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Volumen 11 (2023): Edición 1 (June 2023)

Volumen 10 (2022): Edición 2 (December 2022)

Volumen 10 (2022): Edición 1 (June 2022)

Volumen 9 (2021): Edición 2 (December 2021)

Volumen 9 (2021): Edición 1 (June 2021)

Volumen 8 (2020): Edición 2 (December 2020)

Volumen 8 (2020): Edición 1 (June 2020)

Volumen 7 (2019): Edición 2 (December 2019)

Volumen 7 (2019): Edición 1 (June 2019)

Volumen 6 (2018): Edición 2 (December 2018)

Volumen 6 (2018): Edición 1 (June 2018)

Volumen 5 (2017): Edición 2 (December 2017)

Volumen 5 (2017): Edición 1 (June 2017)

Volumen 4 (2016): Edición 2 (December 2016)

Volumen 4 (2016): Edición 1 (June 2016)

Volumen 3 (2015): Edición 2 (December 2015)

Volumen 3 (2015): Edición 1 (June 2015)

Detalles de la revista
Formato
Revista
eISSN
2303-5013
Publicado por primera vez
08 Sep 2015
Periodo de publicación
2 veces al año
Idiomas
Inglés

Buscar

Volumen 10 (2022): Edición 2 (December 2022)

Detalles de la revista
Formato
Revista
eISSN
2303-5013
Publicado por primera vez
08 Sep 2015
Periodo de publicación
2 veces al año
Idiomas
Inglés

Buscar

0 Artículos
Acceso abierto

A multi-criteria approach to the comparative analysis of the global innovation index on the example of the Western Balkan countries

Publicado en línea: 12 Dec 2022
Páginas: 9 - 26

Resumen

Abstract

Innovation is crucial for the competitiveness of countries in the global market. Countries oriented to progress must invest in innovative activities. Using the example of the Western Balkan countries, this study investigated their innovative competitiveness. The indicators of the Global Innovation Index (GII) were used for the years 2019, 2020, and 2021. A multi-criteria approach was based on the innovative SMART approach. The weights of the criteria were determined using the CRITIC (criteria importance through intercriteria correlation) method, while the CRADIS (compromise ranking of alternatives from distance to ideal solution) method ranked the Western Balkan countries according to their innovative characteristics. The results showed that Montenegro had the best innovation indicators, followed by Serbia, while Albania had the worst indicators. This research showed an innovative approach of using four normalizations, and the advantages of these normalizations were used to contribute to stabilization in multi-criteria decision-making.

Palabras clave

  • informal labour
  • informal work
  • shadow economy
  • labour
  • macroeconomics
  • developing economies
  • globalisation

JEL Classification

  • O32
  • Q55
  • C54
Acceso abierto

Impact of energy innovations on the Ukraine’s economy: Strategic direction and managerial practices

Publicado en línea: 12 Dec 2022
Páginas: 27 - 44

Resumen

Abstract

Diversification of energy sources and innovative development of the energy sector are one of the main directions for ensuring sustainable development and decarbonization of the economy. The aim of the article is to identify connections and interactions between the parameters of energy innovation development and economic growth. Factor analysis was used for this purpose. The results and conclusions determine the most influential factors among the 5 components identified in accordance with the functional areas of innovative development of the national economy in energetics. The analysis allowed to identify the main trends in the development of factors, which allowed to identify positive and negative changes. The regularities of the influence of certain factors on energy innovations have been determined, which has allowed to provide recommendations for their further development and regulation

Palabras clave

  • energy innovations
  • multi-factor analysis
  • decarbonization of the economy.

