Increasing the productivity of manufacturing firms in Cameroon in a sustainable way: Renewable or non-renewable energy?

被引:2
|
作者
Bertrand, Nguenda Anya Saturnin [1 ]
Etienne, Koumou Landry [1 ]
机构
[1] Univ Douala, Fac Econ & Appl Management, Douala, Cameroon
关键词
form of energy; energy consumption; manufacturing industry; agri-food; capital; labor; raw materials; GROWTH; EFFICIENCY; INEFFICIENCY; CHINA;
D O I
10.21511/ee.13(1).2022.03
中图分类号
F [经济];
学科分类号
02 ;
摘要
The question of what energy form should guarantee firm productivity in the future is becoming increasingly important, considering the risk that the gradual depletion of the world's non-renewable energy reserves poses to the continuity of productivity. This study aims to assess the effect of individual energy forms on productivity growth of manufacturing firms in Cameroon. This paper uses a two-stage stochastic frontier method to determine the energy form that is most likely to ensure the continuity of the productivity of manufacturing firms in Cameroon in the next few years. The data for the study came from the Annual Enterprise Surveys (EAE) conducted by the National Institute of Statistics of Cameroon (NIS) from 2012 to 2019. The analysis data constitute a panel of 288 representative firms. Factors that primarily explain firm productivity were value-added, renewable and non-renewable energy, capital, labor, and raw materials. The study analyzed the entire manufacturing industry, agri-food sector, and other manufacturing industries. Despite being a group estimate, individual firms are taken into account. Across the manufacturing industry in Cameroon, the results indicate that renewable energy is the most advantageous form. Indeed, this form would cause a 9.27% increase in productivity for a one percentage point increase. However, as the impact coefficients are insignificant, it is difficult to assess the contribution of non-renewable energy to firm productivity.
引用
收藏
页码:28 / 37
页数:11
相关论文
共 50 条
  • [21] Conditional capital surplus and shortfall across renewable and non-renewable resource firms
    Irawan, Denny
    Okimoto, Tatsuyoshi
    ENERGY ECONOMICS, 2022, 112
  • [22] Rural energy development in Iran: Non-renewable and renewable resources
    Ardehali, MM
    RENEWABLE ENERGY, 2006, 31 (05) : 655 - 662
  • [23] Review of the Transition to Energy 5.0 in the Context of Non-Renewable Energy Sustainable Development
    Zhironkin, Sergey
    Abu-Abed, Fares
    ENERGIES, 2024, 17 (18)
  • [24] Criticality of sustainable research and development-led growth in EU: the role of renewable and non-renewable energy
    Nezir Kose
    Festus Victor Bekun
    Andrew Adewale Alola
    Environmental Science and Pollution Research, 2020, 27 : 12683 - 12691
  • [25] Evolution of energy mix in emerging countries: Modern renewable energy, traditional renewable energy, and non-renewable energy
    Shrestha, Anil
    Mustafa, Andy Ali
    Htike, Myo Myo
    You, Vithyea
    Kakinaka, Makoto
    RENEWABLE ENERGY, 2022, 199 : 419 - 432
  • [26] Criticality of sustainable research and development-led growth in EU: the role of renewable and non-renewable energy
    Kose, Nezir
    Bekun, Festus Victor
    Alola, Andrew Adewale
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (11) : 12683 - 12691
  • [27] Models for Predicting Non-Renewable Energy Competing with Renewable Source for Sustainable Energy Development: Case of Asia and Oceania Region
    Ikram M.
    Global Journal of Flexible Systems Management, 2021, 22 (Suppl 2) : 133 - 160
  • [28] Analysis of the Situation of Renewable and Non-Renewable Energy Consumption in the European Union
    Anghelache, Constantin
    Anghel, Madalina Gabriela
    Iacob, Stefan Virgil
    Partachi, Ion
    Radulescu, Irina Gabriela
    Brezoi, Alina Gabriela
    ENERGIES, 2023, 16 (03)
  • [29] The relationship amongst energy consumption (renewable and non-renewable), and GDP in Algeria
    Amri, Fethi
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 76 : 62 - 71
  • [30] Analyzing of Renewable and Non-Renewable Energy consumption via Bayesian Inference
    Nadimi, Reza
    Tokimatsu, Koji
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY, 2017, 142 : 2773 - 2778