic, based on a two-step cluster analysis performed on 1 225 farms with different operating conditions and reproduction process characteristics in the Czech Republic. The data are sourced from Farm Accountancy Data Network (FADN CZ). Four farm clusters based on product differentiation levels are identified and described from the point of view of the production process and conditions. The resulting cluster profiles, in general, indicate the production conditions and process affecting the resulting product differentiation. Nevertheless, farms deliver extraordinary product differentiation values in fields with less favourable conditions and production processes. Those have the potential to be an inspiration for farms with lower product differentiation values. The result of this paper provides hope, less favourable conditions are not a limit for formidable performance. This paper result can be practically applied by anyone aiming to easily identify, evaluate, and compare farm product differentiation levels.
{"title":"Agriculture farms product differentiation assessment in the Czech Republic","authors":"M. Chocholoušek, Z. Hloušková, T. Šímová, J. Huml","doi":"10.17221/442/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/442/2020-AGRICECON","url":null,"abstract":"Farms generally produce products with low differentiation. To reach an increase in the profit and sales, product differentiation is one of the potential strategies that could be successfully applied. This paper identifies \"Intermediate Consumption/Total Output\" as a simple and user-friendly indicator for farm product differentiation performance and comparison assessment in the Czech Republic, based on a two-step cluster analysis performed on 1 225 farms with different operating conditions and reproduction process characteristics in the Czech Republic. The data are sourced from Farm Accountancy Data Network (FADN CZ). Four farm clusters based on product differentiation levels are identified and described from the point of view of the production process and conditions. The resulting cluster profiles, in general, indicate the production conditions and process affecting the resulting product differentiation. Nevertheless, farms deliver extraordinary product differentiation values in fields with less favourable conditions and production processes. Those have the potential to be an inspiration for farms with lower product differentiation values. The result of this paper provides hope, less favourable conditions are not a limit for formidable performance. This paper result can be practically applied by anyone aiming to easily identify, evaluate, and compare farm product differentiation levels.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2021-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86116011","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 : 2021-02-17DOI: 10.17221/474/2020-AGRICECON
Irena Antošová, Naďa Hazuchová, J. Stávková
One of objectives of the Common Agricultural Policy is to ensure an appropriate living standard for agricultural households. The paper uses EU-Statistics on Income and Living Conditions (EU-SILC) data to assess the income situation and living conditions of agricultural households. The agricultural household income does not reach the average household income in any of the EU countries. Multidimensional cluster analysis is applied to classify EU countries according to the income situation of agricultural households. The cluster analysis revealed five segments and the fact that living conditions at a satisfactory level can be achieved irrespective of the economic status of the agricultural household, although it depends on an appropriate setting of agricultural policy. The index of living conditions is constructed and used for the comparison. Based on the analysis results, the variables included in the assessment of the living standard of agricultural households should be taken into account when fulfilling the objectives of the Common Agricultural Policy, especially the part that relates to improving the living conditions of agricultural households. The current EU-SILC database is appropriate for the evaluation of the household income situation. However, it does not reflect the specifics of agricultural households, so additional measurement is needed.
