Shandong Academy of Social Sciences

Key ecological function areas are responsible for protecting and restoring ecosystems and alleviating regional ecological deterioration. Revealing the inherent relationship between land use/cover (LULC) change and ecosystem service value (ESV) in such areas is of great significance for sustainable development. We used LULC and other data from 2000, 2010, and 2018 to analyze the spatiotemporal evolution of ESV in China’s Sichuan-Yunnan Ecological Barrier based on six LULC types: Farmland, Forest, Grassland, Water, Built-up land, and Other. With the goal of maximizing both ESV and economic benefits, we used coupled gray multi-objective optimization (GMOP) and patch-generating land-use simulation (PLUS) models to assess three scenarios (business-as-usual, BAU; ecological development priority, EDP; and ecological and economic balance, EEB) in terms of the spatial distribution and optimization of LULC structure in 2026. The study area was dominated by Forest and Grassland, with major LULC changes from 2000 to 2018 mainly deriving from transfers between Farmland, Forest, and Grassland along with Farmland conversion to Built-up land. ESV trended upward during the study period, mainly due to contributions from Forest and Water. Under EDP scenario in 2026, the expansion Built-up land was eased, which expansion area is the smallest among the 3 scenarios at 643.03 km2, the Forest area increased by 673.80 km2, the overall LULC structure was improved, and the total ESV increased by 2.502 billion yuan. Under EEB scenario, Forest area decreased by 405.95 km2, but the economic benefits increased remarkably, showing the effect of supporting larger-scale economic growth with less land resource consumption. Under EDP scenario, ESV changes were most dramatic at local scales. The use of coupled GMOP-PLUS models for LULC optimization allowed improved assessment of social, economic, and environmental factors and provided a new way to address key technical problem in land-use planning in large-scale ecological function areas.

In this paper, we argue that school leaders are removing those who embody or vocalize alternative conceptualizations of educator. It seems as if Collins’ call in his 2001 book Good to Great to get the right people on the bus is being taken very seriously by school leaders seeking to raise standards. This is achieved by eradicating ‘inadequate’ teaching, and implementing the leader’s ‘vision’, which we argue consists in silencing and potentially removing professional voice, knowledge and contributions. We present data from nine headteachers who talk about their vision and vision work, and in deploying Arendtian thinking, we think the unthinkable about how teachers can be rendered disposable and are disposed of. Arendt’s political thinking tools help us to consider how, through routine practices, current models of school leadership enable totalitarian practices to become ordinary.

The business connections between Beijing, Hong Kong and Shanghai and other major world cities are investigated using the interlocking network model based upon the location strategies of advanced producer service firms. This approach emphasises non-hierarchical relations between cities. A key new finding is that city-dyad analysis enhances the prominence of these China cities compared with simple ranking by total global network connectivity. This suggests that Hong Kong, Shanghai and Beijing have developed more strategically important roles in the world city network than previously understood. Yet the geographies of these links are distinctive, with Shanghai shown to be better connected to the more important world cities such as London and New York than Beijing; and Beijing is found to be better connected to political world cities such as Washington and Brussels, and to other Pacific Asian cities, than Shanghai. The results are interpreted as suggestions for developing a new research programme.

The National Ecological Barrier Zones are an important part of China’s ecological security strategy. The construction of a scientific and reasonable ecological security pattern (ESP) is important for the healthy development of national ecological barrier zones. The existing literature does not consider the impact of the potential changes in ecosystem health and land use on ESP construction. In this study, we considered a typical composite national ecological barrier area, the Sichuan-Yunnan ecological barrier, to analyze the ecosystem health of such areas; we considered the probability of future land growth change, circuit theory, and ecosystem service trade-off and synergy, to construct a sustainable ESP. Spatial heterogeneity was observed in the ecosystem health level of the Sichuan-Yunnan ecological barrier; the high-value areas of ecosystem health were mostly distributed in the central and southern parts of the study area, but the low-value areas were mostly distributed in the northeastern and western regions. The ESP contained 246 ecological sources (distributed in the forest and grassland contiguous areas in the south, central, and northeast regions), 563 ecological corridors that portrayed obvious differences in spatial distribution, 123 ecological pinchpoints, 231 ecological barriers, and topographic gradient characteristics. Based on this data, we proposed the relevant policy opinions on zoning control. The results show that incorporating trade-offs for ecosystem services into ecosystem health assessments can lead to a more effective selection of ecological sources. Meanwhile, the ESP constructed by using the probability of land growth changes to correct the resistance surface can more truly reflect the need for ESP construction under the future development trend. The research framework of “ecosystem health assessment that incorporates ecosystem service trade-offs - the probability of future land growth changes - circuit theory” could address the technical issues in constructing the ESP of compound large regional/national ecological barrier regions and key ecological function areas.

