The excessive discharge of phosphorus-containing wastewater contributes to eutrophication, posing a serious threat aquatic ecosystems. Therefore, methods such as electrocoagulation should be utilized remove phosphorus from prior discharging it into water body. In this study, we aimed determine the effectiveness in treating simulated under different parameters, including anode material (aluminum, iron, and magnesium), electrode distance (ED) (1, 2.5, 4.5 cm), pH (3, 6, 9), current density...

Evaluating the influencing factors of energy consumption at system level has become a focus in high-quality economic development. However, existing literature not yet explored whether and how vertical fiscal imbalance (VFI) affects consumption. Thus, we aim to address this gap. We empirically examine effect VFI on its possible mechanisms by using China's panel data province from 1998 2018. find that significantly increases consumption, but influence evident regional heterogeneity. Moreover,...

The advancement of green technology innovation (GTI) is crucial for facilitating development. China, the largest carbon-emitting economy, should prioritize acceleration GTI to augment global economic growth and reduce carbon emissions. Green finance policy (GFP) a common instrument encouraging enterprises develop GTI. This study, therefore, takes pilot China’s Finance Reform Innovation Pilot Zone as “quasi-natural experiment” uses difference-in-differences method explore impact mechanism GFP...

By means of the concept balanced estimation diffusion entropy, we evaluate reliable scale invariance embedded in different sleep stages and stride records. Segments corresponding to waking, light sleep, rapid eye movement (REM) deep are extracted from long-term electroencephalogram signals. For each stage scaling exponent value is distributed over a considerably wide range, which tell us that behavior subject cycle dependent. The average values for waking segments almost same as REM...

The existing literature on China’s industrial green and low-carbon transformation primarily concerns the government’s top-down formal environmental regulation. A few studies have systematically investigated role of informal regulation represented by public supervision non-governmental organizations impact ENGOs its mechanism is empirically examined in this paper using a system GMM model provincial panel data from 2005 to 2018. According findings, both Public can achieve promoting technology...

Abstract Population and industrial structure, as foundational characteristics of economic social systems, exhibit significant spatial heterogeneity dynamic evolutionary trends in their impact on sustainable development. However, existing research often employs subjective categorization samples overlooks the transitions influencing patterns, potentially leading to biases empirical results. To address this, current study, based calculation green total factor productivity (GTFP) for 30...

Rosa setate x rugosa is widely used in the essential oil industry and generates large amounts of waste annually. The purpose this research recycling bioactive flavonoids from rose biomass to develop high-value products. Resin screening adsorption/desorption dynamic analysis showed that HP20 resin was suitable purify R. extracts. Under optimal enrichment process, product had a 10.7-fold higher purity with satisfactory recovery 82.02%. In total, 14 were identified sample after purification by...

Effectively evaluating the influencing factors of environmental pollution at system level has become a hot topic in sustainable socioeconomic development; however, none existing studies have attempted to explore relationship between intergovernmental fiscal transfers and pollution. In this work, we aim address research gap from theoretical empirical perspectives. Under framework endogenous growth theory, first analyze dynamic transfer ratio environment. Findings demonstrate that bell-shaped...

The integration and innovation of finance technology have gradually transformed the financial system into a complex one. Analyses causesd abnormal fluctuations in market to extract early warning indicators revealed that most systems are qualitative causal. However, these models cannot be used forecast risk benchmark. Therefore, from quantitative analysis perspective, we focus on mean volatility uncertainties stock index (benchmark) then construct three indicators: uncertainty, ALM-G-value at...

This paper employs the panel data of 52 countries from 2004-2019 to observe productive capacity endowment their renewable energy (RE) industry based on product density indicator space theory, and investigate impact digital economy accumulation endowments in RE sector. We find that: has a positive development; stimulates development by enhancing political stability, government efficiency, regulatory quality, rule law, market freedom; promotion effect is more significant high-income stronger...

Purpose The purpose of this paper is to analyze whether and how intergovernmental fiscal transfers (IFTs) affect technological innovation. Design/methodology/approach China’s provincial panel data from 2007 2019 are used in an empirical study examine the effect IFTs on innovation role spending policy relationship between two by using spatial Durbin model. Findings Results show evident correlation for innovation, indicating that have a significant negative influence local surrounding regions....

In this study, we consider the asset pricing under model uncertainty with finite time and a family of probability, explore its relationship risk neutral probability meastates structure. For single-period securities model, give novel definition arbitrage sure. Focusing on financial market short sales prohibitions, separately investigate necessary sufficient conditions for no-arbitrage based nonlinear expectation which composed probability. When each linear driven by in becomes martingale...

In order to study the universality of interactions among different markets, we analyze cross-correlation matrix price Chinese and American bank stocks. We then find that stock prices emerging market are more correlated than developed market. Considering values components for eigenvector may be positive or negative, differences between two markets in combination with endogenous exogenous events which influence financial markets. sparse pattern eigenvectors out threshold value has no change...

The stochastic volatility inspired (SVI) model is widely used to fit the implied variance smile. Presently, most optimizer algorithms for SVI have a strong dependence on input starting point. In this study, we develop an efficient iterative algorithm based fixed-point and least-square optimizer. Furthermore, present convergence results in certain situations novel algorithm. Compared with quasi-explicit method, demonstrate advantages of using simulation market data.