International Economics Assignment Example | Topics and Well Written Essays - 1250 words

International Economics - Assignment Example Depreciation increases operation and running costs of an organization, especially if it has a lot of imports or outsourced employees. The real exchange rate between the United States and Europe is given by ÃŽ µ. Consider a scenario in which the nominal exchange rate depreciates by 3%, while the price level in Europe increased by 5% and in the United States, it goes up by 2%. What happens to the real exchange rate? In Munich a bratwurst costs 5 euros, a hot dog costs 4$ at Boston’s Fenway Park. At an exchange rate of 1.05 $ per euro, what is the price of a bratwurst in terms of a hot dog? All else equal, how does this relative price change if the dollar depreciates to 1.25$ per euro? Compared with the initial situation, has a hot dog become more or less expensive relative to a bratwurst? Spain and Germany trade a lot between each other. Germany is running an inflation – low, but inflation – and Spain a deflation. Discuss what is expected to happen with the nominal and the real exchange rates between them. The nominal exchange rates of Germany will decrease while the nominal exchange rates for Spain will increase. This is because an increase in commodity prices will cause an increase in the foreign income that is required to purchase local products. The vice versa is true for Spain where a decrease in the price of commodities will reduce the amount of income earned from foreign countries to buy local products. The real exchange rates of Germany will increase. This is because the real exchange rates appreciate an increase in product prices. On the other hand, the real exchange rates of Spain will decrease. This is because real exchange rates depreciate with an increase in product prices.

Benefits Of Using Gis In Waste Management Environmental Sciences Essay

Benefits Of Using Gis In Waste Management Environmental Sciences Essay Solid waste management involves a number of stages starting from the choice of sites for landfill, collection, transportation and disposal of the solid waste. Both economic and environmental planners are concerned with the setting up of cost effective and environmentally friendly systems for solid waste management. Geographical Information System (GIS) is a tool that can provide spatial and non spatial information for urban planning and management. This paper focuses on the application of GIS as a planning and data collection tool in Solid Waste Management and analyses to what extent GIS is being used in solid waste management by the local authorities in Mauritius and also identifies the barriers to the proper use of GIS in this sector. A GIS model for the Grand Port-Savanne District Council (GPSVDC) a local authority in Mauritius is produced using ArcGIS software and this can be used as a decision support tool in planning waste collection and disposal. The Republic of Mauritius is a small island developing state (SIDS), situated at 800 km off the East coast of Madagascar at longitude 58 ° East and latitude 20 ° South in the Indian Ocean with a total surface area of 1870 km ². In addition to the island of Mauritius, the Republic includes the islands of Cargados Carajos, Rodrigues and the Agalega Islands. The main island of Mauritius has a population of around 1.28 million inhabitants. The rapid industrialization and urbanization during the past decade have led to changing production and consumption patterns that continue to present new demands for natural resources and create new waste streams. It is expected that solid waste produced in Mauritius is about 380,000 tons a year (or 1,200 tons per day) and is expected to reach 418,000 tonnes in 2014. The present strategy of disposing wastes  at the  landfill and/or dumping sites will in the long-run be no longer sustainable or appropriate with the rapid increase in waste gene ration, scarcity of appropriate landfill sites and the density of human settlement. The development of an integrated solid waste management strategy is among the priorities identified in the National Environmental Strategies to reduce future costs from environment degradation. Governments policy is to promote waste reduction, minimize its generation, encourage the adoption of environmentally sound methods of resource recovery and modernize the institutional and legal framework for the entire logistical chain collection, storage, transfer and disposal and introduce a cost recovery mechanism. There has been awareness regarding waste management amongst many countries. There has been development of new technologies for improving the waste management systems. GIS is one of the new technologies which have contributed a lot in very less time span to the waste management society. (Moiz Ahmed Shaikh, 2006) This paper analyses the benefits of using GIS as a tool in solid waste management and makes an assessment of how far GIS is being used by the local authorities in Mauritius and identifies the barriers to the use of GIS in solid waste management in Mauritius. A GIS model for the Grand Port-Savanne District Council (GPSVDC) a local authority in Mauritius is produced using ArcGIS software and this can be used as a decision support tool in planning waste collection and disposal. SOLID WASTE MANAGEMENT IN MAURITIUS Solid Waste Management in Mauritius falls under the responsibility of the Ministry of Local Government and Outer Islands. The main island of Mauritius has five Municipal Councils namely (i) Port Louis, (ii) Beau Bassin/Rose Hill, (iii) Quatre Bornes , (iv) Vacoas/Phoenix and (v) Curepipe. There are also four District Councils namely (i) Pamplemousses/Rivià ¨re du Rempart, (ii) Moka-Flacq, (iii) Grand Port-Savanne and (iv) Black River. Solid waste collection and disposal is undertaken by these local authorities in areas under their jurisdiction and is disposed of at the Mare Chicose landfill via a network of transfer stations situated in St Martin, Roche Bois, Poudre DOr and La Brasserie. Waste collection and disposal is also carried out by private companies on contract basis. The only landfill on the island is at Mare Chicose which is managed by a private contractor. With the increase in waste production the life span of the landfill is going on decreasing and soon there will be a n eed to increase the capacity of the landfill or to find another locality to set up a second landfill. The daily management of waste collection and disposal activities is carried out by officers of the Health Department of the Municipal Councils and the District Councils. 