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Abstract

Based on China’s provincial panel data from 2009 to 2019, this paper empirically tests and analyzes the effects of industrial agglomeration and other important economic variables on industrial green technology innovation efficiency from the perspective of spatial statistical analysis. The results show that the efficiency of China’s industrial green innovation has not changed much during the study period, exhibiting an obvious polarization phenomenon. Moreover, the improvement of the degree of industrial agglomeration is conducive to the regional green innovation efficiency level. This means that industrial agglomeration produces effective environmental and innovation benefits. In addition, the influence coefficient of enterprise-scale is negative, indicating that for Chinese industrial enterprises, the enlargement of the production scale weakens the promotion effect of R&D activities. The influence coefficient of human capital is negative, mainly because the direct effect has a small and positive value, while the indirect effect (spillover effect) has a negative and large value, indicating that the spillover effect of human capital between regions in China is deficient.
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Authors and Affiliations

Mingran Wu
Weidong Huang

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Abstract

We examine new mechanisms that introduce environmentally friendly eco-changes involving the elimination of noxious commodities and take into account the structure of demand without a detrimental effect to agents' position. In the era of the fourth industrial revolution, these mechanisms allow eliminating unnecessary services or goods that are being replaced by modern technologies. We define optimal mechanisms under the criterion of distance minimization, when a small number of detrimental commodities is excluded from production processes as well as when producers are change-averse. The results have the form of theorems with rigorous proofs.
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Authors and Affiliations

Agnieszka Lipieta
1
Anna Denkowska
1

  1. Cracow University of Economics, Poland
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Abstract

This paper proposes a microfounded model featuring frictional labor markets that generates procyclical R&D expenditures as a result of optimizing behavior by heterogeneous monopolistically competitive firms. This allows to show that business cycle fluctuations affect the aggregate endogenous growth rate of the economy. Consequently, transitory shocks leave lasting level effects. This mechanism is responsible for economically significant hysteresis effects that significantly increase the welfare cost of business cycles relative to the exogenous growth model. I show that this has serious policy implications and creates ample space for policy intervention. I find that several static and countercyclical subsidy schemes are welfare improving. Importantly, I find that due to labor market frictions subsidizing incumbent firms generates large and positive welfare effects.
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Authors and Affiliations

Marcin Bielecki
1

  1. University of Warsaw, Poland, Narodowy Bank Polski
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Abstract

We analysed the empirical importance of the capital flows in processes of economic convergence of the CEE region. We depart from reference net measures of capital flow reflecting the level of development of the financial system and focus on gross capital flow. Our econometric model is based on Seemingly Unrelated Regression Equation (SURE) elaborated by Arnold Zellner. This environment seems an alternative to standard panel regression, because it enables cross-country heterogeneity of parameters of interest (like pace of convergence). We tested several restrictions of the unconstrained SURE model, leading to simpler specifications that would allow for regional homogeneity of the role of a particular factor (like capital flows) in growth fluctuations and β-type convergence.
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Authors and Affiliations

Piotr Adamczyk
1
Mateusz Pipień
1

  1. Cracow University of Economics, Poland
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Abstract

The presence of a binary variable in the cointegrated VAR (CVAR) model is most often interpreted as the structural break affecting the data generating process. It is proved in the paper that to enjoy this interpretation the binary variable must appear simultaneously inside and outside the cointegration space. In order to test for the break we advocate to employ the Wald statistic, however, its critical values and the power had to be simulated separately for the possible change of the constant, the trend, and both. The experiments were designed for different sizes of the cointegrating space, number of variables, the span of the break, normally and t-distributed errors. It is shown that the power of the test depends mostly on the magnitude of the break and the sample size while other factors are of secondary importance. In order to test for the break at unknown period the supWald statistic was proposed.
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Authors and Affiliations

