Economics Commons^™

Effect Of Fdi Inflows On Employment Generation In Selected Ecowas Countries: Heterogeneous Panel Analysis, Timothy A. Aderemi, Olawunmi Omitogun, Bukonla G. Osisanwo

CBN Journal of Applied Statistics (JAS)

The aim of this study is to examine the effect of FDI on employment in ECOWAS sub region between 1990 and 2019. The study utilizes a panel autoregressive distributed lag model to analyse the short run and long run relationship between FDI and employment across ECOWAS sub region. In the short run, the impact of FDI on employment is negative and statistically not significant. Meanwhile, in the long run FDI has a positive and statistically significant impact on employment rate. This implies that FDI has the capacity to generate employment in countries in ECOWAS sub region. Therefore, this study recommends …

Impact Of Covid-19 Pandemic On The Nigeria Stock Market: A Sectoral Stock Prices Analysis, Peter A. Adekunle, Yakubu A. Bello, Udochukwu G. Nwachukwu

CBN Journal of Applied Statistics (JAS)

This study examines the impact of the COVID-19 pandemic on sectoral stock prices in Nigeria stock market using daily data covering from February 28, 2020 to June 26, 2020. Applying the autoregressive distributed lag (ARDL) bounds test, the study finds that COVID-19 pandemic had adverse impact on the stock market indices in the short run. Furthermore, the study documents negative response of sectoral stock prices to the pandemic while the stock prices of the banking sub-sector are the worst hit. Compared to the consumer goods, and industrial subsector indices, the speed of adjustment to long run equilibrium is faster for …

Representation Learning In Finance, Ajim Uddin

Dissertations

Finance studies often employ heterogeneous datasets from different sources with different structures and frequencies. Some data are noisy, sparse, and unbalanced with missing values; some are unstructured, containing text or networks. Traditional techniques often struggle to combine and effectively extract information from these datasets. This work explores representation learning as a proven machine learning technique in learning informative embedding from complex, noisy, and dynamic financial data. This dissertation proposes novel factorization algorithms and network modeling techniques to learn the local and global representation of data in two specific financial applications: analysts’ earnings forecasts and asset pricing.

Financial analysts’ earnings forecast …

Sustainable Rural Development: Is It Possible To Boost Rural Economies While Protecting The Environment?, Jack M. Hempleman

Undergraduate Theses, Capstones, and Recitals

Amidst rapid depletion of our carbon budget, the need to change our practices to be more in line with Earth’s limits has become important in every sector of our economy. From advances in renewable energy generation to the growth of urban gardening, people around the world are taking action to change the way they interact with our planet. However, growing concerns have been raised that protections for the environment will disproportionately harm struggling communities. For instance, rural communities in the United States already exhibit disproportionately high poverty rates, income inequality, and unemployment, as well as lower quality healthcare and public …

Feed-In Tariffs And Sustainable Energy: Why Different Oecd Governments Support Sustainable Energy At Different Rates Through Feed-In Tariffs, Joshua M. Grahame

Business and Economics Honors Papers

Why is it that different governments in the OECD support sustainable energy at different rates? In the effort to explain this difference, Feed-in-Tariffs (FITs) will be closely examined to see if it can explain the significant portion of the variation among countries. This project serves as a continuation of previous scholars' works, to better understand the variation between countries in adopting renewable energy, even though all members of the OECD have pledged that by 2030 half of their energy will come from sustainable energy. Whereas previous research considered data ending in 2012 and looked at countries outside of the OECD, …

The Expansion Of Nocs: What Strengthening State-Owned Enterprises Means For Global Energy, Alexander L. Fretz

Graduate Program in International Studies Theses & Dissertations

The rise of National Oil Companies (NOCs) in the 20th century has been well documented. However, little work has been done with respect to how these entities have evolved in the 21st century. This study aims to measure the changing strength of contemporary NOCs by comparing them to their privatized counterparts. Using this comparative analysis, the study will explain the changing global energy landscape and the potential internecine effects on the international system.

