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A socio-economic impact analysis of selected national development agency funded projects in the Eastern Cape provinceMditshwa, Siviwe January 2012 (has links)
The South African government cannot in isolation deliver all the community needs as expected. Therefore, the involvement of all the sectors becomes crucial in the fight against poverty, largely due to the fact that the delivery of services (community needs) by the public sector does not balance with the amount of the resources allocated. This implies that government cannot successfully manage to deliver the community needs in isolation. A shared service delivery strategy to support the socio-economic development initiatives towards sustainable shared growth is therefore essential. The Public-Private Partnerships and Public-Public Partnership have emerged as alternative measures or important public policy tools in addressing the ‘shared delivery’ of services to the general public of South Africa. As a result of high levels of poverty experienced by the people of the Eastern Cape, in fact by the larger South African population, major interventions by NGOs, CBOs and other civil organisation are gaining momentum. Likewise, the establishment of the National Development Agency as mandated is also a public policy tool that looks into improving the socio-economic development of the local communities. Such interventions and partnerships therefore have a big role to play in support of the ANC led government to effectively deliver on its mandate, thus ensuring improved citizen’s welfare. Importantly, what triggered the undertaking of this study are the high levels of poverty, poor local economic developments and poor monitoring and evaluation of the funded projects in the Eastern Cape. In this study community and poverty in developing South Africa is well discussed. Attention is drawn to the whole idea of socio-economic development - simultaneously touching on the socio-economic shift in SA. Local Economic Development is also discussed with its LED dimensions, including business developments within the two said districts. The main aim of this study is to establish the extent to which the interventions by National Development Agency ‘Public Entity’ have improved the socio-economic development of the rural local communities in the Amathole and OR Tambo Districts towards sustainable and shared growth. The study includes a conceptual meaning of the public sector in general with its key service delivery role players. The study also includes the conceptual theoretical basis of the socio-economic development with specific reference to South Africa then cascades down to the study areas. Under the same note, a detailed explanation is also given on the nature of Public-Private Partnership (PPP) as a model for improved socio-economic development. Conceptual presentation of the Public-Public Partnership (PPP) for shared service delivery is also alluded to.
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Investigating The Relationship Between The Policy Implementation Process And The Utilization Of Information Technology In A Constitutional Republic: The Case Of I-269 Nepa ProcessHolland, Joseph Hampton 01 May 2010 (has links)
Information technologies (IT) have provided significant benefits for society. By drawing on the assumptions of the New Public Management (NPM) framework, the author investigates how, in one case, IT alters the policy implementation process. Additionally, the author tests reinforcement theory, sociotechnical theory, and technological determinism to determine which IT model best explains the utilization of IT at the Mississippi Department of Transportation (MDOT). This study examines the National Environmental Policy Act (NEPA) of 1969. By conducting interviews, analyzing documents, and examining a physical artifact, the author explores the administration of an economic impact analysis (EIA) that was conducted on the I-269 corridor. Using a quasi-experimental design, the author compared a control EIA with a test EIA that utilized the Regional Economic Modeling Inc. (REMI) software to determine how IT altered the EIA, which is required through NEPA. The control EIA process was conducted by MDOT, and the test EIA was administered by a research team from Mississippi State University (MSU). In this case, the author found that the utilization of IT altered the test EIA. First, the REMI model provided a broader scope and provided more variables and outputs for analysts to observe. Second, the utilization of REMI reduced the time associated with the data collection and analysis of the I-269 corridor. Finally, the author found that the projected economic impacts changed direction. In other words, instead of the construction of I-269 positively affecting the community, region, or state, the REMI model indicated that the construction of the corridor would negatively impact the surrounding areas. Finally, by tracing the utilization of REMI at MDOT, the author determined that reinforcement theory explained the initial adoption and utilization of IT. However, the author discovered the REMI model was not utilized in all EIAs. This finding highlights that MDOT has the discretionary power to adjust the methods utilized to investigate the economic impacts associated with highway projects. Therefore, while NPM promotes the utilization of IT for agencies to achieve objectives and transform bureaucracies, the research highlights a tentative critique of the NPM framework.
