Evaluation of Practicing sustainable Industrial Solid Waste Minimization by Manufacturing Firms in Malaysia: Strengths and Weaknesses.

Malaysia is facing an increasing trend in industrial solid waste generation due to industrial development. Thus, there is a paramount need in taking practical actions and measurements to move toward sustainable industrial waste management. The main aim of this study is to assess practicing solid waste minimization by manufacturing firms. Analysis showed that majority of firms (92%) dispose of their wastes rather than utilize other sustainable waste management options. Also, waste minimization methods such as segregation of wastes, on-site recycle and reuse, improved housekeeping, and equipment modification were found to have significant contribution to waste reduction (p < 0.05). Lack of expertise (M = 3.50), lack of enough information (M = 3.54), lack of equipment modification (M = 3.16), and lack of specific waste minimization guidelines (M = 3.49) have higher mean score comparing with other barriers in different categories. These data were interpreted for elaborating on SWOT and TOWS (strengths, weaknesses, threats, and opportunities) matrix to highlight strengths, weaknesses, threats, and opportunities. Subsequently, ten policies were recommended for improvement of practicing waste minimization by manufacturing firms as the main objective of this research.

The growth of the world's population, coupled with increasing urbanization, and rising standards of living, have all contributed to the increase in solid waste generation. Solid waste disposal is becoming a difficult problem for many countries. Thus, efficient recycling of solid wastes is now a global concern for a sustainable solid waste management. Solid waste minimization is one of the ways of reducing the quantity of wastes for disposal. This study examines the perception of households towards solid waste minimization. 100 respondents were randomly selected from Section 7 housing area in Shah Alam city, Malaysia. Descriptive statistical technique was used in analysing the data. Findings from the study showed that respondent's knowledge on waste minimization was above average. However, their level of knowledge as revealed further by the results is not in tandem with their attitude on waste minimization, which suggests that their attitude towards waste minimization is low. People who showed higher knowledge do not necessarily show concern or perform in solid waste minimisation. Therefore, local authorities must develop appropriate policy strategies to change the attitude and behaviour towards waste minimisation if they are to reach their statutory targets.

With rapid industrialization, continuous economic development, increasing population and living standards, the amount of general industrial solid waste generated in Kunming has increased continuously from 2001 to 2011. In 2013, the total general industrial solid waste generation was 33.19 million tons, deceased by 9.59% over 2011. The disposal and comprehensive use amount of general industrial solid waste in Kunming has increased dramatically from 2001 to 2013, and the disposal and comprehensive use rate of industrial solid waste increased fast from 64.39% in 2002 to 97.68% in 2013,but the comprehensive use rate of general industrial solid waste has not increased largely. Kunming’s general industrial solid waste treatment capacity has obvious difference from generation capacity, the produced industrial solid waste each year has the utilization of nearly 40%, with about 60% of the solid waste we cannot use. The disposal and comprehensive use rate of general industrial solid waste is different in different region of Kunming. Although the resource utilization of general industrial solid waste has made some progress in Kunming, the technical level is still very low compared with developed region, specially, the comprehensive utilization rate of phosphogypsum and tailings was not beyond 17% in 2013. Thereafter, much still can be done to improve the treatment and disposal of industrial solid waste in Kunming.

Industrial clustering can be used to improve the impact of green manufacturing practices in industry by enabling reduced energy and water consumption levels, solid waste and wastewater minimisation strategies and enabling increased participation in corporate social responsibility activities. This chapter assesses the performance of the Old Ardbennie Industrial cluster in Harare, Zimbabwe. Levels of water and energy savings, solid waste minimisation, wastewater reduction and corporate social responsibility achievements by members of the cluster are determined through both questionnaire surveys and interviews, in addition to monitored data. An inference was also carried out using cross-tabulations to determine whether there is relationship between participating in cluster activities and achievement of targets. The results show that the cluster had 15.76% savings in water consumption. However, effluent management by cluster members was still poor with most companies using the municipality pipes for untreated effluent disposal. Potential for trading in waste was identified. Reduction in solid waste was 2.71% and no effective reduction in energy consumption was observed. In general, cross-tabulation results showed that a positive relationship existed between participation in cluster activities and achievement of green manufacturing.