Emilia Gosińska
1
Aleksander Welfe
1

  1. University of Łódź, Poland
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Abstract

The United Nations General Assembly established the Sustainable Development Goals in 2015 to achieve an equitable and sustainable future for all by 2030. This study aims to model the relationship between government revenue per capita, quality of governance and the targets of several of these goals, including the coverage of the critical determinants of health; water, sanitation, healthcare, and education. We used government revenue because the policies and practices of international and multinational organisations - including corporations and banks - are more likely to influence revenue rather than government spending in countries in which they are engaged. Also, government revenue reflects a government's ability to spend across all sectors rather than just health or education. An unbalanced non-linear panel data model was employed, and annual data on 217 countries over the period 1960-2000 was used. The coverage of the Sustainable Development Goal variables was expressed as percentages and measures of the quality of governance included in the model. A linear relationship between revenue and the determinants of health would not be appropriate; therefore, we employ a logistic function. A standard panel logistic function would impose the same shape “S” curve on all countries, which is inappropriate. Therefore, we augment the parameters of the logistic function with measures of the quality of governance in each country, which allows each country to have a different “S” shape as the quality of its governance varies. Our study found that increased government revenue is associated with increased progress towards the Sustainable Development Goals. An improvement in the quality of governance could amplify this effect. This modelling and its accompanying visualisations can predict the potential of an increase in government revenue in an individual country regarding progress towards the Sustainable Development Goals.
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Authors and Affiliations

Bernadette O'hare
1
Steve G. Hall
2

  1. St Andrews University, United Kingdom
  2. Leicester University, United Kingdom, Pretoria University, South Africa
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Abstract

This paper investigates the linkages between economic growth and fiscal policy under perfect capital mobility. The model incorporates wide range of fiscal policy instruments: the budget deficit, the structure of public debt, public expenditures on education, public consumption, and four tax rates. We prove that two tax rates - on consumption and interest on government bonds held by domestic lenders - are neutral for economic growth: both for the balanced growth path (BGP), and for transitory dynamics. All other parameters of fiscal policy are not neutral. Theoretical results are illustrated with an empirical analysis for Poland based on post-global financial crisis data for the Polish economy (2009-2018). Numerical simulations show that if fiscal policy remains unchanged, Polish economy will converge to the BGP with GDP growing at 2.3%. The best way to accelerate growth is to increase public investment in education. The other budgetary policy instruments are less effective in shaping economic growth.
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Authors and Affiliations

Michał Konopczyński
1

  1. Poznań University of Economics, Poland
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Abstract

We consider a monetary DSGE model featuring a borrowing constraint such that the amount of debt cannot be larger than a fraction - the debt-to-income (DTI) limit - of borrowers' labor income and the DTI limit is endogenous. The coexistence of financial amplification mechanisms warranted by this model provides a role for a specific macroprudential tool: a countercyclical DTI limit. Conditional on the pre-crisis sample and in a more recent out-of-sample period, our ex-post normative analysis shows that when this policy is implemented the cooperation between central bank and macroprudential authority in pursuing the “two instruments for two goals” strategy delivers an efficient performance in terms of macroeconomic stabilization, significantly outperforming the central bank's policy of “leaning against the wind”. This implies that a central bank should only be focused on its standard objectives (inflation and output stabilization) while financial stability be monitored by a macroprudential authority.
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Authors and Affiliations

Pasquale Filiani
1

  1. Banque Internationale à Luxembourg
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Abstract

The purpose of this paper is to compare two approaches applied in property valuation: artificial neural networks and spatial regression. Despite the fact that artificial neural networks are often the first choice for modeling in the big data era, spatial econometrics methods offer incorporation of information on dependences between multiple objects in the studied space. Although this dependency structure can be incorporated into artificial neural network via feature engineering, this study is focused on abilities of reproducing it with machine learning method from crude coordinate data. The research is based on the database of 18,166 property sale transactions in Warsaw, Poland. According to this study, such volume of data does not allow artificial neural networks to compete in reflecting spatial dependence structure with spatial regression models.
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Authors and Affiliations

Damian Przekop
1

  1. Warsaw School of Economics, Poland
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Abstract

The studies using Mincer equations are generally applied to cross-sectional data at the micro-level. There are however limited studies conducted with macro or panel data for wage equations. Pseudo panel data methods can be applied to empirical studies by creating cohorts from repeated cross-sectional data in the absence of genuine panel data. Difference in both the human and labour resources according to the spatial positions may also affect the prediction of the wage equations. We aim to introduce the application of spatial pseudo panel models by creating cohorts according to the birth years of employees and regions in which they live from the Turkish household labour survey for the period 2010-2015. As a result, we find that the spatial autocorrelation model is appropriate for wage equations of Turkey. We also find that return of education on wages is 11% while return of experience on wages is 4%.
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Authors and Affiliations

