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The three challenges with the greatest bearing on Australia's security and prosperity each came to a head in 2020, viz. climate change; a novel coronavirus pandemic; and China. The world has become poorer, more dangerous and more disorderly. As we emerge from this crisis year, Australia's ability to project itself globally will start with its strength and vitality at home. Its favourable geography gives it the potential to become a leader in renewables. Given our geopolitical challenges, this is a strategic imperative. Yet, for now, the gap between reality and expectations has never been greater. [ABSTRACT FROM AUTHOR]

With the increase in global temperature, the global change situation dominated by climate warming is becoming more and more serious. Climate change will cause differences in the suitable areas of species in different periods. Ginkgo biloba L., a rare and endangered wild plant protected at the national level in China, is the oldest relict plant in the world. Because of severe climate change, only China's wild Ginkgo biloba has been preserved, yet China's wild Ginkgo biloba population is facing extinction risk. Ginkgo biloba has rich ornamental value, application value, economic value, medicinal value and ecological value. Not only can it produce economic and ecological benefits, but it can also produce huge social benefits. Based on the data of Ginkgo biloba sample distribution, bioclimatic variables and soil variables, this paper uses the MaxEnt model to simulate Ginkgo biloba suitable area under current and future different climate scenarios, and analyzes the changes in the potential suitable area of Ginkgo biloba in the future through ArcGIS 10.6. The results are as follows: (1) the results simulated by the MaxEnt model are AUC > 0.9, showing that the simulation results have a high accuracy; (2) the min temperature of the coldest month, precipitation of the wettest month, elevation, and temperature seasonality are the main environmental variables affecting the change in the Ginkgo biloba suitable area; (3) under future climate scenarios, the suitable area of Ginkgo biloba is predicted to expand in the future, covering most of the south and some northeast regions, and moderate temperature and precipitation changes under climate change are conducive for the growth of Ginkgo biloba; and (4) in the future, the distribution center of the suitable area will move to the northeast. According to the conclusions in this paper, it is expected to provide theoretical reference for cultivation and management, sustainable utilization and solution of ecological environment problems of Ginkgo biloba. [ABSTRACT FROM AUTHOR]

CO2 is one of the primary greenhouse gases impacting global climate change, making it crucial to understand the spatiotemporal variations of CO2. Currently, commonly used satellites serve as the primary means of CO2 observation, but they often suffer from striping issues and fail to achieve complete coverage. This paper proposes a method for constructing a comprehensive high-spatiotemporal-resolution XCO2 dataset based on multiple auxiliary data sources and satellite observations, utilizing multiple simple deep neural network (DNN) models. Global validation results against ground-based TCCON data demonstrate the excellent accuracy of the constructed XCO2 dataset (R is 0.94, RMSE is 0.98 ppm). Using this method, we analyze the spatiotemporal variations of CO2 in China and its surroundings (region: 0°–60° N, 70°–140° E) from 2019 to 2020. The gapless and fine-scale CO2 generation method enhances people's understanding of CO2 spatiotemporal variations, supporting carbon-related research. [ABSTRACT FROM AUTHOR]

The Chinese Communist Party and its supporters are increasingly using social media platforms to shape China's public image. This online image is a means of strengthening domestic nationalism and of projecting "soft power" abroad. This paper examines various forms of anti-Westernism that are central to this image-making. It analyzes several recent topics—the Belt and Road Initiative, climate change, the COVID-19 vaccine, the Beijing Olympics, and the conflict in Ukraine—on the r/Sino subreddit page of Reddit and compares them with two online news outlets, the South China Morning Post and China Daily. The paper focuses on how these media frame the contest between a rising China and a failing West, so creating a discourse that competes with the negative portrayals of China outside the country. The paper contrasts the aggressive strengthening of China's image against the West on social media with more sober accounts of the same topics in China's official media and in commercial news outlets. The contribution of the paper is to document an emerging online anti-Westernism that is playing an increasing role in the changing geopolitical landscape. [ABSTRACT FROM AUTHOR]

On 20 July 2021, an extreme rainstorm battered Zhengzhou in China's Henan Province, killing 302 people, including 14 individuals who drowned in a subway tunnel and 6 who drowned in a road tunnel. As the global climate warms, extreme weather events similar to the Zhengzhou flood will become more frequent, with increasingly catastrophic consequences for society. Taking a case study-based approach by focusing on the record-breaking Zhengzhou flood, this paper examines the governance capacity of inland cities in North China for managing extreme precipitation and flooding events from the perspective of the flood risk management process. Based on in-depth case analysis, our paper hypothesizes that inland cities in North China still have low risk perceptions of extreme weather events, which was manifested in insufficient pre-disaster preparation and prevention, poor risk communication, and slow emergency response. Accordingly, it is recommended that inland cities update their risk perceptions of extreme rainfall and flooding events, which are no longer low-probability, high-impact "black swans", but turning into high-probability, high-impact "gray rhinos." In particular, cities must make sufficient preparation for extreme weather events by revising contingency plans and strengthening their implementation, improving risk communication of meteorological warnings, and synchronizing emergency response with meteorological warnings. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Planning Education & Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of International Business Studies is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper proposes a conceptual and analytical framework of states' legitimacy-seeking to comprehensively investigate the motivation behind China's climate and environment policy. While previous research has largely overlooked political factors that underlie China's climate policy, this paper argues that these factors are crucial in understanding China's policy changes, which are evident at both domestic and international levels. By examining sources such as government documents, leaders' speeches and authoritative literature, this study contends that China's climate change initiatives are part of a broader effort to enhance domestic and international legitimacy. The issue of climate change has become highly politicised in China under the leadership of President Xi Jinping, and it serves as a crucial test of the ruling party and the state's capacity to govern effectively. As such, legitimacy-seeking is the key driver that links China's domestic measures and international commitments. [ABSTRACT FROM AUTHOR]

