An Analysis of Factors Affecting SME's Exporting Efforts in Zimbabwe. A Case of the Agriculture Sector

2020 ◽  
Author(s):  
Anthony Tapiwa Mazikana
2018 ◽  
Vol 14 (1) ◽  
pp. 77
Author(s):  
Ahmad Rifai ◽  
Siswanto Siswanto ◽  
Eri Sayamar

<p>Abstract : This study analysis the factors affecting the depth of outreach of<br />Microfinance Institutions (MFIs) of UED-SP at Rambah Sub-district Rokan Hulu<br />District. Factors thought to influence the depth of outreach is age of UED-SP, ROA,<br />percent of trading sector clients, percent of agriculture sector clients and number of<br />woman clients. The sampling method is done using by purposive sampling. This study<br />obtained a sample of twelve UED-SPs in the village at Rambah District from in the<br />period of 2012-2015. The data used is secondary data form pooled data. Data were<br />obtained based on the financial reports of each of the samples. This study uses<br />quantitative approach with analysis technique used is multiple linear regression<br />analysis with fixed effect model of pooled data that were previously tested with the<br />classical assumption test. Hypothesis testing using t-statistic and the F-statistic with<br />95% confidence level. Based on the classic assumption test found no variables that<br />deviate. This shows that the available data has been qualified using the linear<br />regression equation model. The results of this study show that depth of outreach are<br />statistically significant infiuenced by age of UED-SP. However, it’s negatively affect<br />on depth of outhreach. Whereas ROA, number of woman borrower, percent of<br />agriculture sector clients and percent of trading sector clients has no affect on depth of<br />outhreach. Predictive ability of these five variables on the depth of outhreach is 77,66<br />percent, while the 22,34 percent influenced by other factors not included in the<br />research model.</p><p> </p><p>Abstrak : Penelitian ini bertujuan untuk menguji faktor-faktor yang mempengaruhi<br />kedalaman jangkauan (Depth of Outrech) pada LKM UED-SP di Kecamatan Rambah<br />Kabupaten Rokan Hulu. Faktor-faktor yang diduga berpengaruh terhadap kedalaman<br />jangkauan adalah umur UED-SP, rasio pengembalian aset (ROA), jumlah peminjam<br />wanita, proporsi peminjam sektor pertanian dan proporsi peminjam sektor perdagangan. Metode pengambilan sampel dilakukan dengan menggunakan purposive sampling. Dalam penelitian ini diperoleh sampel sebanyak 12 LKM UED-SP di Desa/Kelurahan yang ada di Kecamatan Rambah dan data yang dihimpun adalah 4 tahun dari tahun 2012-2015. Data yang digunakan adalah data sekunder data panel. Data diperoleh berdasarkan laporan keuangan dari masing-masing sampel. Teknik analisis yang digunakan adalah analisis regresi linear berganda data panel dengan model Fixed Effect (FEM) yang sebelumnya diuji dengan uji asumsi klasik. Uji hipotesis menggunakan t-statistik serta F-statistik dengan tingkat kepercayaan 95%. Berdasarkan uji asumsi klasik tidak ditemukan variabel yang menyimpang. Hal ini menunjukkan bahwa data yang tersedia telah memenuhi syarat menggunakan model persamaan linear berganda. Hasil penelitian menunjukkan bahwa variabel umur UEDSP berpengaruh signifikan terhadap kedalaman jangkauan. Namun berpengaruh negatif terhadap kedalaman jangkauan. Kemampuan prediksi kelima variabel tersebut terhadap kedalaman jangkauan adalah 77,66 persen, sedangakan 22,34 persen dipengaruhi oleh faktor lain yang tidak dimasukkan ke dalam model penelitian.</p>


2017 ◽  
Vol 35 (1) ◽  
pp. 49-56 ◽  
Author(s):  
Saeed Gholamrezai ◽  
Fatemeh Sepahvand

AbstractOne of the main challenges of water scarcity is the water consumption in the agriculture sector. Therefore, optimizing water consumption and applying an optimal management in the agriculture sector is necessary. The implementation of a participatory management of water resources in the rural areas and the creation of Water User Association (WUA) can be a successful approach towards this management. That requires the continuity of the management, the comprehensive participation of farmers, and the exploitation of water resources; however, this action needs to understand the factors affecting the behavior of consumers. Thus identifying the factors influencing farmers’ intentions towards participation in WUA is essential. The purpose of this study is to identify factors affecting farmers' intentions towards participation in water user association, by theory of planned behavior (TPB). There are 21 agriculture water pumping stations active in Lorestan Province. Farmers at each agriculture water pumping stations make up a Water User Association. The population of this study consisted of all WUAs in western Iran (N = 1990), and through a proportional stratified random sampling technique farmers were selected (N = 133) from the population. Moreover, the validity of the questionnaire was confirmed by a panel of experts. The reliability of the questionnaire was calculated at pre-test stage for different parts of the questionnaire ranging from 0.83 until 0.91. The collected data were analyzed using Statistical Package for the Social Sciences 20 software. The results revealed that there were effective variables including subjective norm, attitude, and extension training courses which contributed to the importance of participation in the water management, and that the educational level of farmer was a controlled variable that could affect farmers' attitudes towards participating in Water User Association; these factors could explain 53% of farmers' participation totally.