Selahattin Güris
1
Gizem Kaya Aydin
2

  1. Marmara University, Department of Econometrics, Istanbul, Turkey
  2. Istanbul Technical University, Department of Management Engineering, Istanbul, Turkey
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Abstract

We develop and study in detail a new family of distributions called Half-logistic Odd Power Generalized Weibull-G (HLOPGW-G) distribution, which is a linear combination of the exponentiated-G family of distributions. From the special cases considered, the model can fit heavy tailed data and has non-monotonic hazard rate functions. We further assess and demonstrate the performance of this family of distributions via simulation experiments. Real data examples are given to demonstrate the applicability of the proposed model compared to several other existing models.
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Authors and Affiliations

Peter O. Peter
1
Fastel Chipepa
1
Broderick Oluyede
1
Boikanyo Makubate
1

  1. Department of Mathematics & Statistical Sciences, Faculty of Science, Botswana International University of Science & Technology, Palapye, Botswana
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Abstract

In this paper we consider a class of nonlinear autoregressive models in which a specific type of dependence structure between the error term and the lagged values of the state variable is assumed. We show that there exists an equivalent representation given by a p-th order state-dependent autoregressive (SDAR(p)) model where the error term is independent of the last p lagged values of the state variable (y_{t-1},…,y_{t-p}) and the autoregressive coefficients are specific functions of them. We discuss a quasi-maximum likelihood estimator of the model parameters and we prove its consistency and asymptotic normality. To test the forecasting ability of the SDAR(p) model, we propose an empirical application to the quarterly Japan GDP growth rate which is a time series characterized by a level-increment dependence. A comparative analyses is conducted taking into consideration some alternative and competitive models for nonlinear time series such as SETAR and AR-GARCH models.
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Authors and Affiliations

Fabio Gobbi
1
Sabrina Mulinacci
2

  1. Department of Economics and Statistics, University of Siena, Italy
  2. Department of Statistical Sciences, University of Bologna, Italy
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Abstract

In this article we have described a multiproduct model of economical dynamics of Gale type, in which the changes in production technology (the dynamics of Gale type production spaces) depend upon the scale of targeted investments. Under such assumptions we have proved a so-called “weak” version of a multilane turnpike theorem in the Gale type economy with varying technology which converges to a certain limit technology. It states that in the long periods of time, regardless of the initial state of the economy, the optimal growth processes almost always lie close to the family of steady growth paths with maximum growth rate called the multilane turnpike.
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Authors and Affiliations

Emil Panek
1

  1. University of Zielona Góra, Institute of Economics and Finance, Zielona Góra, Poland
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Abstract

The purpose of this paper is to introduce and study a new generated family of distributions based on the type II transformation which is called the type II exponentiated half-logistic-Gompertz-Topp-Leone-G (TIIEHL-Gom-TL-G) family of distributions. We investigate its general mathematical properties, including, hazard rate function, quantile function, moments, moment generating function, Rényi entropy and order statistics. Parameter estimates of the new family of distributions are obtained based on the maximum likelihood estimation method and their performance is evaluated via a simulation study. For illustration of the applicability of the new family of distributions, four real data sets are analyzed.
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Authors and Affiliations

Broderick Oluyede
1
Thatayaone Moakofi
1

  1. Department of Mathematics and Statistical Sciences, Botswana International University of Science and Technology, Palapye, Botswana
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Abstract

In this work, we perform an analysis of the characteristics of the one-year and ultimate reserve risk distributions commonly used in actuarial science: duration, first development factor, coefficient of variation, skewness coefficient, skewness-to-CoV ratio, emergence factor, emergence pattern, and risk margin run-off patterns. Our study is based on empirical data for two European markets: the Polish and Slovak markets. We provide benchmarks and ranges for the considered characteristics, as well as analyse the relations between them. We study Solvency II lines of business and compare our coefficients of variation to the Standard Formula reserve risk standard deviations. We investigate more deeply the topic of emergence pattern and risk margin run-off patterns.
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Authors and Affiliations

Marcin Szatkowski
1

  1. Institute of Econometrics, SGH Warsaw School of Economics, Poland; Risk Department, STU ERGO Hestia SA
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Abstract