The Effect Of Crude Oil Prices On Personal Consumption Expenditure, Eileen Cooney

Economics Student Scholarship

Eileen Cooney ’23
Majors: Quantitative Economics and Political Science
Minor: Finance
Faculty Mentor: Dr. Fang Dong, Economics

The author used the time series models to analyze how growth of personal consumption expenditure is influenced by financial and economic determinants. Results show that both oil price and consumer sentiment play important roles in influencing consumption growth.

Indian Statistical Institute Placement Brochure 2021-2022, Indian Statistical Institute

Poster and Presentations

The Placement Cell at the ISI Delhi Centre presents a comprehensive information brochure detailing the placement opportunities for outgoing students during 2021–2022. It outlines the placement process for M.Stat and MS-QE students at ISI Delhi. Respective companies should inform the Placement Committee of the final selected candidates, preferably within a day or two.

Economic Losses From Covid-19 Cases In The Philippines: A Dynamic Model Of Health And Economic Policy Trade-Offs, Elvira P. De Lara-Tuprio, Ma. Regina Justina E. Estuar, Joselito T. Sescon, Cymon Kayle Lubangco, Rolly Czar Joseph T. Castillo, Timothy Robin Y. Teng, Lenard Paulo V. Tamayo, Jay Michael R. Macalalag, Gerome M. Vedeja

Mathematics Faculty Publications

The COVID-19 pandemic forced governments globally to impose lockdown measures and mobility restrictions to curb the transmission of the virus. As economies slowly reopen, governments face a trade-off between implementing economic recovery and health policy measures to control the spread of the virus and to ensure it will not overwhelm the health system. We developed a mathematical model that measures the economic losses due to the spread of the disease and due to different lockdown policies. This is done by extending the subnational SEIR model to include two differential equations that capture economic losses due to COVID-19 infection and due …

“La Ultra Periferia De Un País Periférico”: La Política Estratégica Litífera En Jujuy: Los Objetivos, Los Instrumentos, Y Los Desafíos / The Ultra Periphery Of A Periphery Country: The Strategic Policy Towards Lithium In Jujuy: The Objectives, The Instruments, And The Challenges, Max Kaye

Independent Study Project (ISP) Collection

La transición energética hizo cobrar nueva importancia a los yacimientos metalíferos y no metalíferos y generó un nuevo patrón de demanda, especialmente para el caso del litio. Los actores importantes en la cadena de valor de las baterías de ion-litio intensificaron su control sobre cada etapa de sus negocios, y las políticas de los países abundantes en litio son cruciales para determinar cómo afecta a sus territorios esta carrera por el litio. Jujuy, una provincia que podría considerarse periférica de la Argentina, declaró el litio como un recurso estratégico en 2011. La provincia creó ciertos instrumentos para ejercer mayor control …

High School Student Perspective: My Njit Stem For Success Internship Experience, Michael Mora

STEM Month

During the 2020-2021 school year, I was a senior at the Academy for Mathematics, Science, and Engineering (AMSE) in Rockaway, NJ. At AMSE, a STEM-focused four-year magnet high school program hosted at Morris Hills High School, participating in an extended internship senior year is a cornerstone of the learning process. Required to complete a STEM-related internship to graduate, Academy students are encouraged to seek out an internship they’re passionate about in a field of their choice. The internship, which must be conducted under the mentorship of an industry professional, must meet the New Jersey-approved standards for a work-based learning experience …

Agricultural Carbon Markets: How Could They Work?, Andrew Havens

Honors Program: Senior Projects (Public)

The resurgence of voluntary markets in which consumers can purchase carbon credits generated by agricultural carbon sequestration has brought up many questions for farmers looking to potentially enter the market. Past carbon markets, such as the Chicago Climate Exchange, ended when a recession hit, causing demand for credits to swiftly decline. How can modern voluntary markets face these challenges along with new ones and be successful? This research paper, completed as an undergraduate thesis project at the University of Nebraska-Lincoln, examines the economic and scientific factors behind soil carbon sequestration credits. An extended literature review combined with estimation of a …

