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  • Comparing ols and rank-based estimation techniques for production analysis: An application to Ghanaian maize farms.
    125-130
    Views:
    126

    This paper introduces the rank-based estimation method to modelling the Cobb-Douglas production function as an alternative to the least squares approach. The intent is to demonstrate how a nonparametric regression based on a rank-based estimator can be used to estimate a Cobb-Douglas production function using data on maize production from Ghana. The nonparametric results are compared to common parametric specification using the ordinary least squares regression. Results of the study indicate that the estimated coefficients of the CobbDouglas Model using the Least squares method and the rank-based regression analysis are similar. Findings indicated that in both estimation techniques, land and Equipment had a significant and positive influence on output whilst agrochemicals had a significantly negative effect on output. Additionally, seeds which also had a negative influence on output was found to be significant in the robust rank-based estimation, but insignificant in the ordinary least square estimation. Both the least squares and rank-based regression suggest that the farmers were operating at an increasing returns to scale. In effect this paper demonstrate the usefulness of the rank-based estimation in production analysis.

    JEL CODE: Q18, D24, Q12, C1 and C67

  • The connenction between global innovation index and economic well-being indexes
    87-92
    Views:
    382

    We study the connection of innovation in 126 countries by different well-being indicators and whether there are differences among geographical regions with respect to innovation index score. We approach and define innovation based on Global Innovation Index (GII). The following well-being indicators were emphasized in the research: GDP per capita measured at purchasing power parity, unemployment rate, life expectancy, crude mortality rate, human development index (HDI). Innovation index score was downloaded from the joint publication of 2018 of Cornell University, INSEAD and WIPO, HDI from the website of the UN while we obtained other well-being indicators from the database of the World Bank. Non-parametric hypothesis testing, post-hoc tests and linear regression were used in the study.
    We concluded that there are differences among regions/continents based on GII. It is scarcely surprising that North America is the best performer followed by Europe (with significant differences among countries). Central and South Asia scored the next places with high standard deviation. The following regions with significant backwardness include North Africa, West Asia, Latin America, the Caribbean Area, Central and South Asia, and sub-Saharan Africa. Regions lagging behind have lower standard deviation, that is, they are more homogeneous therefore there are no significant differences among countries in the particular region.
    In the regression modelling of the Global Innovation Index, it was concluded that GDP per capita, life expectancy and human development index are significant explanatory indicators. In the multivariable regression analysis, HDI remained the only explanatory variable in the final model. It is due to the fact that there was significant multicollinearity among the explanatory variables and the HDI aggregates several non-economic indicators like GII.

    JEL Classification: B41, I31, O31, Q55

  • Urban consumers’ attitude towards organic food in Sri Lanka
    5-14
    Views:
    471

    This research investigation aims to examine the urban consumers’ attitude towards organic food, and the factors affecting for their attitude. A consumer survey consisting of a sample of 600 consumers was conducted, using a pre-tested questionnaire, in major cities of six main districts of Sri Lanka during November 2016 - May 2018. Data were analyzed using descriptive statistics, factor analysis, and multiple linear regression analysis. Results revealed that majority of the consumers were married females. Most of them were of 18-40 years of age category and were educated up to the GCE advanced level. The sample’s monthly income ranged from Sri Lankan Rupees 58000 – 85000.  Although the majority of the consumers (75.2%) were aware of organic food, only 11.5% possessed a good knowledge about them. As per the mean analysis, the consumers had a positive attitude towards most aspects of organic food. According to factor analysis, four factors (environmental factors, quality factors, health factors, and marketing factors) were extracted as they are influenced to the consumer attitude for purchasing of organic foods. Results of multiple linear regression analysis revealed a positive relationship between consumers’ attitude and the extracted four factors which were based on the consumers’ attitude on purchasing of organic foods. Main problems faced by consumers in buying organic food were the high price, unavailability of organic food, lack of trust, and lack of market information on organic food. It can be concluded that by providing the necessary conditions such as arranging better marketing facilities with useful market information, a continuous supply of organic foods with reasonable price levels, and enhancing consumer knowledge, will motivate the consumers to purchase more organic food. As relatively low is known about consumers’ purchasing pattern of organic foods in Sri Lanka, findings of this study would be beneficial to the traders and policy makers to formulate effective strategies designed to marketing of organic foods in the country.

