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This paper conducted a comparative analysis of the conference publications published by Chinese scholars from 2006 to 2019. The main results are as follows. First, the conference papers are unevenly distributed among the 31 provincial administrative regions. The annual number of conference papers published by scholars from different regions fluctuated during the study period. Second, there are different disciplinary distributions of China Proceedings of Conferences Full‐text Database (CPCD) papers and Conference Proceedings Citation Index (CPCI) papers, and the CPCI publications have a relatively centralized disciplinary distribution. Third, it is noteworthy that there are more CPCD papers than CPCI papers. With the introduction of the new science and technology evaluation standards of the Ministry of Science and Technology, there should be more conference papers in the future. [ABSTRACT FROM AUTHOR]

This paper aims to trace the origins of dual entry beyond a Eurocentric boundary. The aim can be refined further by asking: did the Chinese use dual entry and how did dual entry appear in Europe. Double entry is more advanced as it includes the location of the account in which the contra entry is made. Dual entry approaches accounting, like mathematics, as a tautology, whereby an equation is constructed from a simple axiom. Defined as such, this paper argues that the concept of dual entry had its earliest origins in China. [ABSTRACT FROM AUTHOR]

On 31st December 2020, The National Science Library of the Chinese Academy of Sciences (CAS) released a list of 65 international scientific journals, all of them indexed by the Web of Science, that were said to be potentially in conflict with academic rigour. The list immediately influenced the publication patterns of Chinese researchers. A year later, on 31st December 2021, CAS released a revised and reduced list of 35 questionable journals and said the publishers in the meantime had reacted constructively and improved the procedures of their journals. This study aims to provide an understanding of the motivations and criteria behind the list, partly by reviewing Chinese policy documents and public debates, partly with a quantitative analysis to detect the relative importance of the criteria used to select the journals for the list. [ABSTRACT FROM AUTHOR]

Concerted effort to reduce ecological damages requires that the role of enterprises should be extended to incorporate environmental issues into their core business objectives. Despite huge developments in sustainable entrepreneurship research, outcomes of sustainable entrepreneurship uptake remain largely unclear. Drawing on data of Chinese firms, and utilizing fixed effects regression, our paper evaluates the conditions under which compliance with environmental regulation may enable or constrain corporate performance. We find that environmental compliance lowers corporate market performance and improves financial performance at the same time. We also find that the decline in market performance is reversed for large and privately owned enterprises, highlighting the role of firm size and ownership in corporate performance. When distinguishing between market‐ and financial performance, our evidence shows that environmental compliance will most likely improve market performance when enterprise carbon intensity level is low and improve financial performance when enterprise carbon intensity level is high. As we have discussed in our paper, these results have several implications from the point of view of managers, firm stakeholders, and policymakers. [ABSTRACT FROM AUTHOR]

The platform economy is growing fast in the world. Its expansion, exemplified by industry giants like Amazon, Airbnb, and Uber, is reshaping societal lifestyles and commercial businesses. However, its environmental impacts are uncertain. Currently, the relationship between electronic commerce (e‐commerce) activities and environmental pollution has attracted a lot of attention. This paper attempts to construct a comprehensive theoretical model to investigate the nexus between e‐commerce and regional environmental pollution, with a particular focus on the effects of air pollution and waste pollution. Fixed effect models and China's provincial data during the period from 2008 to 2018 are employed to examine the roles of energy efficiency and resource consumption in such a nexus. The findings suggest that the development of e‐commerce is linked to a reduction in regional air pollution through the channel of improving transportation energy efficiency. The results also show that e‐commerce is associated with an increase in regional waste pollution due to the mechanism of resource consumption in the express packaging industry. As a result, the relationship between e‐commerce and environmental pollution is quite complex at the regional level, transcending a binary distinction of solely positive or negative impacts. This paper contributes to a better understanding of the complex environmental impacts of e‐commerce and helps governments design more efficient and targeted policies to reduce regional pollution. [ABSTRACT FROM AUTHOR]

Aims: The aim of this study was to analyse the status, hotspots and trends of research on oral care for the elderly in mainland China in the past 20 years through bibliometrics, which aims to provide new ideas and targets for future clinical work and research. Design: Bibliometric analysis. Methods: Relevant literature was retrieved from China National Knowledge Infrastructure, Wanfang, China Science and Technology Journal Database, Web of Science and PubMed. NoteExpress, Co‐Occurrence and CiteSpace were used to analyse bibliometric features in terms of year of publication, journal of publication, authors, institution and keywords. Results: A total of 716 related articles were obtained. The number of publications shows an increasing trend over time, only 2017–2021; 309 papers were published, accounting for 43.2% of the total number of publications. A total of 238 articles were published in Science Citation Index journals or Chinese core journals, accounting for 33.2% of the total number of articles. The study of oral health‐related quality of life in the elderly is a hot research topic. There is a lack of research on the elderly living in elderly care facilities. [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]

