Personal injury and property damage caused by wildlife can worsen the relationship between humans and wildlife. In recent years, conflicts between herders and Tibetan brown bears (Ursus arctos pruinosus) (human–bear conflicts; HBCs) on the Qinghai-Tibetan Plateau have increased dramatically, severely affecting community motivation for the conservation of brown bears and other species. Understanding the types, effectiveness, and flaws of current HBC mitigation measures is critical to develop effective strategies to alleviate HBC. From 2017 to 2019, we conducted a systematic field survey regarding HBCs on the Qinghai-Tibetan Plateau. In addition, we invited bear specialists and multiple interest groups to hold an HBC seminar and proposed some potential mitigation strategies. We surveyed 312 families via semi-structured interviews and documented 16 types of HBC mitigation measures. A total of 96% of respondents were using more than two mitigation measures simultaneously. The effectiveness evaluation of HBC mitigation measures showed that: (1) removing food from winter homes while herders were at their summer pastures and asking people to keep watch of winter homes were effective at protecting food and houses; (2) traditional grazing methods (human guarding of livestock all day) and solar soundboxes (attached to livestock) were effective at protecting free-range livestock; (3) solar street lights had a deterrent effect on brown bears and were effective in protecting livestock, houses, and people; and (4) due to the unstable power supply of photovoltaic cells and improper installation of ground wires, electric fences were not ideal in practice. Evaluation of the potential mitigation measures at the seminar showed that upgrading electric fence technology, expanding electric fence pilot areas, installing diversionary feeders, and introducing bear spray were the most optimal solutions. This study provides a scientific basis for creating human–bear coexistence plans on the Qinghai-Tibet Plateau.

Intelligentization-oriented development is a fast-developing trend of technological revolution. It promotes the reconstruction of the industrial system of a region and affects its overall industrial competitiveness. This paper sets up a variety of models featuring intelligentization level and multi-dimensional industrial competitiveness, and collects data of 28 provinces and cities in China from 2003 to 2017 to test the influence of industrial intelligentization level on the industrial competitiveness of a region. The result reveals that: 1) In China’s provincial jurisdictions, the higher the level of intelligentization is, the lower the overall level of industrial competitiveness and the lower the proportion of industry in the economic system will be. In regions where the facilities are highly intelligentialized, the production sectors tend to move to the less developed regions, and the growth effect of technological dividends is the focus. 2) Compared with the middle region and the Western region of China, the Eastern region, which is more developed with higher intelligentization level, has stronger ability in the research and development (R&D) of technologies, and the economic structure of the industry there tends to be stable, manifesting a strong growth potential.

Ecological compensation (EC) is an important way to solve the imbalance of cross-regional economic development and realize regional coordinated development. How to quantify the standard of EC has become a hot research topic. Firstly, this paper selected the Three Gorges Reservoir Region (TGRR) as the study area, and constructed a cross-regional spillover ecological value measurement model based on the extended emergy analysis. From the perspective of the “ecology–economy–society” complex ecosystem, this paper used emergy to reflect the social, economic, and ecological function and service value of the TGRR, and estimated the ecosystem emergy supply and consumption in the TGRR. Then, comparing the watershed ecosystem emergy supply and consumption, we can judge the status of the ecological surplus and deficit of the TGRR, and transfer the spillover ecological emergy to spillover ecological value (SEV) by using the emergy currency ratio (ECR). Finally, combined with different actual payment level coefficient, we can obtain a relatively objective and robust compensation standard. The results show that the SEV of the TGRR in 2016 is 2.70 × 10¹¹ USD, which indicates that the TGRR is in the state of ecological surplus. The TGRR should get EC about 2.85 × 10¹¹ USD according to the ECR. Based on the research results, it is suggested to expand the transfer payment to the TGRR. At the same time, it is suggested to formulate different ecological compensation standard (ECS) according to regional differences, which has important practical significance to establish the allocation standard of EC, and provides a typical case basis for other large reservoir areas or typical reservoir areas.