    JEL CODE: Q13

  • Occupational choice and agricultural labour efficiency in Nigeria: Impact of ICTs
    111-117
    Views:
    147

    Increased labour efficiency is imperative in the developing world and particularly in Nigerian Agriculture which should be in its leaping phase. The interaction between labour efficiency and ICTs is inevitable in the realisation of the nation’s agribusiness potentials. Following a vivid descriptive statistics on main occupations and access to ICTs among the Nigerian populace, this study assessed effects of ICTs on the probability that a working aged Nigerian chose agricultural occupation over non-agricultural occupations. In doing so, the study analysed the effects of access to ICTs on agricultural labour efficiency in Nigeria. Data used for the analysis were drawn from the Nigerian General Household Survey-Panel held in 2010-2011 period. Analytical framework for the study include: Logistic Regression and Multiple Regression Models. Results show that access to mobile phones, using the internet to obtain information, and using the internet to send or receive mails were significant factors of the probability that a Nigerian chose agriculture or its related activities as a main occupation. Again, access to personal computers, use of the internet for e-banking, e-learning and for reading e-newspapers had significant impact on agricultural labour efficiency in Nigeria. The study recommends that labour policies should find a place for the role of ICTs, particularly the internet.

    JEL. Code: Q12

  • Urban Food Crop Farming and Farm Households’ Food Security Status in Oyo State, Nigeria
    23-28
    Views:
    158

    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

  • Willingness to pay for locally produced organic foods by urban consumers in Sri Lanka
    15-22
    Views:
    398

    Organic food consumption is gradually increasing among Sri Lankan consumers due to an increased awareness on healthy food. Some consumers ready to pay more for organic food, but it varies according to many factors. Therefore, the main objective of this study was to evaluate the urban consumers’ willingness to pay (WTP) for organically produced food in Sri Lanka. The specific objectives of the research were to investigate the socio-economic factors, the level of awareness on organic food, the present situation of buying, and the level of additional price ready to pay and analyze the impact of socio-economic factors on consumers’ willingness to pay. The research was conducted in urban Sri Lanka, covering capital cities of six urban districts of the country; Colombo, Galle, Gampaha, Kandy, Kurunegala, and Rathnapura. Data were collected from November 2016 to May 2018, from 600 consumers, by selecting 100 consumers per city. Data analyses employed were a descriptive analysis and binary logistic regression. Results revealed that, the most of the consumers were females, married, and with a comparatively higher level of education and monthly income. Most consumers had a significant level of awareness about organic food. A lesser proportion of consumers (24%) buys organic food at present, while the majority (52.4%) was willing to pay an extra price. Out of these consumers, the highest percentage (29.3%) prefers to pay 26% to 50% premium prices. As per the results of logistic regression, age, gender, monthly income, and education were the deciding factors for consumers’ willingness to pay a premium price for organic food. Results of this research are helpful for the development of production and marketing strategies and awareness programs for urban consumers on local organic food products.

    JEL CODE: Q1, Q13

     

  • Off-farm participation and technical efficiency among smallholder farmers in the Northern Region, Ghana
    35-43
    Views:
    198

    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

  • Intensity and Profitability of Smallholder Cassava Farmers’ Participation in Value Addition in Afijio Local Government Area of Oyo State, Nigeria
    Views:
    147

    This study investigated the intensity and profitability of smallholder cassava farmers’ involvement in cassava value addition in Afijio Local Government Area of Oyo State, Nigeria. Data were collected from 150 cassava farming households through the use of a well-structured questionnaire and employing a simple random sampling procedure. The data collected included information on the socioeconomic characteristics of the respondents, intensity of value addition among the respondents, factors influencing their decisions to add value as well as the extent of value addition, profitability of cassava value addition and the factors that determined the profitability level of the enterprises. The data were analyzed using the descriptive statistics for profiling the socioeconomic characteristics of the respondents, gross margin was used to measure profitability, and ordinary least squares regression model was used to determine the factors influencing the decisions of smallholder cassava farmers to add value to cassava as well as the extent of value addition among them. The results revealed that majority of the respondents were females (52.7%) with average age between 31-40 years of age while the average household size (52.7%) is between 6-10 members. Regression analysis of the determinants of the intensity of value addition revealed that the decisions to add value to cassava as well as the extent to which value was added were influenced positively by educational attainment, household size, and years of experience in cassava value addition. Results of the gross margin analysis revealed a positive return on variable costs thus indicating that the cassava value adding enterprise is a profitable one. These findings presented the need for all the stakeholders concerned to focus their attentions on proffering solutions to the challenges faced by cassava processors within the minimum time possible.

