英文标题：
《Optimal Population in a Finite Horizon》
---
作者：
Satoshi Nakano, Kazuhiko Nishimura
---
最新提交年份：
2018
---
英文摘要：
  A favorable population schedule for the entire potential human family is sought, under the overlapping generations framework, by treating population (or fertility) as a planning variable in a dynamical social welfare maximization context. The utilitarian and maximin social welfare functions are examined, with zero future discounting, while infinity in the maximand is circumvented by introducing the depletion of energy resources and its postponement through technological innovations. The model is formulated as a free-horizon dynamical planning problem, solved via a non-linear optimizer. Under exploratory scenarios, we visualize the potential trade-offs between the two welfare criteria.
---
中文摘要：
在世代重叠的框架下，通过将人口（或生育率）作为动态社会福利最大化背景下的规划变量，寻求整个潜在人类家庭的有利人口计划。在未来零折扣的情况下，考察了功利主义和最大化社会福利函数，而通过引入能源消耗和通过技术创新推迟能源消耗，规避了最大化社会福利函数的无限性。该模型被描述为一个自由水平动态规划问题，通过非线性优化器求解。在探索性情景下，我们将两个福利标准之间的潜在权衡可视化。
---
分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
--

---
PDF下载：
-->