JEL Classification

  • C01
  • Q20
  • Q40
Acceso abierto

Supply chain dynamics after the COVID-19 pandemic and stock market performance: Evidence from the US

Publicado en línea: 12 Dec 2022
Páginas: 45 - 62

Resumen

Abstract

Supply chain risk is a strategic issue for managing multinational companies, and Covid-19 has shown the relevance of this type of risk for the firm’s survival probability. The market may perceive the choice of replacing some of the main customers or suppliers as an increase or a decrease of the risk based on the features of the new supply chain members, and markets tend to penalize companies that increase their exposure to unaffordable events. During the pandemic, many supply chains suffered from glitches and companies were obliged to redefine their network by selecting their new strategic customers and/or suppliers.

The paper evaluates the supply chain composition strategies of a set of multinational companies based in the US during the last decade. It highlights the differences in supply chain management behavior before and during the pandemic. Data collected allow testing the impact on the stock market performance of modifying the supply chain network by adding new members that may have a different level of risk. Results show that the market reaction to supply chain updates changed after the Covid-19, and nowadays there is greater attention on the credit risk of the new companies entering the supply chain.

Palabras clave

  • Supply chain
  • Pandemic
  • Stock performance

JEL Classification

  • G11
  • M11
Acceso abierto

Digital Workplace Transformation: Innovative Approach After Covid-19 Pandemic

Publicado en línea: 12 Dec 2022
Páginas: 63 - 76

Resumen

Abstract

COVID-19 had undoubtedly speeded up adoption of digital technologies. Most of the theoreticians agree that changes that happened in the pandemic period would not happen in the next several years or even decades. There is almost no business operation that has not been affected by the pandemic, from customer relation and sales to supply chain. It influenced different business sectors leaving permanent change and making a significant proportion of organizations working in at least hybrid mode: combining digital and traditional pre-pandemic ways of working. COVID-19 had significantly changed the workplace and way of working. Workplace has shifted to digital or at least hybrid and employees and companies have adopted new ways of working, including usage of digital technologies but also accepting more agile and flexible procedures and rules. The research community has followed this phenomenon and tried to provide best possible recommendation to it accordance to recognized research methods. The paper provides a systematic literature review of the most significant scientific and industry publication in the years after the pandemic start. It is based on Kitchenham methodology of the systematic review with selected publication from recognized bibliographic databases. First part provides general effects of the pandemic to digital transformation of businesses all over the globe, mostly connected to analysis of the employees’ workplace preference. The second part is focused on digital workplace transformation and presents key theoretical and professional findings in the post-pandemic workplace. This part is consisted of the preview of benefits of the digital workplace transformation, identification of critical success factors and the most significant challenges of the process.

Palabras clave

  • digital transformation
  • digital workplace
  • COVID-19
  • change management
  • human resources
Acceso abierto

Changes in the international wine trade and policies for the promotion of moldovan wines

Publicado en línea: 12 Dec 2022
Páginas: 77 - 94

Resumen

Abstract

From an economic perspective, the COVID-19 crisis has been an exogenous shock to most local and international markets. Due to the COVID-19 pandemic, physical separation (or social distancing) to prevent the spread of the virus has led to feelings of isolation and loneliness, increasing the prevalence of depression, anxiety, post-traumatic stress disorders, and insomnia in the population. However, during the lockdown, technological devices have provided a way for people to maintain social connections with friends, family, their social networks, and/or the wider community. This article analyzes the changes on the international wine market and estimates the exports of Moldovan wine, especially in the neighboring region, which includes Romania, Ukraine and Bulgaria to Nigeria, considered a new market and characterized by the lack of traditions in wine consumption.

Palabras clave

  • international wine trade
  • Moldovan wines
  • policies for the promotion

JEL Classification

  • R11
  • F00
  • F53
  • L66
  • O24
  • H57
Acceso abierto

New approach to estimating macroeconomic determinants of informal employment

Publicado en línea: 12 Dec 2022
Páginas: 95 - 108

Resumen

Abstract

Informal employment is a less favourable type of employment whose levels policy makers usually want to decrease and move these workers in the formal part of the labour market. It is more commonly found in LDCs and in developing economies, than in developed ones. This paper uses a cross-section multiple regression analysis to check the effects of multiple macroeconomic variables on the size of the informal labour market. The sample is made out of economies for which ILO has published data about the share of employment outside the formal sector, excluding the economies that receive aid from IDA, using 2017, 2018 and 2019 data from the International Labour Organization and other international organizations. Results show that macroeconomic variables do not have significant explanatory power, except for unemployment rate, exports and GDP growth rate.

