Academic literature on the topic 'Conference on the Challenge of Small Business in Nigeria'

This study examined the operational characteristics of MSEs and their contributions towards addressing the national challenge of unemployment. The research was based on Ado-Odo/Ota Local Government Area in Ogun State, Nigeria. The study employed descriptive analysis and Ordinary Least Square (OLS) regression technique in estimating the data obtained. The administration of questionnaire was applied to collect the data. The study found out that micro and small-scale enterprises contributed to economic growth through their operational activities, via the job creation in the economy. Thus, the study recommended that government policies should be put in place to encourage micro and small enterprises, and the provision of infrastructures, credit facilities, tax holidays, training program, amongst others, for MSEs. It was also recommended for funding agencies to consider the trends of practicing MSEs towards addressing critical economic and social issues such as job creation, in granting them funding facilities, in order to facilitate continuous participation in job creation among Nigerian MSEs. AcknowledgmentThe authors appreciate the Management of Covenant University for funding the publishing of this manuscript in this journal.

The paper addresses the possibility of wealth creation in the real sense of it beyond theoretical postulations, which abound from previous studies on waste in Nigeria. Among such previous studies referenced, majority did not delve into the real process of turning waste to wealth for the purpose of creating actual wealth. This study therefore intends to achieve actual wealth creation from waste by throwing entrepreneurial challenge to the indigenous talented and skillful individuals. The study discovered six ‘waste’ items, that is, maize husk, pure water nylon, banana stem, pineapple leaves, sisalina leaves and areca leaves that are convertible manually into new products such as maize-husk paper products; paving stones/slabs from pure water-nylon; banana stem, pineapple leaves and sisalina fibre for weaving products such as caps, bags, cloths, floor mats, table mats, decorations, and areca-leaves into -nut plates and spoons useful at parties, restaurants and bukas in Nigeria and Africa.

NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose................................................................................................................................................................................................. The study seeks to examine the strategic interventions needed to promote the performance of small and medium enterprises (SMEs). Specifically, it analyzed the relationship between organizational learning, cultural values and SMEs performance. Background................................................................................................................................................................................................ The performance of SMEs has been identified as one of the most important success factors behind growth, development and industrialization of nations. In anticipation of such outcome, SMEs have been given adequate attention in emerging economies such as Nigeria but it has performed below expectations. Existing studies noted that business organizations are able to develop by employing strategic management interventions. Strategic interventions involve a deliberate attempt to move organizations towards a more effective state and improve performance. The expected components of strategic interventions needed to achieve the expected change in performance of SMEs are organizational learning and cultural change. However, there has not been a complete research outcome on the relevance of organizational learning and cultural change to SMEs performance in Nigeria. Therefore, the main research question is; whether organization learning and cultural values contribute significantly to SMEs performance. Methodology................................................................................................................................................................................................ In this study, the researcher employs quantitative research methods. Structured questionnaires are used to collect primary data. The study uses data set of 571 owners/managers of registered SMEs with the Ministry of Commerce and Trade in the study area. The structural equation modeling (SEM) was performed to address the research objectives. Contribution................................................................................................................................................................................................ The study provides useful information to understanding the path to achieving SMEs performance through application of strategic interventions approach. It highlights the relevance of organizational learning to improving market share and profit in the small and medium enterprises sector. Findings..................................................................................................................................................................................................... The findings indicate that organizational learning can positively boost performance of the SMEs but cultural values, though covaried with organizational learning do not add to performance outcome of the SMEs. The organizational learning is found to play the direct role of boosting performance through team learning, empowerment, embedded system, inquiry and dialogue and continuous learning respectively. Recommendations for Practitioners............................................................................................................................................................ Increasing performance of small businesses that impact on overall development is a considerable challenge. Consequently, the study highly recommends integration of strategic intervention that is anchored on organizational learning constructs for satisfactory outcome in the SMEs. In achieving this, less emphasis on cultural values may be useful. Recommendation for Researchers............................................................................................................................................................... It is suggested that this type of study needs to be conducted in public-owned establishments and business corporations with large business structure. This may help to further establish the theoretical relevance of strategic interventions to SMEs performance across various dimensions of business forms and organizations. Impact on Society.......................................................................................................................................................................................... The findings provide adequate pathway to societal development through SMEs. For the expected growth of society to emerge through investments in SMEs, stakeholders in the society should take advantage of information embedded in strategic interventions in their performance drive. Future Research.............................................................................................................................................................................................. The study outcomes are much relevant to developing economies in need of small and medium business interventions to tackle growth, unemployment and societal development. Future research, especially in developing and emerging economies may explore the relevance of the approach to boosting small business in their area. The specific contribution of cultural values in that context may be tested.

Purpose The purpose of this paper is to compare the performance levels of small scale local government contractors (SSLGCs) in northern part of Nigeria with international practice. Previous studies focused attention primarily on benchmarking the performance of contractors, but were mostly conceptual rather than from empirical findings. This continuous to pose a challenge to the sustainable development of the construction industry, particularly, in developing countries like Nigeria. There is therefore a need to identify, assess and compare performance practice levels of small scale contractors. Design/methodology/approach The performance of each contractor was evaluated using a five-point Likert scale used in obtaining mean performance levels in respect to three classes of performance practices. A questionnaire survey was administered to major parties in the industry; clients, contractors and consultants who were selected by using a proportionate stratified random sampling technique. The contractors’ performance was compared by using ANOVA with post hoc. Findings The results indicated that the SSLGCs in Nigeria were average performers and there were effects and differences among the various contractors’ levels of performance with international practice. Research limitations/implications The study is limited to SSLGCs in northern part of Nigeria. Practical implications The study provided the criteria for evaluation of SSLGCs’ performance in Nigeria and other developing countries that faced similar problems. Social implications The study created bases for self-evaluation and competition among small scale contractors in Nigeria for the enhancement of productivity particularly in rural areas and general national development. Originality/value This study emanated from the governmental reports and past researches in the area of performance management on the persistence of the poor performance of small scale contractors in construction industry.

