Provincial Level Research Articles

The Spatial Spillover Effects of Transportation Infrastructure on Regional Economic Growth—An Empirical Study at the Provincial Level in China

This study examines the spatial spillover effects of transportation infrastructure on regional economic growth, utilizing panel data from 31 provincial-level administrative divisions in China from 2003 to 2022. Using the spatial Durbin model (SDM) and three distinct spatial weight matrices—0–1 adjacency, spatial economic–geographical nested, and GDP-based economic distance matrices—this study comprehensively analyzes the multifaceted impacts of transportation infrastructure. The results show that transportation infrastructure significantly promotes economic growth in both local and neighboring regions across all spatial weight matrices. The total effect is most pronounced in geographically proximate regions, with a coefficient of 7.845 (p < 0.01). Regions with similar economic development levels also show strong collaborative effects, with a coefficient of 2.074 (p < 0.01), although the marginal effect of transportation infrastructure diminishes. Furthermore, adjustments in industrial structure and innovation inputs demonstrate a short-term inhibitory effect on economic growth, highlighting the need for synchronized development of transportation infrastructure alongside industrial and innovation policies. This study incorporates multi-dimensional spatial weight matrices to systematically reveal the direct and indirect impacts of transportation infrastructure on regional economies, providing essential empirical support for regional coordination and infrastructure investment policies. The findings offer valuable insights for infrastructure planning in other regions, particularly in formulating policies that promote cross-regional economic cooperation and optimize resource allocation.

Exploring carbon footprints and carbon intensities of Indonesian provinces in a domestic and global context

Within Indonesia, the structure of consumption and production differs significantly across provinces. This implies that carbon footprints and intensities between provinces are also diverse. This paper calculates historical consumption- and production-based carbon emissions at the provincial level using a multi-scale input-output (IO) database for 2010, in which an environmentally extended multi-regional IO (EE MRIO) table for 34 Indonesian provinces is integrated in the global EE MRIO EXIOBASE with data for 43 countries and 5 rest of the world regions. Emissions from consumption are detailed by product and their points of origin, while emissions from production are detailed by industry and their destinations. Our results show the heterogeneity of Greenhouse Gas (GHG) emissions under both sides. The Java region is a net importer of carbon emission, while Sumatra and Kalimantan are net exporters. In the global context, the Asia Pacific region plays important role in national GHG emissions. Services product contributed 57.1% of national consumption-based GHG emissions, followed by manufacture (30.6%), and agriculture (12.3%). On the national level, 63.5% of national GHG emissions are related to household consumption. There is a high disparity across provinces in Indonesia in carbon footprints. Provincial average per capita carbon footprints vary from 2 t CO2e/capita in East Nusa Tenggara to 13.84 t CO2e/capita in East Kalimantan. Carbon intensity also varies from 0.83 kt CO2e/M Euro in Jakarta to 2.37 kt CO2e/M Euro in North Kalimantan. Agriculture and food products dominate household carbon footprints, while construction leads in government carbon footprints. Utilities and transportation services play important roles on national carbon intensities. We further correlated the Human Development Index (HDI) with per capita carbon footprints and expenditure, and find that provinces with similar GHG emissions and expenditure per capita income as Java, tend to have a lower HDI. Understanding development status and province-level characteristics is important for selecting policy strategies.

Strengths and Weaknesses of HIV Partner Notification Implementation in Iran.

HIV partner notification is a key intervention to facilitate access to HIV testing and treatment. This qualitative study investigated the strengths and weaknesses of the HIV partner notification program in Iran. Additionally, it provides comprehensive recommendations to mitigate potential harms and maximize the benefits of partner notification services. Using purposive sampling, 15 participants, including policymakers, service providers, and researchers in the field of HIV, were recruited from nine provinces between September and December 2023. The qualitative content analysis was conducted using the Graneheim and Lundman approach. Several strengths were reported for the HIV partner notification program, including alignment with international guidelines, use of trained counselors, integration with current HIV testing guidelines being used by HIV testing centers funded by the Ministry of Health, and a well-developed monitoring and evaluation plan at the facility, provincial, and national levels. Notable weaknesses of the program included a lack of a detailed implementation plan overall and for some key populations at high risk for HIV, such as female sex workers, lack of integration of the program with HIV testing services provided in hospitals and HIV centers funded by the Welfare Organization in Iran, lack of a simple quality checklist for monitoring and evaluation of the program. To increase the coverage and quality of the HIV partner notification program in Iran, a more detailed implementation plan, a simple quality checklist, and more targeted advocacy and training programs are needed.