    JEL code: L11, M11, M21, Q13, R32

  • Determinants of credit access of cocoa farmers
    73-78
    Views:
    301

    Access to credit is one of the critical areas that are of prime interest to development practitioners, agribusiness entrepreneurs and agricultural economists, mainly access to credit by farmers in order to increase their production and also reduce poverty. This study sought to analyze the determinants of credit access among cocoa farmers in the Asunafo North of the Ahafo Region of Ghana. The multistage sampling procedure was used to collect data from 100 cocoa farmers with the aid of a questionnaire. Sources of credit, factors influencing access to credit, and constraints to credit were analyzed with the aid of descriptive statistics, multiple linear regression, and Kendall’s coefficient of concordance respectively. The results of multiple linear regression revealed that, age, marital status, education, experience, and family size were significant factors that influenced access to credit. The constraints analysis with the aid of Kendall’s coefficient of concordance showed that, high interest rate was highly ranked with a mean score of 1.93 whilst the need for a guarantor was least ranked with a mean score of 7.40. Based on the results, the study recommended that a policy aimed at expanding formal and semi-formal financial institutions credit portfolio to embrace cocoa farmers by finding alternative to collaterals and also reducing the interest rate will improve credit access with a positive externality effect of poverty reduction among cocoa farmers in the study area.

    JEL Classification: Q14

  • Economic issues of duck production: A case study from Hungary
    61-67
    Views:
    140

    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

  • Total Quality Management in the food industry – Current situation and potential in Germany
    83-87
    Views:
    439

    The requirements in terms of information availability, risk precaution and control in the food industry continue to increase. In this context the interest of companies in the Total Quality Management (TQM) approach is also increasing. This development attracts notice to Business Excellence and connected systems. Similarly, various quality management tools and techniques are available. In this regard a research project analyzed to what extent the companies in the food industry apply different activities of the TQM scheme. The research calculates the importance that the companies attach to different requirements of TQM and how they implement them. Additionally, statistical analysis provides evidence that there is a positive correlation between the implementation of the activities of TQM and the medium- to longterm success of a company. In this article the methodology and major findings of this research project are presented.

  • A Quantitative Assessment of the Rurality and an Efficiency Analysis of Emigration in Romania
    39-46
    Views:
    150

    In Romania, as in many other Eastern European countries, the early 1990s were marked by a significant emigration from the countryside as a consequence of the transition from a centralised economy to an open one and due to key changes in the political framework. The permanent emigration has predominantly been concentrated in rural areas where multiple socio-economic variables such as GDP per capita, unemployment, and public financial subsidies aimed at supporting people at risk of severe deprivation and poverty have all had a direct effect on rural depopulation. The rurality is a complex theoretical construct comprising many items and variables and is, therefore, difficult to define in a concise manner. The aim of this paper is to assess the evolution of emigration in Romania between 2001 and 2016 through a quantitative approach, estimating an index of rurality for the same period composed of a set of socio-economic variables having a direct or indirect nexus to it. In the first phase of research, a matrix of correlation and a multiple regression model has been used in order to estimate the direct links among all investigated variables. Following the quantitative methodology, in the second phase Partial Least Square Structural Equation Modelling (PLS-SEM) has been used in order to assess the main cause-effect relationships among a few selected endogenous variables and a set of socio-economic items. Furthermore, using a non-parametric Data Envelopment Analysis (DEA) output-oriented model, this research has assessed the efficiency in terms of permanent emigration from Romania estimated as an output to minimise and not as an output to maximise, as investigated by traditional efficiency approaches. In terms of efficiency, financial subsidies allocated by national authorities and the level of per capita Gross Domestic Product have acted directly on the level of emigration. The index of rurality in 2016 has been influenced in particular by he pluriactivity in farms in terms of agritourism, the dimension of farms in terms of land capital endowment, and the level of GDP per capita.

