Techno-economic analysis of biogas production from domestic organic wastes and locally sourced material: the moderating role of social media based-awareness.

Management of organic waste addresses the issue of cleanliness and sanitation in developing nations such as Pakistan, where improper waste management usually leads to significant health problems and early mortality. The control of organic waste in rural regions of Pakistan and other developing nations needs to be undertaken using effective solutions. This study contributes to satisfying local needs such as cooking, lighting, and maintaining a comfortable temperature in anaerobic locations and works as a guideline for converting to biogas. This research aims to ascertain households' most substantial challenges concerning biogas production using domestic organic waste and locally sourced materials. The analysis is conducted on data from 81 respondents gathered using a comprehensive questionnaire assessment. Respondents were carefully chosen with the purposive sampling process. Primary data were collected from a structured questionnaire and partial least squares structural equation modeling (PLS-SEM) to evaluate the formulated assumptions. The results indicate that managing organic waste positively influences the sustainable improvement of biogas using human organic waste and locally resourced materials. The selected variables and their moderating effect significantly and favorably influence this conceptual model. Furthermore, all manipulating influences are constructively connected with implementing biogas technology using organic waste and locally resourced material, minimizing household energy expenses, and satisfying local needs. This study concludes that the government's green energy policy and economic incentives encourage households to use biogas energy produced from organic waste and locally resourced material. The government should use modern technology, resident training, and expert methodological assistance to induce households into biogas production using domestic organic waste and locally resourced material. Finally, the study's limitations and suggestions for further research are also addressed.

Exploring the China-Pakistan economic corridor project performance during Covid-19 pandemic.

The outburst of the coronavirus into the global arena, first as a respiratory disease and later as a worldwide pandemic and health emergency, pushed the world economic order into complete turmoil and aftermath, posing severe challenges to the financial stability of developing countries like Pakistan. The temporary suspension of economic activities worldwide has resulted in significant disruptions to international supply chains, leading to substantial delays in implementing infrastructure projects associated with the China-Pakistan Economic Corridor (CPEC). The pandemic has further hindered CPEC progress. Building mega-projects, such as the CPEC, is crucial in determining the economic stability of a nation such as Pakistan. Nevertheless, it is essential to consider that the implementation of infrastructure projects can be subject to delays due to the COVID-19 lockdown and travel restrictions. However, it is worth noting that there needs to be more scholarly research available examining the ongoing progress and performance of CPEC projects from a particular perspective. This study aims to assess the impact of the COVID-19 lockdown policy and travel restrictions on CPEC project performances by highlighting the role of socioeconomic and infrastructure development factors. The study will shed light on numerous causes of concerns in project development phases and provide policy recommendations to help CPEC officials reduce project losses and better survival in the event of extreme uncertainty. The data were collected through an online survey from all over Pakistan using self-administered questionnaires with 570 responses from CPEC employees, officials, and professors from management and economic departments. The structural equation modeling (SEM) technique analyzes the problem mentioned above. As per the results of this study, it is evident that the COVID-19 lockdown policy and travel restrictions have a detrimental effect on the construction of the CPEC project. Moreover, it has been observed that the socioeconomic and infrastructure development associated with the CPEC has a notable impact on the performance of the CPEC projects. This paper aims to provide valuable insights to policymakers by examining the management of the COVID-19 pandemic from the perspective of the CPEC.

Does biogas energy influence the sustainable development of entrepreneurial business? An application of the extended theory of planned behavior.

As a result of air pollution and accelerated climate change, entrepreneurship is gradually becoming a deciding factor in the global conversation about saving the planet with renewable energy sources. To sustain the economy and entrepreneurial culture for future generations, researchers and entrepreneurs seek environmentally friendly methods for supporting entrepreneurial enterprises. Fossil fuel-based energy has significantly impeded the country's sustainable development. Pakistan lacks research examining the connection between biogas energy technology and entrepreneurship. This study aims to cover this void in the literature by employing the theory of planned behavior to investigate bioenergy as a business prospect for supportable monetary growth. The primary data comprises 358 comprehensive questionnaire survey respondents. PLS-SEM verifies the model and examines the suppositions. According to pragmatic findings, all views are positively and substantially associated with the sustainable progress of business enterprises implementing biogas energy. In contrast, social media awareness had no moderating effect on the dependent variable. Consequently, social media awareness substantially modifies the associations between all independent variables adopting biogas energy. The results of this research indicate the standing of altering social customs regarding private enterprise, increasing businesspersons' consciousness of these matters, reforming controlling arrangements, and highlighting the assistance of business events made possible by biogas energy technology, which increases businesspeople's investment returns. Conclusively, the study's limits and approvals for future research are emphasized.

