Dissertations / Theses on the topic 'Manufacturing industries – Environmental aspects – Indonesia'

This study is aimed at developing policies for energy efficiency by observing the past changes of energy use in Indonesia???s manufacturing sector over the period 1980???2000, and to investigate mitigation options for energy-related CO2 emissions in the sector. The first part of the study uses decomposition analysis to assess the effect of the changes in energy consumption and the level of CO2 emissions, while the second part investigates energy efficiency improvement strategies and the use of economic instruments to mitigate CO2 emissions in the manufacturing sector. Economic activity was the dominant factor in increasing energy consumption over the whole period of analysis, followed by the energy intensity effect and then the structural effect. The increase in aggregate energy intensity over the period 1980-2000 was mainly driven by the energy intensity effect. In turn, the technical effect was the dominant contributor to changes in energy intensity effect, with the fuel-mix effect being of lesser importance. Changes in CO2 emissions were dominated by economic activity and structural change. Sub-sectors that would benefit from fuel switching and energy efficiency improvements are the textile, paper, and non-metal sub-sectors. Three main options for reducing CO2 emissions from the manufacturing sector were considered: the imposition of a carbon tax, energy efficiency initiatives, and other mitigation measures. A carbon tax was found to reduce sectoral emissions from the direct use of oil, gas and coal, but increased the demand for electricity. At the practical level, energy efficiency improvements can be implemented by adopting energy efficient technologies that can reduce aggregate energy intensity up to 37.1 per cent from the base-year level, estimated after imposition of a carbon tax at $30 per tonne of carbon. A major priority for energy efficiency improvements was found to be in the textile and the paper and chemical sub-sectors. A mitigation measure such as the Clean Development Mechanisms could be encouraged in order to reduce projected emission levels. The preferred option would be the adoption of energy efficient technologies in the textile, chemical, paper and non-metal sub-sectors.

Recent studies of the environmental Kuznets curve raise questions regarding the relationship between environmental indicators and GDP and the fundamental reasons that explain this relationship. In response, this thesis presents one-sector and two-sector models to analyze the alternative causal relationships between an environmental indicator and GDP at different stages of economic development. These models analyze how economic scale, technology, preferences, and economic structure influence the causality and shape of the relationship. These theoretical studies are followed by two empirical studies. The first tests the causal relationship between CO2 emissions and GDP in Canadian manufacturing industries. The second explores several factors as the fundamental causes that influence the CO2 emissions in the same industries. Factors, such as economic scale, preferences, technological progress, structural change, and energy input, are found to be crucial in the determination of CO2 emissions. The empirical results are positive, but there are data limitations. The empirical studies can be re-evaluated as more data becomes available.

The purpose of this study was to assess the status of worksite smoking policies in Indiana's manufacturing industries and to describe the relationship between policy, workforce size, and manufacturing type. Of the 493 questionnaires distributed, 181 (36.7%) were returned. Approximately 67% percent of the industries reported having some type of restrictive policy with the majority of those policies not allowing smoking at the worksite except in designated areas. Most policies were developed within the last five years and were implemented due to a concern for employee health. Workforce size was directly related to the prevalence of significant restrictions. Those companies employing greater then 100 employees were the most likely to have a policy whereas the employing less than 11 were the least likely to have a policy. Standard industrial classifications 34 (fabricated metal products) and 35 (machinery, except electrical) had less restrictive policies as compared to other S.I.C. classifications. A follow up on 10% (n=30) of the nonrespondents yielded similar results to those who did respond.
Department of Physiology and Health Science