The spectacular surge of Poland's VAT revenues after 2015 prompted a discussion about the role of the tax administration in collecting tax liabilities. Unfortunately, the scarcity of the available data prevents empirical studies from reaching reliable conclusions about the determinants of VAT revenues. Given that, this article presents a wider attempt at identifying the determinants of VAT revenues in the EU Member States. Using panel cointegration methods, several working hypotheses linking VAT gap to income factors, the business cycle, tax carousels, and an effectiveness of the government are evaluated. The results of the research provide evidence that the VAT gap in the EU countries is under a strong influence from variables approximating changes in per capita incomes, the business cycle, and the openness of an economy to intra-EU trade. The latter finding is a sufficient indication that the improvements made to Poland's tax system were both legitimate and effective.
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Authors and Affiliations

Robert Kelm
1

  1. Chair of Econometric Models and Forecasts, University of Lodz, Poland
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Abstract

With the increase in use and application of carbon nanomaterials and the frequent presence of fluoroquinolones and tetracyclines antibiotics in the aquatic environment, their interactions have attracted extensive attention. In this study, adsorption of two antibiotics: oxytetracycline (OTC) and ciprofloxacin (CIP) by four carbon-based nanomaterials (graphene oxide, reduced graphene oxide, multiwalled carbon-nanotubes, oxidized multiwalled carbon-nanotubes) affected by pH was investigated. The experiment was performed in two steps: (i) adsorption of OTC and CIP at different pH values, (ii) adsorption isotherm studies of both antibiotics on four carbon-based nanomaterials. Both steps were conducted using the batch equilibration technique. The results showed that the adsorption of both antibiotics on studied adsorbents was highly pH-dependent. The highest adsorption was obtained at pH 7.0, implying the importance of the zwitterionic antibiotics forms to adsorption. Antibiotics adsorption isotherms at three given pH values followed the order of pH 7.0 > 1.0 > 11.0, which confirmed zwitterionic species of OTC and CIP as having the greatest ability to adsorb on carbonaceous nanomaterials. Electrostatic interaction, π-π EDA interaction, hydrophobic interaction for both antibiotics, and additionally hydrogen bond for CIP were possible mechanisms responsible for OTC and CIP adsorption onto studied nanomaterials. These results should be important to understand and assess the fate and interaction of carbon-based nanomaterials in the aquatic environment. This study can also be important for the use of carbon nanomaterials to remove antibiotics from the environment.
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Authors and Affiliations

Filip Gamoń
1
Mariusz Tomaszewski
1
Grzegorz Cema
1
Aleksandra Ziembińska-Buczyńska
1

  1. Silesian University of Technology, Department of Environmental Biotechnology, Gliwice, Poland
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Abstract

Artificial water reservoirs pose impact on the natural environment. Impact of the artificial Czorsztyn Lake on groundwater and land management is assessed. The study is based on long-term observations of chemistry, groundwater levels and spring discharges during reservoir construction, filling, and 25-year-long exploitation. Land management changes caused by reservoir construction were recognized using remote sensing. Reservoir construction resulted in land management change in the study area. Built-up and forest areas gained prevalence over farmland areas. Two types of groundwater dominate: HCO3–Ca and HCO3–Ca–Mg, both before reservoir filling (68% analyses) and afterwards (95% analyses), and in control analyses from September 2020 (100% analyses). Gradual decrease in the occurrence of water types with the sulphate ion exceeding 20% mvals is documented, which points to water quality improvement trends. Moreover, changes of water saturation index values with regard to aquifer-forming mineral phases during reservoir construction and early exploitation phasei ndicate hydrochemical modifications. Decrease of groundwater level was related with transformation of the Dunajec river valley during reservoir construction and, accordingly, decrease of regional drainage base level. Groundwater level increased after reservoir filling, which points to coupled impact of the reservoir and increased precipitation recharge. Construction of the Czorsztyn Lake resulted in gradual land management transformation from farmlands into tourist-recreational areas. This change and river valley flooding by surface waters did not cause significant modifications in groundwater quantity and quality. Organization of water-sewage management related with reservoir construction resulted in noticeably improved quality trends.
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Authors and Affiliations

Włodzimierz Humnicki
1
ORCID: ORCID
Ewa Krogulec
1
Jerzy Małecki
1
ORCID: ORCID
Marzena Szostakiewicz-Hołownia
1
ORCID: ORCID
Anna Wojdalska
1
Daniel Zaszewski
1
ORCID: ORCID

