scholarly journals Geospatial Application in Forest Reserves Distribution and Sawmills Proximity as a Major Sources of Timber Product in Ibadan and Ibarapa Divisions, Oyo State, Southwest Nigeria

Author(s):  
Fatunmibi Olugbemiga ◽  
Adewuyi, Gbola Kehinde

The proximity to forest reserves has been considered one of the major factors affecting the spatial distribution of timber based industries. This study assesses the spatial distribution of forest reserves and sawmills in Ibadan and Ibarapa divisions, Oyo State, Nigeria. Existing map of forest reserves of Oyo State and Oyo State shape file was used. The primary data included the geographical coordinates of locations of all existing and functioning sawmills in Ibadan and Ibarapa divisions and this was acquired with Handheld Global Positioning System (eTrex Garmin 30x). The base maps were georeferenced in ArcGIS 10.2 using the coordinates of the base map and the area covered by each forest reserve was digitized. The distance from each sawmill to the nearest forest was determined to ascertain their proximity. The results shows that the forest reserves in Ibadan division covered a total of 47,874.691 hectares of land while a total of 59,011.146 hectares were accounted for the Ibarapa division. From Ibadan division, Ijaiye forest reserve has the highest area of land of 25,544.856 ha (53.36%) and Eleyele forest reserve has the least 526.092 ha (1.10%). Igangan with highest forest reserve of 40,643.885 ha (68.87%) from Ibarapa division, and Eruwa forest reserve has the least 7,488.207 ha (12.69%). Generally from the study area, twenty-one (21) sawmills were visited and recorded in all the forestry zones. Four (4) forest reserves are in Ibadan and three (3) in Ibarapa divisions. The travel distance from sawmills to the nearest forest reserve in Ibadan; Gambari, Osho and Eleyele forest reserves was within 5-15km while other are far. It can be concluded that, more sawmills is needed in the study area like Ijaiye, Lanlate as the travel distance of sawmills to the forest reserves is far and this may cause high price in the price of timbers and other forest products.

Economies ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 21
Author(s):  
Mariusz Urbański

The purpose of this research was to conduct a comparison of the push and pull factors affecting migration between Poland and Romania. The study aimed to find out which among the push and pull factors have a greater effect overall and individually on the migration activities. The study was conducted using primary data collected from migrants in both countries using a structured questionnaire. There were data from 298 and 288 surveys for Poland and Romania, respectively. The push and pull migration framework was applied to guide the study. The model suitability was confirmed satisfactory on validity, reliability and factor analysis. The hypothesis was analyzed and evaluated using multiple regression analysis. The findings of the study indicated that pull factors have a greater influence on migration in these two countries as compared to the push factors. Five out of six (economic, political and social in Poland and economic and political in Romania) pull factors were found significant as compared to two (social in Poland and in Romania) out of six push factors. Pull economic factors were significant determinants of migration in all the countries. Pull political factors were found to have the highest effect in both countries, because they influenced migrants in Romania. Economic factors are the major factors that influence migration, including the hope of finding better jobs and better life in the foreign countries, and these factors should be addressed in the effort to reduce migration. In addition, political issues such as unfair legal system, violent conflicts, underdevelopment, poverty, political instability and corruption should be addressed to control the issue of migration.


2021 ◽  
Vol 2 (1) ◽  
pp. 14-32

The internet has undoubtedly become crucial to global growth as it vectors lots of opportunities. This study was motivated by the perception that Nigerian consumers prefer traditional over virtual shopping despite having internet access. This study sought to investigate the factors affecting the online buying behaviour of consumers in Abuja Metropolis. The study used purposive and convenience sampling technique to select 352 respondents. Primary data was collected with the aid of structured questionnaires. The data collected was analyzed using multiple regression analysis with the aid of the SPSS statistical tool. The study found that while on-time delivery has a positive and significant effect on the online buying behaviour of consumers in Abuja Metropolis, product quality was found to have a positive and insignificant effect on the online buying behaviour of consumers in Abuja Metropolis while the perceived risk was found to have a negative and significant effect on the online buying behaviour of consumers in Abuja Metropolis. The study concludes that on-time delivery, product quality, and perceived risk are the major factors affecting the online buying behaviour of consumers in Abuja Metropolis. The study, therefore, recommends that there is a need for companies utilizing online platforms for business operations to align the advantages of online shopping with traditional means of purchase, speed up the delivery processes, and as much as maintaining a high degree of confidentiality regarding their customer’s information during the process of online payment. Keywords: online buying behaviour, product quality, on-time delivery, perceived risk.