In recent years, concurrent climate extreme conditions (i.e., hot‐dry, cold‐dry, hot‐wet, and cold‐wet) have led to various unprecedented natural disasters (e.g., floods, landslide, wildfire, droughts, etc.), causing significant damages to human societies and ecosystems. This is especially true for China where many unprecedented natural disasters have been reported due to the recent warming in local climate. In this paper, we focus on the issue of ultra‐extreme events (1‰ threshold) and address how future global warming would affect the climate extreme conditions in China. Specifically, to reduce the uncertainties from models, we use a downscaled and bias‐corrected CMIP6 ensemble under two continuously‐warming scenarios to evaluate the impact of global warming on ultra‐extreme events over China. The results show that, under both SSP245 and SSP585 scenarios, extreme hot conditions would become dominant in most regions of China and some regions are likely to experience over 50 extreme hot days at future warming levels. The frequency of extreme cold events is projected to be small. More frequent extreme hot‐wet events with concurrence in the same month and year would be expected for China under the continuously‐warming scenarios. This is particularly obvious for the west where more than 6 hot‐wet months are likely to take place under future warming scenarios. This may imply that more extreme heat waves and flooding events would coincide in the same month or year for China in the future. For univariate ultra‐extreme events, both extreme hot events and extreme wet events would drop by above 25% from 2.0°C to 1.5°C global warming level, particularly under the SSP245 scenario. When the global mean temperature is limited to 1.5°C rather than 2°C, the avoided impacts of hot‐wet and cold‐wet extremes concurring in the same month will be larger than those of dry‐related compound extremes. Overall, the results suggest that slowing down global warming can reduce the frequency of concurrent climate extreme conditions in China, highlighting the importance of immediate action toward carbon emission reduction. Plain Language Summary: In recent years, concurrent climate extreme conditions (e.g., hot‐dry, cold‐dry, hot‐wet, and cold‐wet) have led to various unprecedented natural disasters (e.g., floods, landslide, wildfire, droughts, etc.), causing significant damages to human societies and ecosystems. This is especially true for China where many unprecedented natural disasters have been reported due to the recent warming in local climate. In this paper, we focus on the issue of ultra‐extreme events (1‰ threshold) and address how future global warming would affect the climate extreme conditions in China. Here, we use a downscaled and bias‐corrected CMIP6 ensemble under two continuously‐warming scenarios to address this question. The results show that, under both SSP245 and SSP585 scenarios, extreme hot conditions would become dominant in most regions of China and some regions are likely to experience over 50 extreme hot days at future warming levels. Both extreme hot events and extreme wet events would drop by above 25% from 2.0°C to 1.5°C global warming level, particularly under the SSP245 scenario. Overall, the results suggest that slowing down the global warming can reduce the frequency of concurrent climate extreme conditions in China, highlighting the importance of immediate action toward carbon emission reduction. Key Points: A downscaled and bias‐corrected CMIP6 ensemble is used to evaluate the impact of global warming on ultra extreme events over ChinaMore frequent extreme hot‐wet events with concurrence in the same month and year would be expected for ChinaBoth extreme hot events and extreme wet events would drop by above 25% from 2.0°C to 1.5°C global warming level [ABSTRACT FROM AUTHOR]

Wildlife crimes that involve smuggling threaten national security and biodiversity, cause regional conflicts, and hinder economic development, especially in developing countries with abundant wildlife resources. Over the past few decades, significant headway has been made in combating wildlife smuggling and the related illegal domestic trade in China. Previous studies on the wildlife smuggling trade were based mainly on customs punishment and confiscation data. From the China Judgments Online website, we retrieved cases related to cross‐border wildlife and wildlife products smuggling from 2014 to 2020. In total, 510 available cases and 927 records for more than 110 species were registered. We studied each judgment and ruling file thoroughly to extract information on cases, defendants, species, sentences, and origins and destinations of wildlife and wildlife products. Furthermore, the frequency of origin–destination place occurrences and spatial patterns of cross‐border wildlife crime in China were shown in this data paper. The main purpose of our data set is to make these wildlife and wildlife products trade data accessible for researchers to develop conservation studies. We expect that this data set will be valuable for network analysis of regional or global wildlife trafficking, which has attracted global attention. There are no copyright restrictions on the data; we ask that researchers please cite this paper and the associated data set when using the data in publications. [ABSTRACT FROM AUTHOR]

Despite its invaluable contribution to the field of comparative economics, the socialist calculation debate has focused on the narrow topic of the impossibility of the rational economic calculation under socialism. The literature on new institutional economics suggests that economic development is determined by economic and political institutions which are far more complex than the issue of economic calculation. To bridge the gap between the calculation debate and new institutional economics, this paper utilizes the historical case studies of Perestroika and Deng's China to demonstrate relationship between state capacity and economic calculation. We argue that rational economic calculation requires the state's institutional ability to make a credible commitment to constraints inhibiting public predation. [ABSTRACT FROM AUTHOR]

Building resilient cities has become a hot topic in urban planning and risk management. Adopting the perspective of the social‐ecological system (SES), this paper incorporated economy–ecology–society–infrastructure into an integrated research framework and established a system for assessing the urban resilience development level. The entropy weight method was combined with a cloud model to systematically calculate and classify the resilience of 31 provinces (cities) in China. The evaluation results show that (1) the overall level of urban resilience in China was relatively low; the regional analysis showed that (2) the urban resilience of the eastern region was higher than the national average and that of the central and western regions, and from the perspective of the four subsystems, (3) the comprehensive development of each subsystem was the key to improving urban resilience. Finally, five improvement strategies were proposed to provide ideas for enhancing urban SES ability. [ABSTRACT FROM AUTHOR]

Copyright of Papers in Regional Science is the property of Wiley-Blackwell 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.)