Palabras clave

  • informal labour
  • informal work
  • shadow economy
  • labour
  • macroeconomics
  • developing economies
  • globalisation

JEL Classification

  • E26
  • F66
  • J00
Acceso abierto

Customer churn prediction model: a case of the telecommunication market

Publicado en línea: 12 Dec 2022
Páginas: 109 - 130

Resumen

Abstract

The telecommunications market is well developed but is characterized by oversaturation and high levels of competition. Based on this, the urgent problem is to retain customers and predict the outflow of customer base by switching subscribers to the services of competitors. Data Science technologies and data mining methodology create significant opportunities for companies that implement data analysis and modeling for development of customer churn prediction models. The research goals are to compare different approaches and methods for customer churn prediction and construct different Data Science models to classify customers according to the probability of their churn from the company’s client base and predict potential customers who could stop to use the company’s services. On the example of one of the leading Ukrainian telecommunication companies, the article presents the results of different classification models, such as C5.0, KNN, Neural Net, Ensemble, Random Tree, Neural Net Ensemble, etc. All models are prepared in IBM SPSS Modeler and have a high level of quality (the overall accuracy and AUC ROC are more than 90%). So, the research proves the possibility and feasibility of using models in the further classification of customers to predict customer loyalty to the company and minimize consumer’s churn. The key factors influencing the customer churn are identified and form a basis for future prediction of customer outflow and optimization of company’s services. Implementation of customer churn prediction models will help to maintain customer loyalty, reduce customer outflow and increase business results

Palabras clave

  • marketing
  • classify customers
  • telecommunications market
  • machine learning
  • prediction
  • Data Science models

JEL Classification

  • C59
  • D11
  • M31
Acceso abierto

Innovation in tourism as a model of recovery in the postpandemic period

Publicado en línea: 12 Dec 2022
Páginas: 131 - 146

Resumen

Abstract

The COVID-19 virus pandemic has influenced tourism policy makers to change their decisions and management methods due to the new challenging situation. The inability to establish normal tourism business, due to difficult mobility of tourists and unfavorable epidemiological situation, has led to finding various innovative solutions that could help improve results in tourism. In addition to improve the current situation, the innovations introduced during the pandemic were aimed at bringing certain changes in the coming period, when the tourism industry is not burdened by the pandemic, which will accelerate the growth of the tourism economy. The main goal of this paper is to point out certain models of implementation of innovative solutions, which could affect the more dynamic development of tourism in Montenegro. The subject of research in this paper are innovations in tourism and their application with special reference to Montenegro. Montenegro has not yet fully recognized the importance of introducing innovations in tourism, so the next period should be dedicated to their implementation. The tourist offer of Montenegro should be enriched by the introduction of new specific forms of tourism, in order to adequately meet the demands of the main emitting markets. In addition to the innovative tourist offer, solutions should be sought in the integration of digital and virtual technologies into marketing functions, because the modern tourist business is increasingly relying on these technologies. Research has shown that it is necessary to work on creating new strategies and plans that will more studiously deal with this issue.