Financial Mechanism for Sustainable Development of the Marine Economy with Respect to Technology, Digitalization, and Low Carbonization

This study explores the impact of regional financial development on the sustainable growth of the marine economy across 14 coastal cities in Guangdong Province from 2004 to 2022. To assess this, a comprehensive index system was developed to measure marine economic sustainability, incorporating key factors such as capital investment, production efficiency, and processing and trade. The findings indicate that financial development significantly enhances the sustainable growth of the marine economy. However, the interaction between financial development, technology digitalization, and low-carbon initiatives leads to diminishing returns in terms of sustainability. Through the use of the Moran index and the spatial Durbin model, the analysis reveals a dual outcome: while financial development positively influences a city’s marine economic sustainability, it exerts negative spillover effects on neighboring cities. Previous studies have primarily focused on the relationship between financial development and the marine economy at the national or provincial level, leaving a gap in understanding these dynamics at the city level. Furthermore, the coordination between financial development and marine economic sustainability across cities within the same region remains largely unexplored. This study addresses these gaps by investigating city-level dynamics and examining intercity coordination between financial development and marine economic growth. The results offer a novel perspective for policymakers, highlighting strategies to balance regional financing for the marine economy with targeted investments in science, technology, digitalization, and low-carbon initiatives. This approach seeks to optimize resource allocation and mitigate potential substitution effects. Ultimately, this research contributes to a more nuanced understanding of the complex interplay between financial development and the marine economy at both city and regional levels.

Substantial reduction in population exposure to sea level changes along the Chinese mainland coast through emission mitigation

Abstract Rising sea level increases the exposure to flooding and related damage in coastal areas with high population density and substantial economic activity. As global temperatures continue to rise due to climate change, sea levels have been consistently increasing and are projected to continue this upward trend. This study assesses the future exposure at provincial and city levels populations coastal mainland China coast to local sea level changes under five greenhouse gas (GHG) emission scenarios from IPCC-AR6, as well as two low-confidence scenarios accounting for the potential impact of uncertain ice sheet processes with low- and high-GHG emissions. We incorporate spatial heterogeneity into regional sea level projections and population projections from 2020 to 2100, extreme sea levels (ESLs) of 10-, 50-, and 100 year return periods (RP), and local coastal protection standards. Our findings indicate that the inundated areas expand continuously within the century with heightened exposure under higher emission scenarios. Although the coastal population is projected to decline, the fraction of the coastal population exposed to flooding increases across all scenarios, with accelerated growth under higher GHG emissions and higher ESLs. Zhejiang and Jiangsu emerge as the provinces most exposed to sea-level rise, whereas Taizhou, Nantong, Wuxi, Panjin, and Huzhou are identified as the top five cities with the highest population exposure to local sea level rise (SLR). Transitioning towards a sustainable scenario (i.e. SSP1-2.6) rather than a fossil fuel-intensive one (i.e. SSP5-8.5) can reduce the local SLR and substantially mitigate these exposures. Compared to the median projections under SSP5-8.5, aligning GHG emissions with SSP1-2.6 could reduce population exposure substantially in all coastal provinces, especially in Jiangsu, where population exposure to 100 year RP coastal floods would be reduced by ∼1.6 M in 2050 and by ∼5.4 M in 2100.

