Investigating the impact of reading techniques on the accuracy of different defect content estimation techniques

Author(s):  
B. Freimut ◽  
O. Laitenberger ◽  
S. Biffl
2005 ◽  
Vol 52 (10-11) ◽  
pp. 503-508 ◽  
Author(s):  
K. Chandran ◽  
Z. Hu ◽  
B.F. Smets

Several techniques have been proposed for biokinetic estimation of nitrification. Recently, an extant respirometric assay has been presented that yields kinetic parameters for both nitrification steps with minimal physiological change to the microorganisms during the assay. Herein, the ability of biokinetic parameter estimates from the extant respirometric assay to adequately describe concurrently obtained NH4+-N and NO2−-N substrate depletion profiles is evaluated. Based on our results, in general, the substrate depletion profiles resulted in a higher estimate of the maximum specific growth rate coefficient, μmax for both NH4+-N to NO2−-N oxidation and NO2−-N to NO3−-N oxidation compared to estimates from the extant respirograms. The trends in the kinetic parameter estimates from the different biokinetic estimation techniques are paralleled in the nature of substrate depletion profiles obtained from best-fit parameters. Based on a visual inspection, in general, best-fit parameters from optimally designed complete respirograms provided a better description of the substrate depletion profiles than estimates from isolated respirograms. Nevertheless, the sum of the squared errors for the best-fit respirometry based parameters was outside the 95% joint confidence interval computed for the best-fit substrate depletion based parameters. Notwithstanding the difference in kinetic parameter estimates determined in this study, the different biokinetic estimation techniques still are close to estimates reported in literature. Additional parameter identifiability and sensitivity analysis of parameters from substrate depletion assays revealed high precision of parameters and high parameter correlation. Although biokinetic estimation via automated extant respirometry is far more facile than via manual substrate depletion measurements, additional sensitivity analyses are needed to test the impact of differences in the resulting parameter values on continuous reactor performance.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdulazeez Y.H. Saif-Alyousfi

PurposeThe paper examines the effect of bank-specific, financial structure and macroeconomic factors on the profitability of banks in Asian economies during 1995–2017.Design/methodology/approachIt uses the data of 2,446 banks across 47 Asian countries between 1995 and 2017 (41,582 year observations). The static and dynamic panel generalized methods of moments (GMM) estimation techniques are applied.FindingsThe results show that banks that are highly dependent on nontraditional activities have lower net interest revenue and net interest margin but higher return on assets, return on equity and profit before tax. Higher opportunity cost, capitalization, demand deposits and market risk result in a better bank profits. Furthermore, banks with higher loan exposure and growth have more profit. However, nonperforming loans have negative and significant impact on bank profitability. Asian banks do not suffer from diseconomies of scale and scope. The author also finds that banks located in countries with high gross domestic product, inflation rates and high rates of interest or in financially developed economies offer better profits. High credit to the private sector reduces the bank profitability. This study finds evidence to support the structure-conduct-performance (SCP) hypothesis. It also provides evidence that the impact of financial turmoil on the profitability of the Asian banking sector is negative and significant and has severely weakened the Asian banking system.Originality/valueAs Asia has become an important economic area and the Asian topic has not earned enough discussions, this paper is the first to examine Asian banks with the latest and a wider range of panel data that cover 2,446 banks at 47 Asian countries over the period 1995–2017. The present study is among the first to address the influence of financial turmoil on bank profitability in this region. It also studies new variables, such as demand deposits, opportunity cost and off-balance sheet activities, which have not been examined in relation to bank profitability. It also applies both static techniques and dynamic panel estimation techniques to analyze the data.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Banna Banik ◽  
Chandan Kumar Roy