Palabras clave

  • innovation
  • pandemic
  • tourism
  • Montenegro
  • trends

JEL Classification

  • L83
  • Z32
  • O3
Acceso abierto

Analysis of the impact of macroeconomic factors on real estate prices in Bosnia And Herzegovina

Publicado en línea: 12 Dec 2022
Páginas: 147 - 160

Resumen

Abstract

Economic theory and practice are not acquainted with any unique set of macroeconomic factors that affect real estate prices. The very complexity of this phenomenon relativizes any attempt to establish an unchanged list of macroeconomic factors in BiH. The aim of the research in this paper is to analyze the impact of selected macroeconomic indicators on real estate prices in BiH, in the period from 2007 to 2019. Out of numerous macroeconomic factors that affect real estate prices (real estate prices are viewed as: the value of construction works done and as the value of new dwellings - new construction), 12 macroeconomic factors were singled out: nominal gross domestic product, real GDP growth rate, industrial production growth rate, GDP per capita, average net wages, imports and exports, household deposits in commercial banks, interest rate (housing loans, annual, %), loans to households, household final consumption expenditure, gross fixed capital formation and government final consumption expenditure. Starting from the hypothesis that macroeconomic factors affect real estate prices, it has been concluded that the selected factors significantly determine real estate prices and that most of the predictor variables defined in the model are significant, in terms of impact on the movement of GDP and real estate prices in Bosnia and Herzegovina in the period analyzed. The greatest impact on real estate prices is by household final consumption expenditure, GDP per capita, nominal GDP, interest rate, household deposits and real GDP growth rate. The research used factor analysis (reduction of macroeconomic factors to the optimal number of factors that explain the analyzed phenomenon and its impact on real estate prices) and an extended multiple linear regression model with a statistical software program SPSS, version 21. Modeling the impact of macroeconomic factors on real estate prices has macroeconomic effects and benefits for the country and contributes to the growth and well-being of operators in the real estate market.

Palabras clave

  • Real estate prices
  • GDP
  • Principal Component Analysis
  • Enter method
  • regression model

JEL Classification

  • C44
Acceso abierto

Factors of investment in renewable energy and energy efficiency in Algeria

Publicado en línea: 12 Dec 2022
Páginas: 161 - 181

Resumen

Abstract

Our paper aims to identify the most important factors determining companies’ decision to invest in the energy transition in Algeria. Energy transition has been many governments’ main topic of interest over the last decades, climate change has led many of them to establish long-term plans for a successful energy transition; these plans aim to reduce greenhouse gas emissions following the guidelines of the COP21. Through a quantitative approach, we have addressed a questionnaire to different companies operating in Algeria and have obtained a total of 117 responses. The results show that financial, technical and regulatory factors have minimal impact on companies’ decision to invest in renewable energy and energy efficiency in Algeria. Further studies should explore other investment factors to help accurately determine those that significantly impact companies’ decisions to invest in Algeria’s renewable energy and energy efficiency. Furthermore, targetting one sector at a time and exploring the alternatives of foreign direct investment in renewable energy can result in higher efficiency.

Palabras clave

  • Investment
  • renewable energy
  • energy efficiency
  • energy transition
  • Algeria

JEL Classification

  • O1
  • O14
  • Q2
0 Artículos
Acceso abierto

A multi-criteria approach to the comparative analysis of the global innovation index on the example of the Western Balkan countries

Publicado en línea: 12 Dec 2022
Páginas: 9 - 26

Resumen

Abstract

Innovation is crucial for the competitiveness of countries in the global market. Countries oriented to progress must invest in innovative activities. Using the example of the Western Balkan countries, this study investigated their innovative competitiveness. The indicators of the Global Innovation Index (GII) were used for the years 2019, 2020, and 2021. A multi-criteria approach was based on the innovative SMART approach. The weights of the criteria were determined using the CRITIC (criteria importance through intercriteria correlation) method, while the CRADIS (compromise ranking of alternatives from distance to ideal solution) method ranked the Western Balkan countries according to their innovative characteristics. The results showed that Montenegro had the best innovation indicators, followed by Serbia, while Albania had the worst indicators. This research showed an innovative approach of using four normalizations, and the advantages of these normalizations were used to contribute to stabilization in multi-criteria decision-making.