Analysis of driving factors on China's industrial solid waste generation: Insights from critical supply chains

This paper documents major solid waste minimisation (SWM) practices, challenges, and recommendations identified in an environmental sustainability case study. The analysis was performed in the 3,530 room Flamingo Hilton Resort and Casino (LVFH) in Las Vegas,Nevada,USA.The city's 29 million tourists a year leave behind mountains of dollars... and garbage. The main research contributions are the SWM hierarchy, and the study's documentation of corporate actions and attitudes relating to waste minimisation in an urban tourism setting. Resort areas studied ranged from reprographics to guest rooms. Selected findings and recommendations of this study are presented according to a five level hierarchy for waste minimisation, from most to least critical. The first and most fundamental hierarchy level is commitment to environmental goals such as conservation and environmental protection from tourism's negative impacts. Levels two through four are critical sub-strategies of source reduction. Level two necessitates applying eco-intelligence within purchasing policies and activities. Level three involves the source reduction principles of using and wasting less through such practices as using electronic communications. Re-fillable packaging is an example of level four; re-use. To avoid final disposal, level five requires recycling.

Amid China's rapid economic expansion, the country's industrial solid waste (ISW) problem is escalating. As each sector generates distinct types of ISW, a multi-indicator assessment of each sector is essential to address China's New Solid Waste Policy. To investigate the ISW situation of each sector and perform a comprehensive assessment, we formulate an industrial solid waste ecological analysis framework based on ISW generation and ISW flow in the sector. Various indicators (i.e., solid waste utilization coefficient, solid waste threat coefficient, and solid waste threat intensity) are employed to assess the utilization of solid waste generated for each sector, as well as the threat of solid waste originating in each sector to society. Ecological network analysis probes the interrelationships between diverse sectors. Taking Shanghai in 2017 as an example, the study indicates that some sectors (e.g., production and supply of electric power and heat power (EH) and metal smelting and rolling processing sector (MS)) exhibit higher direct ISW generation and the direct industrial solid waste value-added coefficient (SVAC) for common industrial solid waste (CISW). Specifically, the direct CISW generation of EH and MS is 539.21Mt and 277.00Mt respectively. The direct SVAC of EH and MS is 157.06kg/103RMB and 126.27kg/103RMB respectively. These sectors should prioritize reducing emissions at the source. Additionally, the threats to society from various sectors are relatively insignificant for the CISW, while for the hazardous waste (HW), all sectors pose a considerable threat to Shanghai's society. Moreover, some sectors (e.g., mining industry) exhibit the highest mutualism relationships in the CISW and the HW. Enhancing mining sector technologies is a vital strategy for mitigating ISW sources. Specifically, MI has 9 pairs of mutualism relationships in the CISW and 8 pairs in the HW. These insights will provide empirical evidence for tackling the ISW problem in Shanghai.

