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  • ASSESSMENT OF THE CONDITIONS OF THE FARMING HOUSEHOLDS IN NORTH COTABATO: Using Comparative Analysis
    Views:
    119

    This study was conducted to assess the conditions of the farming households in North Cotabato as basis to reform the development of agri-preneurs in line with the country’s thrust of transforming farmers as entrepreneurs. The research analyzed the conditions of the farming households in North Cotabato in relation to the crops they produce. Stratified random sampling was employed in the collection of data from four hundred (400) farming households using a self-constructed questionnaire validated by the panel. Data generated were analyzed descriptively and by inferential statistics using analysis of Variance (ANOVA). The research revealed that the primary commodity produced is rice, followed by rubber and coconut. On the other hand, study revealed that respondents in the study are engaged in single farming, without Farming, and multiple farming.

    Among the perceived conditions of the farming households the study also revealed that conditions in terms of infrastructure facility, market information, managerial skills and entrepreneurial competencies are ready and available for the farmers but neither agree nor disagree on the availability of the conditions in terms of market opportunity, access to credit facility, enabling environment, and government policies on entrepreneurial development. The result affirmed the hypotheses that significant differences in the conditions of the farming household when analyzed according to the crops produced.

  • Produce certification and income risk management strategies of cocoa farming households in South-West Nigeria
    75-79
    Views:
    163

    Agricultural produce certification is synonymous to farm assurance of which cocoa certification is an example; dealing with issues of Good Agricultural, Environmental and Social Practices (GAP, GEP and GSP) in cocoa production. Essentially, GAP, GEP and GSP packages had in-built mechanism that can aid farmers mitigate factors that could lead to farm income risks in cocoa production. Consequently, this study examined the influence of cocoa certification on income risks of cocoa farming households in South-west Nigeria. A multistage sampling technique was used to select 180 cocoa farming households from whose heads data were obtained with interview schedule in Southwest Nigeria. Data were analyzed with Chi-square Statistic, Income Risk Management Diversification Index (IRD) and Mann-Whitney-U Test Statistic. Chi-square analysis shows that (52.3%) certified cocoa farming households employed more risk management strategies than (94.2%) uncertified cocoa farming households (p<0.01). The Mann-Whitney-U test revealed a significant difference (p>0.05) between the income risk management practices of certified and uncertified cocoa farming households. Therefore, produce certification has been helping cocoa farming households in mitigating farm income risk in cocoa production through the employment of diverse (risk) management strategies. Hence, stakeholders should intensify efforts in encouraging farming households to embrace (cocoa) produce certification.

  • Economic aspects of an agricultural innovation – precision crop production
    51-57
    Views:
    191

    Innovation in agriculture ensures the wide-spread use of the latest, up-to-date technology. Such new technology is precision farming in crop production, which serves as a validation of the criteria of environmental and economic sustainability. The economic applicability of precision crop production depends on several factors.Among them the following aspects must be emphasized: the size of the farm, the characteristics of the production structure, the current input-output prices and their tendencies, the investment needed for transitioning to precision technology and its capital source, the level of professional knowledge and the managerial attitudes of the farm. I have examined the economic relations between potential savings in chemicals on EU level. It has been found that after switching to precision farming, the active ingredient use for fertilizers can be reduced by 340 thousand tons at the same expected yield level in an optimistic scenario in the EU-27, while the savings in pesticide use can be 30 thousand tons (calculating with the current dose-level). If approximately 30% of the crop producing and mixed farms over 16 ESU adopt this new technology, this will diminish environmental loads by up to 10-35%. The majority of farms characterized by greater output and size can be based on their own equipment but it might as well be presumed that smaller farms can turn to precision farming not based on their own investment. They can buy the technical service from providers, they can establish producer cooperation, for example in the frame of machinery rings. At a certain farm size and farming intensity precision crop production is a real, environmentally friendly farming strategy, with the help of which the farm can reach earnings that cover at least the economic conditions of simple reproduction.