Palabras clave

  • informal labour
  • informal work
  • shadow economy
  • labour
  • macroeconomics
  • developing economies
  • globalisation

JEL Classification

  • O32
  • Q55
  • C54
Acceso abierto

Impact of energy innovations on the Ukraine’s economy: Strategic direction and managerial practices

Publicado en línea: 12 Dec 2022
Páginas: 27 - 44

Resumen

Abstract

Diversification of energy sources and innovative development of the energy sector are one of the main directions for ensuring sustainable development and decarbonization of the economy. The aim of the article is to identify connections and interactions between the parameters of energy innovation development and economic growth. Factor analysis was used for this purpose. The results and conclusions determine the most influential factors among the 5 components identified in accordance with the functional areas of innovative development of the national economy in energetics. The analysis allowed to identify the main trends in the development of factors, which allowed to identify positive and negative changes. The regularities of the influence of certain factors on energy innovations have been determined, which has allowed to provide recommendations for their further development and regulation

Palabras clave

  • energy innovations
  • multi-factor analysis
  • decarbonization of the economy.

JEL Classification

  • C01
  • Q20
  • Q40
Acceso abierto

Supply chain dynamics after the COVID-19 pandemic and stock market performance: Evidence from the US

Publicado en línea: 12 Dec 2022
Páginas: 45 - 62

Resumen

Abstract

Supply chain risk is a strategic issue for managing multinational companies, and Covid-19 has shown the relevance of this type of risk for the firm’s survival probability. The market may perceive the choice of replacing some of the main customers or suppliers as an increase or a decrease of the risk based on the features of the new supply chain members, and markets tend to penalize companies that increase their exposure to unaffordable events. During the pandemic, many supply chains suffered from glitches and companies were obliged to redefine their network by selecting their new strategic customers and/or suppliers.

The paper evaluates the supply chain composition strategies of a set of multinational companies based in the US during the last decade. It highlights the differences in supply chain management behavior before and during the pandemic. Data collected allow testing the impact on the stock market performance of modifying the supply chain network by adding new members that may have a different level of risk. Results show that the market reaction to supply chain updates changed after the Covid-19, and nowadays there is greater attention on the credit risk of the new companies entering the supply chain.

Palabras clave

  • Supply chain
  • Pandemic
  • Stock performance

JEL Classification

  • G11
  • M11
Acceso abierto

Digital Workplace Transformation: Innovative Approach After Covid-19 Pandemic

Publicado en línea: 12 Dec 2022
Páginas: 63 - 76

Resumen

Abstract

COVID-19 had undoubtedly speeded up adoption of digital technologies. Most of the theoreticians agree that changes that happened in the pandemic period would not happen in the next several years or even decades. There is almost no business operation that has not been affected by the pandemic, from customer relation and sales to supply chain. It influenced different business sectors leaving permanent change and making a significant proportion of organizations working in at least hybrid mode: combining digital and traditional pre-pandemic ways of working. COVID-19 had significantly changed the workplace and way of working. Workplace has shifted to digital or at least hybrid and employees and companies have adopted new ways of working, including usage of digital technologies but also accepting more agile and flexible procedures and rules. The research community has followed this phenomenon and tried to provide best possible recommendation to it accordance to recognized research methods. The paper provides a systematic literature review of the most significant scientific and industry publication in the years after the pandemic start. It is based on Kitchenham methodology of the systematic review with selected publication from recognized bibliographic databases. First part provides general effects of the pandemic to digital transformation of businesses all over the globe, mostly connected to analysis of the employees’ workplace preference. The second part is focused on digital workplace transformation and presents key theoretical and professional findings in the post-pandemic workplace. This part is consisted of the preview of benefits of the digital workplace transformation, identification of critical success factors and the most significant challenges of the process.