In this study, CMIP6 and single model initial‐condition large ensemble (SMILE) simulations were applied to reveal possible changes in the spatial coverage (RSC) of summer extreme precipitation (≥99th percentile) in China. Four different approaches were applied to provide a comprehensive assessment of RSC changes. Results indicate that the trend of RSC in summer for the period 1961–2020 in China is underestimated by raw simulations of CMIP6 multi‐model ensembles. Further analyses suggest that the confidence in model simulations reflecting the observed change can be improved based on the two observation constraint approaches and SMILE‐based approach. In addition, the reliability of the spatial distribution can also be improved. Projection results indicate that the RSC of summer extreme precipitation increases consistently with the increment of global warming across the different approaches. Among them, the results based on observational constraints and the SMILE‐based approach show enhanced reliability and present larger RSC changes than by directly using CMIP6 ensembles. In conclusion, extreme precipitation in summer is expected to become more widespread in China as the level of global warming increases. Plain Language Summary: Extreme precipitation causes severe impacts on agriculture, economy, and human health. However, it is projected by models to change in China but with low consistency. Thus, this paper provides an assessment of the projected characteristics of the ratio of spatial coverage (RSC) for extreme precipitation in China combined with multiple evidence and approaches. CMIP6 and single model initial‐condition large ensemble (SMILE) simulations are applied. Four approaches based on the statistics principle and physical interpretability are conducted to comprehensively assess change in RSC. Results reveal that extreme precipitation will become more widespread in China. Among them, results based on observation constraint approaches and SMILE‐based approach, which show enhanced accuracy and reliability, present larger RSC than directly using CMIP6 ensembles. It indicates that extreme precipitation will be more widespread in China combined with multiple evidence and methods. This study provides some scientific foundation for climate mitigation and adaptation. Key Points: Observed trend in RSC in China increased significantly in summer for the period 1961–2020 but is underestimated by CMIP6 multi‐model ensemblesConfidence is improved based on observation constraint and SMILE‐based approaches to raw model simulationsExtreme precipitation in summer will become more widespread, as supported by multiple evidence lines and approaches [ABSTRACT FROM AUTHOR]

There is a growing global emphasis on sustainable agriculture to reduce human impacts and improve delivery of Sustainable Development Goals (SDGs). With increasing investment in critical zone observatories (CZOs), it becomes important to understand how sustainable agricultural knowledge is produced, shared and used between different groups including farmers, scientists and government. To explore these issues, scientists leading the knowledge exchange (KE) component of a China‐UK CZO program studied three farming regions with contrasting geologies and varying economic levels, using a practice‐based research method. We demonstrate how additional funding for social science research allowed us to understand how farmers access and share farming knowledge through bonding, bridging and linking networks, and how this varies spatially, using interviews and survey questionnaires. Knowledge flows, barriers and opportunities for designing locally suited two‐way KE activities were identified. First, we highlight the need for a more locally, socially embedded and reflexive approach to build trust and better address pressing local environmental challenges. Second, we show how social science can usefully inform KE for collaborative, international development science, to draw on local knowledge, promote research impacts and capacity building while avoiding knowledge mismatches. Lastly, a blueprint for the design and funding of future CZOs, social‐ecological and planetary health research agendas that combine science, social science, local knowledge and KE is presented, including the need for substantive social science research to take place in addition to science research in human‐modified landscapes—enabling the CZ science to be better grounded in, informed by and useful to local communities. Plain Language Summary: There is a growing global need for sustainable agriculture to reduce human impacts on the environment. To do this, we need to have a better understanding of how sustainable agricultural knowledge is produced, shared and used between different groups including farmers, scientists and government. In this paper, we explored these issues in three farming regions in China, using a practice‐based research method where we interviewed and surveyed several 100 farmers. We found that in two of the three regions, farmers access and share farming knowledge through family networks, whilst in the third region farmers learned from a broader range of groups including scientists and government. We recommend that future science studies in stressed agricultural landscapes use a more local approach to build trust and carry out science that better addresses pressing local environmental challenges. This requires us to study people, the residents in these landscapes, using social science, alongside understanding how the landscape is functioning ecologically. Lastly, we propose a new "blueprint" for funding of future science, social‐ecological and planetary health research agendas that combine science, social science, local knowledge and knowledge exchange. This will enable environmental science to be better grounded in, informed by and useful to local communities. Key Points: A blueprint for future critical zone observatories and planetary health research is presented that combines science, social science and local knowledgeWe show how social science can usefully inform knowledge exchange (KE) for collaborative science, to build capacity while avoiding knowledge mismatchesSpatial variations in how farmers learn through bonding, bridging and linking networks exist, showing the need for a local approach to KE [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]

