Did weekly economic index and volatility index impact US food sales during the first year of the pandemic?

We explore the impacts of economic and financial dislocations caused by COVID-19 pandemic shocks on food sales in the United States from January 2020 to January 2021.We use the US weekly economic index(WEI)to measure economic dislocations and the Chicago Board Options Exchange volatility index(VIX)to capture the broader stock market dislocations.We validate the NARDL model by testing a battery of models using the autoregressive distributed lags(ARDL)methodology(ARDL,NARDL,and QARDL specifications).Our study postulates that an increase in WEI has a significant negative long-term effect on food sales,whereas a decrease in WEI has no statistically significant(long-run)effect.Thus,policy responses that ignore asymmetric effects and hidden cointegration may fail to promote food security during pandemics.

'95 Technical and Economic Indexes of CNPC's Oil Producing Units

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Different effects of economic and structural performance indexes on model construction of structural topology optimization

The objective and constraint functions related to structural optimization designs are classified into economic and performance indexes in this paper.The influences of their different roles in model construction of structural topology optimization are also discussed.Furthermore,two structural topology optimization models,optimizing a performance index under the limitation of an economic index,represented by the minimum compliance with a volume constraint（MCVC）model,and optimizing an economic index under the limitation of a performance index,represented by the minimum weight with a displacement constraint（MWDC）model,are presented.Based on a comparison of numerical example results,the conclusions can be summarized as follows：（1）under the same external loading and displacement performance conditions,the results of the MWDC model are almost equal to those of the MCVC model;（2）the MWDC model overcomes the difficulties and shortcomings of the MCVC model;this makes the MWDC model more feasible in model construction;（3）constructing a model of minimizing an economic index under the limitations of performance indexes is better at meeting the needs of practical engineering problems and completely satisfies safety and economic requirements in mechanical engineering,which have remained unchanged since the early days of mechanical engineering.

Do U.S.economic conditions at the state level predict the realized volatility of oil‑price returns?A quantile machine‑learning approach

Because the U.S.is a major player in the international oil market,it is interesting to study whether aggregate and state-level economic conditions can predict the subse-quent realized volatility of oil price returns.To address this research question,we frame our analysis in terms of variants of the popular heterogeneous autoregressive realized volatility(HAR-RV)model.To estimate the models,we use quantile-regression and quantile machine learning(Lasso)estimators.Our estimation results highlights the dif-ferential effects of economic conditions on the quantiles of the conditional distribution of realized volatility.Using weekly data for the period April 1987 to December 2021,we document evidence of predictability at a biweekly and monthly horizon.

Economic complexity and environmental sustainability in eastern European economies:Evidence from novel Fourier approach

Globally,economies have become complex and new technologies have transformed and facilitated the modernization of economies.In the previous literature,economic complexity approach has become one of the popular tools in the development and innovation studies of economic geography.Researchers have found that green technology and eco-innovation approaches should be used to decisively reduce the effects of carbon emissions on the environment.However,debates about the impact of economic complexity on environment remain unsettled since some emerging production technologies have far-reaching pollution effects.This study explored the impacts of economic complexity on environmental sustainability in Turkey using the novel Fourier-based approaches,namely:Fourier Augmented Dickey-Fuller(FADF)and Fourier Autoregressive-Distributed Lag(FARDL)models.The Fourier-based approaches indicated that all variables(economic complexity index(ECI),GDP,energy consumption,and CO_(2)emission(CO_(2)E))are cointegrated in the long run.Additionally,the FARDL model implied that(i)in the long run,the effect of ECI(as a proxy for economic complexity),GDP(as a proxy for economic growth),and energy consumption on CO_(2)E(as a proxy for environmental quality)are important;(ii)economic complexity decreases environmental degradation in Turkey;and(iii)economic growth and energy consumption negatively affect environmental quality.The results also showed that economic complexity could be used as a policy tool to tackle environmental degradation.The findings also revealed that the fossil fuelbased economy will continue to expand and undermine Turkey’s efforts to meet its net zero emission target by 2053.Therefore,policy-makers should take actions and establish diversified economic,environmental,and energy strategies.For policy insights,the Turkish governments can use the combination of tax exemptions and technical support systems to support knowledge creation and the diffusion of environmentally friendly technologies The governments can also impose strict environmental regulations on the knowledge development phases.

Technical and economic demands of HVDC submarine cable technology for Global Energy Interconnection

Power transmission across the sea is an important part of global energy interconnection(GEI).To support the construction of GEI and to serve the needs of future clean energy trans-sea transportation and offshore wind power development,this study a)analyzes the requirements of the GEI backbone network pertaining to direct current(DC)submarine cable technology,and b)defines the key technical and economic indices of ultrahigh-voltage direct current(UHVDC)submarine cable based on theoretical computations.The research is based on the thermoelectric coupling model and the finite element method.It is shown that the dielectric strength of the insulating materials of the±800 kV~±1100 kV/4000 MW^12000 MW UHVDC submarine cable(extrusion insulation)should be not less than 43~65 kV/mm,while the heat resistance is not less than 110°C.As the cost of submarine cable is 5~10 times higher than that of the overhead line,the project investment need to be decreased to a level within the economical carrying capacity to guarantee extensive applicability of the HVDC submarine cable technology.

