Green Technology Investment Research Articles

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO2 emissions: A Quantile–on–Quantile technique

As Nigeria progresses towards reaching net‐zero emissions by 2060, it is crucial to identify the factors responsible for environmental deterioration and those that enhance ecological well‐being. It is equally significant to emphasize that Nigeria's economy is heavily dependent on fossil fuels, which have proven unsustainable and environmentally unsafe. As a result, this research investigates the impact of energy intensity (EINT), renewable energy consumption (RENC), globalization (GLOX), technological innovation (TINV) and carbon dioxide emissions (CO2) in Nigeria from 1990Q1–2019Q4. The methods employed include Quantile–on–Quantile (QQ) and non–parametric causality. The QQ method reveals that EINT has both positive and negative impacts on CO2, varying in magnitude from 3 to −5. Higher quantiles of RENC tend to influence CO2 positively, whereas the lower quantile has a negative impact. Negative shocks of GLOX on CO2 have less impact, with a maximum magnitude of −1 at the upper quantile of CO2. In contrast, the positive shocks seem to have a stronger impact and vary in magnitude. TINV has negative shocks across all quantiles. In addition, a significant causality is observed in the upper, middle and lower quantiles. This study suggests that policymakers should implement policies encouraging investments in renewable energy and green technologies.

An evolutionary game model of manufacturers and consumers’ behavior strategies for green technology and government subsidy in supply chain platform

With an increasing emphasis on sustainability and environmental conservation in recent years, a discernible global paradigm shift has occurred. This transformation has engendered a heightened interest in advancing the adoption and integration of green technologies across a spectrum of sectors, including supply chains. The main objective of this research is to analyze how stakeholder participation in the adoption of environmentally friendly practices can be strengthened in an appropriate platform supply chain environment. Firstly, this paper considers the impact of government subsidies and green technology investment on manufacturers, the government, and consumers in the supply chain market model. Secondly, a three-party evolutionary game model is constructed for the government, manufacturers, and consumers, and the equilibrium results are analyzed. In order to further uncover the factors influencing the cooperation of these parties, we conducted sensitivity analyses on two parameters: government subsidies and government subsidies for consumers to purchase green products. The principal findings can be summarized as follows: (1) Government subsidies wield a positive influence on the behavioral strategies of the three entities, motivating manufacturers to invest in green technology and propelling consumers towards the adoption of green products. (2) In comparison to direct subsidies bestowed upon manufacturers, an amplification of government subsidies for consumers exerts a more profound impact in spurring manufacturers to invest in green technology. These insights also furnish a deeper understanding of the decision-making mechanisms employed by stakeholders within the green supply chain.

Unraveling the environmental Kuznets curve: interplay between [Formula: see text] emissions, economic development, and energy consumption.

The study investigates the complex interplay among [Formula: see text] emissions, energy consumption, and economic growth in China, employing the Environmental Kuznets Curve (EKC) framework to analyze the dynamics from 1990 to 2022. The research contributes to the urgent need for sustainable development by filling important gaps in comprehending China's specific challenges and potential and considering the relationship between economic advancement and environmental quality. This study utilizes advanced econometric tools, including the AutoRegressive Distributed Lag model, Vector Error Correction Model, and AutoRegressive Integrated Moving Average, to comprehensively examine the complicated relationship between variables, considering both short-run and long-run dynamics. The study supports the EKC concept, suggesting that targeted measures can reduce environmental degradation as China's economy advances. Strategic policy recommendations include emission reduction targets, investments in green technologies, and promoting sustainable consumption patterns. Furthermore, transitioning from fossil fuels to cleaner energy aligns with global climate objectives. This research provides valuable insights for policymakers, emphasizing the interconnected nature of energy consumption, [Formula: see text] emissions, and economic growth in shaping China's sustainable future.

