Research Publications Authored by SLIIT Staff

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This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.

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    PublicationOpen Access
    Environmental Degradation and Its Implications for Forestry Resource Efficiency and Total Factor Forestry Productivity in China
    (Multidisciplinary Digital Publishing Institute (MDPI), 2025-07-15) Wu, F; Yasmeen, R; Xu, X; Kankanam Pathiranage, H. M; Shah,W.U.H; Shen, J
    Environmental costs (carbon emissions) have come with China’s economic rise, and its forestry sector now faces difficulties in maintaining both its profit and the health of its ecosystems. This study assesses the impact of carbon emissions on forestry efficiency and total factor productivity (TFFP) in China’s 31 provinces between 2001 and 2021. Using the data envelopment analysis (DEA) model through the slack-based measure (SBM framework) and Malmquist–Luenberger index (MLI), we examine the efficiency and productivity growth of forestry, both with and without accounting for carbon emissions. The study reveals that when carbon emissions are not taken into account, traditional measures of productivity tend to overstate both efficiency and total factor forestry productivity (TFFP) growth, resulting in an average of 7.7 percent higher efficiency and 1.6 percent of additional TFFP growth per year. If we compare the regions, coast provinces with stricter technical regulations have improved efficiency in usage, but places like Tibet and Qinghai, with more vulnerable ecosystems, endure harsher consequences. Regardless of incorporating bad output into the TFFP estimation, China’s growth in forestry productivity primarily depends on efficiency change (EC) rather than technological change (TC).
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    PublicationOpen Access
    Understanding the interplay of GDP, renewable, and non-renewable energy on carbon emissions: Global wavelet coherence and Granger causality analysis
    (PLoS ONE, 2024-09-19) Caldera, Y; Ranthilake, T; Gunawardana, H; Senevirathna, D; Jayathilaka, R; Rathnayake, N; Peter, S
    This study examines the causality of Per Capita Gross Domestic Production (PGDP), Renewable Energy Consumption (REC), and Non-Renewable Energy Consumption (NREC) on Carbon dioxide (CO2) emissions at the global level utilising data gathered from 1995 to 2020 across various countries categorised based on income levels as High, Low, Upper Middle and Lower Middle and analysed through wavelet coherence. The findings reveal both bidirectional and unidirectional causality between the variables which have evolved. Globally, a bi-directional relationship is observed with a positive correlation between PGDP and NREC and in contrast, a negative correlation with REC. Furthermore, the analysis highlights varying causalities between CO2 emissions and PGDP, except for high-income and lower-middle-income country categories, all other shows one-way causality in different periods in the short term. Moreover, CO2 and REC, show unidirectional causality throughout the short-term, exceptionally medium & long term have both unidirectional and bidirectional causalities across all country categories with a positive correlation. In contrast, CO2 and NREC depict similar causalities to REC, however, with a negative correlation. A cross-country analysis was performed between CO2 and PGDP, CO2 and REC, and CO2 and NREC using Granger causality which shows mixed relationships. The findings hold significant implications for policymakers, providing valuable insights into the trade-offs between economic growth, energy consumption, and carbon emissions.
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    PublicationOpen Access
    Nexus between carbon emissions, energy consumption, and economic growth: Evidence from global economies
    (PLOS ONE, 2023-06-23) Dissanayake, H; Perera, N; Abeykoon, S; Samson, D; Jayathilaka, R; Jayasinghe, M; Yapa, S
    Renewable energy holds a remarkable role in clean energy adaptation due to the much lower carbon footprint it releases compared to other fossil fuels. It also has a positive impact by slowing down the rate of climate change. The study has examined the links between renewable and non-renewable energy use, CO2 emissions and economic growth in developed, developing, and LDCs and Economies in Transition between 1990 and 2019 in 152 countries. Granger-causality has been used as the methodology to investigate the link between the variables. The findings of the existing studies on the relationship between the consumption of renewable and non-renewable energy sources and economic growth are inconsistent, indicating that there may or may not be a relationship between the two factors. Apart from having a few empirical studies so far have examined the link between the above-mentioned variables, analysis has yet to encompass all the regions in the four sub-groups discussed above. The results indicated that no Granger-causal relationship exists between GDP and REC outside of Economies in Transition. Additionally, the GDP and CO2 of all countries have a one-way relationship. Nevertheless, research indicates that GDP and CO2 have a bi-directional link in Economies in Transition, a uni-directional relationship in developing countries, and no meaningful association in developed and LDCs. Therefore, it is essential to emphasise actions to lower CO2 emissions and develop renewable energy while also stimulating the economy. Ultimately, more nations should choose renewable energy sources to build a more sustainable future.