Henan Province is the birthplace of Chinese civilization and one of the earliest human settlements, which means that the area has an important national cultural heritage. Traditional villages are an important facet of this cultural heritage, and studying their spatiotemporal characteristics in different periods has important theoretical and practical significance for the sustainable development and protection of cultural heritage in the region. This paper takes the traditional villages of the Yellow River basin in Henan Province that were formed before 1919 as the research object. Information on the ancient river was obtained through a literature search as well as via field research, and the important tributaries of the Yellow River in different periods were mapped using ArcGIS 10.0 software. The nearest neighbor index, kernel density estimation, standard deviation ellipse and other methods were adopted to analyze the spatiotemporal characteristics of the traditional villages. The factors that influenced the evolution of traditional villages were explored in depth by combining changes in the course of the river and water conservancy projects. The results show that the formation of traditional villages along the Yellow River in Henan Province has experienced a historical track of growth, contraction, growth and prosperity and stability. The traditional villages along the Yellow River in Henan Province generally show a clustered pattern, forming a dense concentration of traditional villages in the middle reaches of the Yellow River. The center of gravity shows a migration trend from southeast to northwest. In terms of influencing factors, the spatiotemporal evolution of the relationship between villages and their distance to water is closely related to climatic fluctuations, changes in channel, water conservancy projects and social and cultural factors. This paper deepens our understanding of the relationship between traditional village evolution and watersheds by improving the consistency between village spatial distribution and historical geography and provides a useful theoretical reference for the sustainable development of China's traditional villages. [ABSTRACT FROM AUTHOR]

We estimate the relationship between high‐temperature exposure and land transaction using daily transaction data from 2013 to 2018 in China. Standard hedonic price method is used to perform multidimensional fixed effects regression on 458,564 transaction samples. This study shows that each additional day of the extremely high temperature increases the average bid price by 0.6%, which is equivalent to an additional annual increase of 15.018 billion yuan in land transaction costs. The effect of high temperature on land prices is considerably stronger for residential and commercial lands. We further find that high‐temperature‐induced changes of mood and cognition play a role. Extreme gradient boosting (XGBoost) algorithm is used to calculate price deviation, which overcome missing eigenvalues and reduce nonlinear measurement error. Our findings indicate that heat can make investors more aggressive, which occurs when bidders continue to raise prices to win. The number of bidding behavior will not drop due to the hidden costs of land transactions. Specially, bidding experience offsets the cognitive output bias. This study contributes to the behavioral finance and decision‐making literature, helps investors make better investment management decisions, and alleviates the negative effect of land transaction premium on the real estate market. Plain Language Summary: Extreme temperatures are becoming more frequent due to climate change. Extreme temperature can affect people's cognitive performance. Using large‐scale land transaction data and a fixed‐effects model, this paper analyzes the impact of extreme temperature on decision‐making. Results show that each additional day of extremely high temperature increases the average bid price by 0.6%, which is equivalent to an additional annual increase of 15.018 billion yuan in land transaction costs. This paper analyzes the impact of extreme temperature on human cognitive performance from the perspective of e climate change and uses land transaction behavior as a measure of decision‐making to reveal the mechanism of climate change affecting cognitive performance. Key Points: Each additional day of the extremely high temperature increases the average bid price by 0.6%Heat can make investors more aggressive, which occurs when bidders continue to raise prices to winBidding experience offsets the cognitive output bias [ABSTRACT FROM AUTHOR]

Climate change has a profound impact on human survival and development. Climate change is an energy and economic issue, which should be driven by technology. Total factor energy efficiency (TFEE) improvement is undoubtedly a breakthrough in solving energy problems. In this paper, the fixed effect model, impulse response function, and threshold regression model are used to test the complex relationship between export sophistication and TFEE. The results reveal that export sophistication improvement leads to higher TFEE. The impulse response results verify the existence of a phased and positive correlation between export sophistication and TFEE. Finally, the relationship between export sophistication and TFEE significantly varied across different threshold levels of regional corruption score, economic development, and openness. This article led the foundation for supporting China's export sophistication promotion strategy and also provides a reference for energy efficiency improvement and energy crisis response in the post-pandemic era. [ABSTRACT FROM AUTHOR]

The Belt and Road Initiative (BRI) offers great opportunities for China and Mongolia to collaborate on tackling climate change. However, few studies have focused on China--Mongolia collaboration on climate change under the BRI's sustainable development framework; in particular, studies have neglected the factors and feasibility of collaboration. Focusing on China and Mongolia, this study first discusses the evolution of legislation in China and Mongolia in the context of dealing with climate change and then explores the factors that influence China--Mongolia collaboration on climate change mitigation from the perspectives of climate environmental governance and energy development at the domestic level. Subsequently, the paper analyzes the Paris Agreement to identify international factors that can influence climate change cooperation between the two countries. Finally, based on the results of this analysis, this paper identifies geopolitical relations, the energy supply, technology and investment, and the demand for a transition to sustainable development as the main driving forces for China and Mongolia to collaborate on climate change mitigation under the BRI. Finally, the paper concludes that collaboration between the two countries is highly feasible. [ABSTRACT FROM AUTHOR]

Adaptive farming behavior is a key strategy for farmers to cope with climate change. This paper aims to explore the potential impacts of climate change information sources on farmers’ adaptive farming behavior. This paper clarifies the internal mechanism of three typical information sources, namely government departments, scientific research institutions and neighborhood communication, affecting farmers' adaptive farming behavior. Based on the sample data of 1200 farmers in the main wheat producing areas of Shaanxi Province, the theoretical conjecture is empirically tested. The results showed that the climate change information from government departments and scientific research institutions has a significant positive impact on farmers' adaptive farming behavior, but in the case of considering the three sources of information at the same time, the information source of scientific research institutions has the strongest positive impact on farmers' adaptive farming behavior. After farmers have access to climate change information exchanged by government departments, scientific research institutions and neighbors, their differences in climate change adaptive farming behavior mainly depend on their climate change cognition rather than subject trust factors. Formally organized climate change information represented by government departments and scientific research institutions has a more significant positive impact on farmers' adaptive farming behavior, but this impact depends largely on whether the information obtained by farmers can improve their climate change awareness. [ABSTRACT FROM AUTHOR]