Purpose The purpose of this study is to assess the effects of financial management practices of small-scale building contractors on the technical performance of the contractors in the northern part of Nigeria with international best practices. Previous studies argued that the technical performance of small-scale building contractors in developing countries is poor because of insufficient cash to acquire strategic resources at the outset of a project. This continues to pose a challenge to the sustainable development of the construction industry, particularly in developing countries like Nigeria. There is, therefore, a need to identify, assess and compare the effects of financial practices of the contractors with technical performance best practices. Design/methodology/approach The technical performance of each contractor was evaluated using a five-point Likert scale. This is used to obtain the mean technical performance levels of the contractors. A questionnaire survey was administered to the professionals in the industry who were selected by using a proportionate stratified random sampling technique. The contractors’ performance was compared using ANOVA with post hoc, and the effects of contractors’ financial management practices were determined using multiple regression analysis. Findings The results of this study indicated that the contractors in Nigeria were average technical performers and there were large effects of financial management practices on the technical performance of contractors in building projects. Research limitations/implications This study is limited to small-scale building contractors in northeast Nigeria. One of the implications of this study is that it provides the criteria for an evaluation of small-scale building contractors’ technical performance in Nigeria and other developing countries that faced similar problems. Practical implications The practical implications of this study are that it establishes the current level of contractors' technical performance and serves as an awareness of contractors' current financial practices. Social implications This study created bases for self-evaluation of contractors’ technical performance and competition among small-scale contractors in Nigeria for the enhancement of productivity particularly in rural areas for national development. Originality/value This study emanated from the government reports and past studies in the area of performance management based on the persistence of poor technical performance of small-scale contractors in the construction industry.

The term «precision forestry» was first introduced and discussed at a conference in 2001. The aims of this paper are to explore the scientific roots of the precision concept, define «precision forestry», and sketch the challenges that the implementation of this new concept may present to practitioners, educators, and researchers. The term «precision» does not mean accuracy on a small scale, but instead refers to the concurrent coordination and control of processes at spatial scales between 1 m and 100 km. Precision strives for an automatic control of processes. Precision land use differs from precision engineering by the requirements of gathering,storing and managing spatio-temporal variability of site and vegetation parameters. Practitioners will be facing the challenge of designing holistic, standardized business processes that are valid for whole networks of firms,and that follow available standards (e.g., SCOR, WoodX). There is a need to educate and train forestry professionals in the areas of business process re-engineering, computer supported management of business transactions,methods of remote sensing, sensor technology and control theory. Researchers will face the challenge of integrating plant physiology, soil physics and production sciences and solving the supply chain coordination problem (SCCP).

Despite the active participation of informal waste collectors (IWCs) in waste management in Ibadan, south-west Nigeria, a major observed challenge to effective operation of this group of workers is the variation in the seasons of the year and their accompanying weather futures. This study investigated the effects of seasonal changes on the types and volume of waste handled by the informal waste collectors, level of patronage and income earned in the five municipal local government areas of Ibadan. A cross-sectional survey approach was adopted and both primary and secondary data were sourced. Through questionnaire survey and field observations, data were collected from 253 informal waste collectors operating in the study area. Descriptive statistics (frequencies and percentages) and inferential statistics (ANOVA) were used in analysing the data obtained from the field work. The study established that the types and volume of waste collected and income earned by the informal waste collectors varied from season to season. Patronage of the informal waste collectors was found to be reduced by about 25% in the dry season owing to less volume of waste generated and increased burning. The low patronage reduced the income by about 25% on average. The implications of this are that the job security of IWCs is threatened and increased burning of waste increases the atmospheric carbon content, which depletes the ozone layer and consequently results in global warming. The study, therefore, recommended financial and technical assistance to the waste collectors by either government or non-governmental organisations to establish small waste merchandising business to cater for the period of low patronage.