{"title":"Income situation of agricultural households of EU countries","authors":"Irena Antošová, Naďa Hazuchová, J. Stávková","doi":"10.17221/474/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/474/2020-AGRICECON","url":null,"abstract":"One of objectives of the Common Agricultural Policy is to ensure an appropriate living standard for agricultural households. The paper uses EU-Statistics on Income and Living Conditions (EU-SILC) data to assess the income situation and living conditions of agricultural households. The agricultural household income does not reach the average household income in any of the EU countries. Multidimensional cluster analysis is applied to classify EU countries according to the income situation of agricultural households. The cluster analysis revealed five segments and the fact that living conditions at a satisfactory level can be achieved irrespective of the economic status of the agricultural household, although it depends on an appropriate setting of agricultural policy. The index of living conditions is constructed and used for the comparison. Based on the analysis results, the variables included in the assessment of the living standard of agricultural households should be taken into account when fulfilling the objectives of the Common Agricultural Policy, especially the part that relates to improving the living conditions of agricultural households. The current EU-SILC database is appropriate for the evaluation of the household income situation. However, it does not reflect the specifics of agricultural households, so additional measurement is needed.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80549641","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 : 2021-02-16DOI: 10.17221/347/2020-AGRICECON
J. Marzec, Andrzej Pisulewski
In the present study, we have investigated several competing stochastic frontier models which differ in terms of the form of the production function (Cobb-Douglas or translog), inefficiency distribution (half-normal or exponential distribution) and type of prior distribution for the parameters (hierarchical or non-hierarchical from the Bayesian point of view). This last distinction corresponds to a difference between random coefficients and fixed coefficients models. Consequently, this study aims to examine to what extent inferences about estimates of farms' efficiency depend on the above assumptions. Moreover, the study intends to investigate how far the production function's characteristics are affected by the choice of the type of prior distribution for the parameters. First of all, it was found that the form of the production function does not impact the efficiency scores. Secondly, we found that measures of technical efficiency are sensitive to distributional assumptions about the inefficiency term. Finally, we have revealed that estimates of technical efficiency are reasonably robust to the prior information about the parameters of crop farms' production technology. There is also a resemblance in the elasticity of output with respect to inputs between the models considered in this paper. Additionally, the measurement of returns to scale is not sensitive to model specification.
{"title":"Measurement of technical efficiency in the case of heterogeneity of technologies used between firms – Based on evidence from Polish crop farms","authors":"J. Marzec, Andrzej Pisulewski","doi":"10.17221/347/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/347/2020-AGRICECON","url":null,"abstract":"In the present study, we have investigated several competing stochastic frontier models which differ in terms of the form of the production function (Cobb-Douglas or translog), inefficiency distribution (half-normal or exponential distribution) and type of prior distribution for the parameters (hierarchical or non-hierarchical from the Bayesian point of view). This last distinction corresponds to a difference between random coefficients and fixed coefficients models. Consequently, this study aims to examine to what extent inferences about estimates of farms' efficiency depend on the above assumptions. Moreover, the study intends to investigate how far the production function's characteristics are affected by the choice of the type of prior distribution for the parameters. First of all, it was found that the form of the production function does not impact the efficiency scores. Secondly, we found that measures of technical efficiency are sensitive to distributional assumptions about the inefficiency term. Finally, we have revealed that estimates of technical efficiency are reasonably robust to the prior information about the parameters of crop farms' production technology. There is also a resemblance in the elasticity of output with respect to inputs between the models considered in this paper. Additionally, the measurement of returns to scale is not sensitive to model specification.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2021-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84119209","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 : 2021-01-29DOI: 10.17221/272/2020-AGRICECON
Chun-Hsin Chou, Joe‐Ming Lee, Ying-Maw Teng, Hsiu-Ling Lee
This research analyzes the dynamic effects of corporate governance, research and development (R&D) innovation, and financial policy on firm business performance under different internationalization threshold structures in Taiwan's food industry during the 2008–2019 period. The results illustrate R&D innovation's negative impact on business performance and the collateralization ratio by directors also has a negative influence. Conversely, the findings reveal that by considering the internationalization threshold effect, at a level of high internationalization, firms have positive influences on R&D innovation, and financial policy has a positive influence on business performance.
{"title":"What is the impact of corporate governance on the food industry at different thresholds of internationalization? A review","authors":"Chun-Hsin Chou, Joe‐Ming Lee, Ying-Maw Teng, Hsiu-Ling Lee","doi":"10.17221/272/2020-AGRICECON","DOIUrl":"https://doi.org/10.17221/272/2020-AGRICECON","url":null,"abstract":"This research analyzes the dynamic effects of corporate governance, research and development (R&D) innovation, and financial policy on firm business performance under different internationalization threshold structures in Taiwan's food industry during the 2008–2019 period. The results illustrate R&D innovation's negative impact on business performance and the collateralization ratio by directors also has a negative influence. Conversely, the findings reveal that by considering the internationalization threshold effect, at a level of high internationalization, firms have positive influences on R&D innovation, and financial policy has a positive influence on business performance.","PeriodicalId":48961,"journal":{"name":"Agricultural Economics-Zemedelska Ekonomika","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2021-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72694886","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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