I consider the influence of foreign environmental policy on domestic manufacturing activity using theory and empirics. A tractable three-country spatial model yields a theory of locational com- parative advantage in the production of pollution-intensive manufactured goods: greater market access to countries with stringent environmental policy encourages output in the polluting sector. Operationalizing the model empirically, I find robust evidence that high market access to countries with stringent environmental policy increases manufacturing value added. Both the theoretical and empirical analyses suggest that estimates of the Pollution Haven Effect that ignore third country environmental policy - yet make the stable unit treatment value assumption - can be misleading. Chapter Two We investigate the impact of short-term weather and long-term climate on self-reported life satisfaction using panel data. We find robust evidence that day-to-day weather variation impacts life satisfaction by a similar magnitude to acquiring a mild disability. Utilizing two sources of variation in the cognitive complexity of satisfaction questions, we present evidence that weather bias arises because of the cognitive challenge of reporting life satisfaction. Consistent with past studies, we detect a relationship between long-term climate and life satisfaction without individual fixed effects. This relationship is not robust to individual fixed effects, suggesting climate does not directly influence life satisfaction. Chapter Three This chapter considers the related policy challenges of deindustrialisation and 'leakage' which can arise when environmental regulation is differentiated across regions. A dynamic two-region 'New Economic Geography' (NEG) model is adopted in which agglomeration forces may make firms tolerant of regulatory disadvantage. Each region ratifies an international environmental agreement (IEA) requiring it to tax transboundary pollution created by local firms. In contrast to previous NEG studies, the model adopted is considerably more tractable, enabling comparative static analysis to be conducted analytically rather than through computer simulation. The model is extended to consider the relationship between the prescribed tax rates and deindustrialisation caused by the relocation of firms. Firm relocation in response to a given tax differential depends crucially on trade costs and the initial location (configuration) of industry. For some industry configurations, agglomeration forces are strong and a set of tax differentials exist which cause no international relocation of polluting firms. For other initial industry configurations in which agglomeration forces are weaker, the same set of tax differentials may cause complete inter-national relocation to the less stringently regulated region. Trade liberalization can actually make industry less likely to relocate in response to a regulatory disadvantage. The model is further extended to consider the issue of carbon leakage, which arises in the regulation of greenhouse gas (GHG) emissions. For relatively low tax differentials, agglomeration forces create rents which tend to anchor industry in the higher taxing region, avoiding carbon leakage. If the tax differential is too great, however, agglomeration forces cause all firms to relocate to the lower taxing region where they optimally emit more GHGs. Environmental outcomes may therefore be improved by reducing the tax rate in the higher taxing region in order to discourage industry relocation. When industry is diversified between regions, firms respond to higher (lower) relative domestic taxes by increasing (decreasing) output and polluting more (less).

Although remotely sensed data have been employed to assess various environmental problems, relatively few previous studies have focused on the impacts of mining. In Indonesia, mining activities have increasingly become one of major drivers of land cover change. The majority of remote sensing research projects on mining environments have exploited optical data which are frequently complicated by tmospheric disturbance, especially in tropical territories. Active remote sensors such as Synthetic Aperture Radar (SAR) are invaluable in this case. Monitoring by Independent SAR data has been limited due to single polarisation. Dual-polarised data have been employed considerably, although for some forestry applications the data were found insufficient to retrieve basic information. This Masters thesis is devoted to assess fully polarimetric SAR data for environmental monitoring of the tailings deposition zone of the PT Freeport Indonesia Grasberg mine in Papua, Indonesia. The main data were two granules of the AIRSAR datasets acquired during the PACRIM-II campaign. To support the interpretation and analysis, a scene of Landsat ETM February 2001) was used, juxtaposed with classified aerial photographs and a series of SPOT VEGETATION images. Both backscattering information and complex coherence matrices, as common representations of polarimetric data, were studied. Primary applications of this research were on degraded forest and environmental rehabilitation. Most parts of Indonesian forests have experienced abrupt changes as an impact of clear-cut deforestation. Gradual changes such as those due to fire or flooded tailings, however, are least studied. It was shown that the Cloude-Pottier polarimetric decomposition provided a convenient way to interpret various stages of forest disturbance. The result suggested that the Entropy parameter of the Cloude-Pottier decomposition could be used as a disturbance indicator. Using the fully polarimetric dataset combined with Support Vector Machine learning, the outcomes were generally acceptable. It was possible to improve classification accuracy by incorporating decomposition parameters, although it seemed insignificant. Land rehabilitation on tailings deposits has been a central concern of the government and the mining operator. Indigenous plant pioneers such as reeds (Phragmites) can naturally grow on dry tailings where soil structure is fairly well developed. To assist such efforts, a part of this research involved identification of dry tailings. On the first assessment, interpretation of surface scatterers was aided by polarimetric signatures. Apparently, longer wavelengths such as L- and P-band were overpenetrated; hence, growing reeds on dry tailings were less detectable. In this case, the use of C-band data was found fairly robust. Employing Mahalanobis statistics, the combination of HH and VV performed well on classification, having similar accuracy with quad polarimetric data. Extension on previous results was made through the Freeman-Durden decomposition. Interpretation using a three-component image of odd, even bounce and volume scattering showed that dry and wet tailings could be well distinguished. The application was benefited from unique responses of dielectric materials in the tailings deposit on SAR signals; hence it is possible to discriminate tailings with different moisture levels. However, further assessment of tailings moisture was not possible due to security reasons and access limitations at the study site. Fully polarimetric data were also employed to support rehabilitation of stressed mangrove forest on the southern coast. In this case, the Cloude-Pottier decomposition was employed along with textural parameters. Inclusion of textural properties was found invaluable for the classification using various statistical trees, and more important than decomposition parameters. It was concluded that incorporating polarimetric decompositions and textural parameters into coherence matrix leads to profound accuracy.