Evaluation of Resource and Environmental Carrying Capacity at Provincial Level in China Using a Pressure–Support–Adjustment Ternary System

Resources and environment are essential elements of social and economic development. Whether the current resources and environment can sufficiently support economic and social development is an important scientific issue. Existing studies have not reached a consensus on the definition, assessment, and forewarning methods of resource and environmental carrying capacity (RECC). Therefore, this study puts forward a ternary theoretical system of RECC from the perspective of pressure, support, and adjustment, constructs a novel evaluation indices system of RECC, introduces a ternary evaluation model, and proposes a hierarchical forewarning method of RECC with a threshold of 1. Furthermore, an empirical demonstration of 31 provinces in China is presented. The results show that: (1) the average RECC index of 31 areas revealed a downward trend from 2012 to 2021, indicating the gradually improving RECC; (2) the RECC indices of central areas were always high, which manifests the poor RECC; (3) the number of provinces with RECC at Alert Level III decreased from 18 to 7, and the number of provinces at Non-Alert Level increased from 6 to 8.

Decoupling effect and influencing factors of carbon emissions in China: Based on production, consumption, and income responsibilities

Carbon emissions at the provincial level are mostly calculated based on production responsibility, which ignores the carbon emission accounting perspectives of consumption and income responsibility. However, scientific accounting of carbon emissions from multiple perspectives is crucial to equitably distribute the responsibilities for reducing emissions. This study utilises an input‒output model for multi-regional carbon emissions to calculate carbon emissions from production-, consumption- and income-based perspectives for exploring the variability in the responsibilities for reducing emissions at the provincial level. The Tapio decoupling coefficient is used to analyse the relationship between carbon emissions and economic growth in key provinces, and the Logarithmic Mean Divisia Index (LMDI) model is used to determine the factors promoting or inhibiting the decoupling of carbon emissions under different responsibility perspectives. The results show that, firstly, the national carbon emissions illustrate the following trend: production-based emissions > income-based emissions > consumption-based emissions. Secondly, provinces in strong decoupling states are distributed in a northeast–southwest direction. Carbon emissions and decoupling situations differ among varying responsibility perspectives due to interprovincial transfers of carbon emissions. Thus, a compensation mechanism should be established to promote a fair and orderly peaking in each province. Lastly, carbon emission intensity is a factor promoting decoupling in all three perspectives. In the meantime, output scale, economic development and factor input are the major inhibiting factors for the decoupling of production-, consumption- and income-based emissions, respectively.

Rabies control costs at the provincial level: Who should pay more, the community or the government?

Background and Aim: Rabies is a zoonotic disease that persists endemic in numerous countries worldwide. In Vietnam, the main sources of rabies are dogs and cats, and they caused 76 human deaths annually by 2017–2021. Long An province has recently experienced an increasing burden of rabies, with seven fatal cases reported in the past 5 years. Various rabies control measures have been implemented in this province, including mass vaccination of the animal population, post-vaccination monitoring, diagnostic testing of suspected rabid dogs, dog bite investigation, animal management, pre-exposure treatment, post-exposure treatment (PET), and awareness programs. This study aimed to estimate the cost of rabies control measures for animals and humans in Long An province in 2022. Materials and Methods: An economic model was developed to estimate the costs of rabies control under two scenarios, with and without external financial support from the private sector. Inputs for the model included data from published literature, publicly available reports on rabies, government data, expert opinions, and a pilot study conducted in Vietnam. Results: The total annual costs of rabies control, with or without external support, were estimated to be VND 62.62 and 62.77 billion (equivalent to USD 2.67 and 2.68 million), respectively. The highest proportion of costs was related to PET in humans (84.50% and 84.30%), followed by the cost of mass vaccination paid by animal owners (14.28% and 13.90%). Most of the expenses were paid by the private sector (98.87% and 98.98%) rather than the public sector (1.14% and 1.20%). Conclusion: This study described a transparent and reproducible method for estimating the economic costs of rabies control at the provincial level. The economic model developed showed that control of rabies by mass vaccination is more cost-effective than using PET to prevent human death. The model can be applied to future economic analyses of rabies control in other provinces of Vietnam and other rabies-endemic countries. Keywords: animals, control measures, deterministic economic model, humans, rabies.