Rapid urbanization rates impact significantly on the nature of Land Cover patterns of the environment, which has been evident in the depletion of vegetal reserves and in general modifying the human climatic systems (Henderson, et al., 2017; Kumar, Masago, Mishra, & Fukushi, 2018; Luo and Lau, 2017). This study explores remote sensing classification technique and other auxiliary data to determine LULCC for a period of 50 years (1967-2016). The LULCC types identified were quantitatively evaluated using the change detection approach from results of maximum likelihood classification algorithm in GIS. Accuracy assessment results were evaluated and found to be between 56 to 98 percent of the LULC classification. The change detection analysis revealed change in the LULC types in Minna from 1976 to 2016. Built-up area increases from 74.82ha in 1976 to 116.58ha in 2016. Farmlands increased from 2.23 ha to 46.45ha and bared surface increases from 120.00ha to 161.31ha between 1976 to 2016 resulting to decline in vegetation, water body, and wetlands. The Decade of rapid urbanization was found to coincide with the period of increased Public Private Partnership Agreement (PPPA). Increase in farmlands was due to the adoption of urban agriculture which has influence on food security and the environmental sustainability. The observed increase in built up areas, farmlands and bare surfaces has substantially led to reduction in vegetation and water bodies. The oscillatory nature of water bodies LULCC which was not particularly consistent with the rates of urbanization also suggests that beyond the urbanization process, other factors may influence the LULCC of water bodies in urban settlements. Keywords: Minna, Niger State, Remote Sensing, Land Surface Characteristics References Akinrinmade, A., Ibrahim, K., & Abdurrahman, A. (2012). Geological Investigation of Tagwai Dams using Remote Sensing Technique, Minna Niger State, Nigeria. Journal of Environment, 1(01), pp. 26-32. Amadi, A., & Olasehinde, P. (2010). Application of remote sensing techniques in hydrogeological mapping of parts of Bosso Area, Minna, North-Central Nigeria. International Journal of Physical Sciences, 5(9), pp. 1465-1474. Aplin, P., & Smith, G. (2008). Advances in object-based image classification. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B7), pp. 725-728. Ayele, G. T., Tebeje, A. K., Demissie, S. S., Belete, M. A., Jemberrie, M. A., Teshome, W. M., . . . Teshale, E. Z. (2018). Time Series Land Cover Mapping and Change Detection Analysis Using Geographic Information System and Remote Sensing, Northern Ethiopia. Air, Soil and Water Research, 11, p 1178622117751603. Azevedo, J. A., Chapman, L., & Muller, C. L. (2016). Quantifying the daytime and night-time urban heat island in Birmingham, UK: a comparison of satellite derived land surface temperature and high resolution air temperature observations. Remote Sensing, 8(2), p 153. Blaschke, T., Hay, G. J., Kelly, M., Lang, S., Hofmann, P., Addink, E., . . . van Coillie, F. (2014). Geographic object-based image analysis–towards a new paradigm. ISPRS Journal of Photogrammetry and Remote Sensing, 87, pp. 180-191. Bukata, R. P., Jerome, J. H., Kondratyev, A. S., & Pozdnyakov, D. V. (2018). Optical properties and remote sensing of inland and coastal waters: CRC press. Camps-Valls, G., Tuia, D., Bruzzone, L., & Benediktsson, J. A. (2014). Advances in hyperspectral image classification: Earth monitoring with statistical learning methods. IEEE signal processing magazine, 31(1), pp. 45-54. Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., . . . Lu, M. (2015). Global land cover mapping at 30 m resolution: A POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing, 103, pp. 7-27. Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile networks and applications, 19(2), pp. 171-209. Cheng, G., Han, J., Guo, L., Liu, Z., Bu, S., & Ren, J. (2015). Effective and efficient midlevel visual elements-oriented land-use classification using VHR remote sensing images. IEEE transactions on geoscience and remote sensing, 53(8), pp. 4238-4249. Cheng, G., Han, J., Zhou, P., & Guo, L. (2014). Multi-class geospatial object detection and geographic image classification based on collection of part detectors. ISPRS Journal of Photogrammetry and Remote Sensing, 98, pp. 119-132. Coale, A. J., & Hoover, E. M. (2015). Population growth and economic development: Princeton University Press. Congalton, R. G., & Green, K. (2008). Assessing the accuracy of remotely sensed data: principles and practices: CRC press. Corner, R. J., Dewan, A. M., & Chakma, S. (2014). Monitoring and prediction of land-use and land-cover (LULC) change Dhaka megacity (pp. 75-97): Springer. Coutts, A. M., Harris, R. J., Phan, T., Livesley, S. J., Williams, N. S., & Tapper, N. J. (2016). Thermal infrared remote sensing of urban heat: Hotspots, vegetation, and an assessment of techniques for use in urban planning. Remote Sensing of Environment, 186, pp. 637-651. Debnath, A., Debnath, J., Ahmed, I., & Pan, N. D. (2017). Change detection in Land use/cover of a hilly area by Remote Sensing and GIS technique: A study on Tropical forest hill range, Baramura, Tripura, Northeast India. International journal of geomatics and geosciences, 7(3), pp. 293-309. Desheng, L., & Xia, F. (2010). Assessing object-based classification: advantages and limitations. Remote Sensing Letters, 1(4), pp. 187-194. Dewan, A. M., & Yamaguchi, Y. (2009). Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization. Applied Geography, 29(3), pp. 390-401. Dronova, I., Gong, P., Wang, L., & Zhong, L. (2015). Mapping dynamic cover types in a large seasonally flooded wetland using extended principal component analysis and object-based classification. Remote Sensing of Environment, 158, pp. 193-206. Duro, D. C., Franklin, S. E., & Dubé, M. G. (2012). A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery. Remote Sensing of Environment, 118, pp. 259-272. Elmhagen, B., Destouni, G., Angerbjörn, A., Borgström, S., Boyd, E., Cousins, S., . . . Hambäck, P. (2015). Interacting effects of change in climate, human population, land use, and water use on biodiversity and ecosystem services. Ecology and Society, 20(1) Farhani, S., & Ozturk, I. (2015). Causal relationship between CO 2 emissions, real GDP, energy consumption, financial development, trade openness, and urbanization in Tunisia. Environmental Science and Pollution Research, 22(20), pp. 15663-15676. Feng, L., Chen, B., Hayat, T., Alsaedi, A., & Ahmad, B. (2017). The driving force of water footprint under the rapid urbanization process: a structural decomposition analysis for Zhangye city in China. Journal of Cleaner Production, 163, pp. S322-S328. Fensham, R., & Fairfax, R. (2002). Aerial photography for assessing vegetation change: a review of applications and the relevance of findings for Australian vegetation history. Australian Journal of Botany, 50(4), pp. 415-429. Ferreira, N., Lage, M., Doraiswamy, H., Vo, H., Wilson, L., Werner, H., . . . Silva, C. (2015). Urbane: A 3d framework to support data driven decision making in urban development. Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on. Garschagen, M., & Romero-Lankao, P. (2015). Exploring the relationships between urbanization trends and climate change vulnerability. Climatic Change, 133(1), pp. 37-52. Gokturk, S. B., Sumengen, B., Vu, D., Dalal, N., Yang, D., Lin, X., . . . Torresani, L. (2015). System and method for search portions of objects in images and features thereof: Google Patents. Government, N. S. (2007). Niger state (The Power State). Retrieved from http://nigerstate.blogspot.com.ng/ Green, K., Kempka, D., & Lackey, L. (1994). Using remote sensing to detect and monitor land-cover and land-use change. Photogrammetric engineering and remote sensing, 60(3), pp. 331-337. Gu, W., Lv, Z., & Hao, M. (2017). Change detection method for remote sensing images based on an improved Markov random field. Multimedia Tools and Applications, 76(17), pp. 17719-17734. Guo, Y., & Shen, Y. (2015). Quantifying water and energy budgets and the impacts of climatic and human factors in the Haihe River Basin, China: 2. Trends and implications to water resources. Journal of Hydrology, 527, pp. 251-261. Hadi, F., Thapa, R. B., Helmi, M., Hazarika, M. K., Madawalagama, S., Deshapriya, L. N., & Center, G. (2016). Urban growth and land use/land cover modeling in Semarang, Central Java, Indonesia: Colombo-Srilanka, ACRS2016. Hagolle, O., Huc, M., Villa Pascual, D., & Dedieu, G. (2015). A multi-temporal and multi-spectral method to estimate aerosol optical thickness over land, for the atmospheric correction of FormoSat-2, LandSat, VENμS and Sentinel-2 images. Remote Sensing, 7(3), pp. 2668-2691. Hegazy, I. R., & Kaloop, M. R. (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), pp. 117-124. Henderson, J. V., Storeygard, A., & Deichmann, U. (2017). Has climate change driven urbanization in Africa? Journal of development economics, 124, pp. 60-82. Hu, L., & Brunsell, N. A. (2015). A new perspective to assess the urban heat island through remotely sensed atmospheric profiles. Remote Sensing of Environment, 158, pp. 393-406. Hughes, S. J., Cabral, J. A., Bastos, R., Cortes, R., Vicente, J., Eitelberg, D., . . . Santos, M. (2016). A stochastic dynamic model to assess land use change scenarios on the ecological status of fluvial water bodies under the Water Framework Directive. Science of the Total Environment, 565, pp. 427-439. Hussain, M., Chen, D., Cheng, A., Wei, H., & Stanley, D. (2013). Change detection from remotely sensed images: From pixel-based to object-based approaches. ISPRS Journal of Photogrammetry and Remote Sensing, 80, pp. 91-106. Hyyppä, J., Hyyppä, H., Inkinen, M., Engdahl, M., Linko, S., & Zhu, Y.-H. (2000). Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes. Forest Ecology and Management, 128(1-2), pp. 109-120. Jiang, L., Wu, F., Liu, Y., & Deng, X. (2014). Modeling the impacts of urbanization and industrial transformation on water resources in China: an integrated hydro-economic CGE analysis. Sustainability, 6(11), pp. 7586-7600. Jin, S., Yang, L., Zhu, Z., & Homer, C. (2017). A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011. Remote Sensing of Environment, 195, pp. 44-55. Joshi, N., Baumann, M., Ehammer, A., Fensholt, R., Grogan, K., Hostert, P., . . . Mitchard, E. T. (2016). A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring. Remote Sensing, 8(1), p 70. Kaliraj, S., Chandrasekar, N., & Magesh, N. (2015). Evaluation of multiple environmental factors for site-specific groundwater recharge structures in the Vaigai River upper basin, Tamil Nadu, India, using GIS-based weighted overlay analysis. Environmental earth sciences, 74(5), pp. 4355-4380. Koop, S. H., & van Leeuwen, C. J. (2015). Assessment of the sustainability of water resources management: A critical review of the City Blueprint approach. Water Resources Management, 29(15), pp. 5649-5670. Kumar, P., Masago, Y., Mishra, B. K., & Fukushi, K. (2018). Evaluating future stress due to combined effect of climate change and rapid urbanization for Pasig-Marikina River, Manila. Groundwater for Sustainable Development, 6, pp. 227-234. Lang, S. (2008). Object-based image analysis for remote sensing applications: modeling reality–dealing with complexity Object-based image analysis (pp. 3-27): Springer. Li, M., Zang, S., Zhang, B., Li, S., & Wu, C. (2014). A review of remote sensing image classification techniques: The role of spatio-contextual information. European Journal of Remote Sensing, 47(1), pp. 389-411. Liddle, B. (2014). Impact of population, age structure, and urbanization on carbon emissions/energy consumption: evidence from macro-level, cross-country analyses. Population and Environment, 35(3), pp. 286-304. Lillesand, T., Kiefer, R. W., & Chipman, J. (2014). Remote sensing and image interpretation: John Wiley & Sons. Liu, Y., Wang, Y., Peng, J., Du, Y., Liu, X., Li, S., & Zhang, D. (2015). Correlations between urbanization and vegetation degradation across the world’s metropolises using DMSP/OLS nighttime light data. Remote Sensing, 7(2), pp. 2067-2088. López, E., Bocco, G., Mendoza, M., & Duhau, E. (2001). Predicting land-cover and land-use change in the urban fringe: a case in Morelia city, Mexico. Landscape and urban planning, 55(4), pp. 271-285. Luo, M., & Lau, N.