Only with the three largest emitters (the EU, China and the US) building a coalition was it possible to conclude the Paris Agreement in 2015. With the announced withdrawal of the US, the interdependence between the EU and China has increased significantly. Both actors have reiterated their will to implement the Paris Agreement and to cooperate on climate change. In times of political constraints between the EU and China, this seems puzzling. The paper takes a role‐theoretic perspective to assess the following question: How can the changing roles of the EU and China, ascribed to them by external and internal expectations, explain their increased climate cooperation? It draws on a qualitative text analysis of policy documents and expert interviews. The paper concludes with a discussion of the findings against the backdrop of growing tensions between the EU and China. [ABSTRACT FROM AUTHOR]

Urban areas mediate climate transformations and generate new forms of climate urbanism. Looking at climate action in the twelve fastest-growing cities in China with under one million people, this paper proposes a perspective on urban climate politics 'from elsewhere' that foregrounds the potential role of smaller urban areas in mediating climate transformations. The analysis reveals three climate action strategies that reflect practical, institutional, and personal spheres of climate transformations. Planning action in the personal sphere provides opportunities for urban transformations. A perspective 'from elsewhere' calls for greater attention to planning for diverse change strategies for climate transformation. [ABSTRACT FROM AUTHOR]

Global climate change caused by greenhouse gas emissions has a direct impact on the sustainable development of human society and has gained widespread concern globally. Biological carbon sequestration measures, mainly forests, are conducive to improving the ecological carbon sink capacity and play an important role in mitigating global climate change. Therefore, assessing the efficiency of forest carbon storage (FCS) is key. In view of the lack of evaluation methods for forest carbon storage efficiency (FCSE) on a large spatial scale and long time series, a method based on Data Envelopment Analysis (DEA) was proposed in this paper. The FCS was calculated using the forest storage expansion method, and the FCSE was calculated using the DEA-Malmquist index to solve the dynamic balance between regional forestry economic input and carbon storage output efficiency. The FCSE in Chinese provinces was analyzed. The results showed that from 1999 to 2018, China's FCS increased annually, from 7558.34 million tons to 9476.73 million tons, and the spatial distribution pattern of total FCS was always different among regions. The average TFP value of FCSE was 1.089, which proves that the FCSE in China has been on the rise in the past 20 years, but the efficiency growth differed between provinces and was affected by different factors such as technical efficiency and technological progress. [ABSTRACT FROM AUTHOR]

Copyright of Advances in Atmospheric Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Recent years have witnessed climate change characterized by increasingly frequent extreme precipitation events, and the assumption of stationarity in traditional frequency analyses is gradually being questioned. In terms of the current research status in China, there is a lack of thorough investigations on the linkage between extreme precipitation and climate change. This paper aims to determine the dominant climate indices as well as the corresponding significant time scales and periods affecting extreme precipitation over China for dynamic assessments of the upcoming rainstorm risk. Correlations between 15 climate indices and precipitation extremes, as well as the correlations among climate indices, are fully explored to identify potential predictors for non-stationary modeling. Then, 21 non-stationary generalized extreme value (GEV) models are constructed, and the optimal covariates as well as their lag times with extreme precipitation at 769 stations are ascertained in a Bayesian framework. Finally, a complete predictive process is developed, and the national rainstorm risk under non-stationary conditions is assessed. The results indicate that precipitation extremes remain stationary only at 74 stations (less than 10%). WPI is dominant in modeling the variability in precipitation extremes for nearly 22% of the total stations, ranking first among all the climate indices. The predominant time scale affecting extreme precipitation at the majority of stations is 3 months. Ignoring the non-stationarity of extreme precipitation inevitably leads to misperceptions of rainstorm risks, and the spatial distribution of the maximum case of the design rainstorms under non-stationary conditions differs remarkably from that under stationary conditions. Our findings have important implications for the in-depth understanding of the real drivers of extreme precipitation non-stationary and enable advanced predictions of rainstorm risks for mitigating subsequent disasters. [ABSTRACT FROM AUTHOR]

Separating existing historical precipitation data into solid and liquid precipitation remains a challenge in the study of climate change, extreme precipitation, and hydrological modelling. Based on historical daily air temperature and precipitation data, as well as visual observations of precipitation phase (weather phenomena records) in China mainland, this study proposed a snow‐day direct definition method (SDDM) to determine the threshold air temperature (TAT) of rainfall and snowfall, and analysed the spatial pattern and its influential factors. The main findings include: (1) the TAT based on the SDDM varied from −1.2 to 6.3°C, with a mean value of 2.8°C for the entire study region; (2) TAT was generally higher and more variable in the low‐latitude areas, and the Qinghai‐Tibet Plateau was characterized by an abnormally high average TAT of 5.2°C, almost twice as large as that of the eastern monsoon region; (3) TAT exhibited a significant positive correlation with altitude and negative correlation with precipitation and relative humidity. The results presented in this paper have potential application for studies of large‐scale snowfall climatology and climate change, weather forecasting techniques, and hydrological model parameterization in areas with complex and diverse geographical and climatic conditions. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of Chinese firms' environmental, social, and governance (ESG) performance on their financial constraint and financing activities. We find a negative association between firms' ESG performance and their financial constraint driven by the Chinese government's commitment to tackling climate change. Compared with state‐owned enterprises (SOEs), non‐SOEs have alleviated their financial constraint through both equity and debt issuance, thanks to the stock price appreciation and green credit. High‐pollution firms benefit from both equity and debt issuance, while low‐pollution firms mainly finance through equity issuance. Our findings demonstrate the leading role of the Chinese government in its domestic capital markets. [ABSTRACT FROM AUTHOR]