2021 ◽  
Vol 943 (1) ◽  
pp. 012025
Author(s):  
H Pandey ◽  
S Rajmohan ◽  
S Bung ◽  
S Y Bhutia

Abstract The rural and tribal communities of Madhya Pradesh’s Shivpuri District depend on forest resources for meeting their domestic energy needs, forest products, and employment. Under Green India Mission, households were randomly selected and surveyed. The data of 61 households from 3 villages of Satanwada range (dry deciduous forest) and 131 households from 4 villages in Pichhore range (dry deciduous scrub forest) was collected through semi-structured questionnaire interviews and direct observation. Generalised Linear Model was used to determine the major factors affecting fuelwood collection. The study revealed the factors affecting the amount of fuelwood collection in Satanwada and Pichhore. Family size of households near to the forest negatively affected the amount of fuelwood collected; opportunity cost of fuelwood collection was lower for them than for families living further away from the forest in Satanwada. In Pichhore, LPG consumption reduced the amount of fuelwood collected, while cow dung complimented the quantity of fuelwood collected. Since the availability of fuelwood was scarce, alternate energy resources became determining factors of the amount of fuelwood collected. In both ranges, the distance of the forest from households had a positive effect on the quantity of fuelwood consumed due to higher opportunity cost and degradation of adjacent forests. The study also revealed a strong correlation between the sampled population percentage of women in villages and the sampled village cattle count. The study also showed the difference of fuelwood collection in Satanwada (8.8 ± 0.6 kg) and Pichhore (6.8 ± 0.4 kg) suggesting that forest degradation correlates with lesser utilisation of forest resources. Hence, the study justifies the need of synergy between public rural provisions of alternative fuel sources with afforestation programs.


2019 ◽  
Vol 3 (2) ◽  
pp. 1-17
Author(s):  
Usman Rafiq

As Asian footwear export progresses and major regional export players skimming economic benefits, it is ever more important for the policy makers and business practitioners to understand major factors affecting footwear export of Pakistan. In this way, the objective of this research paper is to evaluate factors that have a significant impact on footwear export of Pakistan. We took Punjab province as our sampling frame because 90 percent of the footwear export manufacturing organizations are situated in this province. We took a sample of 44 manufacturers purposively from the cities of Lahore, Sialkot and Sheikhopura. Primary data was collected through a questionnaire which was emailed to export directors and managers. Footwear exported to the rest of the world was measured for the year 2015 whereas impact of significant variables was determined through regression analysis. Prerequisites of regression analysis assumption; normality, multicollinearity and autocorrelation were applied to the sample data. The value of R2 was 0.899 suggested that it was strong and reliable model. We found that years of qualification, export experience, ISO certifications, average raw material price, international trade exhibitions were highly significant for footwear export of Pakistan whereas average marketing cost was insignificant factors for footwear export.


2019 ◽  
Vol 18 (01) ◽  
pp. 1950003 ◽  
Author(s):  
Hansani Kalawilapathirage ◽  
Olufemi Omisakin ◽  
Susan Zeidan

Intense competition has made it critical for airlines to retain its highly capable staff by ensuring the highest job satisfaction of its employees. This competition has resulted from the emergence of budget airlines focussed on a niche market. To provide a differentiated passenger experience whilst flying with airlines, the management should ensure that all the staff, including ground level and cabin crew, who are the initial contact point with customers are highly satisfied in terms of their job roles. The study evaluates human resource (HR) factors affecting job satisfaction with a given (anonymous) airline. A detailed study and analysis of major factors contributing to job satisfaction in the said airline was carried out. In analysing the relationship and current level of job satisfaction, the study uses a quantitative approach, with primary data obtained from questionnaires completed by employees in one of the airlines. Further, the study has identified independent variables as being financial rewards and recognition, training and development, and work environment. Statistical tools, such as correlation and regression analysis, are used to evaluate the responses from questionnaires and to provide significance of the independent variables contributing to job satisfaction.


