Recent regulations have required reductions in emissions of nitrogen oxides (NO x ) from electric utility boilers. To comply with these regulatory requirements, it is increasingly important to implement state-of-the-art NO x control technologies on coal-fired utility boilers. This paper reviews NO x control options for these boilers. It discusses the established commercial primary and secondary control technologies and examines what is being done to use them more effectively. Furthermore, the paper discusses recent developments in NO x controls. The popular pri-
A number of regulatory actions focused on reducing NOx emissions from stationary combustion sources have been taken in the United States in the last decade. These actions include the Acid Rain NOx regulations, the Ozone Transport Commission's NOx Budget Program, and the NOx SIP Call rulemakings. In addition to these regulations, the recent Interstate Air Quality Rulemaking proposal and other bills in the Congress are focusing on additional reductions of NOx. Industrial combustion sources accounted for about 18% of NOx emissions in the United States in 2000 and constituted the second largest emitting source category within stationary sources, only behind electric utility sources. Based on these data, reduction of NOx emissions from industrial combustion sources is an important consideration in efforts undertaken to address the environmental concerns associated with NOx. This paper discusses primary and secondary NOx control technologies applicable to various major categories of industrial sources. The sources considered in this paper include large boilers, furnaces and fired heaters, combustion turbines, large IC engines, and cement kilns. For each source category considered in this paper, primary NOx controls are discussed first, followed by a discussion of secondary NOx controls. © 2005 American Institute of Chemical Engineers Environ Prog, 2005
Purpose The purpose of this study is to identify the demographic groups that can be targeted for donations by the cash waqf institutions for their marketing campaigns in Malaysia. Design/methodology/approach This paper uses a structured questionnaire to acquire the understanding of Malays about the existence of poverty in Malaysia and to identify the demographic groups that can be targeted for the marketing campaigns of cash waqf institutions. The sample consisted of 430 Malays respondents residing in Selangor. The study used the methodology of Baron and Kenny for mediation analysis. Findings The finding indicates that Malays do hold sympathies towards the poor. Further investigation shows that high-income class and female are the two demographic groups that are more sympathetic towards the poor because of their strong belief in charity. Research limitations/implications The data collection is limited to Selangor only. However, it provides enough information about the demographic groups which is worth exploring for the future researchers in order to come up with marketing strategies related to cash waqf collections. Practical implications On the basis of findings, cash waqf institutions in Malaysia can come up with marketing strategies to attract high-income class and females as their potential donors. Originality/value The charity institution specifically cash waqf institutions in Malaysia are struggling to identify the right target groups for their marketing campaigns. This study used attribution theory to identify the target groups which is overshadowed by the previous research studies in the context of Malaysia.
PurposeThe purpose of this paper is to empirically investigate the determinants and the impact of financial development on shadow economy in OIC countries and then compared with non-OIC countries.Design/methodology/approachThe study applies advanced panel GMM technique.FindingsThe study finds that macro-variables (unemployment, economic growth, money supply and foreign trade) and institutional variables reduce shadow economy both in OIC and non-OIC countries. The study also explores that financial development mitigates shadow economy; however, its impact is significantly less in case of OIC economies compared to the non-OIC countries.Research limitations/implicationsSince the focus of this study is OIC countries vs non-OIC countries, the research only includes discussion about shadow economy in 42 OIC member states and 99 non-OIC economies. The decision to restrict the study to 42 OIC economies and 99 non-OIC nations is due to the availability of data.Practical implicationsThe study suggests that free market and good business environment in the formal economy are the keys to have less shadow economy. Good institutional setup and ease in regulations can attract firms and businesses from informal sector to the official economy, while political instability is one of the main factors for having large size of shadow economy.Social implicationsThe OIC member countries should implement policies which improve accessibility to finance of every citizen of the country.Originality/valueDespite the growing importance of shadow economy, the literature investigating determinants and the role of financial development in shadow economy is scarce. To the best of the authors' knowledge, there is no literature that examined the shadow economy in the context of OIC member countries. Furthermore, this study has covered a large number of OIC and non-OIC economics over time and across different groups using largest data and advanced panel GMM techniques.
PurposeThe purpose of this paper is to analyze the relationship between macroeconomic fundamentals, intuitional quality and shadow economy.Design/methodology/approachBy utilizing data setspanning from 2004 to 2015 of 141 countries, the study has employed advanced panel technique, i.e. Generalized Method of Moments (GMM) method. In order to check consistency of the results, the study also used fixed effect and random effect for robustness.FindingsThe study finds that for the full sample, institutional quality has negative effect on shadow economy while macroeconomic fundaments effect shadow economy differently. After splitting the sample into Organization of Islamic Cooperation (OIC) and non-OIC countries subsamples, it observes same influence of macroeconomic fundaments and institutional quality on shadow economy, but the effect of macroeconomic fundaments and institutional quality on shadow economy is less observed for OIC countries. The results are found consistence by using different estimation methods.Originality/valueThe current literature has focused on estimating the size of shadow economy and literature linking the macroeconomic fundaments, institutional quality and shadow economy is scarce. Additionally, this study provides the evidence for cross comparison between OIC economies and non-OIC economies.
Focusing on raising climate concerns and sustaining a clean ecosystem, the current study strives to examine the connectedness of clean energy markets with conventional energy markets and four regional stock markets of Asia, Pacific, Europe, and America for the period spanning January 1, 2004 to August 31, 2021. We employed the volatility connectedness methodology using dynamic conditional correlation (DCC-GARCH) estimates for analysis purposes. There is pronounced within class connectedness of all markets except conventional energy markets, which showed strong disconnection from the network. However, strong inter-class spillovers are reported between clean energy and regional stock markets. Time-varying analysis revealed that intense spillovers are shaped during the Global Financial Crisis, Shale Oil Crisis, and COVID-19 pandemic. Meanwhile, time-varying net connectedness estimates illuminate that world renewable energy and American stock markets are net transmitters, whereas leftover markets are net recipients of spillovers. Further analysis of sub-sample periods during GFC, SOR, and COVID-19 validate that intense spillovers are formed when markets experience unexpected financial, economic, and global health turmoil. We proposed significant implications for regional stock markets of Asia, Pacific, Europe and America to concentrate on the climate-friendly energy markets than conventional energy markets as they service the clean ecosystem motives more specifically.
PurposeThe purpose of this study is to investigate the impact of COVID-19 on conventional and Islamic stocks by using the data spanning from February 25, 2020, to February 3, 2021, and employing a panel regression approach.Design/methodology/approachIn this study a panel regression approach has been used.FindingsThe study finds a negative association between COVID-19 and stock (both Islamic and conventional). After splitting the data into 1st and 2nd waves, the relationship between COVID-19 and stock (both Islamic and conventional) remains the same (negative) in the case of the 1st wave. In contrast, in the case of the 2nd wave, the relationship turned out to be positive. During both waves of the pandemic, the magnitude of the effect is found to be higher for conventional stocks. Additionally, the study also analyzes the aggregate influence of COVID-19 on different sectors and finds that commercial banks, oil and gas exploration and marketing companies are the most influenced sectors. At the same time, automobiles and pharma are the least affected sectors.Practical implicationsThe study suggests that markets start gaining momentum to reach their prepandemic level after absorbing the initial shock (emergence of a pandemic). The study also provides thorough insights for market regulators and policymakers by implying the dynamic relations between markets (conventional and Islamic) and financial crisis, which would allow them more effective control of crisis in future endeavors.Originality/valueThis is one of the first studies to investigate the impact of COVID-19 on both conventional and Islamic stocks, especially in the context of Pakistan.
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