An analysis is presented of the precipitation bias and change signal in an ensemble of regional climate model (RCM) (RegCM4) projections driven by multiple general circulation models (GCMs) over China. RegCM4 is driven by five different GCMs for the 120‐year period 1979–2099 at 25 km grid spacing, under the representative concentration pathway RCP8.5. We find that the GCMs and RegCM4 reproduce the general spatial pattern of precipitation over China in all four seasons, with RegCM4 providing greater spatial detail, especially over areas with complex terrain. The spatial patterns of precipitation bias show common features between the GCMs and RegCM4, characterized by an underestimation in the wetter regions, and an overestimation in the drier ones. Systematic increases of precipitation are projected in northern China, most pronounced in the Northwest basins, by both the GCMs and RegCM4 in all seasons except summer, when more mixed results are found. In addition, weak correlations of the projected change patterns are found in summer between the GCMs and nested RegCM4, indicating the greater role played by the representation of local convection processes during this monsoon season. The projections across the RegCM4 experiments show higher consistency and lower spread compared to the GCM ensemble, again indicating that the nested model physics significantly modulates the change signal deriving from the GCM boundary forcing. Plain Language Summary: China is a vulnerable country to climate change due to its dense population, unbalanced social and economic development, shortage of water resources, and fragile ecosystems. How future precipitation will change over the region is of great concern for the general public and decision makers. This paper presents a first analysis of precipitation simulations from a set of five RCM (RegCM4) 21st century climate change projections, driven by coarse resolution general circulation models (GCMs) over China. We find that the spatial patterns of precipitation bias show common features between the GCMs and RegCM4, characterized by a precipitation underestimation in the wetter regions, and an overestimation in the drier ones. Systematic increases of precipitation are projected in north China by both the GCMs and RegCM4 in all seasons except summer, when, weak correlations of the projected change patterns are found between the GCMs and nested RegCM4, indicating the greater role of the representation of local convection processes during this monsoon season. The projections across the RegCM4 experiments show higher consistency and lower spread compared to the GCM ensemble, again indicating that the nested model physics significantly modulates the change signal deriving from the GCM boundary forcing. Key Points: The spatial patterns of bias show common features between the GCMs and RegCM4RegCM4 provides greater spatial detail of present day precipitation simulation compared to the GCMs and finer structures of future changesThe change patterns across the RegCM4 projections show a high correlation, but not always between each pair of driving GCM and RegCM4 [ABSTRACT FROM AUTHOR]

In the context of climate change, innovative financing solutions and the rapid development of financial technology (fintech) offer great potential for the growth of renewable energy. Based on panel data from 30 provinces in China, this paper explores the impact of fintech on renewable energy growth by employing the instrumental variable-generalized method of moments (IV-GMM). We also pay attention to the nexus between fintech and renewable energy growth at different quantiles. This paper also explores the moderating role of the digital economy and the mediating role of green technological innovation. The main results indicate that (1) fintech positively affects renewable energy growth in China; (2) the positive effect between fintech and renewable energy is stronger in provinces with lower levels of renewable energy growth; (3) the digital economy, on the one hand, can significantly accelerate renewable energy growth; on the other hand, under the help of the digital economy, fintech can play a more effective role in increasing renewable energy growth; and (4) fintech indirectly promotes renewable energy growth by increasing the level of green technology innovation. The findings provide meaningful references for governments and policymakers and encourage the accelerated adoption of fintech in the sustainable energy sectors. • The role of financial technologies "fintech" on renewable energy growth is explored. • Fintech successfully stimulates the development of renewable energy. • The impact of fintech on renewable energy growth is asymmetric. • Digital economy facilitates the positive role of fintech in increasing renewable energy growth. • Green technology innovation is the path through which fintech affects renewable energy growth. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was threefold: (1) to measure farmers' health poverty, (2) to examine the effect of health vulnerability on health poverty and (3) to identify countermeasures that may alleviate health poverty in rural China. Design/methodology/approach: This study built a health poverty measurement model based on the multi-dimensional poverty framework to evaluate farmers' health vulnerability. Further, this paper used an econometric model to assess the impact of health vulnerability on health poverty. The sample for this study comprised 1,115 rice farmers from Hubei province, China. Findings: The medical affordability poverty ratio was 17.95%, where farmers in the low-income group faced severe medical affordability poverty (27.46%). Results from the multi-dimensional analysis showed that, the health poverty ratios were 17.95 and 30.50%, respectively. Our results indicated that climate change vulnerabilities, living habits, medical facilities and medical accessibility were positively related to health poverty, whereas the regular physical examinations reduced mental health poverty. Research limitations/implications: Based on this study's findings, we proposed that: (1) to address illness-induced poverty among members of the agricultural community, national and provincial strategies and programs grounded on a multi-dimensional health poverty framework ought to be formulated and implemented, (2) mechanisms of health knowledge exchange may facilitate the improvement of farmers' health status, (3) robust and comprehensive metrics should be employed to understand and improve farmers' ability to absorb and mitigate the negative health impacts and (4) the improvement in both quality and quantity for medical facilities and medical affordability in the rural areas should be key priorities in governmental-wide initiatives. Originality/value: Existing studies for alleviating poverty caused by disease mainly focus on medical service support to those economic vulnerabilities after a disease happens. However, few studies have focused on the root causes of poverty caused by disease, particularly from the preventive perspective of health vulnerability. To fill this gap, this study, therefore, proposes the health poverty index and analyzes the impact of health vulnerability on health poverty. [ABSTRACT FROM AUTHOR]

In this paper, we empirically evaluate the effect of climate change on agricultural technical efficiency, considering the moderating effect of mitigation efforts based on emission reduction in China. In particular, we directly measure the intensity of mitigation efforts using the climate change mitigation index. We then apply the two-stage double bootstrap DEA method to build up the empirical model, effectively avoiding biased estimation using the traditional two-stage DEA method. Our results show that the intensity of mitigation measures moderates the impacts of global warming on efficiency and mild mitigation measures are better than drastic ones. [ABSTRACT FROM AUTHOR]