  • Krishna consciousness in Europe: The way farming communities became the focal points of marketing
    13-24
    Views:
    241

    Krishna Consciousness is regarded as one of the most successful new religious movements in terms of marketing in the Western World. The aim of this research was to identify and analyze the marketing strategy the members of the Krishna-conscious community apply in Europe via content analyses, field research observations and in-depth interviews. The marketing mix of services marketing (7P) are often suggested to be applied by religious communities as well, however, this concept has boundaries due to the principles of the religions, which may not be altered for the sake of marketing. The research has shown that in Europe Krishna-conscious communities have overcome this problem by shifting the product from religion to a complex touristic product, which is realized in the form of farming communities, which have become an important rural tourist attraction in some countries. As the comparison of the websites of the different institutions has shown that rural and farming communities are the ones, which focus mainly on attracting people, who are not familiar with Krishna Consciousness yet, while the websites of the other institutions communicate mostly with devotees or people already interested in the religion or its certain aspect (cuisine, education), rural and farming communities were the institutions chosen to be analyzed more closely. The marketers of these tourist attractions are therefore free to make certain modifications in the marketing mix, as its focus is a tourist attraction, not the religion itself; while the transmission of knowledge about the religion happens in the touristic attractions only. Seven European farming communities of six different countries have participated in the research so far, which may be extended to further communities and continents on the future for a more thorough analysis.

  • Urban Food Crop Farming and Farm Households’ Food Security Status in Oyo State, Nigeria
    23-28
    Views:
    162

    Food production and supply has been on the decline in Nigeria with a consequent impact on household food security. This study examined the influence of urban farming on household food security in Oyo State, Nigeria. Multi-stage sampling procedure was used to select 159 farm households in a cross-sectional survey. Structured questionnaire was used to obtain data on socio-economic characteristics, determine the food security status of urban crop farming households in the study area, and examine the effects of urban crop production on households’ food security status. Data were analysed using descriptive statistics while the statistical tools were Food Security Index (FSI) and Probit Regression Model (PRM). Results revealed that 84.9% of the respondents was male, 81.2% married. The average age, household size, and farm size were 49.6 years, 6 persons, 1.1 hectares respectively. Most (75.5%) of the respondents did not have access to consumption credit and 62.3% did not belong to any farmers association. Based on minimum daily energy requirement per adult equivalent of N230.8, 90.6% of the farm households was food secure.

    The PRM showed that age (β = -0.1, p<0.05), household size (β= -0.4, p<0.01) and economic efficiency (β = -61.6, p<0.05) reduced the probability of household food security while access to consumption credit (β= 1.7, p<0.05) and allocative efficiency (β = 67.9, p<0.05) increased the probability of household food security. The study concluded that urban farming significantly influence household food security.

    JEL Classification: Q11

  • Empowerment of rural women farmers and food production in Rathnapura district in Sri Lanka: a household level analysis
    105-112
    Views:
    231

    Women empowerment and gender equity are two significant aspects of the sustainable development of a country. As Sri Lanka is on the way towards sustainable development, this study was conducted to assess the situation of women farmers’ empowerment and food production in Rathnapura district of the country.  A sample of 300 women farmers was randomly selected for the study, from two selected Divisional Secretariat (DS) of Rathnapura district. Data was collected from a field survey using a pre-tested, self-administered questionnaire survey from April to July 2019. Empowerment was analyzed using the empowerment framework used by RAHMAN AND NAOZORE in 2007 in the study of “Women Empowerment through Participation in Aquaculture” with necessary modifications.  Data analysis was conducted using descriptive statistics, correlation analysis and multiple linear regression analysis. Results revealed that majority of the women farmers were middle aged, married and had children. Furthermore, most of them had education up to secondary level. While average family size was four, average farm size was 1.25 acres. They had around 16 years of farming experience.  The average monthly income of them was 25,000.00 LKR whereas 20% of it was from agriculture. The main sources of empowerment of women farmers were the Agrarian Service Center (55%) followed by village organizations/societies (30%) and microfinance institutions (26%). Furthermore, women empowerment index was 0.65. It is a moderate level of empowerment. However, there were women farmers under three categories of empowerment levels: low empowerment (4.1%), medium empowerment (58.5%) and high empowerment (36.1%).   Out of the socio-economic factors; age, education, family size, land size, number of training programs participated, monthly income, experience in agriculture and number of organizations participated, education and number of training programs attended had significant and positive effect for the empowerment. Accessibility of credit facilities and agricultural extension program participation showed that there was a considerable impact on food production rather than the cultivable land size and utilization of modern farming technologies for food production. Therefore, proving of timely important agricultural education and training programs, enhance awareness level of modern farming technology utilization, better micro finance programs and agricultural credit facilities will be able to enhance the empowerment level of the women farmers of this area furthermore.  