    JEL Classification: Q10; Q18

  • Empowerment of rural women farmers and food production in Rathnapura district in Sri Lanka: a household level analysis
    105-112
    Views:
    229

    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

  • PERCEPTIONS, PROFITABILITY AND DETERMINANTS OF GRANULATED CASSAVA PACKAGING IN KUMASI METROPOLIS, GHANA
    Views:
    151

    Packaging does not only protect a product but also provides directions for using the product, as well as relevant information about its content and nutritional value. This study was undertaken to assess Granulated Cassava (Gari) sellers’ perception, profitability and determinants of packaging in Ashanti Region. The study area was purposively selected because of the active participation and contribution of marketing activities. A structured questionnaire was administered in the form of interview to obtain primary data from the respondents. Data was generated using binary and multinomial logit regression model and Garret ranking technique. The results showed that there is 0.11% difference in the gross margin of both ventures which is also statistically significant at 1%. Years of education, legal requirement, and durability of the packaging material and cost of packaging material were the significant factors that influence sellers’ choice of packaging. Lack of technical know-how, cost of capital equipment and lack of knowledge on packaging equipment and/or material were the most limiting constraints affecting Gari packaging. The study recommends that investors should invest in the Gari packaging business since it has a relatively higher rate of returns as compared to the unpackaged one.

  • Using DEA to evaluate efficiency of higher education
    79-82
    Views:
    518

    The aim of the higher education reform process both in Hungary and in the European countries is establishing a competitive, qualitative higher education with efficiently operating institutions. The question of efficiency needs increased attention not only because of the decline of the state support but also the rapid raise of the student mass. In the educationsystemit’snot easy to measurethe output of the services.The situation is more complicated if an organisation or a sector has multiple inputs and outputs. In this case a possible method of determining efficiency is Data Envelopment Analysis. In my paper I’d like to introduce this method and use it to compare the efficiency of higher education systems. urthermore I am examining whether their efficiency is influenced by the extent of the contribution of the state and the private sector or socio-economic factors like GDP per capita and education level of parents.

     

  • Diversification strategies and their impact on farm performance
    57-61
    Views:
    127

    The objective of this study is to identify factors determining the economic performance of agricultural holdings in Italy, with specific attention to the impact of the adoption of on-farm diversification strategies, namely income diversification and product differentiation. The adoption of these kinds of strategies has been increasingly recognised as a viable business option in agriculture as they allow better allocation of farm resources and an increase in the quota of value added retained on farms and therefore not passed on to other agents operating at the end of the food supply chain. By using a panel of professional Italian farms over the time period of 2003-2009, we estimate random effect, ordinary least square and quantile regression models to estimate the impact of income diversification and product differentiation strategies on the levels of farm income per unit of labour income. Our findings show that scale economies are important positive determinants of farm economic performance. On the contrary, when the family play an important role in the farm business, economic performance is worse. Finally, we do not find evidence of a statistically significant impact of the adoption of income diversification and product differentiation strategies. This latter result may be interpreted as a signal that farms use these strategies as risk management tools rather than as income increasing ones.

  • Comparing parametric and semiparametric error correction models for estimation of long run equilibrium between exports and imports
    19-23
    Views:
    136

    This paper introduces the semiparametric error correction model for estimation of export-import relationship as an alternative to the least squares approach. The intent is to demonstrate how semiparametric error correction model can be used to estimate the relationship between Ghana’s export and import within the context of a generalized additive modelling (GAM) framework. The semiparametric results are compared to common parametric specification using the ordinary least squares regression. The results from the semiparametric and parametric error correction models (ECM) indicate that the error correction term and import variable are significant determinants of Ghana’s exports. On the basis of Akaike Information Criteria and Generalized Cross-Validation (GCV) scores, it is found that the semiparametric error correction model provides a better fit than the widely used parametric error correction model for modeling Ghana’s export-import relationship. The results of the analysis of variance provide further evidence of nonlinearity in Ghana’s export and import relationship. In effect, this paper demonstrates the usefulness of semiparametric error correction model in the estimation of export – import relationship.