-C. (2017). Heat waves in southern China: Synoptic behavior, long-term change, and urbanization effects. Journal of Climate, 30(2), pp. 703-720. Mahboob, M. A., Atif, I., & Iqbal, J. (2015). Remote sensing and GIS applications for assessment of urban sprawl in Karachi, Pakistan. Science, Technology and Development, 34(3), pp. 179-188. Mallinis, G., Koutsias, N., Tsakiri-Strati, M., & Karteris, M. (2008). Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site. ISPRS Journal of Photogrammetry and Remote Sensing, 63(2), pp. 237-250. Mas, J.-F., Velázquez, A., Díaz-Gallegos, J. R., Mayorga-Saucedo, R., Alcántara, C., Bocco, G., . . . Pérez-Vega, A. (2004). Assessing land use/cover changes: a nationwide multidate spatial database for Mexico. International Journal of Applied Earth Observation and Geoinformation, 5(4), pp. 249-261. Mathew, A., Chaudhary, R., Gupta, N., Khandelwal, S., & Kaul, N. (2015). Study of Urban Heat Island Effect on Ahmedabad City and Its Relationship with Urbanization and Vegetation Parameters. International Journal of Computer & Mathematical Science, 4, pp. 2347-2357. Megahed, Y., Cabral, P., Silva, J., & Caetano, M. (2015). Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region—Egypt. ISPRS International Journal of Geo-Information, 4(3), pp. 1750-1769. Metternicht, G. (2001). Assessing temporal and spatial changes of salinity using fuzzy logic, remote sensing and GIS. Foundations of an expert system. Ecological modelling, 144(2-3), pp. 163-179. Miller, R. B., & Small, C. (2003). Cities from space: potential applications of remote sensing in urban environmental research and policy. Environmental Science & Policy, 6(2), pp. 129-137. Mirzaei, P. A. (2015). Recent challenges in modeling of urban heat island. Sustainable Cities and Society, 19, pp. 200-206. Mohammed, I., Aboh, H., & Emenike, E. (2007). A regional geoelectric investigation for groundwater exploration in Minna area, north west Nigeria. Science World Journal, 2(4) Morenikeji, G., Umaru, E., Liman, S., & Ajagbe, M. (2015). Application of Remote Sensing and Geographic Information System in Monitoring the Dynamics of Landuse in Minna, Nigeria. International Journal of Academic Research in Business and Social Sciences, 5(6), pp. 320-337. Mukherjee, A. B., Krishna, A. P., & Patel, N. (2018). Application of Remote Sensing Technology, GIS and AHP-TOPSIS Model to Quantify Urban Landscape Vulnerability to Land Use Transformation Information and Communication Technology for Sustainable Development (pp. 31-40): Springer. Myint, S. W., Gober, P., Brazel, A., Grossman-Clarke, S., & Weng, Q. (2011). Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery. Remote Sensing of Environment, 115(5), pp. 1145-1161. Nemmour, H., & Chibani, Y. (2006). Multiple support vector machines for land cover change detection: An application for mapping urban extensions. ISPRS Journal of Photogrammetry and Remote Sensing, 61(2), pp. 125-133. Niu, X., & Ban, Y. (2013). Multi-temporal RADARSAT-2 polarimetric SAR data for urban land-cover classification using an object-based support vector machine and a rule-based approach. International journal of remote sensing, 34(1), pp. 1-26. Nogueira, K., Penatti, O. A., & dos Santos, J. A. (2017). Towards better exploiting convolutional neural networks for remote sensing scene classification. Pattern Recognition, 61, pp. 539-556. Oguz, H., & Zengin, M. (2011). Analyzing land use/land cover change using remote sensing data and landscape structure metrics: a case study of Erzurum, Turkey. Fresenius Environmental Bulletin, 20(12), pp. 3258-3269. Pohl, C., & Van Genderen, J. L. (1998). Review article multisensor image fusion in remote sensing: concepts, methods and applications. International journal of remote sensing, 19(5), pp. 823-854. Price, O., & Bradstock, R. (2014). Countervailing effects of urbanization and vegetation extent on fire frequency on the Wildland Urban Interface: Disentangling fuel and ignition effects. Landscape and urban planning, 130, pp. 81-88. Prosdocimi, I., Kjeldsen, T., & Miller, J. (2015). Detection and attribution of urbanization effect on flood extremes using nonstationary flood‐frequency models. Water resources research, 51(6), pp. 4244-4262. Rawat, J., & Kumar, M. (2015). Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Science, 18(1), pp. 77-84. Rokni, K., Ahmad, A., Solaimani, K., & Hazini, S. (2015). A new approach for surface water change detection: Integration of pixel level image fusion and image classification techniques. International Journal of Applied Earth Observation and Geoinformation, 34, pp. 226-234. Sakieh, Y., Amiri, B. J., Danekar, A., Feghhi, J., & Dezhkam, S. (2015). Simulating urban expansion and scenario prediction using a cellular automata urban growth model, SLEUTH, through a case study of Karaj City, Iran. Journal of Housing and the Built Environment, 30(4), pp. 591-611. Santra, A. (2016). Land Surface Temperature Estimation and Urban Heat Island Detection: A Remote Sensing Perspective. Remote Sensing Techniques and GIS Applications in Earth and Environmental Studies, p 16. Shrivastava, L., & Nag, S. (2017). MONITORING OF LAND USE/LAND COVER CHANGE USING GIS AND REMOTE SENSING TECHNIQUES: A CASE STUDY OF SAGAR RIVER WATERSHED, TRIBUTARY OF WAINGANGA RIVER OF MADHYA PRADESH, INDIA. Shuaibu, M., & Sulaiman, I. (2012). Application of remote sensing and GIS in land cover change detection in Mubi, Adamawa State, Nigeria. J Technol Educ Res, 5, pp. 43-55. Song, B., Li, J., Dalla Mura, M., Li, P., Plaza, A., Bioucas-Dias, J. M., . . . Chanussot, J. (2014). Remotely sensed image classification using sparse representations of morphological attribute profiles. IEEE transactions on geoscience and remote sensing, 52(8), pp. 5122-5136. Song, X.-P., Sexton, J. O., Huang, C., Channan, S., & Townshend, J. R. (2016). Characterizing the magnitude, timing and duration of urban growth from time series of Landsat-based estimates of impervious cover. Remote Sensing of Environment, 175, pp. 1-13. Tayyebi, A., Shafizadeh-Moghadam, H., & Tayyebi, A. H. (2018). Analyzing long-term spatio-temporal patterns of land surface temperature in response to rapid urbanization in the mega-city of Tehran. Land Use Policy, 71, pp. 459-469. Teodoro, A. C., Gutierres, F., Gomes, P., & Rocha, J. (2018). Remote Sensing Data and Image Classification Algorithms in the Identification of Beach Patterns Beach Management Tools-Concepts, Methodologies and Case Studies (pp. 579-587): Springer. Toth, C., & Jóźków, G. (2016). Remote sensing platforms and sensors: A survey. ISPRS Journal of Photogrammetry and Remote Sensing, 115, pp. 22-36. Tuholske, C., Tane, Z., López-Carr, D., Roberts, D., & Cassels, S. (2017). Thirty years of land use/cover change in the Caribbean: Assessing the relationship between urbanization and mangrove loss in Roatán, Honduras. Applied Geography, 88, pp. 84-93. Tuia, D., Flamary, R., & Courty, N. (2015). Multiclass feature learning for hyperspectral image classification: Sparse and hierarchical solutions. ISPRS Journal of Photogrammetry and Remote Sensing, 105, pp. 272-285. Tzotsos, A., & Argialas, D. (2008). Support vector machine classification for object-based image analysis Object-Based Image Analysis (pp. 663-677): Springer. Wang, L., Sousa, W., & Gong, P. (2004). Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery. International journal of remote sensing, 25(24), pp. 5655-5668. Wang, Q., Zeng, Y.-e., & Wu, B.-w. (2016). Exploring the relationship between urbanization, energy consumption, and CO2 emissions in different provinces of China. Renewable and Sustainable Energy Reviews, 54, pp. 1563-1579. Wang, S., Ma, H., & Zhao, Y. (2014). Exploring the relationship between urbanization and the eco-environment—A case study of Beijing–Tianjin–Hebei region. Ecological Indicators, 45, pp. 171-183. Weitkamp, C. (2006). Lidar: range-resolved optical remote sensing of the atmosphere: Springer Science & Business. Wellmann, T., Haase, D., Knapp, S., Salbach, C., Selsam, P., & Lausch, A. (2018). Urban land use intensity assessment: The potential of spatio-temporal spectral traits with remote sensing. Ecological Indicators, 85, pp. 190-203. Whiteside, T. G., Boggs, G. S., & Maier, S. W. (2011). Comparing object-based and pixel-based classifications for mapping savannas. International Journal of Applied Earth Observation and Geoinformation, 13(6), pp. 884-893. Willhauck, G., Schneider, T., De Kok, R., & Ammer, U. (2000). Comparison of object oriented classification techniques and standard image analysis for the use of change detection between SPOT multispectral satellite images and aerial photos. Proceedings of XIX ISPRS congress. Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z., . . . Young, S. A. (2009). Overview of the CALIPSO mission and CALIOP data processing algorithms. Journal of Atmospheric and Oceanic Technology, 26(11), pp. 2310-2323. Yengoh, G. T., Dent, D., Olsson, L., Tengberg, A. E., & Tucker III, C. J. (2015). Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales: Current Status, Future Trends, and Practical Considerations: Springer. Yu, Q., Gong, P., Clinton, N., Biging, G., Kelly, M., & Schirokauer, D. (2006). Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery. Photogrammetric Engineering & Remote Sensing, 72(7), pp. 799-811. Zhou, D., Zhao, S., Zhang, L., & Liu, S. (2016). Remotely sensed assessment of urbanization effects on vegetation phenology in China's 32 major cities. Remote Sensing of Environment, 176, pp. 272-281. Zhu, Z., Fu, Y., Woodcock, C. E., Olofsson, P., Vogelmann, J. E., Holden, C., . . . Yu, Y. (2016). Including land cover change in analysis of greenness trends using all available Landsat 5, 7, and 8 images: A case study from Guangzhou, China (2000–2014). Remote Sensing of Environment, 185, pp. 243-257.