Thesis (M.S.)--Mechanical Engineering, Georgia Institute of Technology, 2004.
Matthew J. Realff, Committee Member ; Farrokh Mistree, Committee Member ; Berdinus A. Bras, Committee Chair. Includes bibliographical references (leaves 191-195).

As empresas de manufatura necessitam integrar seus processos internos digitalmente para se tornarem mais competitivas e entregarem produtos com maior qualidade ao mercado consumidor. Informações definidas nas primeiras etapas de projeto precisam ser recuperadas em todas as fases do ciclo de vida de um produto. Para alcançar este objetivo são necessários modelos de informação que incorporem inteligência e permitam a representação do mundo real. Por outro lado, fabricantes de produtos eletroeletrônicos precisam cumprir requisitos ambientais presentes em marcos regulatórios, como a Diretiva RoHS, para poderem vender seus equipamentos em diversos países. O presente trabalho propõe a aplicação de modelos semânticos para ajudar as empresas a cumprir os requisitos estabelecidos pela Diretiva RoHS. O modelo, criado usando uma ontologia de referência, estabelece relações semânticas entre entidades que representam fases do ciclo de vida do produto, estruturas de produtos e objetos de negócios. Processos de negócio modelados permitem identificar fluxos de informação, bem como atividades que estão ligadas aos requisitos RoHS, percebidas por meio da geração de relatórios disponíveis no framework denominado Projeto Essential. O modelo semântico resultante é, portanto, útil para converter as necessidades relacionadas com o meio ambiente, endereçando requisitos através de um processo de desenvolvimento de produtos que aborda a diretiva RoHS. Um produto eletroeletrônico fabricado por indústrias nacionais foi selecionado para demonstrar a viabilidade da solução proposta.
Manufacturing companies need to integrate their internal processes digitally to become more competitive and deliver higher quality products to the consumer market. Information defined at early design stages needs to be recovered at all stages of the life cycle of a product. To accomplish this, information models that incorporate intelligence and enable the representation of the real world are necessary. On the other hand, electronic products manufacturers need to comply with environmental requirements present in regulatory frameworks as the RoHS Directive in order to offer their products in several countries. The present work proposes the application of semantic models for helping companies meet the requirements established by the RoHS Directive. A model, created using a reference ontology, establishes semantic relationships between entities that represent product lifecycle stages, product structure and business objects. Business processes, modeled in the form of activity and information flows, are linked to RoHS requirements that can be viewed through the reports in the Essential Project open source framework. The resulting semantic model is, therefore, useful for converting environment-related needs to design requirements through a product development process that addresses the RoHS Directive. A consumer electronics product has been selected for demonstrating the feasibility of the proposed solution.

This study identifies the Indonesian policies that established large scale, export oriented and externally controlled (LEE)industrialization from the perspective of local people in the industrializing area, the planning that implemented these policies in Central Java and the ways in which the local people's lives are being affected. It identifies the links between the policy and the planning, and between the planning and the impacts. This study is based on data gathered from provincial, municipal and local planners, affected people, factory owners, and workers. LEE industrial development has often been successful in terms of its contribution to Regional Gross Domestic Product (GDP) and to the creation of low wage employment opportunities. However, this success has been accompanied by significant economic, social and environmental impacts on local people. The economic impacts include loss of livelihood and jobs, and decrease of family income. The social impacts comprise the weakening of community cohesion and the disruption of the people's daily lives. The environmental impacts include floods, lack of clean water, water pollution, and air pollution. The impacts of LEE industrialization have been documented by various studies including this one. What has not been adequately analyzed and documented is the process that produces the impacts. This study helps to fill the gap. It concludes that the impacts stem from the following factors. The national development emphasizes large scale and export oriented industrialization. The top-down development planning ensures that this policy is supported at the provincial level regardless of local conditions, needs and priorities. The arbitrary nature of provincial decision-making provides for no popular input. Impact assessment studies fail to provide the information necessary for planners, decision-makers and ideally the local leaders about the likely impacts of industrialization. The way the responsible government agencies solve environmental problems tends to protect factory interests. The impacts are exacerbated by a lack of adequate monitoring and enforcement of environmental regulations. The thesis concludes that substantive policy reform and process restructuring are required to achieve sound planning for industrial development. If quality of life is to be protected and enhanced, industrial policies should be reoriented to strengthening existing local economic activities; and planning restructured to enable local planners and affected people to be fully involved at all stages including impact management.

