摘要:
Abstract Existing studies on the environmental Kuznets curve (EKC) neglect the inverse effect of pollution transfer from environmental regulation interactions on pollution reduction from a risk analysis perspective. Based on the regional differentiated attitudes on the environmental regulation reached in risk communication by the risk awareness biases of multiple interest groups, this article clarifies the causality between risk communication and risk transfer based on multistakeholder engagement processes; furthermore, the article incorporates the simultaneous action of the technological innovation effect and pollution risk transfer effect to construct a spatial environmental hyperbolic model with a bidirectional correlation between pollution emissions and economic growth in different regions. To verify our model, we select the pollution from agricultural watersheds in China as a sample to examine the two inverse effects. The results demonstrate that (1) agricultural watershed pollution and economic growth show an inverted U‐shaped relation and a U‐shaped relation in the local region and adjacent regions, respectively; (2) the pollution reduction assessment of the classical EKC model can be largely attributed to pollution risk transfer behavior; and (3) the turning point of the U‐shaped curve appears earlier than that of the inverted U‐shaped curve in the spatial hyperbola model. The findings suggest that stakeholders should consider the risk awareness bias caused by the imbalance of regional economic development and the scenarios that provide a “haven” for pollution risk transfer. Moreover, our study expands the theoretical connotation of the classical EKC hypothesis and is more suitable for pollution reduction scenarios in developing countries.
作者机构:
[Li, Zhisheng; Zeng, Xiongwang] Hunan Agr Univ, Sch Business, Changsha 410128, Peoples R China.;[Zeng, Fusheng] Hunan Agr Univ, Sch Econ, Changsha 410128, Peoples R China.;[Caputo, Francesco] Univ Naples Federico II, Complesso Univ Monte St Angelo, Dept Econ Management & Inst DEMI, I-80126 Naples, NA, Italy.;[Chin, Tachia] Honghe Univ, Coll Business, Yunnan 661100, Mengzi, Peoples R China.
通讯机构:
[Tachia Chin] C;College of Business, Honghe University, Mengzi 661100, China
关键词:
production efficiency of rice;grain security;spatiotemporal evolution;influencing factors;spatial autocorrelation analysis model;geographic detector model
摘要:
Abstract: In a response to the appeal for securing the rice production efficiency to achieve the United Nations Sustainable Development Goals, we adopted a geographic detector model to investigate the spatiotemporal evolution trajectory and driving forces of the rice production in the world’s largest rice-producing country, China. We have analyzed the spatiotemporal evolution features and aggregation patterns of county rice production efficiency based on panel data of 122 counties in Hunan Province, one of the main grain production provinces in China, from 2006 to 2018. Our findings indicate: (1) Hunan Province’s rice production in three counties (i.e., Taoyuan, Liling, and Anren) showed the highest efficiency; there were pronounced regional variances in rice productivity which results in a sharp and rapid shrink of the range of rice productivity, (2) financial investments in agriculture, forestry, and water resources, as well as per capita disposable income of farmers, were the main determinants of the spatiotemporal variation in rice production efficiency, (3) the spatiotemporal divergence of rice production efficiency at the province level was U-shapedly, influenced by the share of secondary industry in GDP; the southern Hunan region received the biggest contribution from farmers in terms of disposable income per person at the regional level. Overall, theoretically, this study offers fresh evidence for regional optimization of rice and other grain production from a novel integrative approach of the geospatial and the land resource preservation. Practically, it provides feasible guidance for the high-quality development of grain production in China, which may also help eradicate hunger and attain sustainable grain production all over the world. Keywords: production efficiency of rice; grain security; spatiotemporal evolution; influencing factors; spatial autocorrelation analysis model; geographic detector model
摘要:
This study explored how self-control and eudaimonic orientation are associated with learning burnout and internet addiction risk (IAR). Our results demonstrate that learning burnout has a significant and positive impact on IAR. The impulse system and control system play parallel mediating roles in the relationship between learning burnout and IAR. The relationship between learning burnout and IAR is moderated by eudaimonic orientation. Finally, the mediating role of the impulse system on learning burnout and IAR is moderated by eudaimonic orientation. With these findings, our study clarifies the mediating roles of the impulse system and control system in learning burnout and IAR and the moderating effects of hedonic orientation and eudaimonic orientation. Our study not only offers a new perspective for IAR research but also has practical implications for intervening in middle school students’ IAR.
摘要:
How to identify the spatial spillover effects and pollution risk transfer in cross-border tourism remains a research gap in the literature. This study embeds disembodied technology communications into the classical environmental Kuznets curve to develop a new tourism-induced environmental spatial hyperbolic model to differentiate these two opposite effects. This study finds that the disembodied technology communications of cross-border tourism reduce the pollution emissions of destinations in both local and adjacent regions. The relationships between pollution emissions and the economic growth of destinations in local and adjacent areas present an inverted U-shaped curve and a U-shaped curve, respectively. These results highlight that governments should upgrade the quality of cross-border tourism consumption to induce disembodied technology communications from developed countries.