Representative CO2 emissions pathways for China's provinces toward carbon neutrality under the Paris Agreement's 2 °C target

China has committed to achieving carbon neutrality by 2060. It is essential to develop representative CO2 emissions pathways at the provincial level that align with the national target to facilitate effective policy implementation and scientific research. To address inconsistencies between provincial aggregate emissions and national estimates, this study compares the 2021 CO2 emissions estimates of China's provinces from the bottom‒up emissions factor method and the top‒down atmospheric CO2 concentration inversion method. We find that these methods yield comparable results for the emissions from energy combustion and industrial processes at the provincial level. Based on a review of existing research on CO2 pathways for China's provinces, we propose a set of representative pathways for China's provinces. These pathways align with past practices of allocating national emissions intensity reduction targets to provinces and are consistent with the national Tsinghua‒CMA pathway. The proposed pathways require provinces to sequentially peak their emissions by 2030, followed by rapid emissions reduction. Compared to a reference scenario without the carbon neutrality target, these pathways would incur an estimated cumulative GDP loss of about 1% between 2020 and 2060. However, there are notable regional variations, with some regions in the northwest potentially experiencing higher economic growth due to the availability of high-quality low-carbon resources. We recommend that China enhance provincial-level CO2 emissions accounting by cross-validating bottom‒up and top‒down methods. Additionally, careful consideration should be given to aligning provincial targets with national and global commitments when updating pathways toward carbon neutrality.

Income inequality, trust, and depressive symptoms among Chinese adults (CFPS): A causal mediation analysis

ObjectiveIncome inequality has been linked to depressive disorders, but the pathways behind this impact are insufficiently understood. Hence, we aimed to investigate the impact of income inequality on depressive disorders and evaluate the extent to which this impact is mediated by trust. MethodsTwo waves (2012 and 2018) of the China Family Panel Studies (CFPS) were included. Depressive symptoms were assessed using the 8-item Center for Epidemiologic Studies Depression scale (CESD8) and income inequality was measured using the Gini index calculated with household income. Based on the counterfactual framework, causal mediation analysis was applied with the difference-in-difference (DID) method. The sequential ignorability assumption, an important assumption for mediation analysis, was examined by propensity score matching (PSM) and simulation-based sensitivity analysis. ResultsCompared to the control group (Change of Gini index ≤0), CESD8 scores in the treatment group (Change of Gini index >0) increase by 0.233 (95 % CI: 0.039, 0.430), which 10.1 % (95 % CI: 3.1 %, 46.0 %) was mediated by reductions in trusts at the provincial level. At the county level, income inequality influences depressive symptoms through the indirect path (β=0.008, 95%CI: 0.001, 0.020) instead of the direct path (β= − 0.146, 95%CI: −0.287, 0.000). Dividing the trust, the significant indirect effect appeared in the trust in neighbors, foreigners, government, and doctors at the provincial level. LimitationThis study didn't deal with the impact of post-treatment confounders of the mediator-outcome relationship. ConclusionsSevere income inequality directly and indirectly exacerbated depressive symptoms. Government should carry out the implementation of decreasing income inequality and improving trust.

Health and Related Indicators, 2023

Aim This paper presents a comprehensive repository of data detailing the current status of the South African health system and the health status of its population. The focus is on national and provincial levels, encompassing sociodemographic indicators, determinants of health, health status indicators, and health service indicators. Methods Data were primarily sourced from national routine data systems, supplemented by major surveys and global reports. In line with the theme of the South African Health Review 2023, special emphasis was placed on indicators related to the burden of cancers in South Africa, access to cancer-related services, and, to some extent, outcomes. Results The findings indicate significant gaps in the availability of relevant and quality indicators, particularly concerning cancer, echoing challenges seen with other non-communicable diseases. While some data exist, they are often fragmented, outdated, or incomplete, limiting their utility in guiding effective policy-making and intervention strategies. Conclusions The limited availability of robust cancer-related data highlights the challenges in accurately assessing the burden of the disease and the effectiveness of current interventions. This scarcity of data impedes the ability to monitor progress and make informed decisions regarding cancer prevention, treatment, and palliative care.