Maintaining public health requires a clean environment; however, some industrial wastes can damage the water, atmosphere, and living environment seriously. To promote green development, policy makers in China have developed and implemented strict environmental regulations to limit the pollutant emissions and improve the environmental quality. Industrial producers implement research and development (R&D) activities to gain more profits in competitive markets. A comprehensive understanding of the green effects of R&D on different industrial wastes could provide important policy recommendations, especially regarding the coordination of innovative and green developments. In this study, the author empirically analyzed the influence of R&D input, including the intramural expenditure on R&D and full-time equivalent of R&D personnel, on industrial wastes, including the discharge of chemical oxygen demand (COD) and ammonia nitrogen, emission of sulfur dioxide, nitrogen oxides, and particulate matter, and generation of common industrial solid and hazardous wastes, based on the data from Chinese industrial sectors for 2016–2020. The main findings of empirical analyses were robust and indicated that R&D activities significantly reduced the emissions of all three industrial waste gases and decreased the discharge of COD; however, in the case of China, the partial effects on the discharge of ammonia nitrogen and the industrial solid wastes were not statistically significant. The green effects of R&D on different industrial wastes may vary and generally depend on environmental regulations, with various limitations. The most viable policy recommendations indicate that by expanding and initiating the green effect of R&D on different industrial wastes, innovative and green developments are more likely to be achieved in a coordinated manner. Additionally, this can also support special R&D activities, with the added benefit of actively developing cleaner technology to treat pollutant emissions. Development, while maintaining a clean environment to ensure public health, could be more sustainable if innovative activities reduce the production of industrial wastes. This study analyzes the green effects of R&D on industrial waste and can serve as a viable framework for future studies on sustainable development.

The research in this thesis is motivated by the large amount of domestic solid waste at PT. X, especially in the warehouse and office areas, there is also some solid waste at PT. X has not been managed effectively is the reason PT. X implements green house and office programs as an effort to minimize existing domestic solid waste. The formulation of the problem in this study is how the effect of implementing green warehouse and office programs in minimizing domestic solid waste (garbage). While the purpose of this study is to determine the application of the werehouse and office programs to minimize domestic solid waste (garbage generation) and to find out the responses of employees and janitors regarding green warehouse and office program activities in minimizing domestic solid waste (garbage) at PT. X.The research approach used in this study is a quantitative and qualitative approach. Data collection techniques using primary data and secondary data. While the population used is all solid waste generated in the warehouse area and office space of PT. X every day then in taking samples using stratified sample techniques and simple random sampling. The results of the study show that the application of minimization of domestic solid waste (garbage generation) is carried out by PT. X with green warehouse and office programs starting from different containers with the provisions of SNI 19-3983-1995, solid waste collection is carried out routinely, namely in the afternoon, solid waste transfers from 15.00 to 17.00 and solid waste treatment is disposed of to the area. Area by carrying out waste bank activities. The application of domestic solid waste minimization at PT. X is already running but not in accordance with existing regulations. Green warehouse and office programs in the minimization of domestic solid waste (garbage) starting from storage in the office space area according to employees and cleaning staff produce organic solid waste and paper. In the office space area, which is in room 2 by 40%, in room 3 by 20% and in room 4 by 60%, while in the warehouse area, which is in the admin room by 20%, the relocation has been implemented well by the cleaners.

The Yangtze and Yellow River basins play a critical role in China's economic and social development as well as ecological security. As a key ecological barrier in the upper reaches of these rivers, Aba Prefecture has faced questions about whether its economic development after the 2008 earthquake has impacted its ecological environment. This study uses the Environmental Kuznets Curve (EKC) to analyze the relationship and characteristics between per capita GDP and the ecological environment in Aba Prefecture from 2010 to 2021. The aim is to provide scientific evidence for promoting the coordinated development of the economy and environment. The analysis employed the ADF test, Engle-Granger cointegration analysis, and correlation tests on the data. Finally, regression curve fitting was used to derive the relationship between per capita GDP and key environmental indicators in Aba Prefecture. Per capita GDP in Aba Prefecture is highly negatively correlated with industrial wastewater discharge, highly positively correlated with domestic sewage discharge, positively correlated with industrial solid waste generation, and uncorrelated with industrial dust emissions. There exists a long-term equilibrium relationship between per capita GDP and both industrial wastewater discharge and industrial solid waste generation, indicating mutual influence and co-variation over time. The EKC curve in Aba Prefecture does not fully align with the traditional EKC model. Specifically, the relationship between per capita GDP and industrial wastewater discharge exhibits an "N" shape, while the relationships with industrial solid waste generation and domestic sewage discharge are linear and upward. There is no relationship between per capita GDP and industrial dust emissions. The relationship between the economy and the environment in Aba Prefecture exhibits a certain level of complexity. To achieve a long-term win-win outcome of both economic growth and environmental protection, it is essential to further deepen the transformation of the industrial structure, strengthen environmental governance measures, and optimize policy implementation.