Do urban agglomeration planning policies promote the discharge reduction of industrial wastewater: Evidence from the Yellow River Basin in China.

The environmental effects of the urban agglomeration planning policy (UAPP) are an exploration by rapidly developing China and a concern for countries seeking development and urban reform around the world. This paper takes the three regional urban agglomerations in the Yellow River Basin (YRB) as the research object and collects the panel data of 106 prefecture-level cities from 2006 to 2019 to study the reduction effects of UAPP on the industrial wastewater discharge (IWD). The empirical results from Difference-in-Differences models indicate that UAPP can significantly inhibit IWD. UAPP reduces IWD by promoting green innovation, and the development of service industries can strengthen this effect. UAPP shows a stronger IWD reduction effect in the northeast YRB than that in the southwest region. Compared to urban agglomerations with a single provincial jurisdiction, UAPP exerts stronger IWD reduction effects on urban agglomerations with multiple jurisdictions. Moreover, there exist spatial spillover effects of UAPP on IWD. These findings provide support and references for urban reform and the development of green cities in countries around the world, especially in developing countries.

Exploring the Intertwined Nexus between Globalization, Energy Usage, Economic Complexity, and Environmental Quality in Emerging Asian Economies: A Pathway Towards a Greener Future.

The study aims to examine the relationship between carbon emissions and ecological footprints with economic complexity, core pollution indicators, urbanization, globalization, and renewable and non-renewable energy consumption in eight emerging Asian economies from 1971 to 2020. A panel data framework that considers cross-sectional dependence and heterogeneity was used for analysis. The Pedroni and Johnsen Fisher cointegration showed that carbon emission, ecological footprint, renewable and non-renewable energy consumption, economic complexity, globalization, and urbanization confirmed the presence of cointegration. Moreover, fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DLOS) indicated that globalization, non-renewable energy consumption, and economic complexity increase emission and ecological footprint in the long run, whereas renewable energy generated through biomass, solar, and wind decreases environmental degradation. Furthermore, urbanization also negatively affects the environment. From a policy perspective, policymakers in these countries may manage their natural resources efficiently by escalating the share of renewables in total energy production, offering tax holidays, incentives and encouraging companies to install clean energy plant, and providing support to research and development-oriented companies to engage in research activities to reduce the cost of production of renewable energy.

Can bioenergy act as an entrepreneurial opportunity for the sustainable economic development of an emerging economy? A socio-technical approach.

Challenges in adopting renewable energy have become significant roadblocks to the country's sustainable progress. There is a shortage of studies examining how adopting biogas energy plants affects entrepreneurship in Pakistan's off-grid areas. This study aims to address this gap in the literature by investigating bioenergy as an entrepreneurial opportunity for the sustainable economic development of an emerging economy. Primary data comprising 305 respondents was used in Punjab Province by employing an inclusive questionnaire survey. The partial least square structural equation modeling (PLS-SEM) technique validates the model and analyzes the designated hypotheses. Empirical outcomes reveal that enhanced social and entrepreneurial prosperity adopting biogas plants, sustainable economic development of entrepreneurial businesses adopting biogas plants, and adoption in entrepreneurship improve the standard of living positively and significantly associated with intention to enhance entrepreneurship performance through biogas energy adoption. On the contrary, the production-cost reduction of adopting biogas plants in entrepreneurial businesses had no significant effect on intention to improve entrepreneurship performance through biogas energy adoption. Meanwhile, the intention to enhance entrepreneurship performance through biogas energy adoption positively mediates the relationship among enhanced social and entrepreneurial prosperity adopting biogas plants, sustainable economic development of entrepreneurial businesses adopting biogas plants, biogas plant adoption in entrepreneurship improves the standard of living, and economic development of entrepreneurial activities adopting biogas technology. Correspondingly, social media and word of mouth significantly moderate the relationships between the intention to enhance entrepreneurship performance through biogas energy adoption and the economic development of entrepreneurial activities adopting biogas energy. The results of this study show how crucial it is to change societal norms surrounding entrepreneurship, raise entrepreneurs' awareness of these issues, reform regulatory systems, and emphasize the benefits of entrepreneurial activities offered by biogas energy plants that grow entrepreneurs' standard of living. Finally, the study's limitations and recommendations for additional studies are highlighted.