Long Term Impact of Regionalization of Thoracic Oncology Surgery

In 2007, Cancer Care Ontario created Thoracic Surgical Oncology Standards for the delivery of surgery including lobectomy, esophagectomy and pneumonectomy. These standards regionalized thoracic surgery into designated centers and mandated physical and human resources. This analysis seeks to identify the impact of these standards, hereafter referred to as "regionalization", on outcomes after thoracic oncology surgery in Ontario, Canada. Population-level analysis of patients undergoing lobectomy, esophagectomy or pneumonectomy, using multi-level regression models to compare 30- and 90-day mortality and length of stay length of stay, before, during and after regionalization. Interrupted time series models were used to assess for an impact of regionalization, controlling for ongoing trends. A total of 22,195 surgeries (14,902 lobectomies, 4,958 esophagectomies, and 2,408 pneumonectomies) were performed within the study period. >99% of cases were performed at a designated center post-regionalization. Mean annual volumes per designated center increased post-regionalization for lobectomy and esophagectomy, and decreased for pneumonectomy. 30- and 90-day mortality and length of stay improved for lobectomy and esophagectomy over the study period, as did 90-day mortality for pneumonectomy. However, the interrupted time series analysis did not demonstrate any statistically significant effect of regionalization on these outcomes, separate from pre-existing trends. Consistent improvements in mortality and length of stay in thoracic surgical oncology occurred on a provincial level between 2003-2020, although this analysis does not attribute these improvements to implementation of Thoracic Surgical Oncology Standards including regionalization.

Climate Futures for Lizards and Snakes in Western North America May Result in New Species Management Issues.

We assessed changes in fundamental climate-niche space for lizard and snake species in western North America under modeled climate scenarios to inform natural resource managers of possible shifts in species distributions. We generated eight distribution models for each of 130 snake and lizard species in western North America under six time-by-climate scenarios. We combined the highest-performing models per species into a single ensemble model for each scenario. Maps were generated from the ensemble models to depict climate-niche space for each species and scenario. Patterns of species richness based on climate suitability and niche shifts were calculated from the projections at the scale of the entire study area and individual states and provinces, from Canada to Mexico. Squamate species' climate-niche space for the recent-time climate scenario and published known ranges were highly correlated (r = 0.81). Overall, reptile climate-niche space was projected to move northward in the future. Sixty-eight percent of species were projected to expand their current climate-niche space rather than to shift, contract, or remain stable. Only 8.5% of species were projected to lose climate-niche space in the future, and these species primarily occurred in Mexico and the southwestern U.S. We found few species were projected to lose all suitable climate-niche space at the state or province level, although species were often predicted to occupy novel areas, such as at higher elevations. Most squamate species were projected to increase their climate-niche space in future climate scenarios. As climate niches move northward, species are predicted to cross administrative borders, resulting in novel conservation issues for local landowners and natural resource agencies. However, information on species dispersal abilities, landscape connectivity, biophysical tolerances, and habitat suitability is needed to contextualize predictions relative to realized future niche expansions.

Measurement, spatial differences and driving effects of well-being levels in China.

As the largest developing country, China has accumulated enormous material wealth since its reform and opening-up policy. How to effectively evaluate the level of well-being in China has become a meaningful research endeavor. Using the entropy method, Dagum Gini coefficient and Logarithmic Mean Divisia Index (LMDI) decomposition methods, the study examines the spatial and temporal distribution characteristics, spatial differences and driving effects of provincial well-being levels from 2007 to 2020. The results of this study suggest that the level of well-being as a whole, as well as in the eastern, central and western regions increased significantly over the period, with an "east-to-west decreasing" distribution in China. In terms of the pattern of inter-provincial distribution, although the level of well-being in the central and western regions has improved at a faster rate, most provinces in the eastern region have always been among the leading teams on the path of livelihood development. There is still enormous room for improvement in the level of well-being in the central and western provinces. The overall differences in the development of well-being in China, as well as intra-regional and inter-regional differences among the three major regions, showed a narrowing trend. Intra-regional differences in the development of well-being are greatest in the western region, and inter-regional differences in the development of well-being are greatest in the eastern and western regions. Inter-regional differences are the main reason for the spatial differences in well-being among China's provinces. The combination of economic, social, ecological and technological effects has led to a gradual increase in the level of well-being over the sample period. Among them, economic, social and technological effects have a clear positive driving effect on the increase of well-being levels, while ecological effect have a certain negative driving influence.