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Modeling The Economic Impact of A Farming Innovation Group On A Regional Economy - A Top-Down Versus Hybrid Input-Output ApproachGangemi, Michael Andrew, michael.gangemi@rmit.edu.au January 2008 (has links)
This thesis involves construction of input-output models measuring the economic impact of a farming innovation organisation (The Birchip Cropping Group) on the Victorian regional economy of Buloke Shire. The input-output modeling undertaken is of two forms; the first being a simple naïve top-down model, and the second a more sophisticated hybrid model. The naïve top-down model is based on input-output coefficients drawn from the Australian national input-output tables, and is regarded as naïve because these input-output coefficients are not adjusted to take account of local economic factors. The hybrid model uses the same national input-output coefficients as a base, and then modifies these coefficients to better reflect industrial conditions in the Shire using a location quotients-adjustment technique, as well as using original survey data collected from entities operating in Buloke Shire. One of the aims of the thesis is to determine whether the simpler naïve top-down approach produces results consistent with the theoretically more accurate hybrid methodology, and thus whether the naïve top-down approach represents a reliable method of conducting regional economic impact analysis. That is, can such studies be undertaken accurately using a naïve top down approach, or is it necessary to adopt the more resource intensive methodology of a hybrid model. The results of the analysis suggest construction of a hybrid model is advisable, as generally the naïve top-down approach produces over-estimates of the economic effects of the Birchip Cropping Group. That is, it appears the economic impact multipliers estimated with the naïve top-down model are too large, suggesting the time and effort involved in constructing the hybrid model was worthwhile. Using the hybrid model, the conclusion is that the Birchip Cropping Group has a significant affect on the regional economy of Buloke Shire, with the economic impact being estimated at close to $600,000 in additional output, $61,000 in additional income, and 3.5 additional jobs per year.
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An input-output analysis of the economic impacts of chronic wasting disease and bovine spongiform encephalopathy in Alberta and CanadaPetigara, Milap Unknown Date
No description available.
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An input-output analysis of the economic impacts of chronic wasting disease and bovine spongiform encephalopathy in Alberta and CanadaPetigara, Milap 06 1900 (has links)
This thesis utilizes input-output analysis to calculate the economic impacts from potential prion diseases outbreaks in Alberta and Canada. Both chronic wasting disease and bovine spongiform encephalopathy have the capacity to not only affect the farmed cervid and cattle industries, but to impact all industries with direct and indirect links to these sectors. Cervid sector shocks consistently yield small spillover effects on the economy in all models. In contrast, the cattle sector generates larger multiplier effects. A worst-case scenario that reduces cervid sector output to zero yields total economic losses of $11.5 million in Alberta, and $43.7 million in Canada. A reduction of cattle sector output to zero results in total economic losses of $6.4 billion in Alberta, and $34.9 billion in Canada. / Agricultural and Resource Economics
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ECONOMIC IMPACT ANALYSES OF CONSUMPTIVE USES OF NATURAL RESOURCES IN INDIANADhruba Burlakoti (14284862), Mo Zhou (46274), Eva Haviarova (12631618), Carson Reeling (7346774) 21 December 2022 (has links)
<p>This research combines the economic contribution analysis of hardwood industries in Indiana and the economic impact analysis of furbearer hunting and trapping in Indiana. This research employs input-output analysis using Impact Analysis for Planning (IMPLAN) software. </p>
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ECONOMIC IMPACT OF PROPOSED RVP FUEL PROGRAM IN HAMILTON COUNTY, OH: A REMI MODEL APPROACHDAYAL, ABHISHEK 28 September 2005 (has links)
No description available.
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Next-generation biofuels: the supply chain approach to estimating potential land-use changeOkwo, Adaora 29 March 2012 (has links)
Biofuels, including ethanol and biodiesel, are important components of energy policy in the U.S. and abroad. There is a long history of ethanol production from corn (maize) in the United States and from sugarcane in Brazil. However, there has been a push for greater use of next-generation biofuels (including those derived from cellulosic feedstocks) to mitigate many of the environmental and potential food system impacts of large scale biofuel production.
Farmer willingness to grow biomass crops and ensuring adequate feedstock supply are two important challenges impeding large scale commercialization of next-generation biofuels. The costs of transporting bulky, low density biomass will be substantial. Consequently, in the near term, the economic success of next-generation biofuels will hinge on the supply of locally available biomass. As such, agricultural contracts are expected to be an important tool in overcoming the feedstock acquisition challenge. The broad objective of this study is to understand the effect of contracting for non-food energy crops (cellulosic feedstocks) on the agricultural landscape via the displacement of commodity (food) crops on productive cropland.