Digital transformation: fresh insights to implement green supply chain management, eco-technological innovation, and collaborative capability in manufacturing sector of an emerging economy.

The increasing significance of green supply chain management in developing countries' manufacturing sector is primarily driven by the deteriorating environment, signified by decreasing raw material resources, a surplus of waste sites, and rising pollution levels. Green supply chain management can provide competitiveness while boosting a company's environmental sustainability if implemented effectively. Therefore, it is necessary to determine the effect of green supply chain management practices on the firm performance of the manufacturing sector. This research aims to determine the moderating effect of collaborative capability and the mediating influence of eco-technological innovation and environmental strategy on the relationship between green supply chain management and firm performance. Five hundred fifty survey questionnaires are gathered from manufacturing firms of China. Utilizing structural equation modeling (SEM), the proposed hypotheses have been analyzed and investigated. The results show that green supply chain management indirectly affects the firm performance. Moreover, green supply chain management is positively related to environmental strategy and eco-technological innovation, which effectively enhance firm performance. The findings further indicate that environmental strategy and eco-technological innovation significantly mediate the association between green supply chain management and firm performance. Furthermore, collaborative capability significantly and positively moderates the relationship between green supply chain management and firm performance. As a result, the adoption of these factors influences firm performance positively and will assist the manufacturing sector in meeting diverse yet radically changing requirements and overcoming obstacles originating from a dynamic global business environment. Consequently, it is of the utmost importance that businesses must utilize green practices with relatively low environmental impacts. Companies can considerably maintain and improve their firm performance by reducing the environmental impact if they have effective collaborative capabilities, eco-technological innovation, and environmental strategies.

Sustainable green revolution through the development of solar power projects in Pakistan: a techno-economic analysis.

Energy is essential to a recent way of life that needs to be addressed in economic and environmentally supportable improvement negotiations. The economic output of solar energy development has become the primary concern, particularly in emerging nations like Pakistan. The present research estimates a techno-economic analysis and sustainable green revolution by improving this country's solar energy projects (SEP). The study observes the moderating role of top management and risk factors of the procedures between financial management procedures and the economic output of SEP. A comprehensive opinion poll assessment accomplishes the investigation on facts from 61 respondents (finance executives, financial managers, shareholders, and owner investors). Partly least squares structural equation modeling (PLS-SEM) evaluates the hypotheses. The findings indicate that a techno-economic analysis and green revolution favor the ecological improvement of solar energy installations. The cash-flow analysis significantly contributes to the SEP's improved economic output. In addition, the results reveal that the role of top management and risk factors suggestively moderate the relationship between financial management procedures and the economic output of SEP. These outcomes give policymakers, competent authorities, and regulators an excellent guide to upsurge cleaner fabrication and ecological improvement of SEP.

Influence of access to clean fuels and technology, food production index, consumer price index, and income on greenhouse gas emissions from food system: evidence from developed countries.

Sustainable development objectives heavily promote the advancement of cleaner production technologies to reduce emissions and conserve the average world temperature. For the years 1990-2020, the USA, China, Japan, Russia, Germany, and Australia are studied by using the panel fully modified ordinary least square (FMOLS). The results show that clean fuels and technologies and a consumer price index are helpful to reduce greenhouse gas emissions from food system which reduce environmental degradation. Contrarily, increased income and food production contribute to environmental deterioration. There are bidirectional Dumitrescu-Hurlin causal relationships between access to clean fuels and technology and greenhouse gas emissions from food system; real income and greenhouse gas emissions from food system; income and access to clean fuels and technology; income and consumer price index; and income and food production index. This research also revealed a unidirectional causation between the consumer price index and greenhouse gas emissions from food system; food production index and greenhouse gas emissions from food system; access to clean fuels and technology and the consumer price index; and access to clean fuels and technology and the food production index. These findings provide policymakers with relevant content: to promote the goal of green growth, the government should implement consistent measures to subsidize the food industry. Incorporating carbon pricing into food system emissions models would serve to lower production of polluting foods, which would enhance air quality indicators. Finally, a consumer price index should be controlled by controlling prices of green technologies in environmental modeling to improve sustainable development globally and reduce environmental pollution.