Abstract Based on 2012–2017 panel data of 282 China’s cities, this paper uses the entropy method to calculate an urban resilience index, uses spatial cold–hot spots model to explore spatial characteristics of urban resilience, uses revised the gravity model to construct urban resilience spatial network characteristics, and uses the social network analysis method to analyze spatial network characteristics of urban resilience. The results show that: (1) Urban resilience of China’s cities has been gradually improved, and there is a geographical aggregation effect, with significant changes in hot spots and insignificant changes in cold spots. (2) Urban resilience has obvious spatial correlation and linkage effects and strong temporal fluctuation. The cities with higher degree centrality and closeness centrality are consistent in spatial distribution, mostly located in Bohai Rim, Pan‐Yangtze River Delta, Pearl River Delta and some central regions. The centrality obviously shows non‐equilibrium in spatial distribution. The cities with high centrality are mostly provincial capitals. (3) The “club effect” has not yet been reflected in the urban resilience spatial network, and the advantages of different regions are obviously different. Therefore, it is necessary to face up to the spatial difference of urban development and enhance the diversity and pertinence of urban resilience construction.

Abstract Rapid adoption of Bacillus thuringiensis (Bt) transgenic hybrid cotton ( Gossypium hirsutum L.) in China is greatly attributed to high‐quality hybrid seed produced in northern Shandong cotton production area; however, seed yield has reached a plateau in this area in recent years. Shifting the growing season earlier in the year by planting earlier in a greenhouse‐like hut and transplanting the raised seedlings to the open fields later may allow the crop to produce more seeds. Four‐year consecutive experiments conducted in Huimin County (northern Shandong, China) showed that early‐season chilling stress on seedlings was avoided in such a hut, and that the blooming period was extended by about 1 week longer and the peak blooming occurred 5 days earlier in the year in the transplanting system than in the normal planting system. The number of early‐season blooms and the number of bolls retained per unit area in transplanting system were significantly higher than those in normal planting system, but there were no significant differences in boll size and lint percentage between the two planting systems. Seed yield and quality parameters were significantly improved in the transplanting system through the increased number of bolls per square metre and earlier blooming respectively. As a result of improvement in seed yield and quality, the net revenue for seed producers with the transplanting system was increased by 20.8 and 22.5 % in 2002 and 2003, respectively, compared with the corresponding net revenue in the normal planting system. Seedling transplanting is a potent way to enhance hybrid seed production in Bt transgenic cotton.

Suicide rate is relatively high among Chinese rural elderly. While there has been some exciting work on reporting and preventing suicide among community-dwelling elderly, only a few published studies have addressed the issues of rural nursing homes in China. This study aimed to investigate the relationship among perceived social support, physical health, and suicidal thoughts of the elderly living in Chinese rural nursing homes. It also examined the moderating effects of social support on the path from physical health to suicidal thoughts of the rural institutional elderly in China. This study investigated 205 participants aged 60 years and above in Chinese rural nursing homes. Participants' suicidal thoughts, perceived social support, and physical health were assessed. This study conducted descriptive analysis, Student's t-test, and Pearson's chi-square test to test how physical health and social support predicted suicidal thoughts, as well as the moderating effects of family's, friends', and others' social support on physical health and suicidal thoughts. Both physical health and perceived social support were significantly related to suicidal thoughts. Perceived social support from family, friends, and significant others moderated the relationship between physical health and suicidal thoughts. Findings of this study suggested that increasing social support and improving physical health would be effective in both suicide prevention and intervention for the residents in Chinese rural nursing homes.