This paper examines whether state ownership and political connections affect the relationship between customer concentration and cash holdings for Chinese listed manufacturing firms. We show that non‐state‐owned firms, but not state‐owned firms, hold more cash as customer concentration increases. In addition, political connections weaken the positive effect of customer concentration on non‐state‐owned firms' cash holdings. Our supplemental analyses further show that for non‐state‐owned firms with limited access to finance—for instance, firms with low analyst following, low institutional ownership, or low government subsidies—the effects of political connections on weakening the positive association between customer concentration and cash holdings are more pronounced. Additional robustness tests support our arguments. [ABSTRACT FROM AUTHOR]

This paper examines the impact of internal information quality (IIQ) on corporate cash holdings in China. Employing two widely used IIQ measures (i.e., the earnings announcement speed and the absence of financial restatements), we show a significant and negative association between IIQ and corporate cash holdings. This negative relation is concentrated among complex firms (i.e., firms with more business segments), non‐state‐owned firms, and firms with poor corporate governance. Our findings are valid after we consider endogeneity issues. This paper suggests that the quality of the internal information environment plays an important role in influencing firms' cash holding decisions. [ABSTRACT FROM AUTHOR]

Copyright of Papers in Regional Science is the property of Wiley-Blackwell 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 investigates the impact of the Shanghai–Hong Kong Stock Connect (SHSC) scheme on voluntary corporate social responsibility (CSR) disclosure in China. Using a difference‐in‐differences (DiD) design, we find that companies that participate in the SHSC scheme are more inclined to voluntarily issue CSR reports. This effect is more pronounced for companies that have limited access to international markets and those with weak corporate governance. Additional analyses show that SHSC‐connected firms also produce higher quality CSR reports and achieve a better CSR performance. Our findings imply that capital market liberalisation promotes voluntary corporate disclosure for investors. [ABSTRACT FROM AUTHOR]

This paper examines caregiving for sick older family members in the context of socio‐economic transformations in rural China, combining empirical investigation with normative inquiry. The empirical part of this paper is based on a case study, taken from fieldwork in a rural Chinese hospital, of a son who took care of his hospitalized mother. This empirical study highlighted family members' weiqu (sense of unfairness)—a mental status from experiencing mistreatment and oppression in family care, yet with constrained power to explicitly protest or make care‐related choices. Underpinning people's weiqu and constrained choice, as informed by the conception of structural injustice, is the impact of unjust social structures, organized by unfavourable norms, discriminatory social policies and institutions targeting rural populations. By restraining individual choices and capacities in supporting health care for aging populations, these unjust structures create additional difficulties for and discriminations against rural families and their older members. Some policy recommendations are proposed to mitigate structural injustice so as to empower families and promote care for older people in rural settings. [ABSTRACT FROM AUTHOR]

Energy consumption is closely related to industrial structure, economic prosperity, and population. Because of the Granger causal relationship between GDP and energy consumption, many researchers consider the regression method to predict energy consumption using economic variables. However, some other researchers regard the time series method (forecast) to estimate for energy consumption. To address the advantages and disadvantages of two methods in energy consumption prediction, we performed the deep learning (DL) based on the case of China. The experiment results show that the accuracy of time series forecast is much higher than regression methods. In addition, we also explored the relationship between industry, economy, population, and energy consumption. We found that GDP, population, secondary sector, and tertiary sector were significant to energy consumption. A tertiary sector can help to reduce energy consumption to some extent. This could give suggestions about changing industry structure. More and more attention has been paid to energy intensity. The strategic approach to sustainable development requires reducing energy intensity while developing the economy. Since China is committed to achieving carbon emission peak by 2030, this paper predicts the energy intensity of China in the next decade based on a DL algorithm. The prediction results show that energy intensity would slightly decrease in the next decade. Different types of energy represent the industrial structure behind economic growth. Therefore, this paper was conducted using ridge regression (RR) to explore the relationship between different types of energy and energy intensity. In addition, the effect (positive or negative) of different energy sources in reducing energy intensity has also been explored. We found that the best way of developing the economy and reducing energy consumption is to use natural gas and hydroelectric instead of coal. This can guide policy development about changing energy source structure. [ABSTRACT FROM AUTHOR]

Using data from the 2015 China Household Financial Survey (CHFS) this paper examines the effect of culture on the gender gap in financial literacy. We exploit geographical differences in culture in China, comparing outcomes between rural and urban areas and between areas in the east and west (Shanghai and Chongqing). Using the Blinder‐Oaxaca decomposition we show that, nationally, the gender gap in financial literacy is entirely the product of differences in the way men and women acquire financial literacy. It is a result consistent with cultural effects. When considering just women in Shanghai and Chongqing we observe a raw financial literacy differential of 13% (favoring Shanghai). This gap is also the product of differences in the way financial literacy is acquired. It provides additional evidence as to the importance of culture when it comes to understanding financial literacy. [ABSTRACT FROM AUTHOR]

This paper investigates the effects of institutional investor horizons on investment efficiency in China. By analysing 26,831 firm‐year observations from Chinese listed companies, we find that long‐term (short‐term) institutional ownership is negatively (positively) associated with the level of inefficient investments. A battery of robustness tests indicates causality. Further analyses reveal that the rise in environmental uncertainty and information asymmetry are transmission channels for increased inefficient investments. Moreover, we find that the single controlling shareholder and state owner can curb the management myopia induced by short‐term institutional investors while they do not impede the monitoring effort of long‐term institutional investors. [ABSTRACT FROM AUTHOR]