Effects of globalization, foreign direct investment and economic growth on renewable electricity consumption.

Renewable energy has been seen as a viable solution to the problems of environmental degradation and the energy crisis. This study examines the long - and short-run linkages between economic globalization, foreign direct investment (FDI), economic growth, and renewable electricity consumption in China's Belt and Road Initiative (BRI) countries. Therefore, this study uses the Pooled Mean Group (PMG) autoregressive distributed lag (ARDL) technique to measure the relationship between constructs based on data collected from 2000 to 2020. The overall results show the collaborative integration of Belt and Road (BRI) countries in terms of globalization, economic growth, and renewable electricity utilization. The results show that there is a long-term positive relationship between FDI and renewable electricity consumption, but a negative relationship in the short term. Furthermore, economic growth is positively correlated with renewable electricity consumption in the long run and negatively correlated in the short run. This study suggests that the governments of BRI countries should encourage globalization by improving technology and knowledge related to renewable electricity consumption in all areas.

Optimization of carbon performance evaluation and its application to strategy decision for investment of green technology innovation.

Carbon regulation and the mechanism of carbon emission right motivate firms with high carbon consumption and emission to transition to a production and operation model with higher carbon usage. Green technology innovation is the usual way out, with carbon performance metrics serving as guideposts along the route. The intersection of the two topics is the focus of this study. The carbon performance evaluation is optimized by taking carbon asset variance into account. This criteria investigates investment in green technology innovation for its relationship with carbon performance, and investment plans are assessed and determined for the optimum carbon performance based on a stochastic model using geometric Brownian motion for Monte Carlo simulation and prediction. Strategy design of green technology investment is optimized by comparison among a series of proposed schemes, and the conclusions based on case study are applicable for similar situations of enterprises with carbon consumption. The following are the ways in which this research contributes. 1) Improvement of the carbon performance measure by the addition of carbon asset modifications. 2) The practical application of carbon performance, which serves to direct management practice, is illustrated and realized.

Digital inclusive finance and consumption-based embodied carbon emissions: A dual perspective of consumption and industry upgrading.

Promoting the development of financial instruments can influence carbon emission reduction in the context of the carbon peaking and carbon neutrality goals. There are currently no theoretical mechanisms to explain whether and how digital inclusive finance, as a new type of financial service, influences residential consumption-based embodied carbon emissions. This study employs the mediation model, moderation model, and moderated mediation model to empirically evaluate the influence mechanism of digital inclusive finance on consumption-based embodied carbon emissions per capita in China from 2011 to 2019. The findings demonstrate that the development of digital inclusive finance increases residents' consumption-based embodied carbon emissions by upgrading consumption level and consumption structure, but that upgrading industrial structure does indeed have a significantly negative moderating effect in implications paths, causing consumption-based embodied carbon emissions to shift from positive to negative. This study, by focusing on the advancement of digital inclusive finance, offers policymakers suggestions for reducing consumption-based embodied carbon emissions from the standpoints of consumption upgrading and industrial structure upgrading, respectively.

The impact of low-carbon city pilot policy on green total-factor productivity in China's cities.