We develop an analytical framework for evaluating the design and use of two different contract structures for securing cellulosic feedstock in a representative supply chain with a biorefinery and farmer. We study the dynamics of scarce land and indirect competition from commodity market production on a biorefinery's equilibrium pricing strategy and the resultant supply of cellulosic biomass. And we consider its sensitivity to various production characteristics and market conditions.
We develop a method for quantifying the biorefinery's tradeoff between profit margins and competing for land in order to secure the requisite feedstock for biofuel production. And we characterize the loss of efficiency in the decentralized system, relative to a vertically integrated system, that can be attributed to the need to compete for the farmer's scarce land resource versus that which results from the biorefinery's desire to make a profit.
Then we extend our framework to consider multi-year contracts for biomass production and evaluate the importance of land quality, yield variability and contract structure on a farmer's willingness to accept a contract to produce cellulosic feedstock as well as the resulting impact on the agricultural landscape through the displacement of commodity crops. Using switchgrass production in Tennessee as a case study, we develop feedstock supply curves for each contract structure considered and evaluate the conditions and contract prices at which land devoted to various field crops would be displaced by switchgrass based on field trials of switchgrass production in Tennessee and recent USDA data on crop prices and production.
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An analysis of methodologies to estimate the economic impacts of freight transportation system disruptionsVischio, Andrew Joseph 18 November 2010 (has links)
Disruptions to the freight transportation system are costly due to freight's critical relationship to economic productivity. This research will analyze the current methods of estimating the economic impacts of disruptions to the freight transportation system. A review of existing literature will be conducted with the intent of finding methods that address different types of disruptions and impacts. Due to varying economic scopes and disruptions studied, the results will likely indicate a broad range of methodologies and trends. The results will be used to better understand the different approaches taken when quantifying the economic impacts of disruptions and therefore enable more informed policy, regulation and investment.
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A critical analysis of the socioeconomic impact assessments of the Addo Elephant National ParkRose, Matthew Calvin January 2011 (has links)
Impact assessment is a requirement for development in many countries across the globe, seeking to inform the decision-maker as to the environmental, social and economic impact of an ongoing or proposed project. Socioeconomic impact assessment (SEIA) is a means of informing decision-makers as to the socioeconomic effects a project could have, or is having, thus contributing to informing adaptive management practices. However, the tendency of socioeconomic impact assessment to highly quantitative economic methods of analysis raises the question of whether the desired results are achieved by the process. The purpose of the research was to determine whether highly quantitative forms of economic analysis are suitable for measurement of impacts in a social context where distributive as well as net impact is important; to critically analyze the method utilized in achieving highly quantitative economic impact assessment results; and lastly to draw conclusions and make recommendations regarding the efficacy of monitoring processes used to inform adaptive management practices. The research was conducted by means of a case study focusing on three SEIAs carried out on the same entity, namely the Addo Elephant National Park. Managed by South African National Parks (SANP), it began expanding its borders in the early 2000s. Funded by the World Bank, SANP was required to carry out a comprehensive Strategic Environmental Assessment (SEA) in 2003 to ensure the expansion did not have negative environmental, social and economic repercussions, and where such consequences were unavoidable, to ensure that mitigation and management thereof was informed by useful monitoring exercises. Given the need for resettlement and issues of economic distributive concern raised in the 2003 SEA, the three socioeconomic impact assessments conducted from 2005 – 2010 as part of the ongoing monitoring exercises formed an ideal framework for answering the primary research questions. The findings indicate that despite consistent terms of reference, different assessors interpret mandates from the commissioning body in different ways, leading to varied applications of the same theory, some methodologically better than others. Economic multiplier analysis was found to be inadequate as a measure of the distributive effects of economic impact. Moreover, a lack of consistency, accountability and transparency in the monitoring process led to three sets of results that were incomparable over time and thus inadequate as a means to inform adaptive management practices. Asymmetries of and between power and expertise in the commissioning body and the assessors led to breakdowns of the assessment process in terms of accountability and integrity and resulted in a failure to properly define the scope of the study and measure the relevant indicators. The following recommendations were made: that the economic multiplier method be complemented by additional methods of analysis when utilized in disparate social contexts where distribution of economic benefit is important; that monitoring practices be systematized at an early stage of the process to ensure comparable results useful in informing ongoing management practices; and that what an assessment measures and how it measures it be clarified with reference to an objective source. Finally, the number of factors for consideration in any impact assessment means that measurement of the full picture suffers resource constraints, emphasizing the need for impact assessment oversight to recognize the deficiencies of the process whilst still acknowledging that ‘some number is better than no number’.
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