  1. Faculty of Geology, University of Warsaw, Poland
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Abstract

The article presents the results of research aimed at determining the catchment areas that pose a risk of nitrogen pollution of the waters of the Mała Panew river. The research was carried out in 13 permanent monitoring points located on the Mała Panew. The location of the points ensured the representativeness of the water quality results for parts of the catchment area with a homogeneous type of land use. Concentrations of nitrate-nitrogen (NO3-N) and total nitrogen (TN) were determined in the samples taken. The content of (NO3-N) in the third quarter of the year and its relation to the value obtained for the first year quarter may be an indicator of the impact of agricultural activities on the quality of water in streams. In the case of agricultural catchments, the lowest concentrations of NO3-N and TN occur in the third quarter of the year and are significantly lower than in the first quarter of the year. The demonstrated seasonal variability of nitrate nitrogen concentrations in agriculturally used areas may be used to determine the type of pressure not allowing to achieve good water status in the surface water body. It was shown that the highest unit increments occurred in areas with a high proportion of forest.
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Authors and Affiliations

Aleksandra Steinhoff-Wrześniewska
1
Maria Strzelczyk
1
ORCID: ORCID
Marek Helis
1
ORCID: ORCID
Anna Paszkiewicz-Jasińska
1
ORCID: ORCID
Łukasz Gruss
2
Krzysztof Pulikowski
2
Witold Skorulski
3

  1. Institute of Technology and Life Science – National Research Institute
  2. Institute of Environmental Engineering, Wroclaw University of Environmental and Life Sciences
  3. ART Strefa Witold Skorulski
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Abstract

Soil contamination with hydrocarbons represents a worldwide problem, especially for oil-rich countries.Soil contamination becomes inevitable due to different accidents, aboveground spills, and leakage, threatening the fauna and flora. The purpose of this study is to remediate One-year aged contaminated soil with crude oil (23490 mg/kg) using the fluidization technique in a laboratory-scale column. Free water and surfactant solutions were used for washing at different operating conditions. The efficiency of the method was evaluated by the calculation of the total petroleum hydrocarbons (TPH) removal ratio. Without the addition of surfactant, the cleaning operation was not sufficiently efficient, especially at room temperature where the removal ratio was only about 18%. Raising the liquid temperature leads to some improvement where the TPH removal ratio reached 49% at 50°C. With the use of solutions containing Sodium Laureth Sulfate (SLES) as a surfactant, an important enhancement of removal ratio was noted, along with an important reduction in operating time, washing solution volume, and energy consumption. The use of alternatively working/stopping operation mode contributes to the improvement of efficiency. TPH removal ratios up to 99% were obtained under some favorable conditions. This research shows encouraging results for expanding towards the industrial level with clean and sustainable resources
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Authors and Affiliations

Mohammed Aouf
1
ORCID: ORCID
Salah Dounit
1
ORCID: ORCID

  1. Laboratory of Génie des Procédés, Faculty of Applied Sscience, Kasdi Merbah University, Algeria
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Abstract

Livestock production is the basis of global food production and it is a serious threat to the environment. Significant environmental pollutants are odors and ammonia (NH3) emitted from livestock buildings. The aim of the study was to determine the concentration and emission factors of ammonia and odors, in the summer season, from a deep-litter fattening house. The research was carried out during summer in a mechanically ventilated fattening piggery located in the Greater Poland Voivodeship. Ammonia concentrations were measured using photoacoustic spectrometer Multi Gas Monitor Innova 1312, and odor concentrations were determined by dynamic olfactometry according to EN 13725:2003 using a TO 8 olfactometer. The NH3 emission factors from the studied piggery, in summer, ranged from 8.53 to 21.71 g·day-1·pig-1, (mean value 12.54±4.89 g·day-1·pig-1). Factors related to kg of body mass were from 0.11 to 0.23 g·day-1·kg b.m.-1 (mean value 0.17±0.06 g·day-1·kg b.m.-1). Odor concentrations in the studied piggery were from 755 to 11775 ouE·m-3 and they were diversified (coefficient of variation 43.8%). The mean value of the momentary odor emission factors was 179.5±78.7 ouE·s-1·pig-1. Factor related to kg of body mass was 2.27±1.71 ouE·s-1·kg b.m.-1. In Poland and many other countries, the litter systems of pigs housing are still very popular. Therefore, there is a need to monitor the pollutant emissions from such buildings to identify the factors influencing the amount of this emission. Another important issue is to verify whether the reduction techniques, giving a measurable effect in laboratory research, bring the same reduction effect in production
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Authors and Affiliations

