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This paper aims to examine the causal relationship between liquefied petroleum gas consumption and economic growth in Cameroon over the period from 1975 to 2016.

The methodology of this study is based on the unit root, cointegration and causality tests. Cointegration is performed with both Johansen and autoregressive distributed lag bounds approach, while causality is done with the Granger test based on the error correction model (ECM) and Toda-Yamamoto procedure.

The cointegration methods confirm the existence of a level relationship, whereas the causal tests of the ECM reveal the existence of a short-run unidirectional causal relationship ranging from liquefied petroleum gas (LPG) consumption to economic growth and a bidirectional causal relationship between long-term and high-causality variables. With the Toda-Yamamoto procedure, unidirectional causality is found to run from economic growth to liquefied petroleum gas consumption.

These findings imply that an increase in liquefied petroleum gas consumption leads to an increase in economic growth. As a result, supporting energy efficiency policies that aim to reduce liquefied petroleum gas consumption is not an option for Cameroon. Given that LPG consumption shares are still low in Cameroon, the government ought, thus, to increase LPG subsidization, vulgarize and favor policies aimed at encouraging LPG consumption to increase LPG deposits nationwide. This would help increase LPG consumption and consequently could increase economic growth in Cameroon.

LPG is a fossil fuel and is the less GHG emitter and it is considered as a modern source of energy for cooking in Cameroon households. It scarcity calls on energy policymakers to question the influence LPG consumption could have on economic growth in the short- and long-run. Thus, this paper could contribute to solving the issue of deforestation in Cameroon, especially in the Sahel zone; through the substitution of firewood consumption by LPG consumption in households.

One of the factors that determines the success of marketing a product is a distribution strategy. Several factors affect distribution such as the number of products, the nature of the products, the size of the area, transportation facilities, communication facilities, company factors, cost factors, and market conditions. The authors realized the absence of research on distribution management on a product such as the 3-kg liquefied petroleum gas (LPG) aimed at reaching the poor in Indonesia. The use of LPG as fuel is considered relatively cleaner because pollution is less when compared to kerosene fuel. This research was conducted in Salatiga, a small town in the province of Central Java, Indonesia. This research applied descriptive statistics in the form of the distribution frequency and crosstabs, as well as multiple regression. This research revealed that the 3-kg LPG distribution is very intensive, spread in almost all places including shops or stalls in both urban and rural areas. The choice of using 3-kg LPG tubes is not only because the price is low and is subsidized by the government but also because of the custom that has been instilled by the government when encouraging people to convert kerosene to LPG.

The purpose of this paper is to demonstrate the development of key supply chain capabilities in the Indian public sector-run liquefied petroleum gas (LPG) supply chain. This case study has relevance to emerging markets grappling with problems caused by monopolies and subsidies. Furthermore, this case study not only aims to improve operations of the LPG supply chain, but also re-designs its supply network to meet customers’ expectations. It illustrates value creation through growth in non-domestic sales, a reduction in consumption of subsidized LPG as a consequence of better understanding of customer needs and customer diversity, process re-engineering and deployment of ICT systems, and change management and capability building across various LPG stakeholders.

An interpretive research methodology is applied, using an illustrative single case study of the Indian public sector-run LPG supply chain. The research methodology is iterative and exploratory in nature, consisting of a back and forth process between extant literature and the field, as well as in-depth discussions/interviews with senior management, distributors, and consumers.

Key supply chain capabilities of an integrated and seamless ICT system, detection and blocking of duplicate/ghost connections, the capping of entitlements, and coordination and collaboration across various stakeholders result in value creation for all stakeholders. When such collaboration across stakeholders’ spans both vertically and horizontally through the supply chain, change management and capability building drive value creation through policy interventions and initiatives.

This study provides an illustrative example of meeting customers’ expectations, increasing consumer convenience, and improving service levels, amidst the complex subsidy challenges in LPG distribution in India. The economic and environmental benefits, as well as increased customer satisfaction, from policy interventions regarding value creation in supply chains, have implications for similar public sector-run schemes.

As a result of the various policy changes, the LPG subsidy was restricted to legitimate customers, reducing the fiscal burden on the Indian Government. Furthermore, seamless ICT-introduced efficiencies for government, distributers, and customers were attained.

This research articulates the capture, creation, and appropriation of value through the deployment of new supply chain initiatives in a large, complex environment, in particular the public sector-run LPG supply chain.