1.3 What is GIS? GIS is a computer system for capturing, storing, checking, integrating, manipulating, analyzing and displaying data related to positions on the Earths surface. Typically, a Geographical Information System is used for handling maps of one kind or another. These might be represented as several different layers where each layer holds data about a particular kind of feature. Each feature is linked to a position on the graphical image on a map and a record in an attribute table. GIS allows us to view, understand, question, interpret, and visualize data in many ways that reveal relationships, patterns, and trends in the form of maps, globes, reports, and charts. A GIS helps you answer questions and solve problems by looking at your data in a way that is quickly understood and easily shared. GIS technology can be integrated into any enterprise information system framework. 1.4 Uses of GIS in Solid Waste Management Solid waste management comprises several phases, starting from the stage where the waste is generated till it reaches its final destination or at a stage where it is no more a threat to the environment. It is observed that solid waste management can be bifurcated into mainly two phases. One is the waste management in the area where it is generated and second is the management of waste at dumping grounds. (Moiz Ahmed Shaikh, 2006). The development of Geographic Information System (GIS) and its use throughout the world has contributed a lot in improving waste management systems. GIS helps to manipulate data in the computer to simulate alternatives and to take the most effective decisions. GIS can add value to waste management applications by providing outputs for decision support and analysis in a wide spectrum of projects such as route planning for waste collection, site selection exercises for transfer stations, landfills or waste collection points. GIS provides a flexible platform w hich integrates and analyses maps and waste management databases. GIS allows us to create and store as many layers of data or maps as we want and provides various possibilities to integrate tremendous amounts of data and map overlays into a single output to aid in decision making (Chang et al. 1997). The changing production and consumption patterns have caused a rise in the volume of solid waste putting considerable pressure on Governments in dealing with the increased waste generation. It implies that local authorities will require huge capital investments and operational strategies for collection, transportation and disposal of solid waste. Delimiting factors such as limited financial resources have made it imperative to replace existing ad hoc methods employed in solid waste management and planning (Vijay et al. 2008). Sarptas et al. (2005) studied the use GIS in solid waste management in coastal areas as a decision support system with a case study on landfill site selection. The results of the study are that GIS is becoming a powerful tool in SWM. However there are still some drawbacks and deficiencies in applying the method extensively. For example, it is not applied in solid waste generation studies because large fluctuations in solid waste generation by time and space and the dynamic nature of urban areas generate several difficulties in determining the current solid waste generation patterns. In the early period of GIS technology, from the 1980s to the early 1990s, GIS software was capable of executing only basic geographical operations. These capabilities of GIS software limited the user to only basic tasks such as exclusion and allowed them to determine only alternative landfill sites in landfill siting applications. Advances in information technology and increasing access to computer system s by decision makers have improved the usefulness of computer models and computer aided technologies in DSS in the last decade. One of the typical examples is the SWM systems. The GIS models do not only support the decision procedure but also facilitate the communication and mutual understanding between decision maker and the people, because the implications of a SWM closely affects the society. However, the basic limitations in the use of GIS in SWM is the data availability. Because, especially in developing countries the available data are very scarce and access to the data is very poor and tiring. In addition, the existing data are not reliable, not collected, stored and disseminated systematically. More comprehensive researches and more efforts on data gathering to fulfill the needs of GIS models are recommended. Since routing models make extensive use of spatial data, GIS can provide effective handling, displaying and manipulation of such geographical and spatial information. For example, Ghose et al. (2006) proposed a model for the system of Municipal Solid Waste (MSW) collection that provides planning for distribution of collection bins, load balancing of vehicles and generation of optimal routing based on GIS. According to Reddy et al. (2007), traditional and static approaches are no longer adequate for analyzing network flows and conducting minimum cost routing. Reddy et al. attempted to develop a decision support system for generating an optimum route for solid waste disposal in Hyderabad City and hence to reduce the distance ran by the collection vehicle using GIS. GIS tool provides an effective decision support through its database management capabilities, graphical user interfaces and cartographic visualization. The system developed by Reddy et al. used the Network Analyst module available in Arcview, which is a path-finding program used to model the movement of resources between two points or more. Chatila (2008) developed a GIS system for natural resources management and recycling of solid waste in the village of Marjeyoun in Southern Lebanon. A GIS map was prepared to serve as a zone management plan along with an environmental assessment that identifies cumulative pressures and impacts of some human activities on the village and the environment. A recycling program was developed based on solid waste sampling and analysis of collection systems. In a study carried out by Bergeron et al. (2010), 3D visualization and GIS were used to produce a digital city model for the Star City, West Virginia to allow government officials and managers to manage assets and perform day-to-day operations, develop sustainable planning initiatives, and management of solid waste assets and facilities, planning for solid waste and recycling facilities and drop-offs, mapping and planning efficient waste hauler routes and identifying issues such a underserved populations and illegal dumping. However, building and using a GIS requires expert knowledge, and can often prevent such systems from being used to their full capability by local officials. In addition, local government is often comprised of mature citizens who are committed to serving their community but may be wary of new technologies that are unfamiliar to them. 1.5 AIMS AND OBJECTIVES