This study examines the socio-political landscape of the ancient city of Amastris (modern Amasra) through the lens of its road infrastructure, with a particular focus on the construction and significance of Aquila’s roads. Situated in the challenging terrain of northern Anatolia’s Küre Mountains, Amastris served as a vital maritime hub, linking diverse inland and coastal communities within Paphlagonia. Employing a multidisciplinary approach that integrates ancient literary analysis, archaeological evidence, and geospatial modeling, this paper reconstructs the network of primary and secondary Roman roads emanating from Amastris. The research highlights the dual role of these roads in fostering territorial coherence and enhancing regional connectivity, supporting both local autonomy and imperial governance. Key findings demonstrate that Aquila’s roads were not merely infrastructural projects but strategic undertakings that blended private investment with public utility. These projects reflect the intricate interplay between individual agency and state interests in Roman provincial administration. Furthermore, the study explores the broader cultural and economic impacts of road construction on Amastris, illustrating how connectivity shaped civic identity, social integration, and territorial integrity. The paper concludes that Aquila’s road-building initiatives were instrumental in sustaining Amastris’s strategic significance and functionality within the Roman Empire. By examining the dynamic relationship between local and imperial priorities, this study offers insights into how infrastructure functioned as a nexus of governance, economic development, and regional integration in ancient Anatolia.
This paper addresses the methodological challenges of comparing the iron industries in the Qin-Han and Roman empires by creating "modeling domains" as a pragmatic and utilitarian approach. These domains, built from literary and archaeological evidence, represent generalized rules and frameworks, paired with diachronic, fragmented landscapes that depict the progressive acquisition and integration of lands with established metallurgical traditions. The paper argues that simply reaching this step is not enough, as each domain should be understood as part of a larger aggregative set, with an "external" dimension. The paper further discusses the distancing effect and the need for caution in cross-domain discussions, emphasizing the importance of historical and social specificity. The Roman-Parthian and Han-Nanyue examples are used to illustrate these challenges and opportunities. The paper concludes that the comparative approach should be ever-expanding, leading to a continual dialogue between domains and a deeper understanding of the dynamics of control, trade, and technological exchange in different historical and social contexts.
We investigate how exposure to the One-Child Policy (OCP) during early adulthood affects marriage and fertility in China. Exploring fertility penalties across provinces over time and the different implementations by ethnicity, we show that the OCP significantly increases the unmarried rate among the Han ethnicity but not among the minorities. The OCP increases Han-minority marriages in regions where Han-minority couples are allowed for an additional child, but the impact is smaller in other regions. Finally, the deadweight loss caused by lower fertility accounts for 10 percent of annual household incomes, and policy-induced fewer marriages contribute to 30 percent of the fertility decline.
Order type plays an important role in algorithmic trading and is a key factor of price impact. In this paper, we propose a new framework for studying the discrete price change process, which focuses on the impacts of aggressive orders (market orders and aggressive limit orders) and cancellations. The price change process is driven by states and events of best quotes, and we define the event-based price change as the "natural price change" (NPC). Under the framework, we propose a heteroscedastic linear econometric model for the NPC to explore the impact of different types of orders on the price dynamics. To verify the usability of our model and explore the driving factors of price dynamics, we conduct a thorough empirical analysis for 786 large-tick stocks traded on the Shenzhen Stock Exchange. Empirical results statistically demonstrate that aggressive orders can introduce stronger impact on the NPC than cancellations. Meanwhile, splitting a big order into several small orders can lead to a larger NPC. Our framework can also be applied for the prediction of price change.