Dynamic linkages between climatic variables and agriculture production in Malaysia: a generalized method of moments approach
In: Environmental science and pollution research: ESPR, Band 29, Heft 27, S. 41557-41566
ISSN: 1614-7499
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In: Environmental science and pollution research: ESPR, Band 29, Heft 27, S. 41557-41566
ISSN: 1614-7499
In: Population review: demography of developing countries, Band 60, Heft 2, S. 142-165
ISSN: 1549-0955
In: Environmental science and pollution research: ESPR, Band 24, Heft 3, S. 2304-2315
ISSN: 1614-7499
In: Economic change & restructuring, Band 56, Heft 3, S. 1725-1752
ISSN: 1574-0277
In: Marine policy, Band 138, S. 105010
ISSN: 0308-597X
In: Environmental science and pollution research: ESPR, Band 30, Heft 22, S. 63096-63108
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 22, Heft 20, S. 16153-16163
ISSN: 1614-7499
In: Journal of international development: the journal of the Development Studies Association, Band 36, Heft 2, S. 1324-1349
ISSN: 1099-1328
AbstractIn empirical studies, the disparity between financial development and environmental quality has prompted us to examine the impact of credit growth on environmental quality in ASEAN countries. These countries have experienced phenomenal credit growth over the past three decades due to their adoption of financial liberalisation, integration and innovation. In this study, we investigated the role of credit growth on environmental quality while controlling for several macroeconomic variables, including regulatory quality, natural resources, foreign direct investment, globalisation and per capita gross domestic product growth. Using static models (ordinary least square [OLS], random effect model, Panel Corrected Standard Error and partial spatial cross correlation) and dynamic models (dynamic OLS, dynamic random effect and two‐step system generalised methods of moments (GMM) on data spanning from 1984 to 2019, we observed a nonlinear association between credit growth and environmental quality. The findings suggest that credit growth may simultaneously have favourable and detrimental effects on environmental quality. High credit growth can lead to increased emissions and environmental degradation through the promotion of fossil fuel‐driven energy consumption, production and distribution of economic resources. However, if the government promotes regulatory quality and encourages lenders to invest more in green technologies and renewable and sustainable energy sources, credit growth may contribute to improved environmental quality. These results carry important policy implications.
In: Environmental science and pollution research: ESPR, Band 22, Heft 12, S. 9494-9504
ISSN: 1614-7499
In: Humanities and Social Sciences Communications, Band 11, Heft 1
ISSN: 2662-9992
AbstractIn Malaysia's rapid economic growth and industrialization, environmental degradation and carbon emissions pose significant challenges. As urbanization continues to rise, there is a growing recognition of the imperative to tackle CO2 emissions. Trade openness and globalization drive economic activity but also heighten environmental pressures, including CO2 emissions from transportation and industry. Information communication technology (ICT) usage, shaped by infrastructure and regulations, can either improve energy efficiency or increase energy consumption. The study examines the impacts of economic growth (EG), trade openness (TON), technological innovation (TIN), and ICT on CO2 emissions in Malaysia, using both symmetric and asymmetric methods from 1985 to 2021. While many studies have explored environmental degradation, focusing on CO2 emissions and ecological footprint indicators, only a limited number have delved into the combined impact of sustainable EG, TON, ICT, and TIN on Malaysia's CO2 emissions. Notably, these studies have often neglected the utilization of both symmetric and asymmetric methodologies. Hence, this study employed auto-regressive distributed lag (ARDL) and non-linear ARDL approaches to investigate the dynamic effects of the studied variables. The key findings from the symmetric analysis demonstrate that EG, TON, and ICT together take part in the increase of CO2 emissions in both the short and long run. Particularly, technological innovation plays a significant role in reducing CO2 emissions in the short term through the adoption of cleaner technologies. However, the results of the NARDL bound test reveal asymmetric long-term consequences of technological innovation, economic growth, and ICT on CO2 emissions. The study underscores the need for CO2 reduction policies in Malaysia, advocating for measures, such as incentivizing cleaner technologies and upgrading energy infrastructure. It also recommends implementing carbon pricing mechanisms for production and trade, alongside awareness campaigns to foster behavioral changes aimed at reducing emissions.