The aim of this paper is to analyse the extent to which GIS is being used in waste management by the local authorities in Mauritius, to identify barriers to proper use of GIS in solid waste management and to assess to what extent GIS affects sustainable waste management as a decision support tool in planning waste collection, recycling, waste segregation and disposal in order to create cost-effective systems. Finally a model will be proposed for the Grand Port-Savanne District Council (GPSVDC) a local authority in Mauritius using ArcGIS software that could be used as a decision support tool in planning waste collection and disposal. The model produced will be used to store information regarding the existing collection routes, land use data, population data etc and data regarding the volume of waste produced. Based on these information decisions appropriate decisions can be taken to improve the existing solid waste management system and also predictions can be made for future plans. Hence, in short the aims of this project are mainly as follows: To identify to what extent GIS is being used in waste management in Mauritius. To identify barriers to proper use of GIS in waste management. To assess to what extent GIS affects sustainable waste management as a decision support tool in planning waste collection, recycling, waste segregation and disposal To carry out a case study for the Grand Port-Savanne District Council (GPSVDC) a local authority in Mauritius in order to produce a database for decision making. The paper will also carry out a literature study of some examples of GIS work for waste management. The study will include a discussion and a critical analysis of the models. The analysis of these studies will allow us to learn about the usefulness of GIS as a tool is solid waste waste management and these may be developed for Mauritius in the context of creating an Integrated Solid Waste Management Plan. Further to literature review, a number of hypotheses have been designed and have been described briefly GIS and Social Development H1: There is a significant link between GIS and Social Development. H0: There is no significant link between GIS and Social Development. GIS and Economic Development H1: There is a significant link between GIS and Economic Development. H0: There is no significant link between GIS and Economic Development. GIS and Environmental Development H1: There is a significant link between GIS and Environmental Development. H0: There is no significant link between GIS and Environmental Development. To achieve these aims, a logical step has been carried out to complete this project. The structure of the research gives an idea of the issues covered in this project. 1.6 Methodology In order to analyse the general waste management situation in the local authorities (Municipalities and District Councils) in Mauritius, a scientific approach was implemented to gather primary information which comprises of different steps. These steps are as follows: Step 1: The target group was identified. 30 officers working in the Local Authorities were interviewed. Alongside, a questionnaire vide Appendix 1, was designed to retrieve information from the respondents. Step 2: The 30 officers were interviewed and the questionnaire was used as a guide to ensure proper flow of questions. However, much emphasis was put in open ended questions so as to get maximum information concerning their point of view relating to the present waste management system. Step 3: The data collected was analyzed using SPSS and Excel whereby results were shown on a first instance in terms of descriptive statistics being line charts, bar charts and in terms inferential statistics being correlation, cross tabulation. Step 4: A list of recommendations and suggestions are given regarding the use of GIS in solid waste management in Mauritius and how they it can help in sustainable waste management. As well as, what can be done to mitigate the barriers that prevent the proper use of GIS. Chapter 2 GIS Model Analysis 2.1 Model 1 This is an overview and a discussion of the paper, A case study of fuel savings through optimisation of MSW transportation routes written by Gilberto Tavares, Zdena Zsigraiova, Viriato Semiao, Maria da Graà §a Carvalho published in 2008 in the Journal Management of Environmental Quality, Volume: 19 Issue: 4. At the end of the discussion there are critical views on this paper work. 2.1.1 Waste management background in Cape Verde This study has been carried out for Cape Verde where the demographic growth, tourism and other economic activities are putting enormous pressure on government. There is still evident lack of development plans, the existing waste management being rather poor and characterized by inefficient collection systems. (Gilbero Tavares, 2008) Besides, the negative impact of untreated waste on public health and on public concern, which focused the attention of engineers and scientists on the quest for waste management solutions viewing the prevention of undesired environmental effects, economy plays also an important role on this activity. In fact, collection and transportation of waste can absorb as much as 75 per cent of the municipalities MSWM budget that are usually the institutions responsible for such activities. (Gilbero Tavares, 2008) One of the heavy costs present in MSWM systems is the fuel price and its consumption is inevitably associated with undesired pollutants emissions. Therefore, the minimisation of fuel consumption to perform waste collection and transportation to its treatment or final disposal brings enormous savings and environmental benefits. 2.1.2 GIS approach The methodology used comprised of three phases. Phase 1 The model of the terrain and the road network A 3D model of the entire island of Santo Antao, Cape Verde was produced based on a digitised map provided in CAD files. The 3D model is generated as polylines based on contour lines that reflect the actual relief of the terrain. Using ArcGIS 3D Analyst, the 3D road network is then generated from both the 2D road network and the terrain model complying with the road gradients. This methodology makes possible the generation of road networks in the appropriate form allowing for the calculation of all inclinations of each road segment, which permits to determine the fuel consumption for both road directions (uphill and downhill). The 3D digital model and the road network obtained allows the large variability of the relief to be observed. Phase 2 Calculation of actual fuel consumption Fuel consumption during waste collection and transportation is influenced by the travelled distance and by the actual operation conditions of a given vehicle. These effects are incorporated in the model through the methodology established by Ntziachristos and Samaras (2000) in COPERT, which is a computer programme to calculate emissions from transport vehicles on road. (Gilbero Tavares, 2008) Besides considering specific vehicle parameters, the methodology also takes into account different driving conditions, namely the type of the driving situation, the vehicle load and the road gradient. The gradient of a road increases, when positive, or decreases, when negative, the resistance of a vehicle to traction. Therefore, and because of their large masses, the power employed during the driving is the decisive parameter for the fuel consumption. Once calculated, the fuel consumption value for each route arc is stored in the spatial data base to be used later during the route solver procedure that searches for the route with minimum fuel consumption. Phase 3 Optimisation of vehicle routing The efficiency of a management system that is able to solve problems related to vehicles circulation in road networks can be measured through its capacity to obtain optimised routes. For a system of MSW transportation, this consists of generating an optimal route for a given vehicle so that the value of the selected cost criterion is minimised. For the calculation of the optimal routing, the model used herein makes recourse to ESRIs programs ArcGIS, ArcInfo and Network Analyst extension, and it finds the minimum defined impedance path through a network. In order to compare solutions and clarify the potential of the present methodology, the routes are optimised regarding either the lowest fuel consumption or the shortest distance. Findings The findings of the study showed that the optimisation for the lowest fuel consumption yields 52 per cent savings in fuel, when compared to that for the shortest distance, even travelling a 34 percent longer distance, which shows the importance of considering simultaneously the relief of the territory and the lowest fuel consumption criterion when optimising vehicle routes. 2.1.3 Critical views With such a supporting decision tool savings in fuel are huge, the efficiency of management systems is improved and the environmental impact during daily operation is reduced. The GIS 3D route modelling takes into account the effects of both the road inclination and the vehicle load. The originality of the work lies in the chosen approach. To optimize vehicle routes the criterion of minimum fuel consumption rather than the commonly used shortest distance is used, since fuel consumption is the factor reflecting actual costs relative to MSW management. 2.2 Model 2 This is an overview and a discussion of the paper, A GIS Approach to Waste Management and Recycling in New York State. Written by Ghaly, Ashraf and published in 2009 in the journal Proceedings of the International Conference on Waste Technology Management, p1140-1150. At the end of the discussion there are critical views on this paper work. 2.2.1 Purpose of the study Solid waste and recycling programs requires management of large databases including collection data, transfer, processing, disposal, export, import, and future planning. The body of information involved in the decision making process is too challenging to effectively mange due to the many components it contains. A GIS approach takes advantage of the spatial nature of data presentation to illustrate the areas of strength in the system and to identify the areas in need for improvement. Such a system is not only useful to managers and state officials but it also is easier for the public to comprehend and appreciate. GIS also makes it easier to measure success and detect trends, which ultimately help improve the system to better manage collection, sorting, and recycling facilities. (Ghaly A., 2009) The existing recycling programs are put in place to reduce the use of virgin materials from forests, energy consumption, greenhouse gas (GHG) emissions, and water pollution. These programs ultimate goal is to promote conservation and to encourage the members of the public to be active participants in this effort. This paper uses GIS to demonstrate, using maps, the current state of waste management and recycling efforts, future plans, and methods of measuring success across geographic boundaries. The paper concludes that a spatially-based management system offers advantages, which makes it superior to non-spatial systems. Data Collection This paper uses data published by the New York State Department of Environmental Conservation (DEC) for all the counties in the state to study the efficiency of the existing recycling programs and to find ways to optimize the use of landfills. This analysis is done for Municipal Solid Waste (MSW), industrial waste, demolition and construction debris, and for waste exported out of the state to neighboring North East states. For better management of solid waste in the state of New York, the Department of Environmental Conservation (DEC) maintains a comprehensive database on waste composition, pattern of waste generation, and methods of disposal. The success of this operation depends on the quality and accuracy of data collected. This data helps in the decision making process regarding the transfer and processing of solid waste, disposal, import/export, recycling, and in making plans for the future. To contribute to these efforts, the Northeast Recycling Council (NERC) developed an Environmental Benefits Calculator which generates estimates of the environmental benefits based on the tonnages of recycled materials. Environmental benefits metrics involves quantifying the reduction in use of virgin materials from forests, oil supplies, and mines; reduction in energy consumption; reduction of Green House Gas (GHG) emissions; and the reduction of water pollution, and conservation of natural resources. These are all goals that DEC is interested in increasing awareness for. Waste management and recycling are impacted by economic and political factors. These factors add a layer of complexity to the data collection process. Some of the concerns related to these issues are solid waste migration of recyclables across geographic boundaries, which involve dealing with regulations of various agencies and governments. In addition, the diversity and variety of recyclable materials add to the difficulty of compliance with required transportation methods across boundary lines. Four Phase Plan The DEC developed ambitious plans for data collection and analysis. This plan is made of four phases: Phase 1: Fill in data gaps by enforcing reporting requirements; researching recyclables data available from transfer or disposal facilities; and seeking voluntary data from non-regulated recyclers. Phase 2: Validate/improve data by using metrics to compare data from Planning Units and facilities; auditing a sampling of annual reports; include data source checks at facility