Current life cycle assessment tools are often deficient in assisting design for sustainable manufacturing efforts. Integrating an improved assessment method into a decision support framework will provide a means for designers and engineers to better understand the impacts of their decisions. A unit process modeling-based sustainability assessment method is presented to assist design decision making by accounting for and quantifying economic, environmental, and social attributes. A set of these sustainability metrics is defined as a basis for comparison of component design alternatives. The method is demonstrated using two titanium component production alternatives that represent typical design for manufacturing scenarios. The modeling method significantly increases the resolution of sustainable manufacturing metrics over conventional assessment techniques, and is one aspect of the overall decision support framework developed. Additionally, fixed sum importance weighting, weighted sum modeling, and scenario analysis were selected as easily employed and transparent design decision techniques to provide the remaining elements of the framework. The demonstration of the decision support framework for titanium component manufacturing illustrates that the sequential approach developed can assist engineers in developing more sustainable components and products.
Graduation date: 2012

Sustainability has been the focus of intense discussions over the past two decades, with topics around the entire product life cycle. In the manufacturing phase, research has been focused solely on environmental impact assessment or environmental impact and cost analysis in its assessment of sustainability. However, few efforts have investigated sustainable production decision making, where engineers are required to concurrently consider economic, environmental, and social impacts. An approach is developed to assess broader sustainability impacts by conducting economic assessment, environmental impact assessment, and social impact assessment at the work cell level. The results from the assessments are then integrated into a sustainable manufacturing assessment framework, along with a modified weighting method based on pairwise comparison and an outranking decision making method. The approach is illustrated for a representative machining work cell producing stainless steel knives. Economic, environmental, and social impact results are compared for three production scenarios by applying the sustainable manufacturing assessment framework. Sensitivity analysis is conducted to study the robustness of the results. For future research, it is desired that a tool which integrates manufacturing information system information and the sustainable manufacturing assessment approach can be built to assist production engineers in considering sustainability performance when making decisions.
Graduation date: 2012

Location is a critical component of business decisions. A firm's location decision may be influenced not only by market forces, such as the location of input suppliers, output processors and competitors, but also by government policies if such policies impact their expected profits and are applied non-uniformly across space. Likewise, a firm may adjust its business strategy, including opening and closing establishments and laying off employees as responses to changes in environmental regulations. In certain polluting industries, location decisions may include choosing potential storage sites for geologic carbon sequestration or finding landfills for industrial solid waste. There is extensive literature discussing the effects of environmental regulations or agglomeration economies on firm location decisions but few studies analyze the interactive effect of environmental regulations and agglomeration economies across regions in the United States. The potential consequences of changes in environmental regulations may include loss of polluting establishments, jobs, and income. Geological carbon sequestration offers long term storage opportunities to mitigate greenhouse gases (GHGs). Incorporating environmental risk into economic assessments of geological sequestration choices is crucial for finding optimal strategies in using alternative carbon storage sites with limited capacity. This dissertation consists of three essays that address the above issues. The first essay examines the interactive effects of air quality regulation and agglomeration economies on polluting firms' location decisions in the United States. Newly available annual (1989-2006) county-level manufacturing plant location data for the United States on seven pollution intensive manufacturing industries are applied in the analysis. Conditional Poisson and negative binomial models are estimated, an efficient GMM estimator is also employed to control for endogenous regulatory and agglomeration variables. Results indicate that births of pollution intensive manufacturers are deterred by stricter environmental regulation; and are attracted by local agglomeration economies. County attainment/nonattainment designations can impose heterogeneous impacts over space and across industries. The magnitude of the regulatory effect depends on the level of local agglomeration. Urbanization economies offset the negative impacts of environmental regulation, whereas localization economies can reinforce or offset the negative impacts of environmental regulation, depending on the industry. The second essay analyzes the effect of changes in regulatory environmental standards on the total stocks of establishments and local jobs and income Results indicate the effects vary across counties in the United States. When the standards were raised to 80 percent of the current level, from 2007 to 2009, the affected counties would lose a total of 326 establishments, 14,711 jobs with $705 million U.S. dollars of income each year. At the national economy level, the impacts of tightening environmental regulations are relatively small. The third essay constructs a dynamic optimization framework that deals with optimal utilization of alternative nonrenewable resource sites (geological formations) with possible negative externalities. We apply the model to an optimal usage problem of alternative long term CO₂ geologic storage sites for carbon. The storage sites are different in terms of capacity and potential leakage after CO₂ injection; the problem is determining the minimum cost for storing a fixed amount of CO₂ (sequestered) within a certain time period. Analytical solutions show the decision rule depends on the discount rate, storage capacities, marginal CO₂ storage costs, and environmental damage costs associated with CO₂ leakage from alternative sinks. The framework provides critical information about the optimal timing of switching from one resource sequestration site to another.
Graduation date: 2013
Access restricted to the OSU Community at author's request from Feb. 1, 2013 - Feb. 1, 2015