Green Technology Investment Strategies Under Cap-and-Trade Policy

This article aims to address methods for reducing carbon emissions by investigating the green technology investment behavior of enterprises under cap-and-trade regulation and governments’ cap-and-trade policy design mechanisms. Considering that investments are long-term, we developed a two-period green technology investment model for a manufacturing firm facing carbon-sensitive demand in a cap-and-trade regulated market. Our findings show that the firm's investment strategy depends on trade-offs between the gains from selling low-carbon products and the costs of investing in technology. Such trade-offs are affected by consumers’ carbon emissions sensitivity, the unit carbon emission trading price, and the firm's investment efficiency across two periods. The first-period optimal free allowance allocated to the manufacturer is unique, but the second-period optimal free proportion is not unique as it is decided by the unit carbon emission trading price. In addition, the firm's chosen investment strategy based on the optimal carbon policies can create a mutually beneficial situation for the manufacturer, consumers, and society, which shows that the government-designed carbon policies, including the first-period free emissions allowance and the second-period free proportion, are effective. Our study results can aid manufacturers in making wise, strategic, and operational decisions about green technology investment and provide guidance on carbon quota allocation policies that promote the development of low-carbon economies.

Two-Warehouse Economic Order Quantity Model with Controllable Greenhouse Gas Emissions

Nowadays, people from across the globe are very much concerned about the adverse effects of global warming due to greenhouse gas emissions. To control the effects of these emissions, almost all countries are investing in projects that address the adverse effects of emissions. Again, to avoid the limited capacity of the available warehouse, many retailers include a second warehouse, preferably for rent, under the assumption of the limitless capacity of the rented one. This work considers a two-warehouse deteriorating inventory model for a time-dependent demand function with an optimum investment in green technology (GT) to control the emission due to transportation considering shortages caused by partial backlogging. The solution to the model problem is carried out to find the optimum cycle length and minimum total cost by taking an appropriate numerical example, and graphical explanations are mentioned for the model problem. Again, for validation purposes, sensitivity analysis is provided concerning some parameters that have significant impacts on the different objectives of the model. MATLAB software carries out all the numerical computations, and finally, it concludes with conclusions and scope for future research.

Особливості управління тарифоутворенням у контексті «зеленої» економіки

The article determines that modern energy is mostly based on non-renewable primary energy sources. Therefore, the formation of renewable energy plays an important role today. It is noted that Europe and the world have identified a green economy and climate-neutral energy as a benchmark for their development. Attention is focused on the consideration that under such conditions of development, the issue of tariff setting in the context of the green economy plays a key role in the transformation of the energy system and support of the green economy, since effective tariff setting helps to attract investment in green technologies, ensures the economic attractiveness of renewable energy projects and stimulates energy efficiency. Based on the carried out analysis of scientific publications, it is concluded that tariff setting in the context of the green economy is considered through the prism of economic incentives, environmental benefits, political support and social perception, highlighting its relevance in the context of global efforts to transition to sustainable energy. It is determined that today the problems of instability of tariff policy, in some cases economic inefficiency of tariffs, social inequality, complexity of regulation and administration and a number of others remain unresolved. Addressing these challenges is critical to ensuring an effective and sustainable tariff policy that promotes the development of a green economy and renewable energy sources. It is determined that due to the imperfect, but effective at the moment model of the green tariff, the number and capacity of renewable generation in Ukraine has been steadily growing over the past 10 years. A number of problems that exist today in tariff setting in the context of the green economy from the point of view of its management in Ukraine have been identified and specific features of tariff setting in the context of the green economy have been formulated. Each of the identified specific features of tariff formation of the green economy is characterized and the authors’ own mathematical model of formation of the general tariff of the green economy is proposed. It is concluded that the features of tariff setting in the context of the green economy require an integrated approach to management, and promising in this direction are studies on clarifying each component of the base tariff, determining the basis for calculating each component, further adjustment of the tariff taking into account regional features and other aspects of pricing in the field of renewable energy sources.

Effect of green technology investment on crude oil inventory system - a case study based on ONGC data

The carbon footprints are increasing in the environment at an alarming rate mainly due to unplanned human activities. The world?s population will continue to grow at a rapid pace in the future. As a result, our future generations may find it difficult to live on this planet in a healthy manner. The world?s developed and developing countries began to investigate various methods for reducing their carbon footprint. However, it will not be sustainable if it is also not economically viable. In this scenario, maintaining a good profit for businesses while reducing their carbon footprint necessitates a pragmatic strategy. In this article, we will try to find a way out that will provide us with a practical solution. We will simulate the profitability of an upstream oil manufacturer that has invested heavily in green technologies. Under a carbon tax system, we will use the production-inventory model. This system assumes that capital investment in green technology can reduce emissions, and increase profits. We used data from the Oil and Natural Gas Corporation of India, available in its annual reports. As a matter of fact, the Oil and Natural Gas Corporation of India accounts for 70% of crude oil production in India and is a major player in India?s upstream oil companies. The results were quite encouraging, with deviations between expected and actual values being less than 10%. The findings also led us to believe that the excise duty and the pollution control tax levied in India can be regarded as a Green Tax or Carbon Tax. We used a published research model to find the optimal solution.