Supplier selection is a difficult and important issue in sustainable supply chain management. This research proposes a managerial framework based on Industry 4.0, a plan for evaluating and choosing sustainable suppliers to implement circular economy practices. Green supplier selection (GSS), the circular economy, and Industry 4.0 have become hot topics in recent operations management discussions. Three main categories (e.g., economic, environmental, and social) and 16 subcategories related to supplier selection decisions were identified using a hybrid approach combining literature reviews and industry expert opinions. In the fuzzy environment of Pythagorean, this paper proposes comprehensive techniques for the selection of green suppliers based on entropy, stepwise weighted assessment ratio analysis (SWARA), and complex proportional assessment (COPRAS) methods. To calculate the standard weight, this technique first merges the objective weight found by the entropy method and the subjective weight found by the SWARA method. The findings show that access to finance and financial availability for implementing Industry 4.0 within the circular economy (ECO5) and R&D in environmental issues using Industry 4.0 technologies (ENV7), Information technology (IT) facilities (ECO6), and Product cost/price (ECO1) showed highest ranking among sub-criteria. Moreover, Supplier 5 was listed as the best sustainable supplier when they started making such a decision. The results of the proposed method help decision-makers make effective and efficient sustainable supplier selection.

The carbon reduction effect of technological innovation in the transportation industry is conducive to China’s anticipated realization of carbon neutrality. Therefore, we evaluated carbon emission reduction effect of technological innovation in the transportation industry in China. Based on the panel data of 30 sample provinces in China (excluding Hong Kong, Macao, Taiwan and Tibet) from 2012 to 2018, using the Moran’I index and Getis-Ord Gi index, this paper analyzes the evolutionary trend and spatial autocorrelation of carbon emission in the transportation industry, and analyzes the impact of technological innovation on carbon emission levels of the transportation industry and its spatiotemporal differences by using the geographical and temporal weighted regression (GTWR) model by using ArcGIS 10.4 software. The conclusions are as follows: The carbon emission level of China’s transportation industry generally has been rising steadily, showing a spatial distribution pattern of high emissions in the east and low emissions in the west. The cold spots are concentrated in the western region, and the hot spots are situated in the central and eastern regions. Technological innovation has a carbon reduction effect on the transportation industry in the eastern and north-eastern regions, while the effect in other regions is not obvious. However, there is an obvious “inverted U-shaped” relationship between technological innovation and the transportation industry’s carbon emissions. The technological innovation in the transportation industry will have a significant carbon reduction effect after breaking through the technical pain points. This carbon reduction effect has a higher effect on the western region than on the eastern region. In addition, the economic development level, the fiscal expenditure proportion of the transportation industry, the higher education level, and the proportion of fixed asset investment in the transportation industry have played a positive role in reducing carbon in the transportation industry, but the spatial heterogeneity of this carbon reduction effect is relatively strong. Therefore, during the “14th Five-Year Plan” development period in China, it is necessary to continuously promote the low-carbon development of the transportation industry with technological innovation, while highlighting the differentiated carbon reduction governance, and consolidating the role of talents and fiscal support.

The Pilot Free Trade Zone (PFTZ) policy represents a significant step in China’s institutional innovation and broader opening-up, crucial for fostering green and high-quality economic growth. The existing literature has conducted in-depth studies on the economic effects, energy conservation, emission reduction and green innovation of PFTZs, but the effect on green technology innovation efficiency (GTIE) remains underexplored. Institutional innovation in the PFTZs will profoundly affect regional green development, and green innovation, and will certainly affect the regional GTIE. Based on this, this paper uses the city-level data of prefecture-level cities in China from 2005 to 2020 to empirically test the impact of PFTZ establishment on GTIE. First, the Super-SBM model was applied to evaluate the GTIE across 281 Chinese cities. Then, taking the establishment of PFTZs as a quasi-natural experiment, the multi-stage differentially differential model is constructed to empirically assess PFTZ policy’s impact on GTIE. The findings indicate that PFTZs can significantly enhance the GTIE. This improvement is facilitated through four pathways: the digital economy, the high-tech industries agglomeration, innovation agglomeration, and talent agglomeration. The results offer strategies for balancing external openness with environmental protection in developing countries and furnish empirical support for creating high-quality development frameworks.