Submitted in fulfilment of the requirements of the Master of Technology degree in Cost and Management Accounting, Department of Management Accounting, Durban University of Technology, Durban, South Africa, 2015.
Environmental degeneration, market pressures and stricter regulation and waste legislation has placed organizations under tremendous pressure to change their current processes and adopt cleaner production (CP) techniques and technologies. However, in countries like South Africa, CP implementation still remains low. In light of this problem, the government has made efforts to promote CP among industries by forming a support structure called the RECP (resource efficient cleaner production), as a strategy to encourage organizations to embrace this change and move away from the tradition end-of-pipe technologies towards CP technologies. This study is based on a case study of a paper manufacturing company in Kwadakuza, KwaZulu-Natal. The aim of this study was to use Environmental Management Accounting (EMA) to identify benefits of CP. Paper manufacturing consumes large amounts of natural resources and generates excessive wastes. Hence, the operational activities of paper mills have a negative environmental impact. However, the scope of this study was limited to the steam generation process and focused mainly on the efficiency of the current coal-fired boilers used in the boiler plant. The research methodology used in the study was both quantitative and qualitative involving triangulation. Data was collected by means of a questionnaire, semi-structured interviews and documentary review. The company uses old, obsolete boilers to generate steam. It had been discovered during a cleaner production assessment (CPA) of the process that the process uses large amounts of coal and generates excessive boiler ash (waste). This boiler ash also contains approximately 20 percent unburned coal present resulting in major losses to the company. Furthermore, the company has also experienced regular breakdowns during the year resulting in loss in production and high maintenance costs. Hence, it was concluded that the steam generation process was inefficient and that the boilers were not operating as per technological specification. However, management was unaware of the huge losses incurred due to raw material losses, more especially the coal used in the process. Environmental costs were also inaccurately calculated and thus underestimated. Hence, the ‘true environmental’ costs were not considered during strategic decision making. Over the last two decades, EMA has emerged as an important approach by organizations wanting to improve their environmental and economic performances. However, despite the many pilot projects conducted that demonstrated the positive impact that EMA has on an organization, EMA implementation remains slow and lagging in South Africa. EMA is an environmental management tool that traces environmental costs directly to the processes and products that are responsible for those costs, thereby highlighting problem areas that need to be prioritized when considering the adoption of CP. The literature review on the role and impact of implementing EMA and the benefits of adopting CP was presented to determine and outline views and findings of past researchers. Previous researchers identified that traditional costing systems did not adequately account for the actual environmental costs incurred by companies as much of these costs were hidden under overhead accounts. Hence, production costs were high, resulting in incorrect profit margins being set and ultimately impacting on company profitability. The main cause of this was that non-product output costs were added to production cost instead of being separately recorded as ‘non-product’ output. These costs are actually environmental costs as they represent waste. Material Flow Cost Accounting (MFCA), a tool of EMA, was considered as an appropriate method to implement to accurately calculate non-product output costs. MFCA made managers aware of the true magnitude of their losses and inefficiencies of current technology by increasing the transparency of non-product output costs (environmental costs). MFCA was further used to benchmark non-product output costs against technological standards and best available technological standards to highlight the economic and environmental benefits of adopting CP techniques and technologies. Based on the findings, one recommendation is that the company should consider restructuring their conventional costing system and adopt an EMA system instead. The use of an MFCA model had been suggested. This model was used by the Economy, Trade and Tourism industry in Japan to identify non-product output and improve efficiency of production processes. In addition, findings revealed that the company should implement CP techniques in the short-term to ensure that boilers are functioning according to technological specification. This will result in economic and environmental benefits for the company. However, greater savings potential is available in the long-term, by changing current technology and adopting state-of-the-art technologies. This would, however, require greater investment needs of the company to taken into consideration during strategic decision making.