Our paper contributes to the nascent literature on forecasting the Chinese macroeconomy in a data‐rich environment. We perform a horse race among a large set of traditional models and two classes of factor models with 251 monthly and 34 quarterly macroeconomic variables over the period from January 2002 to June 2018. We find evidence that mixed‐frequency factor models provide superior forecasts of the CPI, RPI, investment, and consumption when compared to the simple benchmark. During the Global Financial Crisis period, we find little evidence of superiority of factor models over the simple benchmark AR(p) model. [ABSTRACT FROM AUTHOR]

Based on three case studies of Chinese Internet start‐ups, this study seeks to address the research question: "How is digital entrepreneurship enacted in China?" Our findings reveal that there was a common theme that underpinned the start‐ups we studied, which we termed 'Qinghuai' in the language of the informants we spoke with. In this paper, we explain the roots of the concept and its six constituent elements at the individual, organizational, and ecosystem levels. These elements are then abstracted into two dimensions: (a) spiritual idealism and (b) perpetual development. We argue that Qinghuai as a concept is a product and reflection of the cultural and institutional complexity of contemporary China. Further, we discuss how Qinghuai facilitates digital entrepreneurship across the business, organizational, and technological domains. This explanation is substantiated by data from our three cases and juxtaposed with what has been discussed in the existing digital entrepreneurship literature. Finally, as we present the contributions of our study, we elaborate on (a) how Qinghuai reflects the contemporary context of China; (b) how Qinghuai is instrumental to digital entrepreneurship in China; and (c) how Qinghuai is different from other related concepts including Guanxi, collectivism, collective action and social entrepreneurship. We conclude the paper by discussing its limitations, future research opportunities, as well as its practical implications. [ABSTRACT FROM AUTHOR]

This paper examines the impacts of a government‐led e‐commerce expansion project on household income. We find that the project has led to increases in rural household income. The positive impacts are more prominent for lower‐income rural households. The income‐increasing effects are driven by the reduction in information search costs and transportation costs. The provision of complementary interventions for e‐commerce, such as promoting the internet‐related skills of farmers and the expansion of formal financial credit support is also important for the program's success. The results provide policy implications for the design and implementation of government‐led e‐commerce policies in developing economies. [ABSTRACT FROM AUTHOR]

China's per capita dairy consumption has been far below the intake level recommended by the World Health Organization. Since the dairy industry is a significant contributor to carbon emissions, the recently launched "Double‐Carbon" goals in China may also suppress the supply of dairy products, further reducing Chinese residents' dairy intake. While the notion of sustainable (i.e., nutritious and environmentally friendly) food consumption has recently gained popularity in the policy arena, whether Chinese milk consumers are ready to embrace this notion and what specific measures can effectively promote sustainable milk consumption in China remain unclear. On the basis of a discrete choice experiment, this paper examines how information nudges (i.e., randomly provided messages with different contents and details) may steer Chinese consumers into choosing liquid milk products with attributes that are more nutritious and environmentally friendly. Our analysis, involving 839 consumers randomly selected from Beijing, China, shows that consumers value carbon labels the most, followed by nutrition claims, sustainable production claims, and energy conservation certificates. Meanwhile, nutrition information induces consumers to place higher values on nutrition claims; in contrast, environmental information raises consumers' willingness to choose environmental sustainability‐related attributes. Finally, the concreteness of the information provided strengthens these effects [EconLit Citations: D12, Q01, Q13, Q18]. [ABSTRACT FROM AUTHOR]

Aims: To translate and validate the Publication Pressure Questionnaire‐revised (PPQ‐r) among the Chinese nurses. Design: A cross‐sectional descriptive study. Methods: The classical forward/backward translation of the PPQ‐r was conducted first, and then the psychometric values were tested using the data collected in September, 2021 among 924 Chinese nurses from a university hospital in China by calculating its content validity index, construct validity, both convergent and discriminant validity, and internal consistency reliability following the COSMIN guidelines. Results: The proposed three‐factor structure of original PPQ‐r cannot be confirmed in present study. With exploratory factor analysis, a new two‐factor structure with 9 items was extracted, accounting for 62.718% of the variance. Confirmatory factor analysis indicated satisfactory goodness of all fit index values: χ2 = 75.53; df = 23; χ2/df = 3.28; CFI = 0.973; TLI = 0.958; RMSEA = 0.07 and SRMR = 0.047. Both sub‐scales yielded good internal consistency with Cronbach's alpha being 0.845 and 0.876, respectively. The Chinese version of PPQ‐r could be accepted as a reliable and valid tool to measure the Chinese nurses' publication pressure. Patient or Public Contribution: Participation of nurses in this study was limited to the data provided through participant survey. [ABSTRACT FROM AUTHOR]