Every business or start-up was e-ray by the government official ranging from local, state and federal level in Nigeria. Therefore, for SMEs to operate it’s a perquisite to follow the due process from registration by ministry of commerce and industry at state level and the various agencies responsible for registration. This challenge represents both widespread personal misfortune for individuals and a lost opportunity for critical national and global economic development. This study examines the challenges that affect the growth and development of small and medium enterprises in Bauchi state, Nigeria .The study was guided by an epistemological research philosophy adopting a positivist research paradigm. The research design was cross-sectional survey design using both quantitative and qualitative approaches. The target population for this study was 754 registered small and medium scale owned enterprises registered with the Bauchi state government by December 2019 and the sample size was 172 respondents derived using Fisher’s formulae. This study used a self-administered, closed, and open-ended questionnaire to obtain quantitative data. The study used descriptive statistics such as mean, standard deviation, median and proportions using the Statistical Package for Social Sciences (SPSS) version 24 and Microsoft Excel. Regression analysis and correlation analysis were used to determine the direction and strength of the relationship between the independent and the dependent variables.. The questionnaires were administered among the seventy (70) management staff members of the one hundred and seventy two (172) selected SMEs in Bauchi state Nigeria through purposive sampling method, and this was done personally by the researcher. Descriptive and inferential statistics was use to analyze and interpret the data use in this research. The study reveals that government policies is a major challenges that help SMEs to grow and achieve its stated objectives in global competitive environment. On same vain this study is so keen and motivated to established evidence on these challenges ascertain especially, in a context of current phenomena SMEs face in Bauchi state. Finally, the study will utilize the element of contingency theory, as these SMEs require sound institutional framework to mitigate these challenges. However, anecdotal evidence shows that SMEs in developing countries like Nigeria are faced with a lot of challenges that have hampered their growth in recent times. Among these challenges are: intermittent power supply, indiscriminate tax levies government policy, low accessibility to loans from financial institutions and inability to keep proper financial records. The study reveals that Government policies have a significant impact on the growth and development of SMEs in Bauchi State, Nigeria. Subsequently, the study recommends that management of SMEs should adopt good strategy in order to overcome these challenges.