Liquidity Commonality With Factor Models, Ernesto Garcia Iii

Dissertations, Theses, and Capstone Projects

Market microstructure research has recently devoted attention to a phenomenon called commonality in liquidity. In this dissertation, I will analyze commonality in liquidity using a novel factor model approach and a generalized definition of commonality in liquidity. This analysis will show that commonality in liquidity is rarely a marketwide phenomenon and is mostly restricted to stocks with a large market capitalization. Additionally, commonality in liquidity is a very recent phenomenon whose appearance coincides with a rise in passive investing after the Dotcom Bubble burst and, more so, after the 2008 Financial Crisis. I will present evidence that suggests commonality in …

Slices Of The Big Apple: A Visual Explanation And Analysis Of The New York City Budget, Joanne Ramadani

Dissertations, Theses, and Capstone Projects

As a component of government, budgets are fundamental not only to improving the quality of a shared society, but also to understanding what our government officials consider to be their priorities. However, most budgets can be difficult to understand, using terms that are not familiar to people who have not studied finance or economics. To that end, Slices of the Big Apple is an interactive, centralized narrative website that uses visualizations at its core in order to: 1) facilitate a holistic understanding of the New York City government budget for NYC residents; and 2) conduct a five-year analysis of Community …

Covid-19, Vaccines, And Decision Theory, Michael A. Lewis

Journal of Humanistic Mathematics

In this piece, I delve into some thoughts I've had about decision theory. These have been inspired by the vaccine rollout phase of the COVID-19 Pandemic. I focus on decision making under uncertainty, as it relates to the decision to get vaccinated or not.

Effects Of Foliar Application Of Zno Nanoparticles On Lentil Production, Stress Level And Nutritional Seed Quality Under Field Conditions, Marek Kolenčík, Dávid Ernst, Matej Komár, Martin Urík, Martin Šebesta, Ľuba Ďurišová, Marek Bujdoš, Ivan Černý, Juraj Chlpík, Martin Juriga, Ramakanth Illa, Yu Qian, Huan Feng, Gabriela Kratošová, Karla Čech Barabaszová, Ladislav Ducsay, Elena Aydın

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Nanotechnology offers new opportunities for the development of novel materials and strategies that improve technology and industry. This applies especially to agriculture, and our previous field studies have indicated that zinc oxide nanoparticles provide promising nano-fertilizer dispersion in sustainable agriculture. However, little is known about the precise ZnO-NP effects on legumes. Herein, 1 mg·L⁻¹ ZnO-NP spray was dispersed on lentil plants to establish the direct NP effects on lentil production, seed nutritional quality, and stress response under field conditions. Although ZnO-NP exposure positively affected yield, thousand-seed weight and the number of pods per plant, there was no statistically significant …

Exploring South Korea’S Ocean Economy : The Korea National Ocean Economy Survey 2017-2019, Seokwoo Jake Choi Dr, Ju-Hyeoun Kim, Gi-Su Kim, Kwang Seo Park Dr

Journal of Ocean and Coastal Economics

As the economic contribution of the ocean and fisheries industry increases, it is essential to identify industrial characteristics and propose specialized strategies based on data. However, there has been a lack of research on the establishment of an industrial classification system that reflects the characteristics of the ocean and fisheries industry in South Korea. Therefore, this study aims to introduce the specialized classification system of the ocean and fisheries industry and, further intends to analyze industry trends using the survey data based on the classification system. For the past three years (2017-2019) 9,000 businesses were surveyed annually to estimate industry …

Cooperative-Led Green Value Chain Development For Selected Highland Vegetables In Buguias, Benguet, Paul Kenneth B. Maghirang

Journal of Economics, Management and Agricultural Development

This study proposes a cooperative-led green value chain model for selected highland vegetables in Buguias, Benguet. Primary and secondary data were used in the study. Primary data were gathered through KII, FGD, and survey interviews among 30 farmer-members of LIFMPC. Descriptive, cost and returns, and value chain analysis were conducted. The proposed model of cooperative-led green value chain for selected highland vegetables was developed based on current practices of the farmer respondents. The greening opportunities were identified in different segments of the chain, from input sourcing to consumption, as well as the actors and their activities. Performing these green practices …

An Exponential Formula For Random Variables Generated By Multiple Brownian Motions, Maximilian Lawrence Baroi