PurposeExchange rate uncertainty leads to an indecisive environment for imports and exports that would condense international trade, foreign direct investment, trade earnings, trade volumes, economic growth and welfare. This study aims to examine, empirically, the effect of exchange rate uncertainty on bilateral trade performance, focusing on eight SAARC member economies using the popular modified gravity model of trade.Design/methodology/approachThe paper includes eight SAARC members – Afghanistan, Bangladesh, Bhutan, Maldives, Nepal, Pakistan and Sri Lanka panel data set over the period 2005–2018. The authors consider both standardized value (standard deviation) and conditional variance model to determine volatility of exchange rate. Primarily, ordinary least squares, random effects and fixed effects estimation techniques are employed to investigate the impact of exchange rate volatility. Endogeneity and robustness of the findings have been tested using the simultaneity-adjusted model and dynamic panel data two-step system GMM estimation techniques.FindingsEmpirical findings endorse the view that exchange rate volatility lowers trade flows in the SAARC regions. However, this adverse effect of exchange rate uncertainty on trade is pretty small. The negative correlation between exchange rate volatility and bilateral trade remains consistent and significant after controlling of simultaneous causality, autocorrelation, year effects, country-pair heterogeneity and endogeneity irrespective of panel data estimation techniques and different measures of volatility.Originality/valueThe present paper is original work.


Author(s):  
Achille Dargaud Fofack ◽  
Steve Sarpong

Objective: The aim of this paper is to assess the impact of out-of-pocket (OOP) health expenditure on maternal health outcomes using a panel of twenty Central and Latin American countries between 2000 and 2015.Material and Methods: Six different estimation techniques were used in the analysis in order to check the robustness of the findings. Those estimation techniques were: the ordinary least squares method, the Prais-Winsten correlated panels corrected standard errors regression, the fixed and the random effects models, the generalized least squares method and the bias-corrected least squares dummy variable method.Results: After controlling for female education, gross domestic product and remittances, it was found that a surge in (OOP) health expenditure significantly deteriorates maternal health as it leads to a decrease in skilled birth attendance and an increase in maternal mortality. It was also found that in Central and Latin American countries, educated women tended to be healthier, and maternal health care was mainly financed with the money received from friends and family members living abroad.Conclusion: It is therefore recommended that public health authorities design and implement protective health care financing programs, such as health insurance.


Author(s):  
Abdulazeez Y.H. Saif-Alyousfi

Purpose This paper aims to examine and compare the impact of foreign direct investment (FDI) inflows on bank deposits in aggregate as well as at the level of conventional and Islamic banks in Middle East and North Africa (MENA) countries. The study also tests hypotheses of direct and indirect impacts of FDI flow and FDI stock on bank deposits. Design/methodology/approach Static and dynamic panel generalized methods of moments (GMM) estimation techniques are applied to analyze a large data set of 491 commercial banks (422 conventional banks and 69 Islamic banks) across 18 MENA countries between 1993 and 2017 (12,275 year observations). Findings Empirical results indicate that inflowing FDI flow and FDI stock have a significant negative direct impact on deposits of MENA banks. The results lend support for the direct channel hypothesis for the effect of FDI on bank deposits and find no evidence in support of the indirect channel hypothesis. FDI inflows affect bank deposits directly via increased FDI-related excessive competition in the banking market. Deposits from conventional banks appear to be more affected than those from Islamic banks. The variation may due to the fact that Islamic banks have fewer multinational corporations (MNC) customers than conventional banks and therefore are less sensitive to fluctuations in FDI. Practical implications From this analysis, this study concludes that foreign investments have a higher productivity than local investments in MENA region. Attracting more FDI is aimed at increasing overall national productivity through competition. However, governments would be wise to enact such a policy to maximize benefits and minimize potential harm to local industry. Furthermore, FDI policy should encourage small to medium-size banks and firms (SMEs)’ participation and linkage with multinational banks and MNCs, while upgrading research and development institutions and innovation activities to help SMEs to benefit from potential spillovers from foreign presence in the industry. In addition, the linkage and connection between SMEs and foreign firms should be strengthened and promoted by government policy. Originality/value This study is the first of its kind to examine the effect of FDI inflows on bank deposits. It also provides an in-depth quantitative analysis of the impact of FDI flow and FDI stock, separately, on bank deposits for both conventional and Islamic banks. It distinguishes between direct and indirect channels through which FDI inflows may affect bank deposits. The study analyzes 25 years of panel data for 491 banks (12,275 year observations) and uses both static and dynamic panel GMM estimation techniques to analyze the data.


