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PurposeThe eruption of coronavirus disease 2019 (COVID-19) has pointedly subdued global economic growth and producing significant impact on environment. As a medicine or a treatment is yet available at mass level, social distancing and lockdown is expected the key way to avert it. Some outcome advocates that lockdown strategies considered to reduce air pollution by curtailing the carbon emission. Current investigation strives to affirm the impact of lockdown and social distancing policy due to covid-19 outbreak on environmental pollution in the QUAD nations.Design/methodology/approachTo calibrate the social movement of public, six indicators such residential mobility, transit mobility, workplace mobility, grocery and pharmacy mobility, retail and recreation mobility and park mobility have been deliberated. The data of human mobility have been gathered from the Google mobility database. To achieve the relevant objectives, current pragmatic analysis exerts a panel autoregressive distributed lag model (ARDL)-based framework using the pooled mean-group (PMG) estimator, proposed by Pesaran and Shin (1999), Pesaran and Smith (1995).FindingsThe outcome reveals that in the long-run public mobility change significantly impact the pollutants such as PM2.5 and nitrogen dioxide; however, it does not lead to any changes on ozone level. As per as short run outcome is concerned, the consequence unearths country wise heterogeneous impact of different indicators of public mobility on the air pollution.Research limitations/implicationsThe ultimate inferences of the above findings have been made merely on the basis of examination of QUAD economies; however, comprehensive studies can be performed by considering modern economies simultaneously. Additionally, finding could be constraint in terms of data; for instance, Google data used may not suitably signify real public mobility changes.Originality/valueA considerable amount of investigation explores the impact of covid-19 on environmental consequences by taking carbon emission as a relevant indicator of environmental pollution. Hence, the present pragmatic investigation attempts to advance the present discernment of the above subject in two inventive ways. Primarily, by investigating other components of environmental pollution such as nitrogen dioxide, PM2.5 and ozone, to reveal the impact of covid-19 outbreak on environmental pollution, as disregarded by the all preceding studies. Additionally, it makes a methodological contribution before integrating supplementary variables accompanying with ecological air pollution. Finally, the current research article provides an alternative and creative approach of modeling the impact of public mobility on environmental sustainability.

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Environmental quality and sustainability seek to preserve, enhance, and protect our environmental resources that directly aim at providing an amicable quality of life and sustainable development for the upcoming generations. Considering the hazardous environmental urban quality in Delhi NCR, air pollution is the topmost factor deteriorating the health of the population in general. The urban air database by WHO reports Delhi exceeding the maximum PM10 limit by almost 10-times at 292 μg/m3. Noticing that an individual's surroundings have an enormous value in human lives, the study aimed at understanding the impact of urban environmental quality, residential satisfaction, and personality on the quality of life among residents of Delhi NCR. In addition, we also track the environmental world views to attitudes on pro-environmental behavior in understanding sustainability. The results from the SEM model indicated that one index rise in RESS lead to a fall in quality of life by 0.029 point value, whereas one index rise in personality could enhance the quality of life by 0.15 point value. Pro-environmental behaviors and urban environmental factors did not showcase any significant impact on the quality of life.

Stabilization is a vital component of transition. Transition economics is a change from a centrally planned economy to free market. In 21st century, India and China are the world's fastest growing economic countries. This paper compares transition economic relationship in terms of inflation and growth in India and China. Data has drawn from IMF. Macroeconomic parameters clearly confirm that both Chinese and Indian economies are against inflationary capacity constraints. After transition, inflation does affect on growth rates in a long run in both countries since 1979 to 2009. As a result, both countries have growth and inflation rates negative correlation. However, we can also see much higher fiscal deficits are associated with higher inflation its result lower growth.

In this paper it is tried to make the comparison the foreign exchange return volatility in the three emerging economies of Asia. It is also endeavored to investigate the return co-movement and the volatility spillover between the foreign exchange markets of India, China and Malaysia with reference of US dollar, Indian Rupees, Chinese Yuan and Malaysian Ringgit in each other foreign exchange market to. The daily data have collected from Federal Reserve data base from April 2012 to March 2017. For analysis MGARCH model, the GARCH DCC as well as VAR model applied. The empirical result of volatility spillover effect shows that in Indian and Malaysian foreign exchange market the US dollar seems as shock transmitter. It also shows that the influence of US dollar in Chinese foreign exchange market is very low as compare to the Indian and Malaysian exchange rate market. In Chinese market Malaysian ringgit is dominant currency and it transmits the shocks to the US dollar. The conditional volatility result shows that among all the foreign exchange market, Indian market has high volatility return of foreign currency as compare to other market.

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