Neuroeconomics: Why Economics Needs Brains

Neuroeconomics uses knowledge about brain mechanisms to inform economic theory. It opens up the “black box” of the brain, much as organizational economics opened up the theory of the firm. Neuroscientists use many tools—including brain imaging, behavior of patients with brain damage, animal behavior and recording single neuron activity. The key insight for economics is that the brain is composed of multiple systems which interact. Controlled systems (“executive function”) interrupt automatic ones. Brain evidence complicates standard assumptions about basic preference, to include homeostasis and other kinds of state‐dependence, and shows emotional activation in ambiguous choice and strategic interaction.     

论国企留住人才的有效措施

未来经济的竞争主要是科学技术与人才的竞争,而归根结底是人才的竞争。人才是当今以及未来时代竞争的焦点,如何吸引人才而避免人才的流失成为企业,尤其是国有企业所面临的最严峻的课题。根据国企人才流失的最主要原因和人才最看重的是个人发展空间和机会,从而为国企如何为人才提供个人发展空间和机会提出了一些对策和建议。     

Rural Population Growth, 1950–1990: The Roles of Human Capital, Industry Structure, and Government Policy

Human capital raises rural incomes, but this effect is swamped by higher returns to human capital in urban markets. This leads to "brain drain" from rural areas. Populations grow more rapidly in rural counties that have a diversified employment base. Farm population grows faster (or declines more slowly) in counties with relatively high farm income, and nonfarm populations grow faster in counties with relatively high nonfarm income. However, higher farm incomes lead to slower nonfarm population growth and vice versa. Rural county government services financed by local taxes or debt have neutral or negative effects on population growth.     

对我国上市银行非经常性损益披露的分析和建议

本文通过分析2001至2004年上市银行年报非经常性损益的披露状况,对照监管部门法规,发现存在披露不充分的现象,对非经常性损益的确认也有理解偏颇,由此造成很多重大的可疑事项未计入非经常性损益。本文认为这对银行利润的真实性产生一定的影响,故建议政策制定者制定更详细的法规来规范披露行为,并就一些特殊事项做出释疑。     

Using technology to improve the management of development impacts on biodiversity

The mitigation hierarchy (MH) is a prominent tool to help businesses achieve no net loss or net gain outcomes for biodiversity. Technological innovations offer benefits for business biodiversity management, yet the range and continued evolution of technologies creates a complex landscape that can be difficult to navigate. Using literature review, online surveys, and semi-structured interviews, we assess technologies that can improve application of the MH. We identify six categories (mobile survey, fixed survey, remote sensing, blockchain, data analysis, and enabling technologies) with high feasibility and/or relevance to (i) aid direct implementation of mitigation measures and (ii) enhance biodiversity surveys and monitoring, which feed into the design of interventions including avoidance and minimization measures. At the interface between development and biodiversity impacts, opportunities lie in businesses investing in technologies, capitalizing on synergies between technology groups, collaborating with conservation organizations to enhance institutional capacity, and developing practical solutions suited for widespread use.     

论产品的精神增益

产品艺术设计中尚古之风，是一种物化精神的倡导和文化情操的表达。它不仅仅只是用来满足日常生活的需要，而且早已成为文人心智凝成的物化的情、意、诗、画。正在兴起的“非物质文化”设计思潮则致力于满足人的全面发展的需求，努力在高技术环境下探寻一种新的和谐。     

Escape dynamics: A continuous-time approximation

We extend a continuous-time approximation approach to the analysis of escape dynamics in economic models with constant gain adaptive learning. This approach is based on the application of the results of continuous-time version of large deviations theory to the linear diffusion approximation of the original discrete-time dynamics under learning. We characterize escape dynamics by analytically deriving the most probable escape point and mean escape time. The approximation is tested on the Phelps problem of a government controlling inflation while adaptively learning a misspecified Phillips curve, studied previously by Sargent (1999) and Cho et al. (2002) (henceforth, CWS), among others. We compare our results with simulations extended to very low values of the constant gain and show that, for the lowest gains, our approach approximates simulations relatively well. We express reservations regarding the applicability of any approach based on large deviations theory to characterizing escape dynamics for economically plausible values of constant gain in the model of CWS when escapes are not rare. We show that for these values of the gain it is possible to derive first passage times for learning dynamics reduced to one dimension without resort to large deviations theory. This procedure delivers mean escape time results that fit the simulations closely. We explain inapplicability of large deviations theory by insufficient averaging near the point of self-confirming equilibrium for relatively large gains which makes escapes relatively frequent, suggest the changes which might help approaches based on the theory to work better in this gain interval, and describe a simple heuristic method for determining the range of constant gain values for which large deviations theory could be applicable.     

人工智能技术辅助开发“智铸”系统

采用开源免费的深度学习平台,利用python二次开发了“智铸”系统,包括“识铸”“听铸”“盯铸”三个模块,铸造企业员工可以用手机或电脑自主学习,提升员工从业能力。在设备旁安装“听铸”软硬件一体化设备,可以实现对连续运行设备的在线自动监听侦测。“盯铸”模块实现连续生产铸件的自动检测、铸造缺陷分析与重点安全区域的监控。     

Capital accumulation through studying abroad and return migration

This paper examines the interplays among studying abroad, return migration and capital accumulation, in a dynamic general equilibrium model featuring heterogeneous ability. Households invest in education and make two migration decisions: whether to study abroad and subsequently whether to return home. The model predicts that the highest, middle and lowest-ability people choose respectively permanent migration, return migration and no migration. More interestingly, we find a novel migration cycle: returnees bring back learned-knowledge and over time, capital accumulates, attracting more return migration. Further, the usual “brain drain” in the literature can be turned into “brain gain”, by providing a subsidy to studying abroad and returning home.