Text in English
Supply chains incorporate “green” principles in their processes to promote environmental sustainability. Through an online survey, this study investigated green supply chain management (GSCM) implementation and employee awareness of GSCM initiatives in five starch and glucose processing companies in Gauteng. Eighty employees working in management and supervisory positions participated in the study by completing an online questionnaire. The research findings indicated that employees are aware of environmental goals and targets, environmental policies, legislation and standards, and green designing initiatives implemented. Employees perceive that collaboration with suppliers and contractors on environmental issues is in place, however, government partnerships are perceived as being insufficient. Benefits of green marketing campaigns and GSCM initiatives have not been identified. The study noted resistance to change, lack of adoption of technology advancement, insufficient communication and training, and cost implications as barriers hindering GSCM success. It is, therefore, recommended that appropriate support and communication regarding GSCM initiatives are strengthened.
College of Agriculture and Environmental Sciences
M. Sc. (Environmental Management)

The operations of South African SMMEs have significant environmental and social implications, and the implementation of Corporate Social Responsibilities (CSR) practices in these companies is therefore of great value, both environmentally and socially. Implementation of practices of CSR is influenced by the stakeholders of a company and thus by the socio-economic and political context in which the company operates. This study examines the practice of CSR in manufacturing SMMEs in the Pietermaritzburg area, and how this practice is influenced by their stakeholders. This is done through semi-structured interviews with representatives from key local stakeholders and a sample of eight local manufacturing SMMEs. The study shows that manufacturing SMMEs in the Pietermaritzburg area have implemented a wide variety of CSR practices and that they are managing and interacting with their stakeholders in a sophisticated manner. The studied companies do in general have a limited understanding and narrow interpretation of CSR, and CSR is often confused with Corporate Social Investment (CSI) as it is described in the South African Broad Based Black Economic Empowerment (B-BBEE) scorecard. The companies do, however, practise CSR in a number of ways. The companies have implemented practices that address all of the CSR issues examined in this study: Labour issues, B-BBEE, HIV/AIDS, environmental issues and community outreach. The nature of, extent of, and motivation for these activities do, however, vary considerably. The results of the study reveal that the motivation for undertaking practices of CSR generally can be attributed to influence from the stakeholders of the examined companies. In this study the stakeholders were identified on the basis of a contextual analysis, and the stakeholder model of Donaldson and Preston was grouped into: Civil society stakeholders and communities, Government stakeholders, Stakeholders affiliated with the companies, and Business stakeholders. All groups of stakeholders were found to be exerting a significant influence on the CSR practices undertaken by the examined companies. The degree of influence varies amongst the different stakeholders and practices, and some of the CSR practices had been undertaken as a result of influence from several stakeholders. A few of the CSR practices undertaken by the interviewed SMMEs can be attributed to influence from the local key stakeholders that were interviewed in this study. It is also possible to find examples of companies implementing CSR practices as a result of local stakeholders combining their efforts. The study shows that SMMEs in the Pietermaritzburg area are responsive to their stakeholders and that the practice of CSR is greatly influenced by what the companies consider to be their stakeholders’ concerns. The interviewed local stakeholders have, however, only a limited influence on the SMMEs. It is therefore likely that the stakeholders can deepen the practice of CSR in local SMMEs by co-operating and thus increasing one or more of their stakeholder attributes: power, legitimacy, and urgency. The study has contributed to a greater understanding of the role of stakeholders in influencing CSR practice in South African SMMEs and has revealed important hints on how this influence can be strengthened and directed through government activities and other stakeholder alliances.
Thesis (M.Sc.)-University of KwaZulu-Natal, Pietermaritzburg, 2011.