Tag: R15

CATALYZING ECONOMIC AND ENVIRONMENTAL INSIGHTS: APPLICATIONS OF IMPLAN’S ENVIRONMENTALLY EXTENDED INPUT-OUTPUT (EEIO) MODELING FOR ENERGY PRODUCTION SCENARIOS

Tuyen PHAM

Assistant Professor of Research, Voinovich School of Leadership and Public Service Ohio University, Athens Ohio, United States of America

tuyen.pham@ohio.edu

G. Jason JOLLEY

Professor of Rural Economic Development, Voinovich School of Leadership and Public Service Ohio University, Athens Ohio, United States of America

jolleyg1@ohio.edu

Paul VALENTINE

Assistant Professor of Instruction, Voinovich School of Leadership and Public Service Ohio University, Athens Ohio, United States of America

valentine@ohio.edu

Joshua C. HALL

Milan Pusker Dean, John Chambers College of Business and Economics West Virginia University, West Virginia, United States of America

Joshua.Hall@mail.wvu.edu

Abstract

In the United States, regional scientists and economists frequently employ IMPLAN, a proprietary input-output (I-O) software, for assessing the economic ramifications of diverse interventions on the local economy. IMPLAN has recently incorporated the Environmental Protection Agency’s (EPA) Environmentally Extended Input-Output (EEIO) modeling as an optional extension within their subscription service. In this paper, we compare coal vs. solar production scenarios in Ohio (a state in the United States) as a case study to illustrate the seamless integration of EEIO modeling with traditional I-O modeling, showcasing its enhanced capabilities for evaluating economic and environmental impacts. In the case of Ohio, we found that the state’s plans to increase solar energy capacity and decrease coal energy capacity have a net positive impact on its economy when considering both economic and environmental aspects.

Keywords: Input-output, coal, solar, environmental impact

JEL classification: C67, R15, E01, P18

pp. 99-106

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MEASURING GROSS EMPLOYMENT GENERATION POSSIBILITIES IN THE BIOGAS VALUE CHAIN IN SOUTHERN BRAZIL

Gustavo FERRO

Associate Professor and Independent Researcher, Universidad del CEMA (UCEMA) and CONICET. gaf97@ucema.edu.ar

gferro05@yahoo.com.ar.

M. Priscila RAMOS 

Adjunct Professor and Adjunct Researcher, Universidad de Buenos Aires. Facultad de Ciencias Económicas. CONICET-Universidad de Buenos Aires. Instituto Interdisciplinario de Economía Política de Buenos Aires.

mpramos@economicas.uba.ar

Carlos A. ROMERO

Adjunct Professor and Researcher at CONICET-Universidad de Buenos Aires. Instituto Interdisciplinario de Economía Política (IIEP-BAIRES).

cromero@economicas.uba.ar

Abstract

Biogas is generated from substrates derived from agriculture and cattle, agroindustry (slaughterhouses, flour, and sugar mills), urban solid waste, and sewerage treatment. This study measures the current and potential production and gross employment in the biogas value chain in three southern states in Brazil (Paraná, Santa Catarina, and Rio Grande do Sul). We offer two contributions: first, an input-output methodology to focus on the problem of disparate or nonexistent sectoral information, both in monetary and physical units; second, the quantitative results of output and gross job creation derived from shocks at the regional level. We calibrate input-output matrices of the three states with compatibilized sector entries, opening new ones for those not included in official statistics (derived from specific surveys). Once the baseline has been established, we consider three scenarios: demand-pull that achieves full capacity utilization, supply push that addresses new investments in the sector assuming guaranteed demand, and full utilization of substrates supply for biogas production. Employment multipliers are in line with literature on comparative activities found elsewhere in the world. Our findings support the hypothesis of the relatively high labor intensity in the biogas industry.

Keywords: biogas, Brazil, input-output, employment

JEL classification: Q42, R15

 pp. 21-37

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HOW AND HOW MUCH DIGITALIZATION AFFECTED ENTERPRISE PERFORMANCE DURING COVID-19 PANDEMIC

Ermira KALAJ

University “Luigj Gurakuqi”, Shkoder, Albania

ermira.kalaj@unishk.edu.al

ORCID: 0000-0003-4692-6055

Erjola BARBULLUSHI

University “Luigj Gurakuqi”, Shkoder, Albania

erjola.barbullushi@unishk.edu.al

Abstract

This paper focuses on the analyses of digitalization of enterprises and its performance impact in Albania. Using World Bank Enterprise Survey of 2019 merged with the ES follow-up on Covid-19 for Albania we investigate on the overall performance of enterprises during Covid-19 pandemic and the role of digitalization. The objective of the survey is to better understand the firm’s experience in the private sector. Collected data are based on firms’ experiences and perception of the environment in which they operate.

The paper uses these specific questions to study digitalization prior to and during Covid-19 pandemic. ES questionnaires focus on the following questions: (1) Does the establishment have its own website? (2) Started or increased business activity online? (3) Started or increased remote work arrangement for its workforce? The dependent variable is performance of the enterprises measured in terms of sales growth, employment growth, closure, and production adjustment. While the vector of independent variables is composed by enterprise characteristics such as firm size, ownership structure, legal status, region, etc. Moreover, dummy variables are used to capture access to formal banking service, and gender ownership.

Keywords: Firm Performance, Entrepreneurship, Digitalization, General Regional Economics

JEL classification: L25, L26, L86, R15

pp. 97-108

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