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Use of e-Health by simply Healthcare Professionals compared to. non-Healthcare Professionals.
This paper examined the spatial distribution and convergence of China's provincial carbon intensities over 2000-2017. The empirical findings verified the spatial agglomeration and radiation effects, as well as the absolute and conditional spatial convergence of China's provincial carbon intensities, which supports the policy-making related to the carbon reduction in China.On the economic side, China has attained rapid development; yet, the ecological aspects pose threats to its sustainable development. The nexus between economic growth, natural resources, human capital, and financial development has an important inference for the environment, and therefore, this endeavor examines the influence of said variables on the ecological footprint in China via adopting the novel dynamic simulated ARDL approach by utilizing the data from 1985 to 2018. The outcomes of the analysis confirm that natural resources and financial development have a considerable positive short- and long-run relation with the ecological footprint. Besides, this depicts that natural resources and financial development lead to an upsurge in ecological footprint in China. Furthermore, human capital also upsurges the negative influence on the environment. Economic growth also upsurges the ecological footprint; however, the outcomes also yielded an interesting insight lending credence to the existence of the environmental Kuznets curve in China. So, it is important to offer awareness sessions to the community as well as to human resources working in different sectors regarding the significance of sustainability by giving training related to the reduction of the excessive consumption of scarce resources. Moreover, a watchful deliberation must be given while implementing strategies about sustainability concerning the specified factors and their potential impact on ecological footprints so that the targets of Sustainable Development Goals 7, 8, and 13 could be accomplished by the Chinese economy.As a new and cost-effective renewable energy power generation technology, offshore wind power is getting more and more attention. The development of offshore wind power industry is affected by policy-making, technology management, resources and environment, market supply and demand, and the relationship among the influencing factors is complex. This paper analyzes the factors that affect offshore wind power industry from a unique and comprehensive perspective. Fourteen factors are selected and interpretative structural model (ISM) is established to study the relationship between the influencing factors of offshore wind power industry. The results show that 14 influencing factors can be divided into five levels the first level is the surface factors, including the economic incentive policy, operation mechanism, industrial chain, energy market mechanism, investment, and financing mechanism; the second and third levels are the intermediate factors, including generation cost, operation management, and offshore wind power technology; the fourth and fifth levels are deep-seated factors, including development planning and grid price, site selection, R&D investment, environmental protection policy, and offshore wind power supply. Deep-seated factors have a direct impact on the intermediate factors, the intermediate factors have an important impact on the surface factors, and the surface factors directly affect the development of offshore wind power industry. The influence of the 14 factors selected in this paper on offshore wind power industry is from bottom to top, from deep to shallow.This study investigates the relationship between urbanization and air pollution in Turkey. Dynamic ARDL method was used for the period 1960-2015. According to the findings, there is a positive and statistically significant relationship between long-term urbanization and CO2. If urbanization increased by 1%, carbon emissions increased by 0.02%. There is a similar relationship between the shocks that will occur in population growth and CO2 emission in the long term. However, there is a negative and statistically insignificant relationship between the two variables. In the relationship between GDP and CO2, there is a positive relationship in the long term. GDP increase of 1% increases CO2 emissions by 0.11%. There is a similar relationship between long-term GDP shocks and CO2 emissions. According to short-term analysis results, energy consumption increases CO2 emissions by the same rate as GDP. However, the astonishing result of the study emerges here. Empirical results show that a long-term positive shock in energy consumption reduces CO2 emissions and a negative shock increases pollution. According to these results, Turkey has not reached the point of sustainable growth. For this reason, this developing country needs to make regulatory implementations and determine future policies for these impacts affecting air pollution.Climate change mitigation and adaptation are common global challenges, and how to accelerate carbon neutrality and green recovery is a major global issue. Market-oriented emission reduction policy has been widely concerned for its unique advantages, but most of the current market-oriented emission reduction policies are based on the consideration of end-of-pipe governance and lack of effective control of source reduction. Energy quota trading (EQT) is an innovation of an energy-saving and emission reduction system, which is based on the idea of source reduction. However, it is unknown about the evaluation of the effect of the EQT policy from the macro perspective. Based on the related statistical data of energy consumption, combined with the ARIMA model, STIRPAT model, and the synthetic control method (SCM), this paper analyzes the energy consumption distribution in China from 2001 to 2020 and comprehensively evaluates the effect of EQT in the pilots. The results show that (1) The overall energy consumption itant catalyst for policymakers to coordinate policies to accelerate the achievement of carbon-neutral targets and a more resilient low-carbon development model.A ring-width series was developed from Dahurian larch (Larix gmelinii) in the northeastern forest area of Inner Mongolia, China. By analyzing the relationships between tree-ring data and climate records, an August-September mean maximum temperature (T89) series during 1845 and 2012 was reconstructed based on a simple linear regression equation. This reconstructed series explained 40.9% variance of the observed temperature from 1959 to 2012. The reconstructed T89 series was consistent with the historical disaster events caused by extreme climate (e.g., flood, frost disaster, and cold damage). Besides, the temperature comparisons showed that the year in which the warm months (April-September) in northeast China began to warm up has latitude differences. It started with a gradual delay from north to south, starting 1980 in the south region, after 1950 AD in the central region and after 1940 in the north region. AG-270 manufacturer Our study can enrich high-resolution temperature series in Northeast China and help clarify the characteristic of recent warming in northeast China.
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