This paper investigates the effects of corruption on centralisation in state‐owned enterprises (SOEs). Based on a unique setting in China where both parent firms' and the whole business group's financial statements are mandatorily disclosed, we construct a novel proxy of centralisation exploiting the allocation decision rights within business groups. We then introduce a quasi‐natural experiment (i.e., China's anti‐corruption campaign) to present that the reduction of corruption significantly enhances the centralisation of SOEs. A plausible mechanism is that the anti‐corruption campaign reshapes firms' internal governance and operation. Our findings are particularly pronounced for SOEs with low levels of financing conditions and ownership concentration. [ABSTRACT FROM AUTHOR]

This paper studies the impact on firm value of tighter checks on bureaucrats' behaviour. We use as a natural experiment the revision in 2015 by the Communist Party of China (CPC) of its regulations on disciplinary actions. We document a positive and substantial market reaction following this unexpected policy change that tightened and formalised constraints on bureaucrats' misconduct. The impact is less pronounced for firms with state ownership, firms having CEOs or directors with CPC membership, and firms that operate in provinces with better institutional quality. The subsequent revision in 2018 that enforced political obedience is not associated with a positive market reaction. [ABSTRACT FROM AUTHOR]

Local governments and enterprises are two important actors in China's environmental governance system. A better understanding of the interaction between corporate environmental responsibility (CER) and governmental environmental responsibility (GER) will help to enhance the collaboration between corporations and the government, craft a good environmental governance system, and achieve coordinated development of economic development and environmental protection. This paper divides GER into three types: policymaking responsibility, implementation responsibility, and supervisory responsibility. Based on panel data on Chinese manufacturing companies listed during the period 2012–2017, this paper analyzes the relationship between GER and CER and explores the impact of the collaboration between the two on regional environmental pollution. The research results show the following: (1) in China, policymaking responsibility significantly promotes CER, whereas implementation responsibility has a significant negative impact on CER, and supervisory responsibility has no significant influence. (2) The collaboration between GER and CER effectively reduces solid waste discharge in a region but does not significantly reduce SO2 emissions or wastewater discharge. [ABSTRACT FROM AUTHOR]

Based on daily temperature observation dataset with high quality and spatial resolution, this paper revealed the dominant invading paths of the extreme cold surges (ECSs) within China by using the fifth percentile of temperature drops instead of the traditional unified threshold in the operation. The maximal probabilities of the ECSs from the upstream regions to the down‐stream regions along the invading paths are also provided. Results indicate the distribution of the fifth percentile is quite different in various regions, with the highest value centers of more than 8°C in northern China, and a secondary center of 6–7°C in southern China. While in the areas between the Yellow River basin and the Yangtze River basin, the two longest rivers in China, the values are below 5°C. This result explains the unreasonable frequency gap between the two rivers in previous unified threshold. Based on the distribution, the whole country is roughly divided into 18 regions at an approximate box of 5°N × 10°E to acquire clear and objective invading paths by the lead–lag correlation analysis and an objective identification of the paths. Results show the ECS invading path in northern China has a dominant west or northwest track. But in southern China, the invading paths are more complex, generally from north to south. In China, about 30–40% ECS cases in the upstream regions can lead to the ECSs in the down‐stream regions along the dominant paths. By the identification and the lead–lag correlation, northwestern China could be regarded as the source of ECSs invading other regions. [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]

This paper investigates the implications of the political incentive system reform for industrial land supply. We study the stronger political incentive for environmental protection in China that resulted from the Cadre Evaluation System (CES) reform in 2013. Using the interaction of municipalities' pre‐CES environmental quality with the introduction of CES reform, we document dirty cities experience a significantly larger decline in industrial land supply following the reform. Also, the reform may have a larger impact on dirtier industries and wealthier cities, and our baseline results are mainly driven by the local leaders who are more likely to be promoted. [ABSTRACT FROM AUTHOR]

Why has China delayed commercialization of genetically modified (GM) crops over the last decade given its heavy public R&D investment in biotechnology and maturing GM capacity? Further, imports of GM products for consumption are allowed while similar domestic GM‐crops cannot be commercialized. The paper analyzes, from a political economy perspective, how the delay of commercialization arises from the government balancing interests and conflicts among vested interests to keep social stability based on comprehensive secondary data and unique primary survey data. Anti‐GMO activists have, over time, been able to shape the public perception of biotechnology. Their efforts have garnered widespread acceptance among interest groups and have been sufficient to raise the specter of underlying social instability, which is always near the top of mind for China's government. As a result, no movement on commercialization has been made since 2010—more than a decade ago. The failure to commercialize is important because food production would increase considerably if China were able to commercialize GM crops and the resolution of the biotechnology issue has broad implications for food security. [ABSTRACT FROM AUTHOR]

