green technology
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2022 ◽  
Vol 304 ◽  
pp. 114313
Amechi S. Nwankwegu ◽  
Lei Zhang ◽  
Deti Xie ◽  
Chukwudi O. Onwosi ◽  
Wada I. Muhammad ◽  

2022 ◽  
Vol 9 ◽  
Cuifeng Jiang ◽  
Hsuling Chang ◽  
Imran Shahzad

The present study attempts to examine the impact of digitization and green technology on the health outcomes of BRICS countries over the period of 1993–2019. Internet users measure digitalization, and health outcome is determined by life expectancy. The study employed the ARDL estimation approach for empirical investigation of country-specific analysis. GDP per capita and current health expenditures have been incorporated as control variables. The study findings reveal that digitalization results in increasing life expectancy in the long-run in BRICS except for Brazil. While green technology tends to enhance life expectancy in the long-run in Russia and China, it produces an insignificant impact on health outcomes in the short-run. While GDP and health expenditures also improve life expectancy in mostly BRICS economies in the long-run and short-run. Our study provides some policy implications for BRICS nations.

2022 ◽  
Vol 9 ◽  
Zahid Hussain ◽  
Bilal Mehmood ◽  
Muhammad Kaleem Khan ◽  
Raymondo Sandra Marcelline Tsimisaraka

Green growth is an exceptional strategy for sustainable development. It provides a pathway to combat environmental issues and the use of natural resources. This study investigates the effects of green technology and environmental factors on green growth in high-gross domestic product (GDP) countries from 2000 to 2020. In addition, it also probes the linear and nonlinear effects of GDP on green growth. To do so, we employ an advanced econometric approach, e.g., a cross-sectional autoregressive distributed lags estimator for long and short runs. The outcomes demonstrate that the linear effect of GDP is positive for green growth. On the contrary, the nonlinear effect of GDP has a negative magnitude for green growth. Besides, green technology substantially increases green growth. Energy consumption is found to be an important influencer, and it decreases green growth. Environmental factors such as emissions, according to the findings, also reduce green growth in the sample countries. It is worth noting that the joint effects of energy consumption and emissions deteriorate green growth in countries. Based on empirical findings, for policy makers, this study suggests that high-GDP countries should manage their economic and environmental activities in order to increase the amount of green growth that may protect the ecological environment.

2022 ◽  
Supriya Joshi ◽  
Prerna Bhardwaj ◽  
Afroz Alam

Postharvest losses from fungal pathogens to essential fruits and vegetables are enormous and alarming. Orthodox synthetic fungicides are being used as a regular practice to restrict these losses. However, now by knowing the hazards of these chemical-based fungicides, the situation demands alternative green technology. Consequently, many angiosperms plant extracts have been evaluated for their antifungal nature and achieved substantial success. However, the second most prevalent flora on land, i.e. bryophytes, have been scarcely used and somewhat remain neglected besides their remarkable thallus organization, water relations and antimicrobial potential. For postharvest fungus control, these bryophytes, the first land plants' extracts to be researched and promoted due to concerns about drug resistance, nephrotoxicity and biomagnification related to current synthetic fungicides. Since these amphibious plants have their unique protective mechanism against fungal or bacterial attacks due to their unique phytochemistry, therefore have great potential to be used as eco-friendly fungicides. Considering these factors, this article seeks to direct the attention of interested researchers toward the relatively accessible but vast underutilised bryo-diversity to investigate their remarkable potential as postharvest antifungal agents first in laboratories and then on a commercial scale in the future.

Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 122
Liyuan Zhang ◽  
Xiang Ma ◽  
Young-Seok Ock ◽  
Lingli Qing

Industrial green technology innovation has become an important content in achieving high-quality economic growth and comprehensively practicing the new development concept in the new era. This paper measures the efficiency of industrial green technology innovation and regional differences based on Chinese provincial panel data from 2005 to 2018, using a combination of the super efficiency slacks-based measure (SBM) model for considering undesirable outputs and the Dagum Gini coefficient method, and discusses and analyses the factors influencing industrial green technology innovation efficiency by constructing a spatial econometric model. The results show that: firstly, industrial green technology innovation efficiency in China shows a relatively stable development trend, going through three stages: “stationary period”, “recession period” and “growth period”. However, the efficiency gap between different regions is obvious, specifically in the eastern > central > western regions of China, and the industrial green technology efficiency innovation in the central and western regions is lower than the national average. Secondly, regional differences in the efficiency of industrial green technology innovation in China are evident but tend to narrow overall, with the main reason for the overall difference being regional differences. In terms of intra-regional variation, variation within the eastern region is relatively stable, variation within the central region is relatively low and shows an inverted ‘U’ shaped trend, and variation within the western region is high and shows a fluctuating downward trend. Thirdly, the firm size, government support, openness to the outside world, environmental regulations and education levels contribute to the efficiency of industrial green technology innovation. In addition, the industrial structure hinders the efficiency of industrial green technology innovation, and each influencing factor has different degrees of spatial spillover effects.

2022 ◽  
Vol 9 ◽  
Guancen Wu ◽  
Qian Xu ◽  
Xing Niu ◽  
Li Tao

This paper divides government policy according to policy quantity, policy effectiveness and policy executive force so that the government policy can be quantified in more detail. Green patent data is used to represent green technological innovation, and the fixed effect model and panel data analysis from 2010 to 2019 are employed. The empirical results show that government policy has a significant direct promoting effect on green technology innovation. And the positive impact of policy quantity and policy effectiveness on green technology innovation is greater than that of policy executive force. In addition, the government policy will weaken the positive effect of enterprise innovation vitality on green technology innovation. Research conclusions also show that the direct and indirect effects of government policies on green technology innovation are heterogeneous. The government still needs appropriately policies adapted to the local situation, coordinated in policy quantity, policy effectiveness, and executive force, and accelerate the establishment of market-oriented green technology innovation environment. Different regions also should find the right green technology innovation policy scheme for their own regions.

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