Purpose For the developing countries involving in the Belt and Road Initiative (BRI) with China as the main source of foreign development investment (FDI) and development as the top priority, it appears to attract more and more attention on how to make the best use of China’s outward foreign development investment. However, the contradictory evidence in the previous studies of FDI spillover effect and the remarkable time-lag feature of spillovers motivate us to analyze the mechanism of FDI spillover effect. The paper aims to discuss this issue. Design/methodology/approach The mechanism of FDI spillovers and the unavoidable lag effect in this process are empirically analyzed. Based on the panel data from the Belt and Road developing countries (BRDCs) and China’s direct investments (CDIs) from 2003 to 2017, the authors establish a panel vector autoregressive model, employing impulse response function and variance decomposition analysis, together with Granger causality test. Findings Results suggest a dynamic interactive causality mechanism. First, CDI promotes the economic growth of BRDCs through technical efficiency, human capital and institutional transition with combined lags of five, nine and eight years. Second, improvements in the technical efficiency and institutional quality promote economic growth by facilitating the human capital with integrated delays of six and eight years. Third, China’s investment directly affects the economic growth of BRDCs, with a time lag of six years. The average time lag is about eight years. Originality/value Based on the analysis on the mechanism and time lag of FDI spillovers, the authors have shown that many previous articles using one-year lagged FDI to examine the spillover effect have systematic biases, which contributes to the research on the FDI spillover mechanism. It provides new views for host countries on how to make more effective use of FDI, especially for BRDCs using CDIs.

Reducing agricultural carbon emissions is essential to address climate change comprehensively, and improving factor quality reduces agricultural carbon emissions by promoting agricultural transformation. Based on the policy experiment of high standard farmland construction in China, this paper analyzes the role of factor quality in reducing agricultural carbon emissions using the SARAR model and data from 280 urban agricultural sectors. The study finds a significant spatial correlation between agricultural carbon emissions and factor quality improvement. Factor quality improvement can reduce agricultural carbon emissions. The disequilibrium effect analysis finds that the impact of factor quality improvement on agricultural carbon emissions has a disequilibrium effect. In other words, factor quality improvement mainly affects agricultural carbon emissions in areas with a higher level of agricultural development. The mediating test suggests that factor quality reduces the improvement of agricultural carbon emissions and promotes the transformation of agricultural industrial structure through the mediating factor of agricultural carbon emissions. Finally, in addressing global climate change, this paper attempts to provide policy references for developing countries to reduce agricultural carbon emissions from factor quality improvement.

Identifying the interactions of land use functions (LUFs) is of great significance for alleviating the contradiction between human and land, and promoting sustainable use of land resources. However, few studies concerned the interactions of LUFs in urban agglomerations of ecologically fragile areas in China at a fine scale. In this study, we constructed a quantitative and visualized evaluation system of LUFs that conforms to three primary functions, ten sub-functions, and nineteen indicators of Lanzhou-Xining urban agglomeration (LXUA) in the upper reaches of the Yellow River basin based on the production-living- ecological functions. Then, the comprehensive evaluation method, hot spot analysis, and geographic weighted regression (GWR) model were used to identify the interactions among LUFs and influencing factors of LXUA from 2000 to 2020 at the county and grid scales. The results show that the LXUA is dominated by ecological function (EF), and EF and living function (LF) showing a “U” shaped change feature, while production function (PF) show an inverted “U” shaped change feature. Meanwhile, the cold spots and hot spots of PF and EF present the spatial characteristic of “overall dispersion and local aggregation”, while the LF has no cold spots, and the hot spots present the spatial characteristic of “point-axis”. Moreover, the PF and LF are in a synergistic relationship at two scales, with complementarity in space, while the EF and PF and the PF and LF are both in a trade-offs relationship, with overlap in space. Finally, socioeconomic development factors have remarkable impact on LUFs at the county scale, while LUFs at the grid scale is the comprehensive result of natural conditions, socioeconomic factors, accessibility and political factors. The results can provide references for the LXUA to differentiated design the land use policy, and provide empirical case for other ecologically fragile areas to alleviate the trade-offs of LUFs.