    JEL CODE: Q01, Q12

  • Economic, practical impacts of precision farming – with especial regard to harvesting
    141-146
    Views:
    138

    Today agricultural practice is faced with a paradigm shift. In terms of natural resources, the World’s growing population calls for rational management and environment-conscious behaviour. Precision farming may provide a solution for the above mentioned criteria and problems. It has an array of technological equipment, elements and complete systems which are in themselves suitable to create conditions for efficient farming, to reduce environmental load and to provide farmers with optimal return on their investment. Agricultural production has started to focus mainly on efficient crop production and machine operation. Due to this trend, machinery exploitation emerges as a secondary priority for agricultural enterprises. The underlying reason behind this shift is primarily the rise of machinery operation costs. Efficient machinery operation can provide farmers with a solution to reduce their expenditure and through better logistical organization they can obtain extra returns. On the leading edge of my research is to introduce, quantitatively underpin and to justify the application of precision technologies. Our fundamental research methods rely on scenarios and economic calculations.

     

  • Modeling multifunctionality of agriculture at a farm-level: The case of kerkini district, Northern Greece
    59-64
    Views:
    116

    Multifuncionality has become a central concern at both conceptual and empirical levels. In this study, a comparative evaluation of the economic performance of conventional and multifunctional farms (mainly organic farms) was conducted for the Lake Kerkini region (North Greece) with the use of mixed integer non-linear programming method. The economic performance of farms was evaluated in terms of farm income, resource allocation, production level and production mix. The results indicate that multifunctional farms have overall better economic performance and young farm managers are keener to adopt multifunctional farming than the older ones. Differences between the model results and the observed facts are attributed to the structural characteristics of the farms, along with the CAP measures and the existence of multiple objectives, beyond maximization of net farm returns.

  • Factors associated with sustainability of agripreneurship interest among graduate youth in Southwestern Nigeria
    Views:
    225

    The paper examined factors associated with sustainability of agripreneurship interest of graduate youth in Southwestern Nigeria. It specifically described the socio-economic characteristics of the respondents; identified their agripreneurship activities of interest and identified factors associated with their interest. A multi-stage sampling procedure was used to select 185 respondents from the selected the Local Government Areas in Southwestern States, quantitative and qualitative data were collected using semi structured questionnaire and Focus Group Discussion (FGD) respectively. Data were analyzed using descriptive statistical tool such as frequency counts, percentages, means and standard deviation while factor analysis was used to isolate crucial factors associated with sustainability of agripreneurship interest of serving graduate youth in the study areas. Results showed that respondents had a mean age of 26.18 ± 2.74 years and majority (75.7%) were not graduates of agriculture. The agricultural enterprises of interest to the respondents were poultry farming (67.6%)’ fish farming (56.5%) and snail farming (50.9%). Crucial factors found to influence sustainability of graduate youth’s interest in agripreneurship were motivational, parental influence, community asset and institutional factors among other. The study concluded that these identified factors were germane to the sustainability of graduate youth’s interest in agripreneurship in Southwestern Nigeria.

  • Adaptations to potential impacts of climate change in the “New Hungary” Rural Development Programme
    133-137
    Views:
    126

    There are evidences that the climate is changing and the effects on agriculture and wildlife are discernible. Spring is occurring earlier and autumn later, all of which have impacts on agriculture and forestry. Climate change is also predicted to result in more frequent droughts, increased flooding in Hungary, but the relationship between agriculture and climate change is more complex. Climate change has physical effects on farming and farm based wildlife. Agriculture needs to adapt to climate change by exploring, which crops and farming systems are best adapted to the changed conditions. Land management also needs to adapt to preserve biodiversity by protecting valuable habitats and species and helping them in the changing environment. With better management, agriculture and forestry can also mitigate climate change by reducing direct greenhouse gas emissions from land use, land use change and forestry, by producing crops as a source of renewable energy and by protecting carbon stored in soils and in manure. The HRDP comprises of a series of funding based on the following overarching priorities: (i) enhance the environment and countryside, (ii) making agriculture and forestry more competitive and sustainable, (iii) enhancing opportunity in rural areas, whether in the farming sector or the broader rural economy. Actions discussed in this paper are based on the New Hungary Rural Development Programme (2007–2013) and focused on reducing the effects of climate change in rural area. Establishment of agro-forestry systems and integrated pest management help mitigation goals and increase climate change adaptation potential. Minimizing unwanted side effects of agriculture by reducing the use of fertilizer and increasing the safety for environment (soil, water, and air) and human health have positive effects on adaptation potential. Restoration of agricultural production though diversification of agriculture and pastures management, improvement in drain age and irrigation equipment are good examples of adaptation for climate change. Integrated production, which is oriented to controlled cultivation of crops, vine, fruits and vegetables, and improvement of animal rearing conditions to increase production standards and overall welfare are preferred and ecologically sound methods of adaptation.