    JEL code: C14, C18, C22, F10, F14

  • The effect of working capital on profitability of poultry egg enterprise in Osun State, Nigeria
    Views:
    104

    This study investigated the effect of working capital on the profitability of poultry egg enterprise.   Primary data were collected from 180 poultry egg farmers using two-stage sampling technique. Data were collected on the socio-economic characteristics such as age, gender, educational qualification, farming experience and flock size owned, quantities of inputs and outputs. Descriptive statistics, farm budgetary technique and ordinary least square model were used to analyze the data collected.  The results from descriptive statistics show mean values of 42 years, 9 years and 5 persons for age, years of experience and household size, respectively. Majority of poultry egg farmers (52.2%) used their personal savings to fund their businesses while, some had access to loan from co-operative societies (37.2%), from SEAP microfinance (6.7%) and from banks (3.9%). Poultry egg producers invested their working capital on feeds (64.8%), rearing of poultry birds from day old chicks to point of lay (14.8%), account receivables (13.6%), drugs & vaccines (2.4%) and variable overheads (4.4%). A total cost of ₦5,494,927.04k was incurred by the poultry egg producers. Cost of feed accounted for 71.89% of the total cost of production. A total revenue of ₦9,388,555.60k and the net returns of ₦3,893,628.56k were realized. The net farm income per bird from the enterprise was ₦1,698.05k while the gross margin per bird was ₦1,795.32. The ordinary least squares regression estimates revealed that inventory, account receivable, operating cycle and flock size have significant effect on the profitability of poultry egg enterprises. The study concluded that poultry egg enterprise is profitable and working capital has a significant effect on the profitability of poultry egg enterprise. In light of the findings, the study recommended the expansion of the poultry flock size as well as reduction in the number of days of inventories, account receivables and operating cycle in order to increase the profitability of poultry egg enterprise.

  • Factors influencing Albanian consumer preferences for standardized olive oil
    131-136
    Views:
    134

    Albania is considered one of the most important countries where olives are cultivated due to its geographical position and climate conditions. The country is facing many problems with the quality of olive oil which is related to cultivation methods and agronomic techniques. The economic value of the sector is calculated almost €20 million per year. For years the cultivation of olives and associated products have been considered an important sector within agriculture and are an integral part of the Albanian diet. The current study aims to analyze the factors influencing consumer preferences for a standardized olive oil. The data collection was conducted through a socio-economic survey. The survey was an important element which provided general and specific information linked to the study area. The interviewees were selected randomly. Descriptive and multinomial logistic regression analyses were used to evaluate the survey data. As a result, we conclude that Albanian consumers prefer domestic olive oil because they are familiar with the taste and believe in its qualities. Usually, Albanian consumers choose the quality of olive oil at the purchase moment, due to their close relationship with the seller.

    JEL CODE: D12

  • Protected geographical indication recognition and willingness to pay: A case of grojec apple
    73-80
    Views:
    160

    The Grojec region of Poland is an important region for apple production and accounts for 40 percent of domestic apple production. Apple growers from the region made an attempt to strengthen their competitive position through registering their apples as Protected Geographical Indication (PGI) products. The European Commission’s PGI allows food producers to obtain market recognition and a premium price for their products. Although the Grojec Apple received PGI registration in 2011, little has been done to promote apples with the PGI label. Two important research questions are addressed: 1) Does the Polish market recognize Grojec Apple PGI, and 2) Does the market value Grojec Apple PGI? Logit and regression models are estimated using survey data collected during an International MBA in Agribusiness and Commerce study week in Warsaw. Only 22% of consumers recognize Grojec Apple PGI. Yet, 70% of consumers indicate they are willing to pay more for the product and their average willingness to pay (WTP) premium is 32%. Results indicate use of the PGI label may be effective in improving sales and profit margins for Grojec Apple producers and their affiliated cooperatives. Older consumers are more likely to indicate a WTP premium. Males, smaller households, and consumers less sensitive to apple price indicate a higher WTP premium. An advertising campaign promoting Grojec Apple PGI as a better product may be effective at increasing consumer likelihood to pay more and WTP premium. Although “Grojec” is already familiar to most consumers in central Poland as a region for apples, a Grojec Apple with PGI label would assure consumers they are purchasing apples from the Grojec region and the apples are high quality.