This paper investigates the relationship between extreme temperature and online complaints to local government officials. We show that the number of complaints significantly increases by 11.1% on extremely hot days relative to the benchmark temperature. Such effect is most pronounced on the day of extreme weather conditions and muted immediately after the extreme weather day. Among all the complaint areas, we find that 28.6% of the increase in complaints on hot days is related to public service, 42.8% to urban construction, 21.4% to noise, and 7.2% to safety. Moreover, we reveal that the primary motivators of increased complaints on hot days are not likely to be psychological factors; instead, the complaints are more likely to be associated with inadequate provision of public facilities to cope with extreme weather and inadequate management of other environmental disamenities caused by extreme temperature. [ABSTRACT FROM AUTHOR]

China is one of the countries that are most severely affected by floods worldwide. Due to the geographical and climatic environment, floods frequently occur in China. Rapid socioeconomic growth and urban sprawl in the past decades have significantly changed both exposure and vulnerability dimensions of flood risk in China. In response to high risks of flood, the Chinese government has adopted a series of effective measures, such as the "Spongy City" Program and building many large dams and reservoirs, and some measures have achieved significant results. However, there is still a lack of studies with an integrated view on analyzing the causes, socioeconomic impact trends, and disaster risk reduction (DRR) measures of flood risk in China in the past decades. Accordingly, this paper aims to fill in the gap and provides some new insights into China's contributions in DRR over the period of 1950–2019. Our results show that annual flood-induced fatalities and socioeconomic vulnerability to floods have significantly decreased in China, owing to a range of structural and non-structural measures. Nevertheless, China still faces the complex coupling effects of climate change and urbanization, and thus threats from extreme floods. In addition, China needs to further improve its flood risk management system. [ABSTRACT FROM AUTHOR]

This paper assesses the role of the BASIC countries — Brazil, South Africa, India, and China — in UN climate change negotiations. The paper explores the formation and evolution of the group, and focuses on how the four major developing countries of China, India, Brazil, and South Africa have coordinated their positions and acted jointly to achieve an agreed outcome with other players in the recent UN Climate Change Conferences in Copenhagen and Cancun, based on an analysis of their country profiles and negotiation positions on a wide range of climate issues. The paper argues that the emergence of the BASIC Group is a reflection of the ongoing power shift from EU–US agreement to BASIC–US compromise in UN climate negotiations since the early 1990s. The rise of BASIC also has its roots in recent global market dynamics and further reflects the power transformation in the economic dimension of the international system. [ABSTRACT FROM AUTHOR]

The author argues that the deterioration of the natural environment in China provides a persuasive reason to reorient China's economic growth towards a more sustainable path. Reconciling the development and environment imperatives needs to become an urgent priority for the Chinese government in order to avert the cascading implications that will arise in terms of social unrest, loss of further development opportunities as well as deepening income inequality. This paper thus examines the inter-relationship between the current ecological challenge in China and the need for economic sustainability. It evaluates the extent of environmental damage in China and focuses on the environmental impact on development and social inequality. The paper then examines the recent legislative measures that have been taken by the Chinese government to address the problem of inefficient environmental monitoring. The author suggests that further reform is needed to achieve an economically and ecologically just pathway for China's future. The paper therefore demonstrates that the environment- development challenge in China is mainly a challenge of governance. Resolving it will contribute to better environmental justice and development. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Irrigation & Drainage is the property of Journal of Irrigation & Drainage Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose – The impacts of climate change on agricultural production in the People’s Republic of China’s (PRC) are significant, and differ across regions and crops. The substantial regional differences will induce changes in agricultural interregional trade pattern. The purpose of this paper is to investigate the climate change impacts on China’s agricultural interregional trade pattern. Design/methodology/approach – The paper will use the computable general equilibrium (CGE) model to assess the impacts of climate change on the PRC’s agricultural interregional trade flows. The CGE model consists of seven Chinese regions and the rest of the world and six commodities. Findings – The results indicate that northwest, south, central, and northeast PRC will see increases in the outflows of agricultural products in 2030 and 2050. Conversely, outflows from east, north, and southwest PRC will decrease. Agricultural products handling and transportation facilities need to be repositioned to address the changes in agricultural trade flows. Originality/value – Studies on the impacts of climate change on the PRC’s agriculture have been increasing. To the best of our knowledge, however, no previous studies have assessed the impacts of climate change on the PRC’s agricultural interregional trade flows. This paper aims to fill this gap in the literature. [ABSTRACT FROM AUTHOR]

Climate is an essential element in agricultural production, and climate change inevitably have an impact on agriculture. Assessing the economic consequences of climate change requires comprehensive assessments of the impact chain from climate to crops and the economy. In our previous study, we derived a dose‐response function to estimate the response of crop yields to climate variables through a systematic review. In this paper, a dynamic multiregional input‐output model is established to assess the economic consequences of changes in agricultural production on China's regional and sectoral levels. The results show that (1) the direct economic damage is equivalent to 1% of gross domestic product (GDP) which implies the resulting economic cascade effect (ECE) that amounts to 17.8% of China's GDP. At the end of 21st century, the ECE is −0.1% to 13.6% of GDP (negative values indicate economic gains) without considering CO2 fertilization effect, of which the ECE in the most pessimistic pathway are equivalent to the total agricultural output in China today. (2) Regional‐level results show an uneven distribution of economic impact in China, which is related to the regional economic development. The least developed region in China experiences 2.8 to 8.5 times more ECE caused by climate change than the most developed region. (3) Sector‐level results show that agriculture is still the main affected sector, but in developed regions, manufacturing and services also bear part of the ECE. Plain Language Summary: Evidence from numerous studies has confirmed the impact of climate change on agriculture. This paper assesses the economic consequences of changes in agricultural production under climate change in China. We find that the direct economic damage is equivalent to 1% of gross domestic product which implies the resulting economic cascade effect that amounts to 17.8% of total gross domestic product. The most pessimistic estimate of the economic impacts in the 2090s is equivalent to China's total agricultural output today without considering CO2 fertilization effect of climate change. The economic impacts suffered by different regions of China are related to regional economic development. The least developed region in China experiences more economic damage from climate change than the most developed region. In addition to the agricultural sector, manufacturing and services are expected to experience part of the impacts, especially in developed regions. This paper hopes to provide data support for a comprehensive understanding of climate change impacts in different regions of China by assessing the economic consequences. Key Points: The economic cascading effect of climate change is approximately 18 times larger than its direct damageThe least developed region in China experiences 2.8 to 8.5 times more economic impacts than the most developed regionThe decline in agricultural output also affects manufacturing and services through trade networks, especially in developed regions [ABSTRACT FROM AUTHOR]