HUMAN CAPITAL AND ECONOMIC GROWTH IN FUJIAN PROVINCE-CHINA

Human capital is a key factor in driving economic growth at both the national and provincial levels. This study aimed to evaluate how human capital influences economic growth in Fujian by examining data from 2008 to 2020. Numerous theoretical and empirical studies have confirmed approaches to measuring human capital through formal education, cost-based approaches, and income-based approaches. Based on these approaches, the research objective, and data availability, two variables were selected: trained labor and state budget expenditure on education. To examine the impact of human capital on economic growth, the study employs a multivariate OLS regression method with the following tests: Normal Distribution of Residuals, Heteroscedasticity, Autocorrelation, Multicollinearity. The analysis used trained labor and educational budget expenditure as indicators of human capital. The findings indicated that both trained labor and educational spending had a significant positive impact on Fujian's GRDP. While trained workers contributed to increasing the province's economic output, the current level of spending on education and training was not substantial enough to generate a strong effect on the economy. Therefore, Fujian should focus on developing a strategy to cultivate high-quality human capital and enhance the effectiveness of its investment in education and training in the coming years. As the province continues to modernize and integrate into the global economy, its ability to develop and retain a skilled workforce will be a key determinant of its success. The province's policy makers must adopt solutions that encourage workers to invest in improving their skills and productivity, while also fostering a learning culture. In the context of climate change and limited local resources, Fujian’s reliance on human capital will be critical in achieving its goal of becoming a leading province in the China and, eventually, a highly developed region in China by 2030.

Future pathways for green hydrogen: Analyzing the nexus of renewable energy consumption and hydrogen development in Chinese cities

Hydrogen energy offers a promising pathway for achieving zero-carbon urban energy consumption. This study quantitatively analyzes the patterns of hydrogen energy development and its linked to electricity consumption in China's urban areas. It investigates the spatial relationships between hydrogen energy expansion, the potential for green hydrogen production, and overall energy use. Utilizing a coupling coordination degree (CCD) model and a panel vector autoregressive (PVAR) model, the research explores the dynamic interactions between urban hydrogen energy development and the transition to renewable energy sources. In line with Chinese government policy, the study also conducts a scenario analysis of green hydrogen production by 2030, proposing a consumption strategy that balances environmental sustainability with economic growth. The key conclusions are as follows: (1) There is a spatial mismatch between the locations where hydrogen energy is being developed and where the potential for green hydrogen production is greatest. Cities with higher electricity consumption demonstrate stronger synergies in the coordinated development of hydrogen and renewable energy. (2) The development of hydrogen energy significantly accelerates the transition to renewable energy consumption in urban areas, with this impact being more substantial than that of the utilization capacity alone. (3) Hydrogen production in the Plan Scenario is significantly higher than in the Pessimistic Scenario, underscoring the critical importance of implementing renewable hydrogen projects in provinces with high production potential. Future trends in green hydrogen consumption at the provincial level indicate that addressing the challenges of efficient inter-provincial transportation of hydrogen energy remains essential.

Unpacking Province Creation in The Philippines

To enhance service delivery and local democracy, legislators have tinkered with size or status of local governments in the Philippines. This elasticity in local borders has been more evident at the province level, the highest local government tier. Since 1987, a new province is birthed roughly every three years. As the determinants and mechanisms of contemporary province fragmentation are under-examined, this article investigates, at several policymaking levels and dimensions, attempts to redraw borders of Philippine provinces. Framed by an institutional framework and a case-study approach, and employing a veto-player analysis, heuristic cases of two provinces (Quezon and Zamboanga del Sur) were unpacked and compared. Findings reveal that there is a large and fragmented veto-player group in the area of territorial rescaling of provinces. Congruence of preferences among veto players was observed to be influenced by territorial leveraging, pivot on networks and reciprocity norm, and mirroring of preferences. The tenacity and strategic actions of reform agent or policy entrepreneur (usually the congressman), sometimes assisted by social movement, is likewise found crucial in the pathways leading to reform outcomes. In a simple cross-case analysis of recent reform attempts, findings also suggest that the provinces’ core-periphery location pattern, and proposed type of spatio-jurisdictional partition are associated with reform outcomes.