Whether the low-carbon city construction can coordinate urban economy and environment has attracted increasing attention in recent years. In this study, the impact of low-carbon city pilot (LCCP) policy on urban green total-factor productivity is systematically examined theoretically and empirically. Specifically, the biennial Malmquist-Luenberger (BML) index is adopted to measure urban green productivity. Then, propensity score matching-difference-in-differences (PSM-DID) and spatial DID model are used to quantitatively identify the local and spatial spillover effect of the LCCP policy on urban green productivity during 2004-2018 in China. The results show that (1) The LCCP policy can significantly promote urban green productivity, as confirmed through a series of robustness tests. (2) For transmission mechanism, the LCCP policy can enhance urban green productivity through energy consumption reduction and technological innovation but not through industrial structure optimization. (3) With regard to heterogeneity, cities with better transportation infrastructure, stricter environmental regulation and higher urbanization level, as well as non-resource-based cities have more significantly positive effects of the LCCP policy on urban green productivity. (4) The LCCP policy mainly relies on technological progress rather than technical efficiency improvement to drive urban green productivity. (5) The LCCP policy's effect on urban green productivity has significant positive spatial spillover feature, which can significantly promote green productivity in both pilot cities and their neighboring cities. Our findings can provide valuable insights for low-carbon city construction to promote urban sustainable development in China.

Influence of green technology, green energy consumption, energy efficiency, trade, economic development and FDI on climate change in South Asia.

Climate change policy has several potential risks. The purpose of this study is to investigate the impact of green technology development, green energy consumption, energy efficiency, foreign direct investment, economic growth, and trade (imports and exports) on greenhouse gas (GHG) emissions in South Asia from 1981 to 2018. We employed Breusch Pagan LM, bias-corrected scaled LM, and Pesaran CD as part of a series of techniques that can assist in resolving the problem of cross-sectional dependence. First and second generation unit root tests are used to assess the stationarity of the series, Pedroni and Kao tests are used to test co-integration. The long-term associations are examined using fully modified ordinary least square (FMOLS) and panel dynamic ordinary least square (DOLS) for robustness. The results revealed that trade, growth rate, and exports significantly increase GHG emissions. This accepted the leakage phenomenon. The results also demonstrated that green technology development, green energy consumption, energy efficiency, and imports all have a significant negative correlation with GHG emissions. Imports, advanced technical processes, a transition from non-green energy to green energy consumption, and energy efficiency are thus critical components in executing climate change legislation. These findings highlight the profound importance of green technology development and green energy for ecologically sustainable development in the South Asian countries and act as a crucial resource for other nations throughout the world when it comes to ecological security. This research recommends the consumption of environmentally friendly and energy-efficient technologies in order to mitigate climate change and the government's implementation of the most recent policies to neutralize GHG emissions in order to achieve sustainable development.

Decomposition and decoupling analysis of carbon emissions from agricultural economic growth in China's Yangtze River economic belt.

In this study, carbon emissions from agricultural energy consumption (CEAEC) are fully analyzed using data from the Yangtze River Economic Belt (YEB) between 2000 and 2017. First, generalized LMDI is adopted to decompose the drivers of CEAEC into five components. Then, the decoupling indicator and the decoupling effort indicator are constructed to quantify the decoupling degrees and examine the government's emission reduction efforts, respectively. The results show that (1) CEAEC in the YEB has shown a phased increase, reaching a peak at 1732.25104t in 2012. Except for some decreases found in Shanghai, Chongqing, and Guizhou, it is shown that all provinces' CEAEC have risen to varying degrees. In contrast, the intensity of CEAEC in the YEB has been declining since 2005. (2) The economic output effect acts as the major contributor to the growth of CEAEC, followed by the population effect. In contrast, both the energy intensity effect and the energy structure effect are the primary reasons for reductions in CEAEC. The spatial difference in CEAEC in the YEB increased significantly from 2000 to 2017. (3) There was an alternating change from decoupling to coupling and then to negative decoupling from 2000 to 2017. Based on the conclusions mentioned above, it is proposed that the formulation of low-carbon agricultural development strategies should consider the structural adjustment of agricultural energy consumption and the advancements of agricultural technology.

Employee wellbeing and cost reduction drivers of corporate social responsibility: Evidence from Congolese mining sector.

This research proposes an internal organizational framework that explains why firms implement corporate social responsibility (CSR). Based on the perspective of managers in the mining sector of the Democratic Republic of Congo (DRC), wellbeing of employees and cost reduction were identified as internal driving factors of CSR. This study was carried out on a sample of 103 mining, using a structural equation through LISREL. The findings of the study reveal; first, that firms' pursuit of cost reduction positively influences the implementation of CSR; second, firms are driven by CSR in order to ensure the wellbeing of their employees, fostered by compliance with labor standards in the mining sector. Therefore, CSR compliance was included as a mediating variable. Lastly, the lack of resources remains a barrier to CSR implementation. This research adds to the growing body of literature on CSR antecedents by demonstrating that in the Congolese mining sector, CSR implementation is linked to the wellbeing of employees as well as compliance to labor standards and regulations, cost reduction, and financial resources as well as human resources. This research responds to deficiency in novelty and lack of academic studies on drivers of CSR in the mining sector in Sub-Saharan regions.