  • The choice between conventional and organic farming. A Hungarian example
    55-58
    Views:
    127

    The paper deals with organic produce in one of the largest and, concerning organic production one of the most diffused counties in Hungary, Pest County located in the north-central part of the country. Factors influencing farmers’decision on adopting or not e.g. farm size, farm type, location, structure, market for organic products, existence of organic AEM were analysed. Hypotheses based on previous empirical literature were tested by a model explicitly accounting for the effects of farm-specific variables like age, education, size of farms and share of rented land. Logit model was estimated on a cross-section data set of Hungarian farmers for the period 2007. It appears that education has a positive impact on the choice between conventional and organic farming, and, the size of the farm in hectares has a negative effect on this choice.Age and some general considerations on environmental friendly technologies do not have a significant effect on choice between conventional and organic farming.

  • Analysis of household crop commercialization in Nigeria
    Views:
    267

    Nigeria is experiencing a gradual shift from subsistence to commercialized agriculture, thereby increasing involvement and activities at different nodes of agribusiness. Participation of farmers in markets is an important determinant of well-being and development, and one of the pathways towards economic growth. This study analysed household crop commercialization in Nigeria. The secondary data used were the General Household Survey (GHS, 2018) Wave 4. Data were analysed using descriptive statistics, household crop commercialization index (HCCI) and ordered probit regression model.

    Mean age of Nigerian farmers was 50.04 years (±15.22), majority (85.68%) were male, married (82.51%), and 72.14% had formal education. Farming is viable in all the geopolitical zones and majority (87.64%) of the farmers were from the rural sector, holding a mean total plot size of 12.61(±15.63) hectares, and planted 3 crops on the average. The most produced crop categories are cereals (46.75%), tubers (20.70%) and legumes (19.00%); legumes and cereals are highest in the North, and tubers in the South. Subsistence households were 32.81% (HCCI=0), only 1.71% of the households were fully commercial (HCCI=100), while semi-subsistence households (0≤HCCI≤100) constitute 65.48%. Years of education (p<0.05) and crop production in North East and North West zones (p<0.01) constrain commercialization, while at p<0.01, crop production in the rural sector and the South zones, and increased land holding are the drivers of household crop commercialization in Nigeria.

    Nigerian farming households are mainly semi-subsistence and are diversified in crop production. Nigeria relies more on market participation of the semi-subsistence households, through their marketable surplus, to feed her teeming population and for exports. Further attention on rural infrastructure development in all geopolitical zones and awareness creation on producing market oriented products will increase agribusiness activities. This will generate green decent jobs that will take unemployed youths off the streets of urban centres. This is in tune with the economy diversification bid and the new Nigeria Economic Sustainability Plan of the Federal Government of Nigeria.

    JEL CODE – Q13

  • Impact of Terrorism on Agricultural Business in Borno State, Nigeria
    117-124
    Views:
    246

    This study examines the impact of terrorism on agribusiness in Borno state. Terrorist activities in Borno state dates back to 2009 where a group of Islamic extremists popularly known as Boko Haram (meaning western education is a sin) became violent in their activities. The group operates significantly in north-eastern Nigeria where Borno state is located and since 2009. The presence of the group has led to collapse of socio-economic activities in Borno state among other states. Millions of people have been displaced fromtheir homes and forced to live in camps in neighbouring states. As a result, this study examines the impact of insurgency related activities on agribusiness in BornoState. Agricbusiness in Borno state can be measured using four different parameters, amount of area cultivated, annual crop production, rearing of livestock and fish farming. These are the major agricultural business residents of Borno state are engaged in. However due to unavailability of data, rearing of livestock and fish farming are dropped, thus focusing on area cultivated and annual crop production. As a result of these two variables, two models are developed. The first model measures the relationship between amounts of crop produced with insurgency related killings, while the second model measuresthe relationship between total areasof farmland cultivated with fatalities resulting from terrorist activity. This study employs Ordinary Least Squares methodology and finds that both relationshipsreveal negative results thus indicating statistically significant negative impact of terrorism on agribusiness in Borno State.