inspections; and investing in electronic reporting mechanisms. Phase 3: Develop State policies to improve recycling by updating regulations to foster increased recycling; using permit conditions to promote best practices; involving State agencies/facilities; and incorporating these ideas into the State SWM Plan. Phase 4: Work with Planning Units to grow recycling by establishing more recycling metrics; reestablishing State promotion of 3Rs (reduce, reuse, and recycle); targeting higher recovery for paper and organics; and targeting outreach toward specific sectors such as government agencies, schools, and food service. Role of GIS in NYS Plan Data is the heart and soul of waste management analysis and future planning. In complying with their reporting requirements, the enormous number of facilities involved in waste management and recycling in NYS delivers tremendous amount of data. With its spatial nature as shown in the above maps, GIS can add a visual dimension to data that is otherwise too complex to comprehend. With more emphasis placed on enhancing reporting to comply with regulations, the bulk of the collected data is expected to increase and become more elaborate. It is believed that GIS with its excellent spatial techniques can help in the analysis phase and in the decision making process as well. Critical views A spatially-based geographic information system (GIS) for data management and analysis seems to be more capable of handling enormous amount of data similar to the volume collected by New York States Department of Environmental Conservation on solid waste and recycling activities in the state. With the Department of Environmental Conservation (DEC) aiming at improving reporting and analysis for better management, GIS can offer the tool necessary to accomplish these tasks with efficiency and ease. Based on this model, GIS can be used to collect data in respect of the type and volume of recyclable materials around the island of Mauritius. We can thus better plan the collection of recyclable wastes. 2.3 Model 3 This is an overview and a discussion of the paper, GIS Application in Coordinating Solid Waste Collection: The Case of Sinza Neighbourhood in Kinondoni Municipality, Dar es Salaam City, Tanzania. Written by Alphonce Kyessi and Victoria Mwakalinga and published in 2009 in the journal FIG Working Week 2009. At the end of the discussion there are critical views on this paper work. In this paper Alphonce Kyessi used GIS in ROUTING EFFICIENCY ANALYSIS FOR SOLID WASTE COLLECTION IN SINZA A NEIGHBOURHOOD IN DAR ES SALAAM. 6.1 Location Sinza A is one of five residential neighbourhoods of Sinza ward in Kinondoni Municipality in Dar es Salaam. Accommodation about 5,000 people, the neighbourhood is located about 12 kilometres from the Dar es Salaam city centre. The Kinondoni Municipal Council had contracted private companies and civil societies organisations in the collection of solid waste in residential neighbourhoods. Kimangele Company Limited is one of those private contractors. The routing system for Kimangele Company was studied in detail to assess the solid waste collection efficiency as shown in Figure 5 and 6. Figure 5: Location of Sinza A area for Kimangele Contractor Source: Mwakalinga, 2005 Kimangele plies from house to house to establish a solid waste collection system known as bring system in Sinza A. The bring system is done in big catchment areas i.e. above 50 metres in radius. Waste generation and collection Sinza A consisted of 876 households (Mwakalinga, 2005). Generally the area generates about 14.5 tonnes of waste per day. The waste composes of plastics, tins, organic food waste, packaging materials, clothes, metals and bottles. Out of the waste generated, the contractor collects 8.4 tonnes from households. The rest About 5.1 tonnes (47.7%) of waste are collected by informal collectors (using wooden carts) to designated collection centres. The rest (about 1 tonne) is haphazardly dumped in rivers, on roads sides, burnt or buried. About 160 households are not members of house to house collection service; they prefer using the informal collectors instead of the contractors trucks. When interviewed, these households complained of ineffective collection system by the Contractor. One of the given reasons was that the truck was not following the rout as agreed. Others households said the collection charge of TShs. 2000/= per household was too high. They were ready to pay only TShs. 500/= per house regardless the number households in the house. Figure 6: Collection Systems as applied by Kimangele Company in Sinza A Source: Mwakalinga, 2005 When the Contractor was interviewed in 2005, he replied that, out of 716 households he was serving only 70% paid the refuse collection charges (Mwakalinga, 2005). According to Figure 8 below, there are some areas where the truck drives twice creating overlaps. Normally, a truck stands at a pick-up point, about 50 meters from the other. In other circumstances, the distance is more than 50 metres, and as a result more waiting time by the truck is needed indicating that the whole system of waste collection was foiled. Work Organisation The collection frequency by Kimangele was done twice a week i.e. Wednesdays and Saturdays. The service starts at 6.30 am to 5.30pm. The truck was making two trips on each day due to the amount of waste generated and the ability of the truck to carry the waste. The route for the first trip starts at Superstar area and ends at Kivulini through Sam Nujoma road to Mtoni kwa Kabuma dump site, about 30 kilometres away (see Figure 7). The route for the second trip passes through Morogoro road via Shekilango road; the first point in this trip is Super Star Street ending at cafà © Latino Street. Thereafter the route enters Sam Nujoma road to the main dump site, Mtoni kwa Kabuma. Figure 7: Existing Route for Kimangele Company in Sinza A Neighbourhood 6.4

Implications of Information and Communication Technology for Business E