    JEL Code: D12, Q13, Q18

  • Analysis of household crop commercialization in Nigeria
    Views:
    265

    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

  • Consumers’ Awareness, Perception and Interest in Labelling of Processed Foods in Ghana: A Case of ‘Sobolo’
    Views:
    369

    Food labels contain much information that helps consumers to make decisions based on the details which are of much importance to them. The study assessed awareness, perception and factors that influence consumers’ interest in labelling of sobolo in the Kumasi Metropolis of Ashanti region, Ghana. Systematic random sampling was used to select 300 respondents from five randomly selected sub-metros and data were collected using a semi structured questionnaire. Descriptive statistics such as frequencies, tables and percentages were used to summarize the socio-economic characteristics of respondents. Perception index was used to assess the perception statements on the product labelling and the Logistic Regression Model was used to analyze the factors that significantly influence consumers’ interest in labelling of sobolo. Results of the study showed that majority (97.3%) of respondents were not aware of labelled sobolo but 67% was interested, though with low awareness. The estimated perception index (2.8) showed that consumers had positive perception about labelling of sobolo. Among the socio-economic characteristics; age, education, household income and household size and respondents’ perception on health and safety aspects of sobolo were found to significantly influence interest in labelling of sobolo. In conclusion, the study found that, consumers would prefer different information on labels and thus their interests are significantly influenced by different factors. It is recommended that efforts should be made to promote the awareness, education and interest in labelling of food products to enhance production, consumption and sustainability of the food industry.

  • Determinants of dividend payout policy: An empirical study of banking sector of Pakistan
    101-106
    Views:
    375

    One good way to communicate financial performance of a bank to its shareholders is the payment of dividend. The present study is attempted to explore the influence of financial efficiency, safety, risk and profitability on dividend policy using panel data of 10 commercial banks listed at Pakistan Stock Exchange (PSX) for a period of 9 years between 2006 to 2014. The panel regression technique is used to analyze the data. The analysis shows a positive relationship of dividend payout ratio with safety and profitability in banking sector of Pakistan. The study identifies a negative association of dividend payout measure with financial efficiency and risk. The results show the statistically significant association of safety, risk and profitability with dividend payout ratio. Based on these findings it is concluded that safety, risk and profitability measures are relatively strong measures for defining dividend policy. The results are strongly indicating that safer the banks, the greater payout ratio the bank has. Moreover; banks with higher profitability and lower non-performing loans (NPLs) are believed to pay more dividends.

    JEL code: G21, G23, G35

  • Economic analysis of some agrotechnical factors in maize production - a Hungarian case study
    5-16
    Views:
    383

    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

  • Commodity Indices Risk and Return Analysis Against Libor Benchmark
    55-66
    Views:
    128

    This study analyze the risk and return characteristics of commodity index investments against the LIBOR benchmark. Commodity-based asset allocation strategies can be optimized by benchmarking the risk and return characteristics of commodity indices with LIBOR index rate. In this study, we have considered agriculture, energy, and precious metals commodity indices and LIBOR index to determine the risk and return characteristics using estimation techniques in terms of expected return, standard deviation, and geometric mean. We analyzed the publicly available daily market data from 10/9/2001 to 12/30/2016 for benchmarking commodity indices against LIBOR. S&P GSCI Agriculture Index (SGK), S&P GSCI Energy Index (SGJ), and S&P GSCI Precious Metals Index (SGP) are taken to represent each category of widely traded commodities in the regression analysis. Our study uses time series data based on daily prices. Alternative forecasting methodologies for time series analysis are used to cross-check the results. The forecasting techniques used are Holt-Winters Exponential Smoothing and ARIMA. This methodology predicts forecasts using smoothening parameters. The empirical research has shown that the risk of each of the commodity index that represents agriculture, energy, and precious metals sector is smaller compared to its return, whereas LIBOR based interest rate benchmark shows higher risk compared to its return in recession, non-recession and overall periods.

    JEL Classification: C43, G13, G15

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