Endogenous Timing and Strategic Green Technology Investment

Endogenous Timing and Strategic Green Technology Investment

Green technology outsourcing for agricultural supply chains with government subsidies

To promote green agricultural production, the government often provides two types of subsidies: the Green Technology Operation Subsidy (GOS), and the Green Technology Investment Subsidy (GIS). This paper examines the impact of government subsidy policies on a two-tier agricultural supply chain in which the farmer can choose to self-invest in green technologies or outsource them to the service provider. Our results indicate that outsourcing is more conducive to higher green technology inputs than self-directed investment in most cases and can generate higher profits for small-scale farmers; however, as the land scale increases, farmers prefer to invest in green technologies by themselves. In addition, if the farmer decides to self-invest in green technologies, the farmer prefer the GIS (GOS) policy when the land scale is small (large). Further analysis shows that if the farmer decides to outsource green technologies, the farmer’s profit under the two subsidy policies is equal when the land scale is small, while the farmer benefits more from the GOS policy when the land scale is large. Finally, from the perspective of promoting agricultural green production, the GIS policy is always better than the GOS policy, regardless of whether the farmer outsource green technologies.

Investing in the Future: A Comparative Analysis of Green Technology Investments and Youth Unemployment in the US and South Africa

Investing in the Future: A Comparative Analysis of Green Technology Investments and Youth Unemployment in the US and South Africa

Food waste collection versus food waste disposers: A case study of a Portuguese city

The European Union (EU) prioritises sustainable development and aims to achieve climate neutrality by 2050 through investments in green technologies and a legislative climate framework. Waste collection and treatment systems, including biowaste like food waste, protect natural capital and citizens' well-being. Directive 2008/98/EC defines biowaste and sets the stage for exploring alternative solutions. This study focuses on the city of Guarda (Portugal) and analyses the use of disposers for food waste treatment. By comparing storage/collection systems with disposers regarding environmental and economic costs and benefits, the study aims to determine the most effective solution for collecting food waste. The analysis utilises a simulator provided by the Portuguese Fundo Ambiental®. The results show that while operating costs are higher for food waste collection systems, disposers require a more significant initial investment. Nevertheless, the cost-benefit ratio favours disposers, while the net present value analysis suggests that the food waste collection system is more favourable. Additionally, food waste collection systems contribute to higher greenhouse gas (GHG) emissions per tonne of food waste compared to using disposers.

China’s Foreign Direct Investment (FDI) in Malaysia: Impact on Malaysia’s Sustainable Development Goals (SDGs)

: Since its initiation, Malaysia has engaged in many BRI-related infrastructure and connectivity projects. These projects, which are mainly Foreign Direct Investments (FDI) from China, have mixed impacts on the three key dimensions enshrined in the UN Sustainable Development Goals (SDGs) - economy, society, and the environment. As FDI from China continues to be an important source of Malaysian economic growth, its contribution to the country’s SDG goals warrants further attention. The study examines China’s FDI impact on Malaysia’s SDG performance and finds that its presence positively influences index scores and global ranking performance. The impact on human capital is encouraging as moderate knowledge transfers and competition enhance workers’ skills. As for the environment, the impact is both positive and negative - gains from China’s investment in green technology but losses in environmental degradation. While the effect on political security and national security is generally positive, the social impact of China’s FDI cannot be determined due to data limitations. The study concludes that Malaysia should continue to engage with China to harness its positive impact toward achieving its SDGs.