Palabras clave

  • digital transformation
  • digital workplace
  • COVID-19
  • change management
  • human resources
Acceso abierto

Changes in the international wine trade and policies for the promotion of moldovan wines

Publicado en línea: 12 Dec 2022
Páginas: 77 - 94

Resumen

Abstract

From an economic perspective, the COVID-19 crisis has been an exogenous shock to most local and international markets. Due to the COVID-19 pandemic, physical separation (or social distancing) to prevent the spread of the virus has led to feelings of isolation and loneliness, increasing the prevalence of depression, anxiety, post-traumatic stress disorders, and insomnia in the population. However, during the lockdown, technological devices have provided a way for people to maintain social connections with friends, family, their social networks, and/or the wider community. This article analyzes the changes on the international wine market and estimates the exports of Moldovan wine, especially in the neighboring region, which includes Romania, Ukraine and Bulgaria to Nigeria, considered a new market and characterized by the lack of traditions in wine consumption.

Palabras clave

  • international wine trade
  • Moldovan wines
  • policies for the promotion

JEL Classification

  • R11
  • F00
  • F53
  • L66
  • O24
  • H57
Acceso abierto

New approach to estimating macroeconomic determinants of informal employment

Publicado en línea: 12 Dec 2022
Páginas: 95 - 108

Resumen

Abstract

Informal employment is a less favourable type of employment whose levels policy makers usually want to decrease and move these workers in the formal part of the labour market. It is more commonly found in LDCs and in developing economies, than in developed ones. This paper uses a cross-section multiple regression analysis to check the effects of multiple macroeconomic variables on the size of the informal labour market. The sample is made out of economies for which ILO has published data about the share of employment outside the formal sector, excluding the economies that receive aid from IDA, using 2017, 2018 and 2019 data from the International Labour Organization and other international organizations. Results show that macroeconomic variables do not have significant explanatory power, except for unemployment rate, exports and GDP growth rate.

Palabras clave

  • informal labour
  • informal work
  • shadow economy
  • labour
  • macroeconomics
  • developing economies
  • globalisation

JEL Classification

  • E26
  • F66
  • J00
Acceso abierto

Customer churn prediction model: a case of the telecommunication market

Publicado en línea: 12 Dec 2022
Páginas: 109 - 130

Resumen

Abstract

The telecommunications market is well developed but is characterized by oversaturation and high levels of competition. Based on this, the urgent problem is to retain customers and predict the outflow of customer base by switching subscribers to the services of competitors. Data Science technologies and data mining methodology create significant opportunities for companies that implement data analysis and modeling for development of customer churn prediction models. The research goals are to compare different approaches and methods for customer churn prediction and construct different Data Science models to classify customers according to the probability of their churn from the company’s client base and predict potential customers who could stop to use the company’s services. On the example of one of the leading Ukrainian telecommunication companies, the article presents the results of different classification models, such as C5.0, KNN, Neural Net, Ensemble, Random Tree, Neural Net Ensemble, etc. All models are prepared in IBM SPSS Modeler and have a high level of quality (the overall accuracy and AUC ROC are more than 90%). So, the research proves the possibility and feasibility of using models in the further classification of customers to predict customer loyalty to the company and minimize consumer’s churn. The key factors influencing the customer churn are identified and form a basis for future prediction of customer outflow and optimization of company’s services. Implementation of customer churn prediction models will help to maintain customer loyalty, reduce customer outflow and increase business results

Palabras clave

  • marketing
  • classify customers
  • telecommunications market
  • machine learning
  • prediction
  • Data Science models