CGU Theses & Dissertations

The frozen operator has been used to develop Dyson-series like representations for random variables generated by classical Brownian motion, Lévy processes and fractional Brownian with Hurst index greater than 1/2.The relationship between the conditional expectation of a random variable (or fractional conditional expectation in the case of fractional Brownian motion)and that variable's Dyson-series like representation is the exponential formula. These results had not yet been extended to either fractional Brownian motion with Hurst index less than 1/2, or d-dimensional Brownian motion. The former is still out of reach, but we hope our review of stochastic integration for fractional Brownian motion …

Continuous And Discrete Models For Optimal Harvesting In Fisheries, Nagham Abbas Al Qubbanchee

Masters Theses

"This work focuses on the logistic growth model, where the Gordon-Schaefer model is considered in continuous time. We view the Gordon-Schaefer model as a bioeconomic equation involved in the fishing business, considering biological rates, carrying capacity, and total marginal costs and revenues. In [25], the authors illustrate the analytical solution of the Schaefer model using the integration by parts method and two theorems. The theorems have many assumptions with many different strategies. Due to the nature of the problem, the optimal control system involves many equations and functions, such as the second root of the equation. We concentrate on Theorem …

Effects Of Conservation Management Practices On Soil Health And Crop Yields In Eastern South Dakota, Alex Mclain

Electronic Theses and Dissertations

Conservation management practice adoption on agricultural land has increased in recent years due to increasing public and private investment. The anticipated impact of increasing conservation management practice adoption are reduced greenhouse gas emissions and improved soil, water, and air quality. Understanding how these conservation management practices affect agricultural producers economically is vital to properly incentivize these practices. The existing literature on how conservation management practices affect soil health and crop yields is mixed and generally has been conducted on experimental research stations. These studies may not fully account for the on-farm effects of conservation management practices. The objectives of this …

Towards A Better Understanding Of The Development Of Collaborative Consumption Pricing, Funda Sarican

2022

With the rise of social platforms, consumers started creating value by sharing human and physical resources. As a result, there has been an increase in collaborative consumption. My papers focus on the peer-to-peer travel accommodation service Airbnb, a popular online market for short-term housing rentals.

In paper one, an integrated framework for collaborative consumption pricing is developed by adopting the hedonic demand theory and leveraging the multilevel modeling method that accounts for various factors from nested data. This paper contributes to the research literature by extending the usage of multilevel modeling across cities to consider city effects and broadening the …

Integrating Carbon Pricing Approaches, Amay Shah

CMC Senior Theses

Concerns about global climate change and its effects have been steadily growing around the world in recent years. The Paris Agreement has laid out ambitious targets for countries to cut their emissions in order to limit global warming to 1.5 degrees and to achieve net zero emissions by 2050. Carbon pricing mechanisms are an inventive instrument that can help achieve these emissions reductions by placing a price on greenhouse gas emissions, creating incentives for organizations to reduce their emissions. These mechanisms can also help enable the transfers from wealthy nations to developing nations that will be essential for ensuring a …

Rational Choices And Welfare Changes In Philippine Family Energy Demand: Evidence From Family Income And Expenditure Surveys, Jesus C. Dumagan, Michael Rm Abrigo

Ateneo School of Government Publications

This study found Philippine family demands for (1) electricity, (2) gas and liquid fuels, (3) solid fuels, (4) food, and (5) others—based on Family Income and Expenditure Surveys (FIES) in 2009, 2012, and 2015—are rational (i.e., expenditure minimizing). Specifically, all own-price elasticities are negative (downward sloping demand curves). Cross-price elasticities between (1), (2), and (3) are positive (substitutes) while cross-price elasticities of (1), (2), and (3) with (4) or (5) are mostly negative (generally complements). Income elasticities are positive (normal goods), except for (3), comprising “fuelwood, charcoal, and biomass residues” that are consumed less at higher incomes (inferior goods). These …

Evaluating Long-Range Transportation Plans For Mainstreaming Of Climate Adaptation Among Virginia Mpos, Sebastian L. Shetty