    JEL Classification: Q10, Q18, Q12

  • Assessment of women farmers’ credit needs in imbulpe ds division in Sri Lanka
    Views:
    199

    The study was conducted to identify the role of women farmers’ credit needs, using Imbulpe (Divisional Secretariat) DS Division in Sri Lanka. As the sample size of study 238 women farmers were selected from seven selected (Grama Niladhari) GN divisions of the study area. This study was conducted to identify the areas and level of credit needed by women farmers. And also, the agricultural credit sources of was identified. Women farmers were selected by using the simple random sampling method. Questionnaire Survey was used as the data collection method from March to July 2019. Descriptive statistics was used for the data analyzing process and the result showed that, 59.7 % of the women farmers were observed within the middle ages (40-59 years), most of them were married, and 4-5 members within their family. 64.3 % of women farmers were studied up to secondary level education. Majority of the women farmers were noted that they need credit facilities for the application of agrochemicals and fertilizers. In Addition to that, utilization of modern farming technologies, transportation & marketing of agricultural products and purchasing improved seeds & livestock related credit neediness most important for them. And also, they were showed a less interest regarding the credit neediness for pre-planting activities, irrigation facilities and harvesting activities. Most of the respondents were indicated high level of credit neediness for the application of agrochemicals and fertilizers and utilization of modern farming technologies while moderate and low level of agricultural credit neediness regarding the pre-planting activities, irrigation facilities and harvesting activities within the study area. Majority of the respondents were showed savings from the previous agricultural earnings and other family member or fellow women as their major credit sources of agricultural activities. Private money lenders act as the least important credit source for agricultural activities in the study area.

    JEL CODE: Q1, Q12
  • Potential impact of the European Green Agreement on EU and Hungarian crop production
    Views:
    188

    European arable farming, including Hungarian arable farming, faces a huge dilemma: how to contribute to and maintain the global food supply while reducing greenhouse gas emissions while main taining biodiversity, but reducing inputs that are potentially damaging to society and the environment while ensuring that no more land is taken out of production? Not to mention that the increasingly urgent need to tackle climate change is also placing additional demands on EU agricultural decision-makers. Under the European Green Deal (GD), the 'From Farm to Fork' (F2F) strategy will help achieve climate neutrality by 2050, with a target of a 55% reduction in greenhouse gas emissions by 2030. Achieving this will require significant changes in food production, a shift in crop health strategies and accelerated innovation in the agricultural sector. The study addresses these issues. Our first hypothesis (A1) is that the GD and F2F strategies can be implemented without problems and without losses. Our second assumption (A2) is that the know-how solutions and the technological conditions for precision agriculture that are already available exist, and that all of these already justify the feasibility of A1. In order to prove this, we have reviewed recent and up-to-date literature on DG and F2F. For A1, we found that there are pro and con findings in the literature. However, the summary finding is not positive. The conclusion of the studies, based on data calculations, is that EU agriculture faces huge additional costs if it is to maintain production and reduce environmental pressures. Their calculations suggest that more people will be disadvantaged by the decisions, and that millions of euros could be lost to the public. However, the article also shows that there are many cases where positive results can be achieved even with reduced chemical use. Facts and figures from international and Hungarian technological and know-how solutions and their trials at plant level show that the DG's objectives are already partially achievable. It has been established that the systematic use of precision technologies allows to increase the natural and at the same time the economic efficiency. In our work we have used the results of primary and recent secondary research. We have shown the downsides of GD, but also that with targeted support, the objectives of sustainability and GD can be approached. Changes in 2022, drastic price increases for inputs including fertilizers and pesticides, inflation at a 20-year high, energy prices spiraling out of control, and an almost unprecedented drought affecting crop production and horticulture, point to the need for a radical change in technology, thinking and regulation. And all this to ensure that there is enough affordable food in Hungary, that there are export products within and outside the Community, and that those working in agriculture have a decent living.

  • The impact of the “greening” of the common agricultural policy on the financial situation of Polish farms
    49-55
    Views:
    291