As the world's largest carbon emitter, China is under great pressure to cut down carbon emissions. Understanding the evolution of carbon emissions across Chinese cities is important for policymakers when allocating carbon emission quota among these cities. This paper draws upon the Open-source Data Inventory for Anthropogenic CO2 to calculate city-level per capita carbon emissions in China from 2001 to 2016. Overall, we find that per capita carbon emissions of Chinese cities have been generally on the rise during the 2001–2016 period. However, there has been on average a modest decline in per capita carbon emissions of cities in China's Yangtze River Delta region and Pearl River Delta region from 2011 to 2016, after a remarkable increase during the 2001–2011 period. Besides, the average north-south gap has been enlarged, with northern cities having a relatively higher level of per capita carbon emissions. [ABSTRACT FROM AUTHOR]

This paper summarizes the current literature on public responses to climate change in China. The paper first provides a "macro view" by reviewing what we know about public climate change knowledge, risk perceptions, policy preferences, and behaviors based on large‐scale survey research. The paper also examines what sociodemographic, psychological, and cultural variables – such as age, gender, rural/urban status, and income – can best predict public understanding and responses to climate change. Second, it provides a "micro view" by presenting findings from place‐based and contextualized research projects in China. The review concludes by suggesting next steps to advance the understanding of public engagement with climate change in China. This article is categorized under:Perceptions, Behavior, and Communication of Climate Change > Perceptions of Climate Change [ABSTRACT FROM AUTHOR]

Carbon dioxide (CO 2) emissions and climate change risk have become constraints on global economic sustainable development. Environmental regulation (ER) is a key method for achieving synergy in CO 2 and pollution reduction in China. This paper is the first study to explore the effects of ER on CO 2 emissions by exploiting the National Environmental Protection 11th Five-Year Plan (NEP11-FYP). The implementation of the NEP11-FYP significantly decreases CO 2 emissions by 19.73% in key environmental cities relative to other cities. Heterogeneity analyses suggest that this negative impact is larger in western cities and cities with more pressure to reduce CO 2 emissions. Scale effects, structural effects, and technical effects might be three potential influencing channels through which ER contributes to the CO 2 reduction effect. In addition, the results of the spatial externality of the NEP11-FYP demonstrate a positive spillover effect in neighboring cities within a distance of 300 km and a negative spillover effect in cities more than 500 km away. Our empirical findings provide policy implications for implementing low-carbon transition strategies and reducing CO 2 emissions. [ABSTRACT FROM AUTHOR]

This paper examines the impact of extreme precipitation on Chinese industrial output and its total factor productivity (TFP) using data from the annual survey of industrial firms (ASIF) and daily weather data. The findings demonstrate a significant reduction in industrial firm output as a result of precipitation, with extreme daily precipitation decreasing output by approximately 1.22%. We provide an explanation for this precipitation-industrial output relationship from four perspectives: per capita wages, labor productivity, inventory, and depreciation. The effects of extreme precipitation are more pronounced in high-income and high-precipitation regions, as well as among foreign firms and low-technology firms. Our research suggests that extreme daily precipitation poses a serious obstacle to the development of the manufacturing industry. These results are crucial for understanding the economic impact and concealed costs of climate change, highlighting that extreme precipitation should be recognized as one of the primary sources of damage associated with climate change in the future. [ABSTRACT FROM AUTHOR]

This paper evaluates the causal effects of climate change on firm productivity from the perspective of drought, which is a complicated climate phenomenon. Based on the panel data of agriculture-related firms in China, we present strong evidence that drought significantly reduces firm' total factor productivity. Mechanism analysis shows that the negative effect is rooting from higher costs of equity capital, higher operation costs, and lower investment efficiency. Finally, we find that government subsidy and policy stimulating corporate innovation can help firms adapt to climate change. [ABSTRACT FROM AUTHOR]

The politics of international finance for coal power plants have intensified since the 2015 Paris climate agreement was negotiated. Over the past few years, Japan and South Korea have signaled their intent not to fund new coal projects overseas, leaving China and its Belt and Road Initiative as the 'financier of last resort.' In September 2021, China too announced its intent to stop providing finance for overseas coal projects. What accounts for their decision to cease financing overseas coal projects despite prominent differences in political systems, degree of internationalization of their financial systems, and economic size? Drawing on datasets of coal projects and financing supplemented by case material and interviews, this paper explores the dynamics of coal export finance and how the combination of international reputational pressures and declining demand for coal finance diminished the domestic support for incumbent coal exporters in all three countries. [ABSTRACT FROM AUTHOR]

Taking China's provincial panel data from 2010 to 2020 as an example, this paper verifies that climate change, especially extreme climate change, can destabilize China's financial stability and explores the transmission path of climate risks with meteorological disaster losses as the channel variable. Our empirical results demonstrate that: (a) only after the extreme climate change breaks through a certain threshold, thus causing a significant impact on the financial system; (b) we cannot ignore the improvement of disaster prevention and reduction ability brought by the improvement of social and economic development level; (c) the impact of extreme climate change will spread to the financial system through the economic losses caused by meteorological disasters; (d) there is obvious regional heterogeneity in the spread of meteorological disaster losses to the financial system. Our results are robust to a wider battery of checks and have important policy implications. • This paper empirically tests the impact of climate change on financial stability. • Extreme climate change will damage China's financial stability. • The economic losses caused by climate disasters will spread to the finance. • The transmission of such losses has obvious regional heterogeneity. • This paper provides policy implication for coping with climate risks. [ABSTRACT FROM AUTHOR]