Joint decisions on selling mode choice and emission reduction investment under cap-and-trade regulation

Consumers' growing awareness of environmental protection and carbon regulations enacted by the government based on strengthened environmental pressure are forcing manufacturers to curb carbon emissions. This paper considers a manufacturer investing in green technology to reduce carbon emissions under the cap-and-trade regulation, selling products to consumers through a direct channel and an online retail platform. The platform could choose to operate either in an agency mode or a reselling mode. A three-stage game is constructed to examine the interactions between the manufacturer's investment and the platform's operation mode under the cap-and-trade regulation, as well as the influences of the regulation on the interactions, and the supply chain coordination. The findings suggest that green technology investment in either operation mode leads to Pareto improvement in profits of both the platform and the manufacturer, and the investment induces the platform to prefer the reselling mode. Besides, the cap-and-trade regulation encourages the platform to opt for the agency mode, while the investment could mitigate the influence of the regulation on the platform's mode choice, with greater investment efficiency resulting in better mitigation. Furthermore, the investment could induce supply chain coordination under two modes through two different contracts.

Optimization of an inventory model for deteriorating items with both selling price and time-sensitive demand and carbon emission under green technology investment

Optimization of an inventory model for deteriorating items with both selling price and time-sensitive demand and carbon emission under green technology investment

Impact of Investments in Green Technologies on Energy Security and Sustainable Development in the Future

One of the key areas of technological development in the world is the development of the so-called green technologies, which allow to ensure the required level of economic growth without creating additional environmental risks. In recent years, green investments in general, and green bonds, in particular, have become an effective tool for financing green projects. The purpose of the study was to determine the impact of the development of green technologies on energy security and sustainable development of energy technologies. To achieve this goal, the following tasks were solved: the essence and main directions of development of investments in green technologies in the modern investment space were determined; the volume of investments in green technologies in the world was estimated; possible directions of influence of investments in green technologies on energy security were outlined. It is established that green bonds and green investments in general can attract investors and create prerequisites for effective ensuring a sufficient level of environmental safety. It is also noted that ESG criteria are increasingly penetrating the financial sector. The emergence of green investments is associated with growing requirements for environmental friendliness of production and corporate social responsibility. According to market participants, over the next five years, many of the world's largest companies will add ESG ratings to traditional credit ratings and metrics. In general, analysing the effectiveness of investments in green technologies will help to make informed decisions and choose optimal development strategies that help to reduce the negative impact on the environment and increase the competitiveness of companies in the global market. The study concluded that investments in green technologies have potential opportunities for companies in various industries, but the success of such investments depends on a thorough financial assessment, risk management, and long-term development strategy.

A holistic approach to sustainable manufacturing: Rework, green technology, and carbon policies

The significance of sustainability and environmental conservation is on the rise, garnering increasing attention from customers, businesses, industries, and regulatory authorities. To foster sustainable manufacturing practices, this research paper presents a comprehensive framework that integrates synergistic elements such as rework strategies, green technology, and carbon control policies. Imperfect quality items are being considered in the model which are proposed to be dealt with a dual approach: either salvaging or reworking them. The study also investigates the impact of carbon control policies on the manufacturing industry, focusing on sustainability and the equilibrium between environmental protection and economic growth. These policies aim to regulate carbon emissions by imposing penalties or incentives, thus encouraging companies to adopt practices that reduce their carbon footprint. Furthermore, investing in green technology offers environmental benefits, cost savings, a competitive advantage, and regulatory compliance. It helps in carbon reduction through which organizations can assess their cleaner practices and environmental efforts. The objective of the developed model is to maximize the expected profit by optimizing selling price, green investment, and production quantity.Analysis of the numerical results of the proposed study is being provided to demonstrate its validity and reliability.Results demonstrated that the utilization of the rework process yields superior outcomes compared to the scenario without rework. A closer evaluation reveals that the limited carbon policy with the rework process leads to significantly diminished levels of carbon emissions and augmented profitability in contrast to alternative policies. Importantly, this approach exhibits a remarkable 2.13% higher economic efficiency and an impressive 37.10% greater adherence to environmentally sustainable practices, thus highly favoring the adoption of such strategies. Consequently, the manufacturing industry can reduce greenhouse gas emissions while promoting economic growth and profitability through the implementation of carbon control policies and investment in green technology, particularly in conjunction with rework processes.