    This paper presents an assessment of the impacts of introducing the greening scenario of the CAP, proposed by the European Commission as an alternative for the reformed CAP after 2013. In the past, the CAP has undergone numerous transformations in response to the changing macroeconomic environment and in reaction to developments in the farming sectors in EU countries. On the 12th of October 2011, the Commission presented a set of legal proposals designed to make the CAP a more effective policy to encourage more competitive and sustainable agriculture and vibrant rural areas. The proposal brings various new elements under consideration, some of them raising strong controversies such as introducing “greening” as a component of direct payments. Changes in the direct payments scheme in line with the EC proposition include forcing adjustments in the cropping pattern and creating ecological focus areas (EFA) on 7% of the farm land ; the consequences of such a proposal on the size and structure of agricultural production, and thus on the economic performance of farms and the whole agricultural sector are uncertain. The authors analyse historical changes to the CAP with a focus on a growing importance of the environmental component of the CAP, discuss different scenarios of shaping the direct payments system and present the results of modelling the impacts of greening the CAP on the Polish farming sector with the use of the LP optimisation model. The study was based on Polish FADN data. Results show that the majority of farmers in Poland comply with the crop diversification constraint of greening. However, establishing the required EFAs and necessary diversification on farms with simplified cropping structures will have a negative impact on the volume of agricultural production as well as on farm incomes.

  • Investment analysis of a piglet producer farm – a Hungarian case study
    141-152
    Views:
    242

    The pig population in Hungary was about 8 million in 1990, while this number dropped to only 2.8 million by 2018. The previously so successful integrated domestic pig farming has almost completely disappeared and most of the smaller farms still operating in the 1990s are no longer functioning. At present, a process of concentration can be observed, which was accompanied by the further specialization of pig farming. The main profile of most pig farms is fattening, but there is a smaller number of farms in Hungary today specialized for piglet production, the successful operation of which requires significantly more expertise and more complex technology.

    The main aim of this study is to present the production and economic indicators of a pig farm specialized in piglet production in Hungary as a result of a greenfield investment in the current economic environment, on a case study basis. For this purpose, an economic simulation was prepared based on primary data collection, operating on a deterministic basis, modelling the production and economic processes of the farm. The performed calculation does not derive the economic indicators of the activity from accounting records, but assigns the prices of natural inputs used on the basis of technological data. Primary data and information collection (e.g. technological data, input and output prices, unit cost items, etc.) took place between 2018-2019.

    At the purchase prices of pigs in the last two years, which have increased significantly due to the African Swine Fever (ASF), the majority of pig farms in Hungary have an outstanding profit-making capacity. The physical efficiency indicators of the analysed pig farm are almost identical to the average data of such farms in the Netherlands, which has one of the most developed pig industry. The income of the examined pig farm at farm level is about 734 thousand EUR, i.e. 232 EUR per sow. Moreover, this activity is profitable even without subsidies. As a result, the greenfield investment pays off in the 8th year by default (average scenario). The investment has a Net Present Value (NPVr=3%) of EUR 2,609 thousand for 10 years, an Internal Rate of Return of 8.5%, and a Profitability Index (PIr=3%) of 1.3. At the same time, risk factors such as sales prices, output and capacity utilization, and feed costs should be taken into consideration as in extreme cases the return on investment may be unfavourable (pessimistic scenario).

    JEL code: D24, M11, Q12

  • Climate change impact on crop production in Central Asian Countries
    75-82
    Views:
    167

    Increased risk due to global warming has already become embedded in agricultural decision making in Central Asia and uncertainties are projected to increase even further. Agro-ecology and economies of Central Asia are heterogeneous and very little is known about the impact of climate change at the subnational levels. The bio-economic farm model is used for ex-ante assessment of climate change impacts at sub-national levels in Central Asia. The bio-economic farm model is calibrated to ten farming systems in Central Asia based on the household survey and crop growth experiment data. The production uncertainties and the adaptation options of agricultural producers to changing environments are considered paramount in the simulations. Very large differences in climate change impacts across the studied farming systems are found. The positive income gains in large-scale commercial farms in the northern regions of Kazakhstan and negative impact in small-scale farms in arid zones of Tajikistan are likely to happen. Producers in Kyrgyzstan may expect higher revenues but also higher income volatilities in the future. Agricultural producers in Uzbekistan may benefit in the near future but may lose their income in the distant future. The negative impacts could be further aggravated in arid zones of Central Asia if irrigation water availability decline due to climate change and water demand increase in upstream regions. The scenario simulations show that market liberalization and improved commodity exchange between the countries have very good potential to cope with the negative consequences of climate change.