Carbon neutrality is an important policy in the current global response to climate change and has been widely recognized by various industries. In the process of promoting carbon neutrality, new energy plays a pivotal role. In this study, the definition and connotation of new energy and its role and specific operation in the energy transition of carbon neutrality are firstly explained. Promoting new energy development requires significant green and low-carbon investments. Taking China as an example, this paper analyzes the opportunities brought by the carbon neutral process to the field of green finance and analyzes the main features and development trends of green finance in China at present. Then this paper proposes policy recommendations to strengthen the development of green finance in China in terms of improving the green financial policy system, enhancing the supply capacity of green financial services, and optimizing the supporting environment for green financial development. Finally, this paper analyzes the measures and experiences of the United States in promoting low-carbon development and proposes countermeasures for China's low-carbon development on the basis of the five major relationships that need attention in China's carbon-neutral process. That is, strengthen the top-level design and improve the regulatory policy system; optimize the energy structure and increase the proportion of clean energy; optimize the industrial structure and reduce energy consumption in key industries; build a complete low-carbon technology system and promote low-carbon technology research and development and demonstration applications, and encourage local conditions to explore low-carbon development paths. The development of green finance can contribute to the advancement of new energy technologies, thus contributing to the achievement of carbon neutrality goals. [ABSTRACT FROM AUTHOR]

In response to global climate change, the Chinese Government has taken numerous measures to promote low-carbon management practices, but the overall adoption rate has been lower than expected. Empirical studies on the path dependence of farming experience, that is, long-standing planting concepts that will hinder farmers from adopting new technologies, have not been reported. Hence, to fill the research gaps, this paper uses survey data from 805 rice farmers in Zhejiang, Hubei, and Jiangxi provinces, China, to examine the impact of farming experience on the adoption of soil testing and fertilizer recommendations. The results show that farming experience significantly negatively affects the adoption of low-carbon practices, especially among farmers with low resource endowment. However, farmers, who make decisions based jointly on farming experience and social networks, are more likely to adopt low-carbon practices. This means that as long as farming experience is used reasonably, for example, by broadening the social network of farmers and urging them to form a decision-making method that comprehensively utilizes farming experience and social networks, it can also demonstrate value. Our findings contribute meaningfully to the development of efforts to promote the adoption of low-carbon management practices in China. [ABSTRACT FROM AUTHOR]

A primary goal of studying climate change adaptation is to identify the adaptation options that are used to improve crop productivity or reduce the negative impacts of climate change. Many of the adjustments in farm management that farmers adopt do not necessarily represent true adaptations to climate change, an issue often ignored in existing literature and resulting in a risk that policy makers are misled to think that adaptation is easier than it actually is, and thereby underestimate the challenge that climate change presents. The overall goal of this study is to identify whether farmers’ adoptions are enhancing food production and adapting to climate change. The identification uses a plot-level panel from a survey of 619 rural households in three provinces in China and county-level weather data. With the use of plot and county-by-year fixed effects as well as instrumental variable approaches, our estimates show that the autonomous adoptions are not effective in improving crop yields. This implies that farmers’ adoptions cannot be always considered adaptations to climate change. The paper provides a possible explanation for the results and concludes with policy implications. [ABSTRACT FROM AUTHOR]

The United States (U.S.) and China are key to meeting the goals of the Paris Agreement and reaching carbon neutrality by around mid-century. Despite differences, carbon neutrality will be met more rapidly if the two countries coordinate and facilitate synergies in carbon-neutral technologies and policy development and implementation. Building on long-term pathway models in the U.S. and China, current emissions trends and sources, and a policy analysis, this paper puts forward a novel framework for U.S.-China coordination on carbon neutrality. The analysis reveals similar technology and policy pathways, policy gaps, and shared milestones for decarbonization in 2030, 2040, and 2050-2060. The main technological pathways focus on reductions in energy demand and non-energy-related CO2 emissions, decarbonization of electricity and fuels, and increases in electrification rates and CO2 sequestration. Given existing domestic policies and opportunities for further action, areas for coordination on carbon neutrality include common policy milestones; dialogue and technical exchange; research, development, and demonstration (RD&D); and international climate leadership. Despite escalated tensions between the U.S. and China, and challenges for climate cooperation, coordination between both countries on carbon neutrality is both possible and necessary. Carbon neutrality will be met more swiftly if the U.S. and China coordinate and facilitate synergies in carbon-neutral technologies and policy. Despite the rise in geo-political tensions between the U.S. and China, coordination on carbon neutrality is both possible and necessary. An analytical framework for U.S.-China coordination on carbon neutrality, includes technology and policy pathways, and common milestones of key sectors' decarbonization for 2030, 2040, and 2050-2050. The two countries could coordinate on common policy milestones, dialogue and technical exchange, research and development, and international climate leadership. [ABSTRACT FROM AUTHOR]

This paper used original survey data in Shandong province of China to depict local farmers' perceptions of combined climatic and market risks, and their adaptive behaviors. Two Logit models were developed to capture the empirical relationship between farmers' risk perception of the combined risks and adaptive behaviors. Results show that farmer's risk perception of climate change and market significantly affected their adoption behavior of adaptive measures, including perception of rainfall decrease, gale decrease, drought increase, and price fall of agricultural products. Moreover farmers' adaptive behaviors are more sensitive to their perceptions of extreme climatic events. Addition of demographic factors can improve the explanatory capacity of the Logit model. As illustrated by the models, male and better educated farmers have greater willingness to take actions for averting risks, while household heads with bigger farm are more reluctant. A majority of respondents chose to construct farm structure for irrigation and water conservation to avert climatic risks. Insurance, which is regarded as an effective tool to help farmers mitigate risks and avoid losses, has not been sufficiently accepted by farmers in rural areas in Shandong province. This underscores the need of effective communication of knowledge to enhance farmers' coping capacity and to encourage their active response to risk. [ABSTRACT FROM AUTHOR]