On the path to carbon neutrality, the journey to net‐zero emissions in the industry is achievable, and the green development of industrial parks is crucial for a smooth transition. We examined a sample of 171 green industrial parks certified by China's Ministry of Industry and Information Technology (MIIT). Using the Tapio decoupling model, we conducted decoupling analyses at both the national and regional scales of their economic growth and environmental conservation for three consecutive years. Spatial heterogeneity is found in carbon‐economy decoupling states and carbon‐pollutant synergy effects. Industrial parks in the east of China present better carbon‐economy decoupling states and carbon‐pollutant synergy effects than the other regions. The CO2 emissions determinants were explored by using the STIRPAT model. The variable industrial value‐added per capita, which is representative of economic growth, presents a positive and significant effect on emissions; the energy output and the proportion of high‐tech industries present a negative effect. However, after dividing the parks into groups by their leading industries, the influence of the variables started to show a power discrepancy. The heterogeneity analysis of this study can provide a basis for developing diversified strategies for Chinese industrial parks under the net‐zero emission goal. Plain Language Summary: This paper evaluated the economic development and environmental impacts of the 171 green industrial parks certified by the Ministry of Industry and Information Technology (MIIT) of China, using data and materials that were inventoried and summarized for the first time. The relationship of economic growth and CO2 emissions and other major pollutants was examined using the Tapio decoupling model, and the results suggest strong decoupling states for most of the cases, and a significant carbon‐pollution synergy effect. Further regression analysis indicated that industrial output and green and high‐tech industries are significant drivers of decoupling. The discoveries will guide future actions and policies toward sustainable development for the industrial parks of China. Key Points: Economic growth and environmental impacts are strongly decoupled for most of the studied green industrial parksA significant carbon‐pollution synergy effect is found in the green industrial parksIndustrial output and green and high‐tech industries are significant drivers of CO2 emissions but show discrepancy in different industries [ABSTRACT FROM AUTHOR]

This study examines the impact of CEO foreign experience on corporate sustainable development from the angle of firm green innovation. Using manually collected data of CEOs' foreign experience, we find that CEO foreign experience is positively associated with firm green innovation in China. The positive relationship between CEO foreign experience and green innovation (including green invention patents and green utility model patents) is more significant when the firm is state owned, when the firm has better corporate governance, and when the firm is subject to a better institutional environment. Further analyses indicate that both foreign work and foreign educational experiences matter; relative to experiences gained in underdeveloped countries, those related to developed economies tend to be more influential in facilitating green innovation. Finally, the documented association is robust to a series of robustness checks, including propensity score matching, instrumental variable approach, Heckman two‐stage model, and the inclusion of firm fixed effects. Overall, this paper contributes to the upper echelons perspective, and it also offers clear practical implications through showing that hiring returnee CEOs can enhance firms' sustainable development, which could be of interest to policy makers in other emerging markets. [ABSTRACT FROM AUTHOR]

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Many calculation methods have been developed to forecast carbon emissions (CE). These methods can be classified into two categories: time series prediction and variables regression. However, time series prediction cannot fully use all CE‐related information and variables regression can only predict CE by knowing other variables in advance. To solve these problems, KLS is proposed in this paper which is a fusion of Kalman filter (KF), long short‐term memory (LSTM), and support vector machine (SVM). LSTM is used to predict CE as a time series, and 10 of 14 variables are selected by ridge regression (RR) to regress CE by SVM. Finally, KF is used to integrate the results of LSTM and SVM based on their variances. Overall, statistical filtering and deep learning algorithms are used in this paper, which achieved the fusion of time series prediction and variables regression. To confirm the effectiveness of KLS, we trained KLS model by CE from 1965 to 2005 and tested the model by the data from 2006 to 2014. The results showed KLS was more accurate than other four existing methods. Finally, we predicted the CE of China in next decade. [ABSTRACT FROM AUTHOR]

This paper presents a longitudinal interpretive case study on the development of healthcare costing in China over the period 2002 to 2015. Adopting a middle‐range theory lens, the study explores dynamic interactions in the use of cost information among societal institutions and organizations. It reports the successful internalization of costing systems in public hospitals in Beijing, which supports the effectiveness of a hybrid steering mechanism combining both transactional and relational features; however, such successful internalization does not indicate the success of steering the lifeworld of institutions and organizations towards change. Notably, hospitals' responses to steering alter over time, from passive absorption to active manipulation, revealing how cost information may underpin hospital beliefs in marketization. At an institutional level, the paper provides empirical evidence for relational steering among societal institutions, where a reaction of 'rebuttal' is observed. It offers insights on how accounting can be a powerful tool in legitimizing such rebuttal, while keeping political considerations as hidden agendas. The findings suggest the importance of understanding lifeworld complexity at both societal and organizational levels, and cross‐institutional collaboration in using accounting as a steering mechanism. The findings have important policy implications for public sector reform, both in China and worldwide. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of land tenure reform on grassland quality in pastoral areas of China. Using nearly 40 years of remote sensing combined with survey data in the pastoral area of China, we find that the privatization of land use rights without physical (i.e., fences) or legal (i.e., certificates) protection has little impact on improving grassland quality measured by the Normalized Difference Vegetation Index (NDVI). The enhanced privatization of grassland use rights with physical or legal security significantly increases grassland quality. We show that after the privatization of land use rights with security protection, grassland quality experienced about a 3% increase. Our results suggest that switching to privatized use rights without security protection from previously cooperatively managed land may undermine the positive environmental effects of land tenure reform. [ABSTRACT FROM AUTHOR]

Firms in transition economies often suffer financial constraints. In initial public offerings (IPOs), however, many newly listed Chinese firms raise funds in excess of what is originally planned. This paper examines whether these excess IPO funds are wasted on value‐destroying spending or enable firms to take growth opportunities. After controlling for the endogeneity issue, we find that Chinese firms with excess IPO funds have better post‐IPO operating performance, especially those with limited financing channels. In revealing the mechanism, we find that excess IPO fundraising alleviates financial constraints and reduces the cost of debt. [ABSTRACT FROM AUTHOR]