2020 ◽  
Vol 36 (4) ◽  
pp. 339-365 ◽  
Author(s):  
Abdulazeez Y.H. Saif-Alyousfi

PurposeThe purpose of this paper is to examine the impact of the Yemen War on banking services (deposits and loans) at the aggregate and at the level of conventional and Islamic banks in GCC countries. The author also tests hypotheses of direct and indirect impacts of the Yemen War on bank services.Design/methodology/approachThe sample comprises a total of 70 banks (45 conventional and 25 Islamic banks) over the period 2000–2018. The static and dynamic panel generalized methods of moments (GMM) estimation techniques are applied.FindingsEmpirical results indicate that the Yemen War has a significant negative direct impact on deposits and loans of GCC banks. The results lend support for the direct channel hypothesis, but not for the indirect channel hypothesis. The negative direct impact is most prominent on banks in GCC countries that are directly involved in the Yemen War, although the war has an asymmetric effect on conventional and Islamic banks, the former being more vulnerable. The overall conclusion is that the Yemen War exerts an asymmetric impact on the GCC region, across both banks and countries.Practical implicationsThese results are a warning to policymakers to be cautious when formulating a strategy for macroeconomic stability.Originality/valueIt is widely recognized that the Yemen War has a significant impact on the economies of the GCC countries. However, the possible impact of the war on GCC bank services has not so far been subjected to robust empirical analysis. This paper therefore seeks to fill this gap by providing an in-depth quantitative analysis of this impact. It distinguishes between direct and indirect channels through which the Yemen War may affect bank services. It is also the first to examine the asymmetric impact of the Yemen War on the GCC region, across both banks (Islamic and conventional banks) and countries (whether or not involved in the war). The study uses both static panel and dynamic panel GMM estimation techniques to analyze the data.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdulazeez Y.H. Saif-Alyousfi

PurposeThis paper investigates and compares the impact of foreign direct investment (FDI) inflows (flow and stock) on bank off-balance sheet (OBS) activities in aggregate as well as at the level of conventional and Islamic banks in GCC countries. It also tests hypotheses of direct and indirect impacts of FDI flow and FDI stock on OBS activities.Design/methodology/approachThis paper uses both static and dynamic panel generalized methods of moments (GMM) estimation techniques to analyze the data of 70 GCC banks (45 conventional and 25 Islamic banks) over the period 1995–2017.FindingsEmpirical results indicate that FDI flow and FDI stock have a significant negative direct impact on OBS activities of GCC banks. The results lend support for the direct channel hypothesis for the effect of FDI on OBS activities and find no evidence in support of the indirect channel hypothesis. OBS activities from conventional banks appear to be more affected than those from Islamic banks.Practical implicationsThe results of this study are expected to trigger appropriate policy response from the central banks of the respective GCC countries as well as their governments.Originality/valueIt is widely recognized that FDI inflows are of great importance to the economic development of emerging and developing countries. However, their impact on bank OBS activities has so far not been subject to accurate empirical assessment. This paper aims to fill this gap by providing an in-depth quantitative analysis of the impact of FDI flow and FDI stock separately, on bank OBS activities for both conventional and Islamic banks in GCC countries. It distinguishes between direct and indirect channels through which FDI flow and FDI stock may affect OBS activities for banks as a whole and both conventional and Islamic banks separately. It also uses both static and dynamic panel GMM estimation techniques to analyze the data.


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