Implications of Information and Communication Technology for Business Time and geographical factors have a huge affect on the communication methods we use. In the business world time is money, and no matter how far u need to communicate to, it normally has to be done quickly and efficiently. This is where Information Systems (IS) and Information Communication Technology (ICT) have a huge impact on businesses nowadays, especially large scale organisations. Currently, Local Area Networks (LANs) are becoming more common in normal size businesses, and large-scale organisations tend to use Wide Area Networks (WANs), intranets and extranets. A LAN is a computer network that spans a relatively small area. Most LANs are confined to a single building or group of buildings. However, one LAN can be connected to other LANs over any distance via telephone lines and radio waves; this is what we call a WAN (a system of LANs connected together). Each node (individual computer) in a LAN is able to access data and devices anywhere on the LAN. This means that many users can share expensive devices, such as laser printers, as well as data. Users can also use the LAN to communicate with each other, by sending e-mail or engaging in chat sessions. Hence LANs can be very useful for a small to medium sized businesses. For big businesses/organisations, WANs are more useful, as it means the business is not limited to where it can be based. For example a company may have its head quarters in London, but have an office in Cambridge. With the use of a WAN the same benefits as the LAN can be achieved, but in a greater geographical situation. Anot... ...et facilities means the same thing, employees can browse the net rather than doing their work. There are measures to fight against this, but they are not very efficient. As you can see, technology in the past few years has rocketed, and now ICT and IS are extremely fundamental to businesses and organisations, without the use of them everything even down to the simplest of things such as communication will be affected. Bibliography  · Rowe, Christopher and Thompson, Jane, People and Chips, ‘The Human Implications of Information Technology’. McGraw Hill, 3rd Edition 1996  · Bocij Paul, Chaffey Dave, Greasley Andres and Hickie Simon, ‘Business Information Systems – Technology Development and Management for E-Business’. FT Prentice Hall 2002.  · Langford, Duncan, ‘Practical Computer Ethics’. McGraw Hill 1995

Assignment – Principle to Accounting

Question 1 (Total 10 Marks) Instructions: Indicate in which journal the transactions given below would be recorded by placing the appropriate journal abbreviation in the space provided. AbbreviationJournal GJGeneral Journal CBCash & Bank Book SJSales Journal SRSales Return Journal PJPurchases Journal PRPurchases Return Journal CB 1. Received cash on outstanding amount from customer. SR 2. Customer returned merchandise sold on account. CB 3. Sold merchandise to customer for cash. GJ 4. Owner withdrew merchandise for personal use. GJ 5.Paid shipping charges on merchandise purchased on account. GJ 6. Purchased office equipment on credit. PJ 7. Credit purchase from supplier. GJ 8. Recorded adjusting entries. SR 9. Returned damage merchandise to supplier which has not paid yet. SJ 10. Sold merchandise to customer on account. Question 2 (Total 22 Marks) Instructions: Given the entry information in Silva Trading, prepare appropriate entries for the month of August 2012: 0. Aug. 1Sold mercha ndise for cash $300. Dr Cash$300 Cr Sales$300 1. Aug. 2Purchased merchandise from ABC Co. n account for $5,000; terms 2/10, n/30. 2. Aug. 4Sold excess land for $7,000 accepting a 2-year, 12% note. The land was purchased for $7,000 last year. 3. Aug. 6Sold merchandise to D. Stone on account for $930, terms 2/10, n/30. 4. Aug. 8Accepted a sales return of defective merchandise from D. Stone—credit granted was $280. 5. Aug. 11Purchased merchandise from Tanner Hardware on account for $1,800; terms 1/10, n/30. 6. Aug. 12Paid freight of $200 on the shipment from ABC Co. in cash. 7. Aug. 15Received payment in full from D. Stone by cash. 8. Aug. 19Paid ABC Co. n full by cheque. 9. Aug. 20Paid Tanner Hardware in full by cheque. 10. Aug. 27Purchased office supplies for $250 cash. Question 2 Answer: |Date |Account |Debit ($) |Credit ($) | |Aug. 1 |Cash |300 | | | |Sales | |300 | |Aug. |Purchases |5,000 | | | |ABC Co. | |5,000 | |Aug. 4 |Notes receivable |7,000 | | | |Land | |7,000 | |Aug . 6 |D.Stone |930 | | | |Sales | |930 | |Aug. 8 |Sales return |280 | | | |D. Stone | |280 | |Aug. 1 |Purchases |1,800 | | | |Tanner Hardware | |1,800 | |Aug. 12 |Carriage inward |200 | | | |Cash | |200 | |Aug. 5 |Cash |637 | | | |Discount allowed |13 | | | |D. Stone | |650 | |Aug. 19 |ABC Co. |5,000 | | |Bank | |5,000 | |Aug. 20 |Tanner Hardware |1,800 | | | |Bank | |1,782 | | |Discount received | |18 | |Aug. 7 |Office supplies |250 | | | |Cash | |250 | Question 3 (Total 48 Marks) Instructions: Based on your entries done in Question 2, prepare, for the month of August 2012: a) Adjusted trial balance (24 Marks) b) Income statement (12 Marks) c) Balance sheet (12 Marks)Silva Trading Trial Balance as at July 31, 2012 ————————————————————————— Account TitlesDr. Cr. ————— Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€Ã¢â‚¬â€ Cash500 Bank9,075 Prepaid Insurance2,000 Freehold Lands31,000 Notes Payable26,000 F. Santos, Capital15,000 F. Santos, Drawing2,000 Sales17,125 Purchase6,400 Salaries Expense4,000 Supplies Expense1,500 Insurance Expense1,200 Interest Expense500 Interest Payable 50 Total58,17558,175 Question 3(a) Answer: Silva Trading Trial Balance for the period ended 31st August 2012 Account Titles |Debit ($) |Credit($) | |Cash |987 | | |Bank |2293 | | |Prepaid Insurance |2000 | | |Freehold Lands |24000 | | |Notes Payable | |26000 | |F. Santos, Capital | |15000 | |F.Santos, Drawing |2000 | | |Sales | |18355 | |Purchase |13200 | | |Salaries Expense |4000 | | |Supplies Expense |1500 | | |Insurance Expense 1200 | | |Interest Expense |500 | | |Interest Payable | |50 | |Notes receivable |7000 | | |Sales return |280 | | |Discount allowed |13 | | |Discount received | |18 | |Carriage inwards |200 | | |Office supplies |250 | | | |_____ |_____ | |Total |59423 |59423 | Question 3(b) Answer: Silva Trading Income statement for the period 31st August 2012 Sales | |18355 | |-Sales return | |280 | | | |18075 | |-Discount allowed | |13 | |Net sales | |18062 | | | | |-Cost of sales | | | |Purchases |13200 | | |-Discount received |18 | | | |13182 | | |Carriage inwards |200 | | | | |13382 | |Gross profit | |4680 | | | | | | | | | |Expenses | | | |Salaries Expense |4000 | | |Supplies Expense |1500 | | |Insurance Expense |1200 | | |Interest Expense |500 | | | | |7200 | |Net loss | |(2520) | Silva Trading Balance sheet as at 31st August 2012 |Non-current assets | | | |Freehold Lands | 24000 | |Office supplies | |250 | |Notes receivable | |7000 | | | |31250 | |Current Assets | | | |Cash |987 | | |Bank |2293 | | |Prepaid Insurance |2000 | | | |5280 | | |Current Liabilities | | | |Notes Payable |26000 | | |Interest Payable |50 | | | |26050 | | | | | | |Works capital | |(20770) | | | |10480 | |Owner’s Equity | | | |Early Capital | |15000 | |-Drawing | |2000 | | | |13000 | |-Net loss | |(2520) | | | |10480 |

Vincent Tinto And Student Retention