Quantification and sensitivity assessment of Chinese provincial ecological compensation in the perspective of carbon deficit redistribution

The ecological compensation mechanism is a tool for managing regional development and promoting the green economy. This paper proposes a revised model for carbon emissions and absorption based on IPCC, then analyses the spatial and temporal variations of carbon emissions, absorption, and deficit in 31 provinces of China from 2001 to 2019. A model was developed to redistribute carbon deficits and compensate for ecological imbalances, with the aim of eliminating background differences between regions. The concept of ecological compensation sensitivity was proposed, and a redundancy analysis (RDA) was conducted to detect possible influencing factors. Results indicate that: (1) The carbon deficits were relatively substantial in the centre and developed coastal regions, which were the subject regions of China’s ecological compensation. Meanwhile, the northwest and southwest regions were the object regions of ecological compensation, and the compensated object regions tended to extend towards the southeast. The majority of compensated subject areas are generally less sensitive than compensated object regions. (2) The graph of carbon deficit volume over time shows that China’s two carbon targets are closely aligned. The distribution of China’s ecological compensation amounts follows the pattern of provincial economic development levels, with higher compensation amounts concentrated in the central and coastal regions. There is a positive correlation between GDP, year, and population size with carbon emission and carbon deficit. Additionally, there is a positive correlation between year, region, and carbon absorption. (3) This compensation model can strongly incentivise the compensation subject area to proactively adjust its economic development model to cope with the significant compensation pressure. Additionally, it can fully encourage the compensation recipient area to continue adhering to the green economic development model. The conclusions of the study hold significant reference value for promoting the development of a green, low-carbon economy.

Will large-scale low-carbon guidance activities improve residents’ green living standards? Evidence from China

In order to address the escalating climate change crisis and meet Net-Zero Emission targets, it is necessary to form a widespread green lifestyle as soon as possible. Based on annual panel data at the provincial level in China from 2008 to 2019, this paper systematically explores the impact of large-scale guidance activities on residents' green lifestyles by constructing a multi-period DID model. The results show that the national low-carbon pilot significantly improves the green living standards of residents, and these results remain robust after various rigorous tests. In addition, the results of heterogeneity analysis show that in areas with higher income levels and education levels, the low-carbon pilot projects have a better impact on improving residents' green lifestyles. Furthermore, this paper reveals that residents' environmental awareness and regional green innovation levels significantly and positively moderate the impact of the pilot projects on residents’ green lifestyles. This study expands our understanding of the mechanisms driving a green lifestyle, offering valuable insights for governments aiming to promote widespread adoption of green practices and formulate effective policies.

Trends in Government-Initiated Public Engagement in Canadian Health Policy From 2000 to 2021.

Canada has a rich history of public engagement in health policy; however, shifts in engagement practices over time have not been critically examined. We searched for cases of government-initiated public engagement in Canadian health policy from 2000 to 2021 at the federal, provincial (Ontario, British Columbia, Nova Scotia) and pan-Canadian levels. Government databases, portals and platforms for engagement were searched, followed by academic and grey literature using relevant search terms. A coding scheme was iteratively developed to categorize cases by target population, recruitment method and type of engagement. We identified 132 cases of government-initiated public engagement. We found a predominance of feedback and consultation engagement types and self-selection recruitment, especially at the federal level from 2016 onward. Engagements that targeted multiple populations (patients, public and other stakeholders) were favoured overall and over time. Just over 10% of cases in our survey mentioned efforts to engage with equity-deserving groups. Overall, our results identify a heavy reliance over time on more passive, indirect engagement approaches, which limit opportunities for collaborative problem solving and fail to include equity-deserving populations. Those overseeing the design and implementation of government-initiated public engagement will draw valuable lessons from this review to inform the design of engagement initatives.