The task has been to write three papers for peer-review and publication in academic journals. So far one paper (on the politics behind some aspects of Peel`s ministry of 1841) is in its final draft stage. The other two are:
agricultural rents in the southwest of England in 1836; and changes in agriculture in nine counties as a result of changes in transport of agricultural commodities by the `new`railway systems.
For the rents paper, Malcolm is getting data from the 1836 Tithe Commission into a format for statistical analysis. So far we have three counties done: Devon, Wiltshire and Gloucestershire. There are two more to go: Dorset and Herefordshire. I have noticed that the relationship between arable rent and wheat yield is very strong, as one would expect. More interesting is the relationship between arable rent and distance to market town. According to von Thunen`s theories of location, the greater the distance, the lower the rent. This holds for Devon, which is far to the west. It doesn`t hold so well for counties more to the east, or closer to larger cities such as London. The distance to market seems to become less important as we approach large centres of population. This implies more integration into the national economy.
To test this hypothesis, Malcolm is creating buffers around six market towns in a line (roughly) from west to east. In each buffer we will have fifty data points (or parishes). If the hypothesis holds, then the significance of distance to market will decrease as we move to the east.
Mi is building up a large dataset of crops and prices for nine counties in England for a period of approximately twenty years. The counties are: Bedford; Berkshire; Buckinghamshire; Cambridgeshire; Cheshire; Cornwall; Cumberland; Derby; and Essex. Soon, Malcolm will begin to build a database of construction of railways in those counties. We will prepare an animation which shows how the amount of each crop produced in each county changed over time as the railway altered the costs of bringing goods to market. This will give us some insights as to how we might make a formal statistical test of the relationship between crop production and transportation,