A healthy ecosystem is fundamental for sustainable urban development. Rapid urbanization has altered landscape patterns and ecological functions, resulting in disturbances to ecosystem health. Exploring the effects of urbanization on ecosystem health and the spatial relationships between them is significant for cities along the "Belt and Road" aiming to achieve sustainable regional development. This study took the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) as an example and measured the urbanization level (UL) and ecosystem health index (EHI) from 2000 to 2020 using multisource data. We used bivariate spatial autocorrelation, the geographically weighted regression model (GWR), and the optimal parameters-based geographical detector (OPGD) model to clarify the impact of urbanization on ecosystem health and the spatial relationship between them from multiple perspectives. The major findings of this study were: (1) the EHI in the GBA decreased significantly during the study period, dropping from 0.282 to 0.255, whereas the UL increased significantly, exhibiting opposite spatial distribution features; (2) there was a significant negative spatial correlation between UL and the EHI and significant spatial heterogeneity between high-low and low-high types in the GBA; (3) the negative effects of urbanization on ecosystem health were predominant and becoming more pronounced in the central GBA. Moreover, urbanization had an increasingly significant negative effect, leading to the deterioration of ecosystem health, in the central GBA. Population urbanization drove land urbanization, which became the main factor affecting ecosystem health in the GBA. Overall, urbanization had a significant negative effect on ecosystem health, with this impact being particularly prominent in the core urban junctions of the GBA, which require urgent attention. The results of the study provide a basis for decision making in the context of the steady urbanization and ecosystem health protection of cities along the "Belt and Road".

Complementing internalizing and externalizing developmental outcomes of parental psychological control, in this study, we shift the focus to children's prosocial behaviors. Drawing on self-determination theory and problem-behavior theory, this study addresses the relationship between parental psychological control, social anxiety, socioeconomic status (SES), and children's prosocial behavior. The parental psychological control scale, social anxiety scale for children, and prosocial behavior were applied in the study. Participants were 1202 elementary school-age children in China. The present study showed that parental psychological control was negatively associated with prosocial behavior and social anxiety played a partial mediating role between parental psychological control and prosocial behavior. Meanwhile, SES moderated the relationship between parental psychological control and prosocial behavior. The effect of parental psychological control on prosocial behavior was more significant among students with low levels of SES than the higher ones. The findings showed that parenting plays an essential role in the development of children's prosociality.

It is important for preventing and resolving landscape ecology risk and promoting regional sustainable development to explore the characteristics of temporal and spatial variations of landscape ecology risk of key ecological function zone and to reveal the potential influence of human activity on aggravation of landscape ecological risk. Based on the land cover data of 2000, 2010, and 2020, we constructed a model of risk assessment on landscape ecology, incorporating a landscape index and an assessment of ecological vulnerability, with the support of ArcGIS 10.8 and Fragstats 4.2. The spatial analysis method was used to examine the temporal and spatial variations of landscape ecology risk in ecological conservation in Sichuan-Yunnan provinces. We used the Geodetector to quantify the impacts of natural and social-economy factors in different ranges of region on landscape ecological risk. The results showed that from 2000 to 2020, the area of artificial land surface, water body, shrubland in the study area showed an upward trend, while the area of forest, cultivated land, grassland, wetlands, barren land, and permanent snow cover and glacier showed an downward trend. There was remarkable transfer of landscape types among forest, grassland and cultivated land, especially for the transfer from cultivated land to artificial surface. The mean value of landscape ecological risk had been reducing. The classes of landscape ecological risk was consistent with the changes and shifts of landscape. Landscape ecological risk was mainly at lower, low, and high levels in ecological conservation in Sichuan-Yunnan provinces. Natural factors, including elevation and precipitation, generally drove the temporal-spatial variations of landscape ecological risk. In addition, factors such as economy, society and regional accessibility could contribute to prominent impacts on local area suffering from pejorative risk.

Rapid economic changes in China have produced soaring hospital charges, a breakdown of the old social health insurance system, a resulting crisis in hospital affordability and renewed interest in mechanisms for discounts or exemptions from hospital charges for the poor. Little is known, however, about how effective such systems are in practice. We studied nine public hospitals in Shandong Province that offer discount or exemption mechanisms for the poor. Methods included document review, key informant interviews, detailed review of financial records and focus group discussions. These hospitals receive little government subsidy and must support themselves almost entirely through user fees. Hospital managers saw discount mechanisms primarily as marketing tools and designed them to limit their cost. Only a small fraction of hospital services were eligible for discount, and these were usually low cost or low utilization items. Discounts were generally 10-50% for selected items with very few services exempted from charge. The total value of discounts granted was 1% or less of total hospital operating budgets. Correct identification of indigents was a major difficulty for hospitals. Only a minority of indigents received discounts, the process was sometimes arbitrary and some who received discounts were not really poor. Government policies requiring discounts for the poor were vague and not enforced. The exemption programmes studied do not provide effective protection from hospital charges for the poor. To be effective, exemption mechanisms would likely require both financing and regulation by the government as well as an accurate way to identify the poor.