Vincent Tinto is currently a Distinguished University Professor at the Syracuse University a position he has held since June 1998. Prior to that, he was a Professor of Education from June 1985 to June 1998 and an Associate Professor of Education since September 1975 to June 1985 at the same university. In the period September 1971 to June 1975 he was an Assistant Professor of Education in The Columbia University New York. He is also currently the chair of the Higher Education Program a position he has held since 1999. His academic background is also very impressive. He did his undergraduate studies in Fordham, The Jesuit University of New York in 1963 where he graduated with a bachelor of science in Physics and Philosophy. He went on to Rensselear Polytechnic Institute to pursue his masters’ degree in Physics and Mathematics in 1965. He holds a Ph. D. in Education and Sociology which he got from the University of Chicago in 1971. It is noted that while he was pursuing his doctorate he dropped out of school to join the Peace Corps and this may be one of the reasons why his researches major on student attrition and the ways to retain them in school. In this paper, the discussion will revolve around the arguments that he presents in the course of his numerous researches and in his body of works. The professor is of the view that to retain students in school all that the schools have to do is provide quality education. He tries to explain the reasons why students dropout of school especially after the first year of college (Tinto V. 1975). He also tries to provide the solutions that may work in retaining the students in the school especially through the provision of better and quality education to the students. This is done with the assumption that students want to be in school but other factors end up pushing them away. Looking at the way he approaches the issue, one notices that he lays most of the blame on the faculty. In his opinion, students would rather be in school but the faculty and education systems fail to meet the expectation of the students and hence their inability to continue being in school. They end up not trusting an education system that does not seem to meet the standards they expect an institution of higher learning ought to possess. The reception they get at the school also determines a lot if they will make it to the end of their course or they will drop out midway. According to Professor Tinto, there are three main factors that determine whether or not a student will complete their college education and these are â€Å"academic preparation, commitment and involvement† (Seidman A. & Tinto V. 2005). Although there are other factors, these are the ones identified as being most common among most of the cases. It has become of paramount importance for the schools to be able to retain their students because the graduation rate has become one of the factors determining the rating of a college. In order for a school to upgrade its position or maintain the one it is currently holding if it is a good position, a way has to be found to retain the students who are at risk of withdrawing from school. Professor Tinto among others have been conducting researches to determine what makes student leave school while others faced with similar problems persist. He conducts interviews using high-risk students who have succeeded in college as his subjects. He focuses mainly on those who are in the two and the four year courses and are under prepared and underrepresented in terms of college education. He tries to find out from them which factors enabled them to persist when others failed. As stated before, commitment, preparation and involvement are the key factors determining whether one will remain in school or one will quit midway. In an article he wrote with Cathy Engstrom ‘Access Without Support is not Opportunity’ (http://www. changemag. org), they give the example of Donald who dropped out of college after transferring to a different school. He is an example of students who drop out due to being disappointed by the college. He starts off college in a school where the teachers are concerned with the students’ welfare and the environment is challenging. However, due to familial problems Donald is forced to move to another college which he feels lacks in quality when compared to the previous school. Professor Tinto notes that, although in Donald’s he later went back to school, not all dropouts go back to finish their education. It has been recorded that majority of high-risk students especially those who are low-income do not complete their college education. In the case of the four year degree courses, only about 26 percent of low-income students finish in a period of six years when compared to the 56 percent of high-income students who achieve the same (http://www. changemag. org). The reason given for this is that they are academically under prepared especially because they do not have access to academic resources in a manner similar to that of the high-income students. This leads to feelings of inadequacy and helplessness among the low-income students often resulting in their dropping out of school. They tend to view the time spent in school as a waste of their time which could be used to generate income by working. This decision is made because they cannot foresee ever getting the same grades as the high-income students since they are not on the same level. This means that their lack of preparation leads to their lack of commitment to the education that they are receiving. Lack of commitment then obviously leads to very high rates of dropping out of college. To deal with this problem, the faculty has to get involved since as professor Tinto sees it they are the main perpetrators of the problem. In Donald’s case, although he had not been well prepared for college, in his first school the teachers were concerned with his welfare and hence he was able to feel welcome in that school and able to concentrate on his studies. This corresponds to the idea that student-faculty out of class contact is very important to a students’ academic growth (Tinto V. 1993). When a student feels free to approach a teacher out of class, even if he or she was not well prepared when enrolling in the college, there is a high possibility that the student will succeed. The reason given for this is that the student will be able to ask for assistance and guidance from the teachers. This assistance may be academic or personal for example in choosing a career one may be able to get the best guidance from the teachers who know which are the student’s strong and weak points. A student may also be suffering from personal problems that affect his or her academic performance and by opening up to a teacher may be able to get the extra help required for excellence in the academic field. A teacher may also be able to assist a student with required material for the class or direct the student where to get the material if they do not have it or are unable to afford (Tinto V. 1975). From his research, Professor Tinto has found out that most of the students who succeed in college yet were