This paper documents empirical support for a key micro‐level channel – banking structure change induced by entry of small banks – through which financial sector deregulation affects corporate innovation. Using China's banking deregulation on city commercial banks in 2006, we find robust evidence that banking structural change induced by the entry of small banks stimulates local industrial patent output. Furthermore, we find that the stimulating effects of small bank entry on local industrial patent output are more pronounced when the local banking system is previously dominated by large state‐owned banks and when the small banks have entered a city with more small and medium‐sized enterprises (SMEs). Our study suggests that banking structure change induced by small banks crucially affects the real economy. [ABSTRACT FROM AUTHOR]

Market power exercised by large dairy brands is an important policy concern in China, while imported milk players have not received enough attention. In this paper, we construct a New Empirical Industrial Organization (NEIO) model to estimate the market powers of fluid milk products. Our results indicate the Chinese fluid milk market is imperfectly competitive where the top three domestic brands own strong market power, but there is no evidence to justify the existence of market power for the imported milk. It might be due to the high price elasticity of demand, inefficient sales channels, and entry barriers of imported fluid milk. In terms of policy implications, the government needs to create a more competitive market for the whole dairy industry. Overseas suppliers also need to improve their competitiveness by optimizing their sales network and enhancing consumers' brand loyalty. [EconLit Citations: Q13, L66, L52]. [ABSTRACT FROM AUTHOR]

Copyright of Canadian Geographer is the property of Wiley-Blackwell 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.)

Using data from 3212 enterprises in China's A‐share market during the 2007–2018 period, this paper investigates the relationship between green innovation (GI) and enterprise value by using ordinary least squares (OLS) and two‐stage least squares (2SLS) regression. We find that for every 1% increase in the proportion of the number of the enterprise's green patent applications, the enterprise value (Tobin's Q) will increase by 0.023. Moreover, GI still has a positive lag effect on enterprise value after 2 to 6 years. However, the positive effect of GI on enterprise value may only exist in young non‐state‐owned enterprises. At the same time, GI has better performance in heavy pollution industries and non‐high‐tech industries. Moreover, we prove that the improvement of profitability may be a mechanism for GI to affect enterprise value, with a mediating effect accounting for 26.1% of the total effect. The finding on the causal relationship between GI and enterprise value in this study is of great significance for further understanding of the practical value of GI and has certain reference value for the formulation of incentive policies for different industries and enterprises. [ABSTRACT FROM AUTHOR]

Why did people across the world and throughout history believe that dreams can foretell what will occur in the future? In this paper, I attempt to answer this question within a cultural evolutionary framework by emphasizing the cognitive aspect of dream interpretation; namely, the fact that dreams were often viewed as significant and interpretable has to do with various psychological and social factors that influence how people obtain and process information regarding the validity of dream interpretation as a technique. Through a comprehensive analysis of a large dataset of dream occurrences in the official Chinese historical records, I argue that the ubiquity and persistence of dream interpretation have a strong empirical component (predictively accurate dream cases), which is particularly vulnerable to transmission errors and biases. The overwhelmingly successful records of dream prediction in transmitted texts, I suggest, is largely due to the fabrication and retrospective inference of past dreams, as well as the under‐reporting of predictive failures. These "positive data" then reinforce individuals' confidence in the predictive power of dreams. I finally show a potential decline of the popularity of dream interpretation in traditional China and offer a few suggestive explanations drawing on the unique characteristics of oneiromancy compared to other divination techniques. [ABSTRACT FROM AUTHOR]

We explore the influence of text tone on capital structure, especially the impact of positive tone in management discussion and analysis (MD&A) disclosures on the capital structure adjustment speed of Chinese listed firms in Shanghai and Shenzhen Stock Exchange. We find that positive tone in MD&A disclosures significantly promotes the dynamic adjustment of capital structure. Specifically, we identify two types of positive tone: exaggerated and true. We find that only true positive tone significantly promotes the adjustment speed of capital structure. This paper supplements the relevant literature on the dynamic adjustment of capital structure from the perspective of non‐financial narrative information, and provides evidence for the effect of strategic tone management in textual analysis. [ABSTRACT FROM AUTHOR]

This paper uses activity theoretic analyses to investigate the role of governments in developing rural e‐commerce ecosystems and the effects of such ecosystems on poverty alleviation. On the basis of a case study of Longnan, one of the poorest regions in China, this paper reports and analyses the various actions taken by local governments in nurturing, supporting, and regulating the development of a local rural e‐commerce ecosystem and using this ecosystem to transform poverty alleviation. Our study articulates a model of poverty alleviation through e‐commerce. By documenting and theorizing the mechanisms underlying rural e‐commerce development and poverty alleviation through e‐commerce as well as governments' role in developing and sustaining them, this paper contributes to establishing a "theory of the solution" to the grand challenge of poverty alleviation both in China and globally. [ABSTRACT FROM AUTHOR]

Copyright of Papers in Regional Science is the property of Wiley-Blackwell 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.)