An advantage in stabile economic balance in different countries is undoubtedly the form of fiscal system. Transformation towards modernization of the tax administration can undoubtedly bring favor the development of the economy with special emphasis on small business and middle. Fundamental changes that must occur in the tax structure redistribution of the tax burden and broaden the tax base. However leaders in this area requires special attention because this hypothesis is quite challenging because of the possible consequences. The main directions should have the right tax policy orientation; change in structure between direct and indirect taxes and tax structure right from the central or local level decentralization of tax power. Efficient functioning of the tax administration services and providing suitable conditions for fulfillment by taxpayers is the challenge of the tax system in Kosovo. One of the prerequisites of the efficiency of the tax system, in addition to organizational activities is the provision of modern information system, on which the tax administration of Kosovo should be on the cutting edge. This will simultaneously be the topic of discussion in my next paper for the Conference

Despite the fact that small and medium enterprises have been viewed as a major promoter of technological development and employment generation in Nigeria, the sector has been neglected by successive governments (Gideon, 2015). This has resulted in unpalatable consequences on the economy (Gideon, 2015). The major challenge of the sector is poor funding (Afolabi & Ehinomen, 2015). Consequently, policies and efforts should be geared towards accelerating the growth and development of the sector (Afolabi & Ehinomen, 2015). According to Onwumere, (2000) a lack of funding has been a specific obstacle to investment and growth in the sector. The need to contribute to the current debate, update knowledge on the subject matter and make informed recommendations when implemented will lead to a change in fortune for the small and medium enterprise sector in the Nigerian economy which has informed this study. The chapter sets out to explore the qualitative relationship between small and medium enterprises and banks. Despite the fact that small and medium enterprises have been viewed as a major promoter of technological development and employment generation in Nigeria, the sector has been neglected by successive governments. This has resulted in unpalatable consequences on the economy. The major challenge of the sector is poor funding. Consequently, policies and efforts should be geared towards accelerating the growth and development of the sector. A lack of funding has been a specific obstacle to investment and growth in the sector. The need to contribute to the current debate, update knowledge on the subject matter and make informed recommendations when implemented will lead to a change in fortune for the small and medium enterprise sector in the Nigerian economy which has informed this study. The chapter sets out to explore the qualitative relationship between small and medium enterprises and banks.