New Structural Economic Analysis of Anti-COVID-19 Pandemic Model of BEST Region.

The successful anti-COVID-19 pandemic model of BEST region (Beijing-Seoul-Tokyo) includes China, Japan and South Korea, which benefit from its well-functioning organizational ecosystem and specific anti-COVID-19 pandemic strategies. Under the premise of an efficient market, the capable organizations of China, Japan and South Korea will play the dynamic function of coordination and organic connection. They will also help improve the governance efficiency of facilitating state in different stages of fighting against the pandemic. This article follows the analytical logic of the new structural economics, taking the factor endowment and its structure as the starting point for the analysis, through the comparative advantage operation mode determined by the market, and based on the collaborative anti-COVID-19 pandemic perspective of the government, the market and various social organizations, to build a framework for the facilitating state-efficient market-capable organization. The key to the success of the anti-COVID-19 pandemic method in China, Japan and South Korea is organically coordinated between government, market and organizations. Based on the effective promotion of micro-organizations, governments organize resource integration and implement macro-control of the market. A dynamic balance between economic governance and pandemic prevention and control has been achieved by optimizing the endowment structure of resources, improving infrastructure and reducing system costs.

Green finance, fintech and environmental protection: Evidence from China.

This paper is one of the first to offer a comprehensive analysis of the impact of green finance related policies in China, utilizing text analysis and panel data from 290 cities between 2011 and 2018. Employing the Semi-parametric Difference-in-Differences (SDID) we show that overall China's green finance related policies have led to a significant reduction in industrial gas emissions in the review period. Additionally, we found that Fintech development contributes to the depletion of sulphur dioxide emissions and has a positive impact on environmental protection investment initiatives. China is poised to be a global leader in green finance policy implementation and regulators need to accelerate the formulation of green finance products and enhance the capacity of financial institutions to offer green credit. While minimizing the systemic risk fintech poses, policy makers should encourage fintechs to actively participate in environmental protection initiatives that promote green consumption.

Measuring energy and environmental efficiency interactions towards CO2 emissions reduction without slowing economic growth in central and western Europe.

Given the economic growth and energy consumption patterns, most countries are striving to solve the problems of CO2 emissions reduction to achieve sustainable development. This paper employs an improved DEA model to measure energy and environmental efficiency for some selected countries in central and western Europe. In addition, the DEA window evaluation technique is applied to measure cross-sectional efficiency using two inputs (energy consumption, labor force), a desirable output (gross domestic product), and an undesirable output (CO2 emission) for the period from 2010 to 2014. The study finds that the UK ranks the highest position in term of energy and environmental efficiency. This shows that the UK has more effective policies regarding energy efficiency, consumption, production, import and energy intensity measures for sustainable economic growth as well as environmental protection. Ireland is the second-best country after the United Kingdom. The efficiency scores of the two countries are 0.99 and 0.89 respectively. On the empirical outcomes, this study suggests effective reforms in energy sector for countries with less energy efficiency that are still facing the problem of environmental degradation.

Mapping the knowledge of green consumption: a meta-analysis.

Green consumption can facilitate sustainable industrial development and improve the overall efficiency of resource utilization. In response to rapid economic development and increasing environmental emissions, it is critical to promote green consumption so that the whole society can move toward sustainable development. This study aims to systematically review studies on green consumption by means of meta-analysis, bibliometric analysis, and social network analysis. The results show that green consumption is an interdisciplinary research field, involving environmental science, social science, medical science, economics, and other disciplines. Most productive countries, institutions, authors are identified so that the new researchers in this field can find their research partners. Keywords analysis results help identify the research hotpots in this field. It is suggested that future green consumption research should focus on behavior mechanism, stakeholder coordination, and policy evaluation. In general, the results obtained from this study provide valuable information for researchers and practitioners to promote green consumption research.