Expanding the Definition and Measurement of Knowledge Economy： Integrating Triple Bottom Line Factors into Knowledge Economy Index Models and Methodologies

The application of knowledge is a primary source of growth in the knowledge economy. The World Bank Group has developed a rigorous assessment methodology for assessing a country＇s ability to access and use knowledge to become more competitive in the knowledge economy of the 21st century. The World Bank＇s annual knowledge economy index is grounded on a four-pillar model： （1） economic incentives and institutional regime; （2） education and skills; （3） information and communication infrastructure; and （4） innovation systems. An argument can be made that the model lacks coverage of some key factors that pertain to intellectual capital and the production and consumption of knowledge. The model＇s heavy focus on economic incentives and open institutional regimes comes at a societal cost. This paper proposes an alternative knowledge economy index which is grounded in a more holistic and balanced view of a knowledge society. Adopting the perspective of triple bottom line shifts the purpose and design of a knowledge economy from one of aggregation and reporting to action and involvement. The World Bank＇s scorecard and indexing methodology are adaptable to this new perspective and a new set of indicators.

Comparison of Economical and Technical Indices on Rare Earth Separation Processes of Bastnasite by Solvent Extraction

According to the composition of rare earth ores and the market, several feasible separation processes of bastnasite in Baotou of Inner Mongolia and Mianning of Sichuan by solvent extraction in HEH(EHP) HCl system were presented. The parameters of the processes such as stage numbers, volume of mixer settler, fixed investment of extractant and rare earths, consumption of chemical reagents including HCl and NH 3 were calculated and compared. The results show that the novel scheme can save cost more than 20% compared with those of others. By the economical analysis, the optimized separation process of bastnasite was obtained, which can be applied to the treatment of monazite too.

Measuring the agricultural sustainability of India:An application of Pressure-State-Response(PSR)model

Analyzing agricultural sustainability is essential for designing and assessing rural development initiatives.However,accurately measuring agricultural sustainability is complicated since it involves so many different factors.This study provides a new suite of quantitative indicators for assessing agricultural sustainability at regional and district levels,involving environmental sustainability,social security,and economic security.Combining the PressureState-Response(PSR)model and indicator approach,this study creates a composite agricultural sustainability index for the 14 mainstream agro-climatic regions of India.The results of this study show that the Trans-Gengatic Plain Region(TGPR)ranks first in agricultural sustainability among India's 14 mainstream agro-climatic regions,while the Eastern Himalayan Region(EHR)ranks last.Higher livestock ownership,cropping intensity,per capita income,irrigation intensity,share of institutional credit,food grain productivity,crop diversification,awareness of minimum support price,knowledge sharing with fellow farmers,and young and working population,as well as better transportation facilities and membership of agricultural credit societies are influencing indicators responsible for higher agricultural sustainability in TGPR compared with EHR.Although,the scores of environmental sustainability indicators of EHR are quite good,its scores of social and economic security indicators are fairly low,putting it at the bottom of the rank of agricultural sustainability index among the 14 mainstream agroclimatic regions in India.This demonstrates the need of understanding agricultural sustainability in relation to social and economic dimensions.In a nation as diverse and complicated as India,it is the social structure that determines the health of the economy and environment.Last but not least,the sustainability assessment methodology may be used in a variety of India's agro-climatic regions.

Sustainable livelihood security in Odisha, India: A district level analysis

Sustainable livelihood security(SLS) is an integrating framework that encompasses current concerns and policy requirements for ecological, social, and economic dimensions of sustainable development. It carries particular importance for developing economies. This study intends to verify the relative status of SLS of the 30 districts in Odisha, which is a backward state in eastern India. In this study, a total of 22 relevant indicators relating to the three components of SLS—ecological security, social equity, and economic efficiency have been taken, based on various kinds of government reports. The principal component analysis(PCA) was used to ascertain the indicators and the importance of each of them to the corresponding component of SLS. The ecological security index(ESI), social equity index(SEI), economic efficiency index(EEI), and composite sustainable livelihood security index(CSLSI) of each district of Odisha were calculated through the min-max normalization technique. The results revealed that there are wide variations in SLS among the districts of Odisha. In this study, the districts are categorized into four levels based on the scores of ESI, SEI, EEI, and CSLSI as very low(<0.400), low(0.400–0.549), medium(0.550–0.700), and high(>0.700). According to the classification result of CSLSI, 2 districts are found to be in the very low category, 20 districts are under the low sustainability category, 8 districts are in the medium category, and none of the districts are found to be in the high sustainability category. The district of Sambalpur ranks the highest with a CSLSI score of 0.624. The bottom five districts are Gajapati, Bolangir, Nabarangpur, Kandhamal, and Malkangiri, having the CSLSI scores of 0.438, 0.435, 0.406, 0.391, and 0.344, respectively. The result of this study suggests that region-specific, systematic, and proactive approaches are desirable for balanced development in Odisha. Further, policy intervention is required to implement more inclusive tribal welfare policies.

Quantifying the electron-donating and-accepting capacities of wastewater for evaluating and optimizing biological wastewater treatment processes

Biological processes have been widely used for the treatment of both domestic and industrial wastewaters.In such biological processes,pollutants are converted into pollution-free substances by microorganisms through oxidation-reduction reactions.Thus,how to quantify the internal oxidation-reduction properties wastewaters and seek out targeted countermeasures is essential to understand,operate,and optimize biological wastewater treatment systems.So far,no such approach is available yet.In this work,a novel concept of electron neutralization-based evaluation is proposed to describe the internal oxidation-reduction properties of wastewater.Pollutants in wastewater are defined as electron donor substances(EDSs)or electron acceptor substances(EASs),which could give or accept electrons,respectively.With such an electron neutralization concept,several parameters,i.e.,electron residual concentration(R),economy-related index(E and E r),and economical evaluation index(Y and Y r),are defined.Then,these parameters are used to evaluate the performance and economic aspects of currently applied wastewater treatment processes and even optimize systems.Three case studies demonstrate that the proposed concept could be effectively used to reduce wastewater treatment costs,assess energy recovery,and evaluate process performance.Therefore,a new,simple,and reliable methodology is established to describe the oxidation-reduction properties of wastewater and assess the biological wastewater treatment processes.