Small business as a form of business activity is phenomenon of present-day market economy. This is an independent sector of economy that makes goods, services, provides revenue receipts to budgets of all levels. The problem of business development is a pressing challenge for Ukraine as for all countries with market economy. In conditions of implementing Tax Code of Ukraine the topicality of small business development increases, because for stable pumping up of national and local budgets creation of conceptually new system of tax administration (taxes paid by small business) is needed that would provide gradual transition from fiscal pressure to simplified administration procedures using modern methods of information analysis. The article reviews dynamics of budget receipts. Factors reducing fiscal on small business are studied and measures for improvement of tax service for small economic entities - good faith taxpayers are proposed.

ABSTRACT The boom in the development of unconventional petroleum resources, particularly shale gas in the United States of America during the last decade has had far reaching implications for energy markets across the world and particularly for Nigeria, a country that traditionally has been Africa’s leading crude oil producer and exporter. The Cretaceous Anambra Basin is currently the only inland basin in Nigeria where the existence of commercial quantities of oil and gas has been proven (outside the Tertiary Niger Delta Basin). The possibility of similarly finding commercially viable resources of unconventional petroleum resources in the basin appears quite attractive on the basis of the existence of seepages of shale oil and presence of coal-bed methane in some of the coal seams of the Mamu Formation (Lower Coal Measures) in the basin. This paper presents the results of our preliminary assessment of the shale oil and gas resources of the Anambra Basin. Our main objective is to locate the zones of very high quality plays within the basin, focusing on their depositional environments (whether marine or non-marine), areal extent of the target shale formations, gross shale intervals, total organic content, and thermal maturity. Data on the total organic content (TOC %, by weight) and thermal maturity of shales from different wells in the basin show that many of the shales have high TOCs (i.e greater than 2%) comparable to known shale gas and shale oil plays globally. Shale oil seepages are known to occur around Lokpanta in south-eastern Nigeria, but there is a general predominance of gas-prone facies in our inland basins indicating good prospects for finding unconventional petroleum in this and other Nigerian inland sedimentary basins. The main challenge to the exploration of unconventional resources in Nigeria today has to do with the absence of the enabling laws and regulatory framework governing their exploration and subsequent exploitation. The revised Petroleum Industry Bill (PIB) currently under consideration in the National Assembly is expected to introduce drastic and lasting changes in the way the petroleum industry business is conducted in the country, but all the provisions of the draft law pertain mainly to conventional oil and gas resources.