Theses and Dissertations

Despite the strides made towards addressing climate change through greenhouse gas (GHG) emissions reduction strategies, it has become increasingly apparent that attempting to mitigate the crisis in such a manner alone is insufficient. This thesis joins a growing body of research on how our societies must adapt to a changing climate, contributing more evidence on common barriers to adaptation and how they might be overcome. Through an attempt to evaluate the progress made towards mainstreaming, or integrating, climate change concerns into five Virginia MPOs’ long-range transportation plans (LRTPs), this study provides support for prior hypotheses around the potential for MPOs …

Negotiating The Bbnj Agreement : Exploring The Caribbean Community's Engagement From A Blue Economy Perspective With Special Focus On Environmental Impact Assessment Provisions, Kahlil Hassanali

World Maritime University Ph.D. Dissertations

The countries of the world are engaged in negotiations to develop an international legally binding instrument under the United Nations Convention on the Law of the Sea (UNCLOS) on the conservation and sustainable use of marine biological diversity of areas beyond national jurisdiction (The BBNJ agreement). In the BBNJ process, the member States of the Caribbean Community (CARICOM) participate as a regional bloc and have been actively involved in the negotiations. This thesis applies an action research methodology along with a mix of methods, including the reading of primary, secondary and grey literature; document content analysis; interviews and informal conversations; …

Forecasting Locational Marginal Prices In Electricity Markets By Using Artificial Neural Networks, Kim Jay R. Rosano, Allan C. Nerves

Journal of Economics, Management and Agricultural Development

Electricity price forecasting is an important tool used by market players in decision-making and strategizing their participation in the electricity market. In most studies, market-clearing price is forecasted as it gives an aggregated overview of system price. However, locational marginal price (LMP) gives better outlook of the price particular to the customer location in the electrical power grid. This study utilizes Artificial Neural Networks to forecast weekday LMP of generator and load nodes. Various inputs such as historical prices and demand, and temporal indices were used. Using data for selected nodes of the Philippine Wholesale Electricity Spot Market, forecast Mean …

Application Of Competitive Intelligence For Insular Territories: Automatic Analysis Of Scientific And Technology Trends To Fight The Negative Effects Of Climate Change, Henri Dou, Pierre Fournie

International Journal of Islands Research

Islands are fragile territories because of their geographical position. As a result, climate impacts can have serious consequences, of which some are irreversible. Therefore, it is necessary to allow insular territories to benefit from the latest scientific and technological advances in combating climate effects. The current article shows how to deal with automatic analysis of scientific information on the one hand, but also its applications via patents. We will analyse the latest scientific results as well as their possible applications using patent analysis. We will also focus on experts, laboratories, and leading companies, that are active on the field. The …

Climate Change-Induced Effects On Beach Degradation And Tourist Behaviour: A Review Of Previous Studies With Potential In An Island Tourism Context, Yen E. Lam González, Carmen Garcia, Matias M. González Hernández, Carmelo J. Leon

International Journal of Islands Research

This article conducts a qualitative meta-analysis of papers addressing the topic of climate change impacts on beach loss and degradation, and its relation to tourist behaviour (destination choice, willingness to re-visit, expenditure and willingness to pay). The main aim is to identify values that can be used in future research works in the context of island tourism. We found that the strong specialisation and fragmentation of data and methods limit the transferability potential of previous research analysing climate-induced effects on beaches and tourist behaviour. Researchers from different fields bring their own conceptual models which often address similar problems but use …

Machine Learning For Stock Prediction Based On Fundamental Analysis, Yuxuan Huang, Luiz Fernando Capretz, Danny Ho

Electrical and Computer Engineering Publications

Application of machine learning for stock prediction is attracting a lot of attention in recent years. A large amount of research has been conducted in this area and multiple existing results have shown that machine learning methods could be successfully used toward stock predicting using stocks’ historical data. Most of these existing approaches have focused on short term prediction using stocks’ historical price and technical indicators. In this paper, we prepared 22 years’ worth of stock quarterly financial data and investigated three machine learning algorithms: Feed-forward Neural Network (FNN), Random Forest (RF) and Adaptive Neural Fuzzy Inference System (ANFIS) for …