This paper focuses on how generic skills can be developed to enable young adults to best utilise them in making transitions into the labour market. Drawing on the literature and a Commercial Education Trust study of practices which encourage employer engagement in skills development, it is argued that ‘putting skills to work’ is not automatic or unproblematic. It is not simply a matter of ‘skills transfer’, but a ‘continuous, contextually-embedded and transformative process’ during which individuals, supported by partners, learn how to recontextualise skills to suit different activities and environments. It may be tempting to distil employability into a list of so-called ‘soft skills’, but context matters. It requires more than that which can be taught in Education. Support is needed in the workplace through mentoring, for example, to help recruits acquire knowledge of workplace culture, norms and practices, situational understanding, and apply metacognitive strategies for bringing together this knowledge and a range of different skills and personal attributes in productive application. Further research is needed to explore the inter-relationships between skills supply, demand and utilisation, including ways in which employers can better recognise young recruits’ skills and provide ‘expansive’ working environments that maximise their capabilities and potential for development.

Abstract The provision of water has been a major enterprise in human history. Groundwater was one of the first sources since the prehistoric times to cover human needs. Initially, the exploitation of groundwater has been made by shallow wells and later by boreholes. A water well is constructed through excavation in the ground by digging, driving, boring, or drilling to access groundwater in aquifers. Groundwater wells were used in the Helladic world since Neolithic times. Ancient China developed a sophisticated tool for drilling water wells that is similar to modern machines. Qanat, a system of wells, originated in Iran (Persia), but was adopted by other countries. Moreover, the Indus valley civilization had well-constructed wells mainly for drinking purposes. The construction of wells varied according to local conditions, determined by geology, hydrogeology, and morphology, as well as by local tradition. Furthermore, a well was not just a water source but also became a cultural symbol throughout history, related to local religion and custom. The stepwells in India became not only sources of drinking water, but also holy places (sanctuaries) for bathing, meditation and prayer. In the present review, the evolution of wells through the centuries is examined. The study of water well technologies demonstrates their diachronic evolution and, furthermore, reveals that the ancient people had an outstanding engineering knowledge of water exploitation, which is interesting for water engineering and hydrogeologists, even nowadays.

Land use changes induced by human activities change landscape patterns and ecological processes, threatening regional and global ecosystems. Terrain gradient and anthropogenic multi-policy regulation can have a pronounced effect on landscape components. Forecasting the changing trend of landscape ecological risk (LER) is important for national ecological security and regional sustainability. The present study assessed changes in LER in the Sichuan-Yunnan Ecological Barrier over a 20-year period using land use data from 2000, 2010, and 2020. The enhanced Markov-PLUS (patch-generating land use simulation) model was used to predict and analyze the spatial distribution pattern of LER under the following three scenarios. These were business-as-usual (BAU), urban development and construction (UDC), and ecological development priority (EDP) in 2030. The influence of terrain conditions on LER was also explored. The results showed that over the past 20 years, the LER index increased and then decreased and was dominated by medium and low risk, accounting for more than 70% of the total risk-rated area. The highest and higher risk areas for the three future scenarios have increased in spatial extent. The UDC scenario showed the largest increase of 3341.13 km2 and 2684.85 km2, respectively. The highest-risk level has a strong selectivity for low gradients, with high-level risks more likely to occur at low gradients. The response of ecological risk to gradient changes shows a positive correlation distribution for high-gradient areas and a negative correlation distribution for low-gradient areas. The influence of future topographic gradient changes on LER remains significant. The value of multiscale geographically weighted regression (MGWR) for identifying the spatial heterogeneity of terrain gradient and LER is highlighted. It can play an important role in the formulation of scientific solutions for LER prevention and of an ecological conservation policy for mountainous areas with complex terrain.