A continuing challenge for university lecturers is to develop successful programs that challenge students whilst at the same time responding to a ‘customer’ driven market place. In 2000, two new courses were introduced into a business degree program as a result of feedback from past and present students and the business community. These courses aimed to explore the wider issues of end-users developing small-scale applications to support their role at work whilst possessing a limited skill set in applications development. In each year (2000 and 2001) a different approach was adopted. This paper reflects upon the teaching of these two courses over the two-year period, the responses of students to the different approaches and the extent to which the learning outcomes were achieved.

There is a large imbalance between demand and supply of energy in Nigeria, with inefficient power supply being the country’s greatest economic bane. Aside energy crisis, fuel is a luxurious commodity and petroleum diesel is the predominant fuel for power generation, particularly in the industrial sector. As a result, the country suffers from forced power outages, and persistent black out while residents and industries are forced to depend on self-generated electricity. These have notably reduced industrialization and increased environmental pollution across the country. This paper proposes the use of Jatropha biodiesel as a substitute fuel to petroleum diesel. It examines the energy efficiency and environmental life cycle impact of the production and use of 1MJ of Jatropha biodiesel in a typical 126 MW (ISO rating) industrial gas turbine power plant with multi-fuel capability using life cycle assessment methodologies and principles. A net energy ratio of 2.37, 1.54, and 1.32 and fossil fuel savings of 58%, 36% and 27% were achievable under three farming system scenarios: a) base-case rain-fed, b) base-case irrigated and c) large scale farming system. Also, an environmental benefit with GHG savings of 19% was attainable under the three farming scenarios. The results demonstrate that the contribution of GHGs and effect on climate change is most significant with the end use of the fuel. It also highlights the importance of clear definition of the reference system which should be indicative of the local production system and comparative to the system under study. A favourable business and economic climate driven by demand is proposed for Independent Power Producer (IPP) to generate power for off-grid users instead of generating power for the national grid using a decentralized Jatropha biodiesel production system coupled to waste to energy technologies. This could significantly improve the energy situation; diversify the energy generation mix and fuel supply in Nigeria, especially for small-scale businesses and the rural population.

Early Intervention and Local Content Optimization Esso Exploration and Production Guyana Limited ("ExxonMobil"), an affiliate of Exxon Mobil Corporation, and its co-venturers Hess Guyana Exploration Limited and CNOOC Petroleum Guyana Limited, discovered oil in the Stabroek block offshore Guyana during the first half of 2015. The success of safely drilling their first well (Liza-1), followed a history of 40 dry holes in the Guiana Basin prior to ExxonMobil beginning ultra-deepwater oil and gas exploration in 2008 (Varga et al. 2021). Guyana, with a small population of 750,000, was primarily economically focused on agriculture, manufacturing, and the mining of bauxite and gold. ExxonMobil identified the need for an early, focused, coordinated, and long-lasting approach to local content planning to provide tangible results for Guyana. Developing local businesses to actively participate in the industry and enter the supply chain while raising awareness of how the oil and gas industry operates was paramount, as was managing expectations of the Guyanese government and populace about local content. ExxonMobil recognized that the established mining sector in Guyana had the potential to provide a base of local suppliers able to transition into the emerging oil and gas sector. It subsequently undertook a number of assessments and studies on the local economy to further understand the local context. The finding of these assessments highlighted that most Guyanese companies were operating in the small local economy or working within the Caribbean region, limiting their exposure to international standards and providing little impetus to become globally competitive. Despite having technical competencies that could be utilized in the oil and gas industry, shortfalls were apparent in the areas of auditable systems, business processes, quality assurance, and safety. Closing the gaps would take time and investment, and a shift in culture in some parts. An internal assessment of ExxonMobil's supplier development programs was conducted, and a Guyana supplier development program was developed by drawing from best practices around the globe. ExxonMobil, with the support of its Stabroek Block co-venturers, took a proactive decision and devised a plan to engage an independent third party to run a "fit for purpose" enterprise development centre (EDC) to support the technical development in country through local content prior to final investment decision (FID). In order to be equipped to provide early roll out of local content development, and 6 months before FID for Liza 1, ExxonMobil released a Request for Proposal (RFP). Bidders were invited to submit proposals on how the EDC would function "fit for purpose" and compliment rather than compete with current Guyanese activities and vendors. The successful bidder, DAI Global LLC (DAI), had a proven track record of international socioeconomic project successes and was selected to form a unique and collaborative, strategic relationship with ExxonMobil. Although DAI had previous experience in nascent markets, the challenge in Guyana was to expand the Guyanese supplier base into a new sector. The global experience of both ExxonMobil and DAI worked in tandem to produce a flexible management structure with the capability to adapt to the ensuing exploration successes and expanding industry needs. Both short and long term programs would be utilized to engage businesses for the changing needs of businesses during varying developmental stages. Additionally, ExxonMobil's foresight to incorporate local content requirements and contractual use of the centre into prime contractor contracts provided support for the long-term viability of the EDC. The EDC established in Guyana was named The Centre for Local Business Development (Centre). The Centre design provides a supportive environment where seeking and acquiring information about the oil and gas sector is a comfortable experience. Inclusive of classrooms, meeting spaces, offices, and networking areas, the Centre sponsors engaging programs and provides mentorship for companies entering the industy. Drawing upon studies and data to drive the content and focus of its programs, the Centre addresses relevant needs in the business community. For example, a DAI baseline study on the international competitiveness of local businesses showed that two-thirds of Guyanese businesses were not internationally competitive and needed support with basic business systems (e.g. financial management, supply chain management and human resources). Other stakeholder focus group studies conducted by ExxonMobil determined that there was a lack of foundational knowledge about the oil and gas sector. Having access to this research pre-FID allowed for a head start on planning and enabled the implementation of a work program just 3 months after the Centre's opening.