2018 ◽  
Vol 16 (1) ◽  
pp. 7-21 ◽  
Author(s):  
MT Ahmed ◽  
H Bhandari ◽  
PU Gordoncillo ◽  
CB Quicoy ◽  
GP Carnaje

The study was carried out to investigate the patterns and extent of livelihood diversification in rural Bangladesh. It also identified the major factors affecting extent of livelihood diversification. The study drew a random sample of 500 rural farm households in Bangladesh through a multi-stage sampling technique. The primary data were collected using semi-structured questionnaires, and analyzed using descriptive statistics and statistical techniques. The results showed that remittance contributed the highest to the household income followed by petty business and rice farming. The estimated values of Simpson Index of Diversification (SID) showed that majority of the rural households had “medium” and “high” level diversified livelihood activities. Tobit regression analysis found that gender of the household head, household size and amount of credit had positive and significant effects; and number of migrant household member, dependency ratio, household assets, education of the household head and amount of savings had negative but significant effects on the extent of livelihood diversification. The small and medium landholding households were more likely to diversify their livelihoods compared to the functionally landless and large landholding households. The study recommended that non-farm employment opportunities should be expanded to combat poor households' vulnerability to shocks and income fluctuations. Functionally landless households should be given more attention to increase and diversify their incomes.SAARC J. Agri., 16(1): 7-21 (2018)


2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Pooshan Upadhyay ◽  
Keertiman Sharma

The paper presents the primary data of 150 respondents across Lucknow region. To explore the customers' <italic>perception</italic> of Nano, analysis has been done on various variables like price, style, attributes, availability, and the factors affecting the Indian customers are highlighted. A study of the performance of the retailers has also been done for fastest sales conversion .It was found that the three major factors influencing the decision of purchasing the car are price, fuel efficiency and performance of the car. The study also revealed that the majority of the respondents’ like the car because of their style and effective price and 70 percent Nano customers already had a car. It was also found that these perceptions are reflected in the performance of the company, too. With the increasing competition amongst automobile companies, the findings can act as a strategic tool to achieve competitive advantage and customer satisfaction.


Author(s):  
T. S. Kareem ◽  
K. O. Oyeniyi ◽  
F. A. Ajiboye

SMEs in the textile sub-sector are the main players in domestic economic activities, especially as providers of job opportunities for unemployed youths. However, the sector has been devilled by the high influx of counterfeit and smuggled goods which have resulted in low patronage of Nigerian-made textiles materials. This study, therefore, seeks to appraise the factors influencing SMEs in the textile sub-sector in Yoruba Land, Southwest, Nigeria. Purposive sampling technique was employed to select 50 indigenous textile entrepreneurs from Iseyin, Oyo State, Nigeria. The study employed primary data, sourced through structured questionnaire Descriptive statistics such as frequency, simple percentage, and mean were used to analyze the data. Results reveal that the major motivating factors are; employment generation, to have control over life, opportunity to create a fortune, high job security, and impressive profit attraction. Results also reveal that the high influx of counterfeit and smuggled goods are most factors affecting the performance of SMEs in textiles in Nigeria. Subsequently, the study recommends that the federal government should earmark a substantial amount to bail out the SMEs in the textile sub-sector and also to ban the importation of textiles. This will ultimately drive many young graduates into the sector.


2013 ◽  
Vol 2 (2) ◽  
pp. 140-150
Author(s):  
Md. Abul Kalam Azad ◽  
Mohammad Zahir Raihan ◽  
Mohammad Zahid Hossain Bhuiyan

The study is on 10 locally private commercial banks operating in Bangladesh. In this study, secondary data have been extensively used. Some primary data have also been used in the study. These were collected from a total number of 10 Executives in-charge of Corporate Social Responsibility Department using structured closed end questionnaire. While collecting primary data, direct interview method was mainly used. The main objective of the study is to critically analyse the CRS performances in the selected banks which covered the Heads of CSR activities, the determinants of CSR activities, Investment in CSR activities and Impact of CSR investment. The period of empirical study covered 4 financial years ranging from 2009 to 2012.  The main findings of the study are; (i) some 90% of the respondents have emphasized on the significance of CSR activities in the selected banks, (ii) some 60% of the respondents have emphasized on the significant impact of CSR investment on the Market price of the Share (MPS), (iii) the major factors affecting CSR activities have been Sustainable development, Business tool, Leadership and ethics, (iv) empirical analysis of the study reveals that the CSR investments as percentage of total investment of the respective banks have been very negligible ranging from 0.01% to 2.87% only during the study period. It is found that out of the seven heads of CSR expenditures Health sector have occupied the highest position in majority banks followed by Education sector. Therefore, it can be concluded that the selected banks should increase their investment in CSR activities in order to create more confidence among the existing clients as well as prospective customer in one hand and increase MPS of the banks on the other. JEL Classification Code: G21; G28


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