Akademik Məlumat İdarəetmə Sistemi
Müəllif:
Şirvanova Təranə Əmirağa qızı – İqtisadiyyat kafedrasının baş müəllimi
Elmi əsərin adı:
Towards sustainability: Spatial analysis of renewable energy, environmental pollution, and economic growth in Chinese regions
Link:
https://www.scopus.com/pages/publications/105030068083
Elmi nəşrin adı:
Energy Strategy Reviews
Elmi əsərin nəşrin rəsmi saytındakı linki:
https://www.sciencedirect.com/science/article/pii/S2211467X26000283?via%3Dihub
Kvartil: Q1
Həmmüəllifin təmsil etdiyi ölkələr: Çin, Özbəkistan
Xülasə:
The increasing urgency to address climate change
has intensified the need for a deeper understanding of how renewable energy
adoption, environmental pollution, and economic growth interact, particularly
within spatially interconnected regions where cross-border externalities and
policy spillovers fundamentally shape environmental outcomes. This study
investigates the dynamic and spatially distributed relationships among
renewable energy consumption, carbon dioxide emissions, and economic
development across 31 Provincial administrative Units(Including provinces,
autonomous regions, municipalities, and SAR hereinafter refered to as
provinces) over the period 2000 to 2023, employing advanced spatial econometric
techniques that explicitly account for geographical interdependencies often
overlooked in conventional panel data analyses. Utilizing both static and
dynamic Spatial Durbin Models alongside comprehensive robustness checks
including alternative spatial weight matrices and model specifications, the
analysis captures direct within-country effects, cross-border spillover
effects, and feedback mechanisms that traditional non-spatial approaches fail
to identify. The empirical findings reveal that renewable energy adoption
generates substantial emissions reductions both domestically and regionally,
with a one percent increase in renewable energy share reducing a country's own
CO2 emissions by 0.259 percent while simultaneously decreasing
emissions in neighboring countries by 0.047 percent through mechanisms
including technology diffusion, cross-border electricity trade, and policy
emulation. Economic growth exhibits a nonlinear inverted U-shaped relationship
with pollution consistent with the Environmental Kuznets Curve hypothesis, with
high-income Provinces having surpassed the turning point at approximately
$8,000 to $12,000 GDP per capita, beyond which additional economic development
contributes to emissions reduction rather than environmental degradation.
Industrial activities demonstrate a negative association with emissions when
integrated with decarbonization technologies and cleaner production processes,
challenging conventional assumptions about the inevitable environmental costs
of industrialization. Cross-border trade, contrary to the Pollution Haven
Hypothesis, exerts a negative total effect on emissions of 0.493 percent,
reflecting China's structural shift toward high-value, low-emission goods and
services alongside harmonized environmental standards that prevent the
outsourcing of pollution-intensive activities. Spatial diagnostic tests
including Moran's I statistics and LISA cluster maps confirm persistent
positive spatial autocorrelation in emissions throughout the study period,
validating the necessity of spatial modeling approaches, while the spatially
lagged dependent variable coefficient of 0.074 demonstrates that emissions
levels in neighboring countries directly influence domestic environmental
outcomes. Effect decomposition analysis reveals that 72 percent of renewable
energy's total impact operates through direct domestic channels while 28
percent manifests as cross-border spillovers, highlighting the substantial
regional externalities generated by national-level clean energy investments.
Dynamic specifications incorporating temporal lags confirm the persistence and
amplification of these relationships over time, with renewable energy effects
strengthening in recent years due to technological improvements, falling costs,
and policy reinforcement. These results underscore the critical importance of
coordinated regional policies that promote renewable energy diffusion through
targeted investment mechanisms s, facilitate cross-border grid integration to
enable efficient redistribution of clean electricity, harmonize environmental
regulations to internalize spatial externalities, and provide differentiated
support for lagging economies to achieve sustainable and spatially inclusive
environmental outcomes across China. The study contributes methodologically by
demonstrating the superiority of spatial econometric approaches over
traditional panel methods in capturing the complex interdependencies
characterizing integrated regional systems, and empirically by providing robust
quantitative evidence on the magnitude and pathways of renewable energy
spillovers that can inform evidence-based climate policy design. Policy
implications emphasize that isolated national strategies are insufficient in
spatially interconnected contexts, and that maximizing collective environmental
benefits while ensuring equitable transitions requires supranational
coordination, strategic infrastructure investments, technology transfer
mechanisms, and institution-building support for regions with limited renewable
energy capacity or weaker governance structures. © 2026 The Authors.