Author(s):  
Upasana Dutta

The agriculture sector is reeling under the pressures of population, land and water scarcity, diseases, disasters and the most challenging of them all, climate change. Although climate change is yet to be charged with affecting agriculture, but in recent years trends of change have been witnessed in various crop production, with a hint of climate's role in it. With the advent of technology, these trends have become easier to analyse and in certain cases predict too. Information Technology (ICT) tools like Geoinformatics are playing a profound role in the agriculture sector and is helping to understand and assess the various factors affecting the growth of crops along with finding out the alternative suitability parameters for better production and distribution. The main aim of this chapter on agro-geoinformatics is to look into this linkage between technology usage and better potato production during adverse conditions.


2021 ◽  
Vol 8 (3) ◽  
pp. 81-85
Author(s):  
Aastha Bhusal ◽  
Sagar GC ◽  
Laxman Khatri

The information and communication technology (ICT) is vital for the farming communities to intensify agricultural development in Nepal. This review presents the research in ICT highlighting the role of ICT in the agriculture sector and various factors affecting the dissemination process. About 60.4% of the total population is dependent on agriculture in Nepal. However, due to lack of awareness and higher cost of technology, the smallholder’s farmers are deprived of receiving the reliable and recent information on agriculture resulting in reduction in crop production and productivity. In order to strengthen the existing extension system, it is important to minimize the cost of the technology transfer process and make people aware of the effective use of technologies. The knowledge on the new and innovative ideas need to be easily disseminated to the youth groups as they are using smart mobile phones and can easily receive the information. Furthermore, the review reveals that there is an urgent need to disseminate simple and compatible agricultural information to reduce the farming risk and maximize farm benefits


2019 ◽  
pp. 1457-1476
Author(s):  
Upasana Dutta

The agriculture sector is reeling under the pressures of population, land and water scarcity, diseases, disasters and the most challenging of them all, climate change. Although climate change is yet to be charged with affecting agriculture, but in recent years trends of change have been witnessed in various crop production, with a hint of climate's role in it. With the advent of technology, these trends have become easier to analyse and in certain cases predict too. Information Technology (ICT) tools like Geoinformatics are playing a profound role in the agriculture sector and is helping to understand and assess the various factors affecting the growth of crops along with finding out the alternative suitability parameters for better production and distribution. The main aim of this chapter on agro-geoinformatics is to look into this linkage between technology usage and better potato production during adverse conditions.


2018 ◽  
pp. 77-89
Author(s):  
Zyra May Centino ◽  
Arvin Vista

The need to adapt to the negative impacts of climate change is urgent especially in the agriculture sector. However, there have been no published reports whether upland corn farmers are applying climate change adaptation strategies. This study sampled 91 upland corn farmers in Sagbayan, Bohol, Philippines to determine the factors affecting their decision to employ adaptations strategies. The adaptation strategies are those soil and water management and conservation techniques employed by farmers, which is modelled using binary logistic regression. The average age of the respondents was 56 years old. Respondents have been in corn production for an average period of 30 years. More than 50% of their annual household income comes from farming (PhP 25,393). Results showed that gender, farm income, total land used in farming and value of farm assets were the determinants of farmers’ use of adaptation strategies. Overall, corn farmers are knowledgeable of the impacts of climate change; however, employment of adaptation strategies is minimal. Hence, intervention should focus on programs that will increase probability of farmers employing adaptation strategies. Such programs may include farm-to-market roads to minimize post-harvest losses, setting of farmer field school and information drive.


Author(s):  
Muhamad Ferdy Firmansyah ◽  
Dewi Pratiwi Pusparini ◽  
Arriane A. Vivero ◽  
Neldren Grace Lababit

Food production provides an overview of developing a country's agriculture resilience and food security. Several factors can affect food production. They can be divided into agriculture factors and non-agriculture factors. This research aims to find agricultural and non-agricultural factors affecting food production. We assume the food production with a used average value of food production. A quantitative approach using a panel data model approach using for this research. The data used is secondary data. The results are that the factors that can affect food production with a used average value of food production are dependent variables. In this research, we used independent variables as follows agriculture land are, agriculture value-added, employment in the agriculture sector, credit to agriculture, and control variable. Control variables used in this research are annual population, gross domestic product, and political stability. This research is based on Vietnam, Thailand, Indonesia, and the Philippines. We used data panel regression for estimating the model, the data period used is in the period 2010-2019. This study provides recommendations that in increasing the optimization of food production, it is necessary to plan for value-added, empower workers, suppress population growth, and political stability.


2017 ◽  
Vol 9 (2) ◽  
pp. 234
Author(s):  
Hosein Mohammadi ◽  
Abdolhamid Moarefi Mohammadi ◽  
Solmaz Nojavan

Pollution by fertilizers containing nitrogen is one of the most significant sources of water pollution, and agriculture sector has a considerable share in this type of pollution. In this study, factors affecting the level of contamination of surface and underground water resources by agricultural activities were examined. Data of 254 wheat farmers in the plain of Mashhad in Khorasan Razavi province in Iran were used for investigating the effect of some explanatory variables on the level of water pollution utilizing Ordered Logit Regression Model. The results show that main activity of farmers, years of experience, the level of education, awareness of organic farming, level of income, price of fertilizers and irrigation method have significant effect on the amount of fertilizers utilized by farmers and hence the level of water resources pollution. Efforts for decreasing pollution of water resources require strategies such as changing the main activity of farmers, increase the cost of using chemical fertilizers, create economic incentives for organic farming, and increase general information and knowledge of farmers.


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