in danger of dropping out attributed their achievement to contact with a faculty or staff member although this was rare (Tinto V. 1975). This contact with someone affiliated to the school helped the students get into the rhythm of college life and gave them someone to approach whenever they had problems in the school. They also got a point of reference when setting their goals of what they would like to achieve since they now had real life models to emulate and learn from. The student-faculty out of class relationship is very important as it leads to various positive gains by the student thus ensuring their retention in school. The student involved in this sort of interaction feels more satisfied with the faculty and the college as he or she feels welcome in the school. They develop both personally and intellectually while gaining the ability to think critically by being constantly in the presence of someone with experience in the field. The perception that the student has of the quality of the college improves consequently leading to their improved performance and in class while raising their educational aspirations. The overall result of all this is the persistence of the student to graduate since they have dreams to achieve (Tinto V. 1975). All the above is possible because the student has become committed to the education that he or she is receiving which is one of the key factors that the professor talks about. The student feels that there is a responsibility to attain the best grade possible because there are people helping him or her and it would be wrong to let them down. Furthermore, they have their appetites for education and also betterment of their futures through the same whetted and they also feel proud of having done the best that they could. There is also a sense of not wanting to be the one who let the entire school down through bad performance and dropping out. The third key factor that the professor talks about is the importance of the involvement of the student in the school society/community. He has come up with the idea of Learning Communities which involves the participation of both the faculty and the students. These communities work in creating a sense of community in the school that helps the students feel that they belong in a society that welcomes them. These communities are not for students only but faculty members can also form their own communities that aid them in providing the best possible education to the students while making learning easier and more enjoyable for both parties (Tinto V. & Engstrom C. 2002). Learning Communities are described as teams that meet on a regular basis a number of times in a week. These teams have an agenda to improve their work for the collective betterment of the school. The members also want to improve themselves daily by engaging in discussions within the group that aid in the attainment of the schools goals and also their individual goals. This is done independent from the classroom experience which also takes place. However the classroom influences the teams because members of the same group have top have similar interests which are determined by what is done in class. In the case of students, those pursuing similar courses tend to be members of the same group because they can discuss the same things in the group and also have the same goals. The students will meet several times a week at a time convenient for all the group members’ other than class time. Their discussions will revolve around the class work and the problems each encounters when attempting the same. In case there is a major problem common to all the members they have the opportunity to get in touch with a teacher and discuss the problem and get the necessary assistance (Seidman A. & Tinto V. 2005). When it comes to the faculty members, they may decide to meet weekly or twice a month to discuss ways in which they can improve service delivery to aid the students in their education. They also offer their criticism concerning the students and try and work out which ways would be best to improve the students’ performance. They also share the common problems that they encounter when performing their duties and discuss the ways in which they can make their work easier and the best ways they can deal with the problems. It is important for both students and faculty members to be involved for the Learning Communities to work. The students have to be able to count on the teachers support when addressing their issues and know that the teacher will respond to their queries. The teachers have to be available for consultations with the students. The students must be able to find time outside class when they can meet and address their problems and discuss class work. This is when this theory meets a hurdle in its implementation because time is a rare factor in college. It is almost impossible to find the people all having some free time at the same time and if the students manage it the teachers may not be available at that particular time. In conclusion, one has to give Professor Tinto credit for the work that he has done in trying to come up with ways to deal with the problems that students encounter in their college life. He has dedicated a lot of his time to researching on how to make learning easier and pleasurable to students so as to avoid their dropping out of school. He focuses on the failure of the faculty to provide a good learning environment thus causing the students to feel that the education they are getting is not worthwhile. He shows the different ways that this can be remedied to ensure that students remain in school and get good education. From his interviews, he arrives at the conclusion that for a better learning environment to be attained the students and the faculty has to change their attitude towards learning by making the learning institutions more welcoming to students. This is done by improving the out of class faculty-student relationships which aids the students get attuned to college life. It can also be done by forming learning communities which help both the students and teachers improve the education in the school and consequently the overall grade of the school. However, as much as his arguments as very valid and his solutions reasonable there are problems that are encountered in executing them. The students and faculty members claim not to have the time to be involved in the learning communities and in the student-faculty out of class meetings. However if they were to be implemented, they would be able to work beautifully. It is however important to note that not all students will be retained since some dropout of school for other reasons different from the ones discussed by the professor but the ones discussed can be greatly reduces if the measures were to be implemented.