JEL Classification

  • C59
  • D11
  • M31
Acceso abierto

Innovation in tourism as a model of recovery in the postpandemic period

Publicado en línea: 12 Dec 2022
Páginas: 131 - 146

Resumen

Abstract

The COVID-19 virus pandemic has influenced tourism policy makers to change their decisions and management methods due to the new challenging situation. The inability to establish normal tourism business, due to difficult mobility of tourists and unfavorable epidemiological situation, has led to finding various innovative solutions that could help improve results in tourism. In addition to improve the current situation, the innovations introduced during the pandemic were aimed at bringing certain changes in the coming period, when the tourism industry is not burdened by the pandemic, which will accelerate the growth of the tourism economy. The main goal of this paper is to point out certain models of implementation of innovative solutions, which could affect the more dynamic development of tourism in Montenegro. The subject of research in this paper are innovations in tourism and their application with special reference to Montenegro. Montenegro has not yet fully recognized the importance of introducing innovations in tourism, so the next period should be dedicated to their implementation. The tourist offer of Montenegro should be enriched by the introduction of new specific forms of tourism, in order to adequately meet the demands of the main emitting markets. In addition to the innovative tourist offer, solutions should be sought in the integration of digital and virtual technologies into marketing functions, because the modern tourist business is increasingly relying on these technologies. Research has shown that it is necessary to work on creating new strategies and plans that will more studiously deal with this issue.

Palabras clave

  • innovation
  • pandemic
  • tourism
  • Montenegro
  • trends

JEL Classification

  • L83
  • Z32
  • O3
Acceso abierto

Analysis of the impact of macroeconomic factors on real estate prices in Bosnia And Herzegovina

Publicado en línea: 12 Dec 2022
Páginas: 147 - 160

Resumen

Abstract

Economic theory and practice are not acquainted with any unique set of macroeconomic factors that affect real estate prices. The very complexity of this phenomenon relativizes any attempt to establish an unchanged list of macroeconomic factors in BiH. The aim of the research in this paper is to analyze the impact of selected macroeconomic indicators on real estate prices in BiH, in the period from 2007 to 2019. Out of numerous macroeconomic factors that affect real estate prices (real estate prices are viewed as: the value of construction works done and as the value of new dwellings - new construction), 12 macroeconomic factors were singled out: nominal gross domestic product, real GDP growth rate, industrial production growth rate, GDP per capita, average net wages, imports and exports, household deposits in commercial banks, interest rate (housing loans, annual, %), loans to households, household final consumption expenditure, gross fixed capital formation and government final consumption expenditure. Starting from the hypothesis that macroeconomic factors affect real estate prices, it has been concluded that the selected factors significantly determine real estate prices and that most of the predictor variables defined in the model are significant, in terms of impact on the movement of GDP and real estate prices in Bosnia and Herzegovina in the period analyzed. The greatest impact on real estate prices is by household final consumption expenditure, GDP per capita, nominal GDP, interest rate, household deposits and real GDP growth rate. The research used factor analysis (reduction of macroeconomic factors to the optimal number of factors that explain the analyzed phenomenon and its impact on real estate prices) and an extended multiple linear regression model with a statistical software program SPSS, version 21. Modeling the impact of macroeconomic factors on real estate prices has macroeconomic effects and benefits for the country and contributes to the growth and well-being of operators in the real estate market.

Palabras clave

  • Real estate prices
  • GDP
  • Principal Component Analysis
  • Enter method
  • regression model

JEL Classification

  • C44
Acceso abierto

Factors of investment in renewable energy and energy efficiency in Algeria

Publicado en línea: 12 Dec 2022
Páginas: 161 - 181

Resumen

Abstract

Our paper aims to identify the most important factors determining companies’ decision to invest in the energy transition in Algeria. Energy transition has been many governments’ main topic of interest over the last decades, climate change has led many of them to establish long-term plans for a successful energy transition; these plans aim to reduce greenhouse gas emissions following the guidelines of the COP21. Through a quantitative approach, we have addressed a questionnaire to different companies operating in Algeria and have obtained a total of 117 responses. The results show that financial, technical and regulatory factors have minimal impact on companies’ decision to invest in renewable energy and energy efficiency in Algeria. Further studies should explore other investment factors to help accurately determine those that significantly impact companies’ decisions to invest in Algeria’s renewable energy and energy efficiency. Furthermore, targetting one sector at a time and exploring the alternatives of foreign direct investment in renewable energy can result in higher efficiency.

Palabras clave

  • Investment
  • renewable energy
  • energy efficiency
  • energy transition
  • Algeria

JEL Classification

  • O1
  • O14
  • Q2