Diffusion of a new technology and its required infrastructure is a complex process involving various adaptive decision makers interacting with each other, and this is extremely true in diffusion of alternative fuel vehicles. The purpose of this paper is to explore the dynamics of alternative fuel vehicles/infrastructure diffusion through a case study about the diffusion of NGVs (natural gas vehicles) in Shanghai, China.

This paper first provides a case study of the adoption of NGVs in Shanghai; then the major infrastructure and economic indicators, obstacles in the market penetration process are analyzed. Finally, an agent‐based model is established to simulate the diffusion of NGVs in Shanghai.

The findings show that several factors limited the adoption of NGV in Shanghai. The initial distribution of refueling stations can be critical to determining whether the technology/infrastructure system survives to become mature and successful. Therefore, the strong support offered to consumers and equipment suppliers from government is important for the market penetration. These findings are also applicable to other alternative fuel vehicles such as hydrogen.

Little real‐world observations have been carried out on the dynamics of alternative fuel vehicles/infrastructure. The paper can enrich people's understanding about the dynamics of diffusion of alternative fuel vehicles/infrastructure and gives policy implications for initializing and keeping a successful demonstration project.

This study aims to develop a price policy for fossil fuel consumption, as it is an effective instrument to manage the demand-side of energy economics.

This research estimates the demand elasticities of diesel, gasoline, fuel oil and kerosene by using static, dynamic and error-correction models in log-linear form.

The findings show that fossil fuel demand responds to price changes less than income changes, as fuel price is inelastic, but income is elastic. In that respect, the impact of price change decreases constantly with increasing energy price, followed by subsidy reform. Subsidy removal and price policy reformation is the UN recommendation for subsidizing countries, including Iran, to reduce fossil fuel consumption, whose intensity depends on the price elasticities.

As a result of this price policy, diesel, gasoline and liquefied petroleum gas prices should increase at least 1.8%–7.3%, 4.4%–6.4% and 7%–8.6%, respectively, and gradually within 2018–2030. The price policy improves all the pillars of sustainable development, including economy, environment and social (health). Overall, such a target can potentially save 3%–29% of diesel, 34%–56% of gasoline and 15%–20% of liquefied petroleum gas, as well as reduce 15%–40% of CO₂ emissions annually, and can save potentially more than 510,000 lives annually. Thus, the energy price policy can fundamentally improve sustainability.

The estimated elasticities outline the required prices to decrease the fossil fuels, according to the UN mitigation targets, as price policy recommendation.

The purpose of this paper is to present a comprehensive review of the programmes being implemented with a view to ascertaining if they adequately address the energy needs of the poor more holistically and sustainably.

The content of this desktop review is based on information collected through a review of available energy policy documents from the Ghana Government and related governmental agencies, such as the Energy Commission and Ghana Statistical Services, international energy-related agencies, such as the International Energy Agency (World Vision, 2013), as well as other related web searches. Additionally, global and Sub-Saharan African energy access documents were reviewed by analysing secondary data from the World Bank and UN policy reports, statistical data, strategies, regulations, protocols and other related documents (World Vision, 2013). Furthermore, some policy documents on energy access and usage were explored mainly from Senegal and Ghana to ascertain governments’ policies, regulations and strategies in the implementation of energy access policies.

The paper offers all the various strategies being implemented in an attempt to establish a foothold on the problem of affording the poor with clean and affordable energies. The paper also presents the rich experiences of Senegal in its bid to see expanded access in liquefied petroleum gas usage by residential consumers.

The paper provides some policy and theoretical implications for improving Ghana’s energy access.

Conventional statistical forecasting methods typically need a large sample size or the use of overly confident hypotheses, like the Gaussian distribution of the input data. Unfortunately, these input data are frequently scarce or do no not follow a normal distribution law. A grey forecasting model can be developed and used to predict energy consumption for at least four data points or ambiguous data based on grey theory. The standard grey model, however, may occasionally result in significant forecasting errors.

In order to reduce these errors, this paper proposes a hybrid multivariate grey model (namely Grey Modeling (1,N)) optimized by Genetic Algorithms with sequential selection forecasting mechanism, abbreviated as Sequential-GMGA(1,N). A real case of Cameroon's oil products consumption is considered to demonstrate the effectiveness of the proposed forecasting model.

The results show the superiority of Sequential-GMGA(1,4) when compared with the results of competing grey models reported in the literature, with a mean absolute percentage error as low as 0.02%.