    JEL classification: Q11, Q18

  • Economic analysis of some agrotechnical factors in maize production - a Hungarian case study
    5-16
    Views:
    387

    This paper focuses on the economic and statistical evaluation of the production technology findings of the polyfactorial maize production experiments carried out between 2015-2017 at the Látókép Experiment Site of the University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management. The examined agrotechnical factors included irrigation, previous crop, tillage, crop density, hybrid and N nutrient supply, while the effect of different crop years was taken into consideration. In addition to descriptive statistical methods, we used multivariate regression analysis during the statistical evaluation. In the course of the evaluation, we examined three models that differed in terms of tillage methods and the consideration of crop year. In our best fit model, the factors were 71% responsible for the change in yield value. We carried out efficiency and comparative analyses in the course of the economic evaluation.
    Averaged over the three examined years, it can be stated that nutrient supply and crop year had an outstanding effect on yield, while irrigation had a minimal effect. However, global warming may justify irrigation in the future, not only from a biological point of view, but also from an economic aspect.
    Ideal tillage is also greatly affected by crop year, too. Altogether, of the examined tillage systems, subsoiling proved to be the best from an economic point of view.
    Our investigations confirm that it is better to perform intensive farming under more favourable market conditions. The optimum of N fertilisation is probably outside of the range we examined, if the extreme changes in maize and fertiliser prices are ignored.

    JEL Classification: Q16, Q12, Q13, O32

  • Off-farm participation and technical efficiency among smallholder farmers in the Northern Region, Ghana
    35-43
    Views:
    200

    The study aimed at investigating the effects of off-farm participation on technical efficiency of maize production in the Tolon district of the Northern Region, Ghana. The Logit regression model was used to analyze the determinants of off-farm participation while the stochastic frontier production function was used to model the determinants of maize output and technical efficiency. The empirical results from the logistic regression model indicate that age of farmer, educational attainment, farming experience, farm size, and previous farm income are significant drivers of farmers’ participation in off-farm activities. Farmers’ average technical efficiency level was 90.7% suggesting a 9.3% potential loss to inefficiency. Moreover, participation in off-farm activities had a negative influence on farmers’ technical efficiency level. The study, therefore, recommends that farm-level policy should be directed towards making the agricultural sector attractive by promoting investment and agricultural employment opportunities in the rural areas so as to ensure full commitment to farming activities.

    JEL code: Q22

  • Farmers’ experience in adoption and usage of ICT solutions for agriculture in the Republic of Macedonia
    25-30
    Views:
    253

    The adoption of new of Information and Communication Technologies (ICTs) in farming activities becoming crucial for developing countries in order to meet the challenges of rapidly growing populations, urbanization and arable agricultural land declination. Because of it, each farmers’ organization or farmer has to concern their agricultural products and services more towards modernized and ICT related routine. The attempt has been made to analyze the reaction of the Macedonian farmers towards ICTs as a source of reliable and timely information about e-banking, online purchasing/selling, marketing, input and output optimization, increased revenue, remote farm management process etc. Semi-structured questionnaire was used for interviewing 132 semi-experienced and experienced farmers that use ICTs as sample for the research. The data were analyzed using appropriate statistics tool like correlation and Rank Based Quotient (RBQ). The findings showed that farmers stressed the cost of ICTs, lack of training, trust level in the government institutions, and lack of ICT infrastructure are thresholds for ICTs adoption and use in agriculture. This research contributes to understand the adoption and use of ICT, identify the constraints associated with ICT use and propose recommendations towards the improvement of ICTs for agriculture in the Republic of Macedonia.

  • Economic issues of duck production: A case study from Hungary
    61-67
    Views:
    142

    The Hungarian waterfowl sector is characterised by export orientation, as 55-57% of the revenue comes from exports, so its importance is high in the national economy. The production of slaughter animals in the duck sector has doubled in the last decade. The objective of the study is to examine production parameters, as well as the cost and profit situation of broiler duck production and to reveal the correlations between the factors with a case study through the example of a Hungarian company. The production parameters and cost data of the investigated farm (2014-2016, 96 production cycles) were analysed using descriptive statistical methods, correlation and regression analysis. The results show that the average cost of the duck produced in intensive, closed farming system was between 72.6 and 101.7 eurocent kg-1. The most significant cost items were feed (52-63%) and chicken cost (14-19%). The sales price decreased from 112.9 eurocent kg-1 to 98.4 eurocent kg-1 during the examined period, resulting in a profit from -3.3 to 25.7 eurocent kg-1, and overall profitability was decreasing. The study also revealed that there was no correlation between average cost and final bodyweight, while the correlation between average cost and reared period was weak. At the same time, the relationship between average cost and average daily weight gain, mortality, feed conversion ratio was moderate. In addition, the European Production Efficiency Factor (EPEF) can be adapted to the duck sector as strong, positive relationship can be scientifically verified between the indicator and average cost. There is a close correlation between the sold live weight per m2 and the amount of feed used per m2, as well as between the final bodyweight and the amount of feed used to rear a duck, while the correlation between average cost and the sold live weight per m2 is weak.