As researchers suggested, there is no way back for transatlantic politics; it has suffered severe setbacks that cannot be undone in recent years. Although the Biden win promises opportunities for EU-US cooperation, the EU's drive for strategic autonomy would not turn a halt given that the great leap forward for European policymakers and strategists would be to acknowledge that Europe's "autonomy" is actually in the transatlantic interests. Nevertheless, the transatlantic partnership is torn from a "thickening" tie that has bound the US and EU together for decades. Consequently, President Biden's transatlantic strategy to retie would undoubtedly pose challenges for European relations with China. The United States is increasingly intent on decoupling its economy and its technology sector from China as part of the new cold war cliché between the two. Nevertheless, the EU-China partnership has been working closely for the past few decades, and China's market has a great appeal to the world. The time has come for the EU to consider how to survive the turmoil of US-China decoupling caused by the two superpowers' agendas. This paper analyzes the critical transformation in light of not only the politics of today but also the structural trends in the global balance of power between the US and China. And explains the reasons why the pitfalls of US-China decoupling shape the dynamics of European ties with China in the last decade. This paper focuses on the issues: i) The EU's alterations of the EU-China partnership dealing with an increasingly assertive China; ii) US and China on the path to inevitable economic decoupling; iii) The EU drives for strategic autonomy aiming at enhancing the competitiveness in the high tech sector; iv) EU's ambition of safeguarding and reinvigorating cooperation over climate change and global health through the engagement of EU-China Investment Agreement. [ABSTRACT FROM AUTHOR]

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This paper critically analyses the construction of eco-cities as technological fixes to concerns over climate change, Peak Oil, and other scenarios in the transition towards 'green capitalism'. It argues for a critical engagement with new-build eco-city projects, first by highlighting the inequalities which mean that eco-cities will not benefit those who will be most impacted by climate change: the citizens of the world's least wealthy states. Second, the paper investigates the foundation of eco-city projects on notions of crisis and scarcity. Third, there is a need to critically interrogate the mechanisms through which new eco-cities are built, including the land market, reclamation, dispossession and 'green grabbing'. Lastly, a sustained focus is needed on the multiplication of workers' geographies in and around these 'emerald cities', especially the ordinary urban spaces and lives of the temporary settlements housing the millions of workers who move from one new project to another. [ABSTRACT FROM AUTHOR]

Abstract: In 2015, the 17 Sustainable Development Goals (SDGs) were adopted by all member states of the United Nations. This paper argues that actually implementing the SDGs is far more challenging than reaching agreement to adopt them. To overcome these challenges, a Four‐Step Adaptive Governance Framework was set up to facilitate implementation of these goals. Two‐level policy tools are presented to illustrate the policy evolution of China's development transitions, within the framework of “adaptive governance.” This study found that the Four‐Step Adaptive Governance Approach is deeply embedded in China's policy process, and it has contributed significantly to China's development during the past four decades. The Adaptive Governance Framework and this example of its application in China suggests it could be a useful tool for developing countries that are formulating their national strategies to achieve their SDGs by 2030. [ABSTRACT FROM AUTHOR]

There has been increasing interest in whether low carbon cities developed under Chinese institutional arrangements can facilitate a transformative change. Unlike their western counterparts, Chinese low carbon cities are mainly developed through a top-down approach characterized by strong regulatory influences and centrally-led pilots. Inspired by insights from institutional theory, this paper assessed the progress that has been made in Chinese low carbon cities through understanding urban actors' willingness and capacity to pursue more radical changes. Based on semi-structured interviews and documentary analysis, it is found that due to the low recognition of the intrinsic value of carbon reduction, low carbon transition was largely represented as a practical discussion around national binding targets and local economic development. Following this, it is suggested that any attempt to speed up urban low carbon transition should consider strengthening incentive structures for cultural or paradigm change. [ABSTRACT FROM AUTHOR]

Although ski tourism in China is experiencing a boom, and the number of operating ski areas has significantly increased, the influence of climate change on the future development of China's ski industry has so far largely been overlooked. This paper addresses this important gap by applying the ski season simulation model SkiSim 2.0 at 116 ski areas. Four main indicators of climate change impact were examined: ski season length, operational ski days in economically important season segments, technically produced snow and snowmaking requirements. For all ski resorts in China and all climate change scenarios, average ski seasons are projected to shorten (− 4 to − 61% RCP 4.5; − 6 to − 79% RCP 8.5 in the 2050s) while snowmaking needs increase (27 to 51% RCP 4.5; 46 to 80% RCP 8.5 in the 2050s). The results indicate that high regional differences in climate change vulnerability exist. The implications for altered competitiveness and development potential of the ski industry in China are discussed. [ABSTRACT FROM AUTHOR]

Purpose Carbon Efficient Practices (CEPs) are gaining momentum due to the serious consequences of climate change. While past studies have focused on the effects of either drivers or barriers to green practices especially in the context of developed countries, relatively little attention has been devoted to the simultaneous effects of drivers and barriers on product redesign, particularly in the context of China. The paper aims to discuss these issues.Design/methodology/approach Using a blend of the Contextual Interaction Theory and Newton’s second law of motion, this paper proposes a conceptual model that simultaneously examines the impact of CEP drivers and barriers on product redesign and performance.Findings Structural Equation Modeling (SEM) analysis on a sample of 239 Chinese manufacturing firms indicated that drivers had substantially higher effects on product redesign and performance compared to the influence of other barriers.Originality/value Use of Newton’s second law of motion as a theoretical framework for understanding the adoption of CEPs in the context of China is novel. Implications of this pattern of results on academic theory building and practice are offered. [ABSTRACT FROM AUTHOR]