Hospitality solid waste minimization: a global frame

Industrial solid waste (ISW) accounts for the most significant proportion of solid waste in China. Improper treatment of ISW will cause significant environmental pollution. As the basis of decision-making and the management of solid waste resource utilization, the accurate prediction of industrial solid waste generation (ISWG) is crucial. Therefore, combined with China’s national conditions, this paper selects 14 influential factors in four aspects: society, economy, environment and technology, and then proposes a new prediction model called the principal component analysis nonlinear autoregressive back propagation (PCA-NARBP) neural network model. Compared with the back propagation (BP) neural network model and nonlinear autoregressive back propagation (NARBP) neural network model, the mean absolute percentage error (MAPE) of this model reaches 1.25%, which shows that it is more accurate, includes fewer errors and is more generalizable. An example is given to verify the effectiveness, feasibility and stability of the model. The forecast results show that the output of ISW in China will still show an upward trend in the next decade, and limit the total amount to about 4.6 billion tons. This can not only provide data support for decision-makers, but also put forward targeted suggestions on the current management situation in China.

Evaluating greenhouse gas emissions and energy recovery from municipal and industrial solid waste using waste-to-energy technology

Industrial solid waste management through sustainable green technology: Case study insights from steel and mining industry in Keonjhar, India

Objective: The general objective of this study is to analyze the governance and challenges of the carbon credit market, focusing on the comparison between industrial waste and solid waste in Rio de Janeiro. To achieve this objective, the following specific objectives were established: to examine the history and evolution of the carbon credit market; to analyze the global and Brazilian energy scenario and its impact on the greenhouse effect; to investigate the principles of the Clean Development Mechanism (CDM) and its applications; and to evaluate the management of solid and industrial waste in the context of carbon credit. Theoretical Framework: In the early 1980s, the idea of exchanging the national debt of developing countries as a means of preserving natural resources emerged, establishing a model for carbon credits (Albuquerque et al., 2021). Carbon credits are one of the strategies adopted at national and international level to mitigate the increase in greenhouse gas concentrations in the atmosphere. Method: The methodology adopted for this research involves analyzing the governance and challenges of the carbon credit market, with a focus on comparing the management of industrial waste and solid waste in the state of Rio de Janeiro. Comparative analysis is a central part of the study, which examines the differences and similarities in industrial and solid waste management, with the aim of understanding how these practices impact the carbon credit market. Results and Discussion: The results show that the information presented on urban solid waste management in the state of Rio de Janeiro reveals a challenging scenario that requires coordinated action between the state, municipalities and the various sectors of society. The average generation of solid urban waste per capita is 1 kg per day, totaling approximately 6,596,840.90 tons per year in the state (Inea-RJ, 2023). The inadequate disposal of this waste over the decades has caused environmental, social and economic problems. Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of governance in the carbon credit market in the context of solid and industrial waste management in the state of Rio de Janeiro, demonstrates that inadequate waste management has been a challenge, generating environmental impacts and limiting the potential for recovery and reuse of materials. In a scenario where the average generation of urban solid waste per capita is 1 kg per day, totaling approximately 6,596,840.90 tons per year, the implementation of sustainable solutions, such as the creation of a carbon credit market, can offer viable alternatives to mitigate these problems. Originality/Value: This study contributes to the literature as the governance and challenges of the carbon credit market in the context of waste management in Rio de Janeiro reflect the complexity of the interactions between production, consumption and disposal. The implementation of integrated policies and the promotion of sustainable practices are essential to overcome current challenges and create opportunities for economic and environmental development.