    JEL Code: Q13, Q19

  • Less favoured area measure in the Netherlands: a welcome or negligible addition?
    23-28
    Views:
    161

    The Less Favoured Areas (LFAs) Directive (75/268) which was introduced in 1975, was the first common European instrument of regional agricultural structural policy. LFAs are areas where agriculture is hampered by permanent natural handicaps. The major objectives were to ensure the continuation of farming, thereby maintaining a minimum population level and preserving scenic landscapes and environmentally valuable habitats. In the Netherlands, the LFA measure is used as an additional payment, to compensate farmers for negative economic effects due to the conservation of these natural handicaps. It was not implemented as a stand alone policy, but is linked to measures aiming at active nature and landscape conservation management. In this paper, the effects will be examined of the regulations aiming at the conservation of natural handicaps on farm businesses within LFAs, when comparing them to farm businesses outside LFAs, where these regulations and handicaps do not exist. The main data source that was used is the Farm Accountancy Data Network. Reference groups of farms were compiled with the use of the simple and multiple imputation approach in Stars (Statistics for Regional Studies). Both analyses were tested with the use of a parametric and a nonparametric test. When comparing the results of both analyses, it can be concluded that there is no evidence that there is a statistical difference in family farm income corrected for and not corrected for LFA payment between the LFA farm businesses and the reference groups. Based on these findings it can be concluded that the size of the compensatory allowances is small and there is no evidence that it has a significant effect on the family farm income of LFA farm businesses. The main purpose of the Dutch LFA policy is to compensate farm businesses for negative economic effects due to the conservation of natural handicaps. Although this may be true for some individual farms, based on the methods used in this paper, it appears not to be the case for the collectivity of LFA premium beneficiaries as a whole.

  • OPERATING RESULTS OF SILAGE ENTERPRISE OF A FARM - A CASE STUDY
    Views:
    75

    Improvements in agriculture has been focusing on innovations to improve the efficiency of the activity by making the traditional production structure currently in use more flexible and by making the necessary technological changes for farmers with large areas and the necessary machinery and equipment. Farms with significant arable land are able to offset the effects of changes affecting efficiency and profitability. The decisive sector of agriculture in Hungary is crop production, therefore its performance is largely determined by the annual output of the crop sector and the volatility in prices. From the farm data, we calculated farm-level results that support the need for machinery modernisation efforts, as precision tools and improvements already started in maize production can be applied fruitfully even in the light of the increasing frequency of negative climatic effects. During the development of silage maize cultivation technology, the achievements of precision farming were applied. Differentiated nutrient replenishment and sowing operations were used, in addition to the fact that harvesting was also documented. We set ourselves the goal of analyzing the management data of the study period between 2019-2022 in order to reveal the nature of the changes that occurred in terms of production value, production cost, and income, as well as the components that shape them. The presented values ​​are average values ​​of such conditions which are also suitable for crop-level conclusions. At the same time, they can be used to identify sector-level challenges and trends.

  • Efficiency analysis of dairy farms in the Northern Great Plain region using deterministic and stochastic DEA models
    113-122
    Views:
    126

    Running any dairy enterprise is a risky activity: the profitability of the enterprise is affected by the price fluctuation of feed and animal health products from inputs, as well as by the fluctuation of end-product prices. Under these circumstances, it is essential for the cattle breeders, in order to survive, to harness the reserves in management as effectively as possible. In this research the efficiency and risk of 32 sample dairy farms were analysed in the Northern Great Plain Region from the Farm Accountancy Data Network (FADN) by applying classical Data Envelopment Analysis (DEA) and stochastic DEA models. The choice of this method is justified by the fact that there was not such an available reliable database by which production functions could have been defined, and DEA makes possible to manage simultaneously some inputs and outputs, i.e. complex decision problems. By using DEA, the sources that cause shortfall on inefficient farms can be identified, analysed and quantified, so corporate decision support can be reinforced successfully. A disadvantage of the classical DEA model is that the stochastic factors of farming cannot be treated either on the side of inputs or outputs; therefore, their results can be adopted with reservations, especially in agricultural models. This may have been because we could not discover that many agricultural applications. Considering the price of inputs and outputs as probability variables, 5000 simulation runs have been done in this research. As a result, it can be stated that at which intervals of the input and output factors can become competitive and the fluctuation of these factors can cause what level of risk at each farm.

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