Cambodian Green Economy Transition: Background, Progress, and SWOT Analysis

Rapid urbanization and economic growth in OECD member nations have intensified environmental challenges, notably the rise in carbon dioxide (CO2) emissions. Despite significant research on urbanization and growth, there is little knowledge of how these factors interact with green innovation to affect CO2 emissions. This study addresses this gap by exploring the impacts of urbanization, green innovation, and green growth on CO2 emissions in OECD countries. Using panel data analysis from 1996 to 2022, this study employs a robust econometric approach, including the Breusch–Pagan and Pesaran tests for cross-sectional dependency, the CIPS unit root test, and cointegration tests by Kao and Westerlund. The results confirm the complex interrelations of the variables by revealing notable cross-sectional dependence and heterogeneity among them. Both the Driscoll–Kraay and System GMM estimations demonstrate that green growth (GreG) and green innovation (GrI) significantly reduce CO2 emanations, while urbanization (U) has a notable inverse effect. Renewable energy consumption (REnC) also contributes to lower pollution emanations, whereas energy consumption (EnC) and natural resource dependency (NrD) worsen environmental degradation. The study emphasizes the need for green economic policies and innovations to slow climate change, support sustainable growth, and improve environmental quality.

Environmental Sustainability in OECD Nations: The Moderating Impact of Green Innovation on Urbanization and Green Growth

Chang,

Yasin,

Naqvi

2024

Impact of Green Technology Innovation on Green Economy: Evidence from China

Wang,

Du,

Liu

et al. 2024

The impact of green technology innovation and the digital economy on the sustainability of the green economy is increasing. To delve deeper into this subject, this paper utilizes fixed- effect models and threshold effect models. It examines data from 34 provincial administrative regions of China. The aim is to uncover the patterns of influence the green technology innovation and the digital economy have on the sustainability of the green economy. The research findings are as follows: (1) The green technology innovation, digital economy, and their interaction contribute to promoting the high-quality sustainability of the green economy. The sustainability of the green economy relies on the support of green technology innovation and the digital economy. By optimizing the capabilities of green technology innovation and the level of digital economy, managers could enhance the high-quality sustainability of the green economy. (2) The digital economy exhibits a dual threshold effect in driving the sustainability of the green economy through green technology innovation. When the digital economy surpasses the first threshold, the influence of green technology innovation on the green economy experiences a notable increase. However, once the digital economy surpasses the second threshold, the impact of green technology innovation on the green economy begins to diminish significantly. (3) There are notable regional variations in the impact of green technology innovation and digital economy on the sustainability of the green economy across different regions of China. Considering these findings, it is vital for stakeholders in China to implement customized measures. These measures should aim to actively promote the sustainability of China’s green economy. The relevant stakeholders include businesses and the government.

Impact of the Digital Economy on the Green Economy: Evidence from China

Wang,

Liu,

et al. 2024

In recent years, the digital economy and the green economy have become integral parts of China’s economy. Chinese government has been actively expanding its support for the development of these sectors. However, there are still several obstacles hindering the progress of the digital economy and the green economy in China. The objective of this study is to delve into the impact mechanism of the digital economy on the green economy. Moreover, this paper innovatively integrates industrial structure and technological innovation into this impact process. We elucidate the significant roles played by these two mediating variables. Simultaneously, we employ the bidirectional fixed-effect model, baseline regression, and robustness tests to analyze the data from 31 provinces in China between 2012 and 2021. The conclusions of this study are as follows: (1) The development of the digital economy in China contributes to the improvement of the level of the green economy. (2) When the digital economy influences the green economy, the upgrading of industrial structure and technological innovation play significant roles. (3) The impact of the digital economy on the green economy varies across diverse regions in China. This study reveals the impact mechanism of the digital economy on the development of the green economy using variables of industrial structure and technological innovation. It enriches the research content in this field and extends the application scenarios of related research methods. The conclusions provide valuable references for promoting the development of both the digital economy and the green economy in China.