Paulina Mielcarek-Bocheńska
1
ORCID: ORCID
Wojciech Rzeźnik
2

  1. Institute of Technology and Life Sciences-National Research Institute, Poland
  2. Poznan University of Technology, Poland
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Abstract

The chemical composition of bulk deposition is an important aspect of assessing ambient air pollution. It contributes significantly to the removal of pollutants from the atmosphere and their transfer to other ecosystems. Thus, it is a reliable determinant of environmental chemistry. Therefore, bulk deposition can be considered useful for tracking the migration path of substances from different sources. The aim of the study carried out at five measurement points in Zabrze and Bytom was to assess the content of selected physico-chemical parameters in bulk deposition. Samples were collected continuously from November 2019 to November 2020. In the collected samples the following were determined: COD, pH, conductivity, dissolved organic carbon, inorganic carbon and total carbon; inorganic anions (Cl-, SO42-, NO3-, NO2-, Br-, PO43-) and cations (Li+, Mg2+, Ca2+, Na+, K+, NH4+), metals and metalloids (Mn, Ni, Co, Cu, Zn, As, Cd, Pb, Cr, and Fe), and carboxylic acids (formic, acetic, oxalic). The obtained test results were statistically processed using Excel, and the normality of data distribution was verified by Shapiro-Wilk test. The results show that pollutants transported in the atmosphere and introduced with precipitation in the Zabrze and Bytom areas are a significant source of area pollution of the region.
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Authors and Affiliations

Rajmund Michalski
1
ORCID: ORCID
Paulina Pecyna-Utylska
1
ORCID: ORCID

  1. Institute of Environmental Engineering, Polish Academy of Sciences, Poland
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Abstract

Hassi Messaoud oil field is one of the most important fields in Algeria and the world, because it covers an important quantity of total Crude Oil Production in Algeria. Furthermore, two-thirds of this oil field is underexplored or not explored. Therefore, the drilling process of petroleum wells in this field is a continuous process that results in significant drilling waste. This implies that enormous noxious quantities of drilling waste are produced daily that require treatment via solidification/stabilization (S/S) process before being landfilled. These types of wastes have pollution concentration that significantly exceeds the safety standards. In this study, we focus on the factors affecting the solidification/stabilization treatment of the drill cuttings obtained from Hassi Messaoud oil field and the process optimization. The solidification/stabilization is performed using the cement as binder, and sand, silicate, organophilic clay and activated carbon as additives.The study has been divided into two steps: (i) Determining the optimum ratio of each element used in the S/S process for the organic element (hydrocarbon) elimination, (ii) Combining the optimum ratios found in the previous step to determine the optimal mixture. The obtained results in the first step showed that the optimum ratio for the cement-to-drill cuttings mass ratio is 0.09:1. For the additives-to-drill cuttings mass ratios are 0.04:1, 0.006:1, 0.013:1 and 0.013:1 for the sand, sodium silicate, organophilic clay and activated carbon, respectively. An optimum formula is found whose main finding shows that the hydrocarbon content of our sample is dropped from 9.40 to 1.999%. Many tests’ results such as matrix permeability, resistance to free compression and heavy metals rate before and after S/S process were investigated before landfilling. Besides that, in the light of outcomes achieved by this assessment, these harmful cuttings can be converted into a useful product that helps in reducing the environmental foot prints.
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Authors and Affiliations

Abbas Hadj Abbas
1 2
Abidi Saad Aissa
3
Mohamed Khodja
4
Farad Sagala
5 6
Messaoud Hacini
3

  1. Laboratoire de géologie du Sahara, Université Kasdi Merbah Ouargla, Route de Ghardaia BP 511 Ouargla Algérie.
  2. Department of Chemical and Petroleum Engineering, University of Calgary,
  3. Laboratoire de géologie du Sahara, Université Kasdi Merbah Ouargla, Route de Ghardaia BP 511 Ouargla Algérie
  4. SONATRACH/Institut Algérien du Pétrole, Avenue 1 Novembre 35000 Boumerdès, Algeria
  5. Department of Chemical and Petroleum Engineering, University of Calgary
  6. Department of Energy, Minerals and Petroleum Engineering, Faculty of Applied Sciences and Technology, Mbarara, University of Science and Technology (MUST), Kihumuro Campus, Mbarara, Uganda

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