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The role of agribusiness in stimulating on-farm investments – case-study of the armenian dairy sector
85-91Views:328This paper analyses the impact on investments of contractual arrangements between farms and agribusiness in the Armenian dairy sector. Our empirical evidence is based on a unique survey of 300 Armenian dairy farms. The dairy sector is of particular importance as it provides vital employment and income, in an environment of weak social security and scarce job opportunities. Furthermore, milk production is predominantly organized in small-scale farms, which are most likely to be affected by adversarial financial conditions and limited in their opportunities to raise resources to invest. The results show that a large share of milk producers in Armenia is actively investing to upgrade their farm business. Furthermore, investment activity is not limited to large dairy farmers as over 30% of respondents with less than eight cows have made dairy-specific investments. We find that the linkages between farms and agribusiness – and more specifically the support programs that agribusiness firms offer to their suppliers – have been crucial in stimulating this restructuring process at the farm level. Interestingly, farmers with a more exclusive relationship to the buyer and farmers that deliver to more internationally oriented buyers are more likely to receive support. On the other hand, buyers that operate in a more competitive market are less likely to provide support to their suppliers. These findings have interesting policy implications. On the one hand, our results point to the gains that can be made from openness to international firms. On the other hand, the negative competition effect indicates that buyers are unable to enforce repayment of the provided farm services in an environment where a lot of buyers are competing for the same supply. Policy makers should look at ways of improving the enforcement capability of dairy companies under these circumstances.
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Impacts and externalities of agricultural modernization in Brazilian states
53-61Views:406This study aimed to analyze the relationship between the levels of agricultural modernization and socioeconomic indicators of the Brazilian federation units. A multivariate approach to data analysis led to the creation of the Index of Agricultural Modernization (IAM). The Spearman correlation test was used to verify the relationship between levels of agricultural modernization and a set of economic and social indicators. As a result of the survey, we obtained the Index of Agricultural Modernization (IAM) which allowed the ranking of Brazilian states in terms of level of modernization. The correlation analysis demonstrated the existence of significant and positive correlation between the agricultural modernization and the following indicators: per capita GDP, trade balance per capita and IFDM. This means that agricultural modernization contributes to increased production, exports and the levels of socioeconomic development of the states. For the variable urbanization rate, test results showed a negative correlation with the IAM, which suggests a contribution of agricultural modernization for fixing people in the countryside. Indicators of inequality in income distribution showed no significant correlation. In conclusion, it can be inferred that the positive relationship of the IAM with indicators of production, exports and socioeconomic development shows the presence of positive externalities and impacts of the agricultural modernization process
for the Brazilian states. -
Determinants of consumers’ purchase intention for local organic food in Urban Sri Lanka
70-78Views:557Organic food marketing has currently become one of the most developing markets around the world, including Sri Lanka. Thus, the main aim of this study was to recognize the determinants of the purchase intention for local organic food among urban Sri Lankans. A consumer survey was conducted covering capital cities of six urban districts in Sri Lanka; Colombo, Galle, Gampaha, Kandy, Kurunegala, and Rathnapura using a sample of 600 consumers, from December 2016 to May 2018. Out of the 600 consumers, only 114 were purchasing organic food by that time, and those 114 consumers were chosen as the sample for this study. Descriptive statistics, principal component analysis, and multiple linear regressions were used as data analysis techniques. According to the results, majority of the respondents belongs to the 31-45 year age category. While most respondents had an education up to GCE Advanced Level, significant percentages of respondents were educated up to graduate and post-graduate levels. Also, most of the respondents received a monthly total income in between Sri Lankan Rupees 85,001 and 162,000 (approximately US dollars 473 – 900). Although one-fourth of the consumers are purchasing organic food at that time, a higher number is willing to buy them in future. As per the principal component analysis, health and environment consciousness, certification of organic food, marketing aspects of organic food, common parameters of organic food, awareness on the value of organic food, and market availability of organic food were the extracted determinants. The results of multiple linear regressions revealed that market availability, common parameters of organic food, and health and environment consciousness are the dominating variables of the purchase intention of organic food consumers. Thus, expanding the market conditions for organic food, establishing a better marketing system, conducting effective food awareness programs, and value addition for organic food are the identified timely essential recommendations.
JEL CODE: Q13, Q19
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Hungarian dairy and beef production sector technical efficiency comparsion using DEA
131-138Views:581To examine and compare the technical efficiency of dairy sector and the beef sector, this research introduced the main indicators of milk and beef production in the world, EU and Hungarian aggregates. Based on the data it can be said that the milk and beef production of Hungary does not occupy any significant position in the world as well as in the European Union neither today nor even in the past. If Hungry must compete in the European counties and international market, their dairy sector must focus to increase of their production efficiency as the key breakthrough point. This paper we compared technical efficiency of both dairy and beef sectors in total, for the year 2014 and 2015 separately and based on the farm size. The specific objectives of the research are: comparing dairy and beef farms efficiency in Hungary. Based on the results, we can determine which sector in Hungary is more effective. The second objective is to compare the efficiencies of both the sectors in 2014 and 2015 separately and from the results we can determine which year was more effective in terms of production efficiency and the third objective of the research is technical efficiency comparison of certain economic sizes for both sectors. In the research, we used (KOVACS, 2009) deterministic (DEA) model adapted to the Hungarian dairy farms and beef farms. For the dairy farms milk and dairy products as well as meat (other income). The input factors originated from the domestic AKI - FADN database. Summarizing the results of the research it can be conclude that the dairy sector is more effective than the beef sector in Hungary. In terms of years compared 2014 was more effective for both sector as compared with 2015. In regards to the farm size almost the same result in evaluating the scale of efficiency, which means that large economies can in most cases, manage resources more efficiently than small farms. In the examined years, based on the results of the DEA model, the VRS technical efficiency of the test for these two years was 72.90% for the dairy farms and 63.60% for the beef farms, which means that the dairy sector is more efficient than the beef sector in Hungary. The VRS technical efficiency of the research was 82.10% in 2014 and 75.10% in 2015 for the dairy farms and 77.50% in 2014 and 68.90% in 2015 for the beef farms, which means that both the dairy sector and the beef sectors followed the same trend and were more efficient in 2014 compared to the efficiency in 2015. The large size dairy farms were most effective in Hungary in the examined period (90.90%). VRS technical efficiency for small farms is 88% and the total number of small, the technical efficiency medium farms was 72.80% For the beef sector VRS technical efficiency for small farms is 71.30% and the technical efficiency medium farms was 74.40% and 70% of the beef meat producing farms in Hungary are medium sized. So, the conclusion is the small size dairy farms have a higher VRS efficiency than the small size beef farms whereas medium sized beef farms had higher VRS efficiency than the medium size dairy farms. As a conclusion, both dairy and beef sectors in Hungary have the potential to overcome technology and knowledge constraints and attain the upmost attainable productivity level through improvements in; farmer volume of production i.e. output, beef cattle technologies, and advertising, and the efficiency of the technology transfer process.
JEL Code: Q13
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