Without changing the model's basic structure, the suggested framework completely extracts the evolution law of multivariate time series. Regardless of data patterns, Sequential-GMGA(1,4) actively enhances all model parameters over the course of each predicted timeframe. Consequently, Sequential-GMGA(1,4) improves forecast accuracy by resolving the discrepancy between the model's least sum of squares of prediction errors and the parameterization approach based on grey derivative.

India’s manufacturing sector employs about 12% of the labour force and contributes to about 17% of the nation’s GDP. The Indian government intends to implement several initiatives under the “Make in India” and Atma Nirbhar Bharat banners to increase the manufacturing sector’s share of the nation’s GDP to 25% by 2025. Applying lean manufacturing, green manufacturing and Six Sigma is crucial to ensure that India’s manufacturing sectors grow sustainably in international markets. This study aims to identify sustainability indicators and ascertain their respective weights to evaluate the sustainability performance of the Indian manufacturing industry.

This research identifies 25 sustainability indicators and classifies them into the triple bottom line of sustainability based on an evaluative literature review and expert opinion. The Best Worst Method was utilised to determine the weights of the sustainability indicators. The sustainability index was developed to evaluate economic, social and environmental sustainability.

The sustainability performance of a foundry in a significant Western Indian State city was assessed by applying the developed sustainability index. After the adoption of integrated lean, green and Six Sigma (LG&SS) strategies and related practices in the foundry, there has been a notable improvement of 68.03% in the economic index, 61.62% in the social index and 13.24% in the environmental index.

The proposed sustainability index is applied and evaluated specifically for assessing the sustainability performance of Indian manufacturing SMEs. It can be used to substantiate firm’s sustainability performance and also to assess the improvement in firm’s performance in economic, environmental and social dimensions after implementing various operational excellence practices. However, it cannot serve as a benchmark tool across similar companies or organisations.

The developed sustainable index can be used to analyse the company or organisation’s sustainability performance and see how various strategies have improved things. Practitioners can use this index to assess social, economic and environmental performance and focus on areas that need improvement.

The proposed sustainability index serves as a vital tool for monitoring a firm’s progress in triple bottom line (TBL) dimensions of sustainability, tracking a diverse range of indicators and encouraging sustainable organisational practices.

This study attempts to assess the economic, social and environmental performance of Indian Manufacturing SMEs by proposing a sustainability index.

This study examines the temporal trends and determinants of household cooking fuel choices in India. Access to affordable, reliable, clean cooking fuels is crucial for improving household health and mitigating environmental issues. However, a significant portion of the population in developing countries, including India, still relies on traditional solid biomass fuels, leading to adverse health impacts. Using data from India Human Development Survey conducted in 2005 and 2012, this research analyzes changes in fuel choices. It explores the influence of socio-demographic characteristics, education, and accessibility on these choices over time. The findings reveal a gradual transition toward mixed fuel usage but a limited reduction in the use of dirty fuels, indicating the challenges in achieving cleaner cooking practices. Education is a crucial driver of fuel choices, highlighting the need for targeted educational campaigns. Age and household size also play significant roles, with older household heads and larger households exhibiting different fuel preferences. The availability and cost of firewood and kerosene influence fuel choices. The study also suggests developing educational campaigns, improving the availability and affordability of clean cooking fuels, and tailored strategies for larger households. These findings provide guidance for policymakers in promoting the adoption of cleaner cooking fuels and improving household air quality and public health in India.

This research paper aims to examine the asymmetric impact of income and price on household consumption of kerosene in Cameroon.

The methodological approach consists of testing for stationarity using the augmented Dickey–Fuller and Andrews and Zivot tests, determining cointegration using nonlinear autoregressive distributed lag (NARDL) test approach and finally examining asymmetry using the Wald test.

Results of the stationarity tests reveal that variables are all integrated of order less than two I(2). The NARDL approach indicates that the (positive and negative) income shock and the positive price boom negatively influence consumption in the long- and short-run. The same is true for the negative price shock, but the latter remains insignificant. Furthermore, the Wald test carried out in the study confirms that the cumulative effects of the positive and negative income and price shocks are asymmetric.

The increase in the price of kerosene due to the lifting of subsidies has led to a decrease in household consumption and an unfortunate increase in the loss of tree cover in Cameroon. According to the results, this phenomenon will persist even if the price is reduced. Actions aimed at reducing its production at the expense of liquefied petroleum gas, electricity and renewable energy should be encouraged to limit the loss of vegetation cover. Thus, this study could contribute to solving the problem of deforestation and desertification in Cameroon.