Influence mechanism of green finance on regional emission reduction

The implementation of green finance is crucial in achieving a reduction in regional emissions. As such, understanding how green finance affects regional emission reduction is essential. Using provincial panel data from 2008 to 2019, we employed the fixed effects model to examine the impact of green finance on regional emission reduction. The empirical results reveal the following: (1) Green finance has a negative effect on sulfur dioxide intensity, and the development of green finance can significantly reduce the emission of regional pollutants. (2) Among the different instruments of green finance, green credit and green investment exhibit more substantial emission reduction effects than green securities and green insurance. (3) The mechanism by which green finance affects regional emission reduction is mainly through the advanced industrial structure and green technology innovation. (4) The development of green finance shows geographical discrepancies: The eastern region of China is more effective in reducing emissions than the central and western regions. To fully maximize the role of green finance in emission reduction, this paper offers pertinent suggestions for strengthening the green financial system, improving the advanced industrial process, increasing investment in green energy technology, and formulating specific development tactics that consider the prominent characteristics of distinct regions.

Dampening energy security-related uncertainties in the United States: The role of green energy-technology investment and operation of transnational corporations

Several studies provide that the green energy transition is critical to attaining environmental sustainability. However, the extent to which investment in green energy technologies influence energy-related uncertainties is not well known. This study set out to investigate the effect of green energy-technology investment and operation of Transnational Corporations (TNCs) on the United States energy security uncertainties over the period 1974–2020. Applying econometric techniques using the Kernel-based regularized least squares (KRLS) and nonparametric multivariate quantile-on-quantile regression (MQQR), we show that green energy-technology investment dampens uncertainties related to energy security. The results also demonstrate that while economic expansion is negatively associated with the United States' energy security uncertainties, the operational behaviours of TNCs via direct investment by foreigners and trade openness amplify energy security uncertainty matrices. Furthermore, the effects of green energy-technology investment, operational behaviours of TNCs, economic expansion, and trade openness exhibit an inherent heterogeneity, leading to the asymmetric pattern in the distribution of the United States energy security-related uncertainties. Notably, these results are confirmed by the disaggregated models for energy security uncertainties with the exception of the environmental-related risks sub-index which dampens as a result of the operation of TNCs. Given these findings, the study suggests, among others, the need for government and policymakers to increase investment in renewable energy R&D technology to dampen energy security-related uncertainties and achieve a sustainable environment.

Empirical analysis of the factors of the green innovation performance of industrial enterprises based on DEMATEL method and factor analysis method

This study investigated factors of the green innovation performance of industrial enterprises in 30 provinces and autonomous regions across China. This study used literature analysis and DEMATEL method to identify the factors of green innovation performance of industrial enterprises. A green innovation performance evaluation index system was then constructed, and a mathematical model was established using factor analysis method to empirically analyze the factors of green innovation performance of industrial enterprises across 30 provinces and autonomous regions in China from 2012 to 2016. The results show that green innovation strength, technological development level, energy consumption, and environmental protection are the three factors of green innovation performance. Firstly, the influence of innovation strength on comprehensive green innovation performance has the largest weight, meaning that it has the largest impact on comprehensive green innovation performance. Secondly, the influence of the level of scientific and technological development on the comprehensive green innovation performance is weaker. Thirdly, the main influencing factor is the level of energy consumption and environmental protection. Finally, based on the empirical analysis, it is suggested that industrial enterprises should increase investment in green innovation, developing science and technology, and improving ecological environment, so as to enhance the green innovation performance of industrial enterprises.

Green technology investment selection with carbon price and competition: One-to-many matching structure

With the deterioration of natural resources and the aggravation of environmental pollution, there is a growing imperative to implement industrial green reform through green technology investment (GTI). This paper constructs a nonlinear dual-objective function by drawing on the theory of two-sided matching under the carbon trading regulation, aiming to examine GTI selection decisions made by two oligarchic manufacturers (i.e., oligarchs) and a monopoly supplier (i.e., supplier). The supplier offers multiple green technologies, while oligarchs rack their brains to buy green technologies in an attempt to exploit their social, economic and environmental potentials. Available technologies vary in terms of their environmental efficiency and cost. Then, a two-sided matching mechanism is constructed to explore the availability of stable matchings and examine the impacts of the carbon price and green improvement coefficient on GTI, product pricing decisions and profits within a competitive environment. Finally, a Monte-Carlo experiment is designed to analyze the impact of uncertain market risks on supplier's decisions. The results show that there is a two-sided matching mechanism that enables oligarchs and suppliers to obtain stable matching solution sets. Higher carbon prices lead to higher product prices, lower market demand, and improved environmental performance. Product price and market demand are positively correlated with investment volumes of oligarchs themselves and negatively correlated with those of their competitors. Investment risk has a certain negative impact on suppliers' profitability.