Table 2 - uploaded by Alfons Weersink
Content may be subject to copyright.
Source publication
Although differences in environmental stringency have been given as a reason for the growth of the livestock sectors, particularly hogs, in non-traditional production regions, there is little empirical evidence to support the existence of pollution havens. This paper uses the number of large farm as the dependent variable instead of state-level inv...
Context in source publication
Similar publications
By examining the data on 13,663 newly established FDI firms and the environmental regulation reforms between 2000 and 2010, this paper studies whether foreign investors in China exhibit pollution haven behavior. Our analyses indicate that fewer FDI firms locate in provinces with more stringent environmental regulations (i.e., with higher pollution...
Citations
... Many of these studies placed particular emphasis on measuring the impact of environmental regulations Carpentier, 2004 and2005;Herath and Weersink, 2004;Isik, 2004;Roe, Irwin, and Sharp, 2002;Osei and Lakshminarayan, 1996) while others have focused on land values (Adelaja, Miller and Taslim, 1998), policy factors (Rahelizatovo and Gillespie, 1999), and promotional recruiting efforts (Eberle, et al., 2004) in addition to many of the traditional economic and natural resource factors incumbent in the livestock operation location decision. Additionally, there have been several studies that have incorporated variables to test for the presence of spatial agglomeration in specific sectors of the industry (Peterson, 2002;Roe, Irwin, and Sharp, 2002;Herath, Weersink, and Carpentier, 2004;Isik, 2004). ...
... Measuring the number of new large farms for hogs, beef cattle, and dairy at the state level, Herath and Weersink (2004) examined the effects of environmental regulations; climate; business environment; market access; relative prices for feed, outputs, land, labor, and property tax; and agglomeration economies proxied by the percentage of State Gross Product derived from agriculture and percentage of rural population on the growth of large confined animal feeding operations. For the dairy industry, they examined 29 states looking for increases in dairy farms with more than 200 cows between 1993 and 2000. ...
The geographic distribution and structure of the U.S. dairy industry have changed considerably during the last 30 years with larger herds representing an increasing proportion of the nation’s overall dairy cow inventory and producing a greater share of the milk. Geographically, the migration of dairies from traditional production regions to states formerly unfamiliar with dairy production has transpired with the greatest increases in Federal Milk Marketing Order marketings occurring in California, Oregon, Washington, Idaho, Arizona, New Mexico, West Texas and Southwest Kansas since the 1980’s. This study seeks to define the factors influencing the dairy location decision applying spatial econometric techniques. To examine the effects of county-specific demographic, environmental, and market factors as well as to test for the influence of spatial agglomeration economies on the geographic distribution of the U.S. dairy industry, a spatially explicit, county-level model of the dairy production sector was developed. Quantities of milk marketed through the Federal Milk Marketing Order during the month of May for counties in 45 states during 1997 and 2002 were specified as a function of natural endowments, business climate, production resource availability, milk price, and market access. The model was estimated according to spatial autoregressive (spatially lagged dependent variable) and spatial Durbin (lagged dependent and independent variables) specifications accounting for the censored nature of the dependent variable and heteroskedastic errors. Based on RMSE, the spatial error model was selected to make out of sample predictions for 2004. The change in milk marketings between 1997 and 2002 was regressed on the 1997 independent variables using non-Tobit versions of the same models with limited success. Results indicated a small but statistically significant presence of spatial agglomeration effects in the dairy industry in both 1997 and 2002 and revealed changes in the degrees of influence of several variables between the two periods examined. Population and the wages of agricultural workers became significant in 2002, while the elasticities of feed availability diminished, consistent with an increase in western-style dairy production. Interestingly, the spatial parameter decreased from 0.052 in 1997 to 0.028 in 2002 suggesting spatial agglomeration economies had a diminishing role in determining the amount of milk marketed in a county. Master of Science Masters Department of Agricultural Economics Hikaru H. Peterson
China has a vast territory and abundant resources, and there are significant differences in the development of pig breeding in different regions. Chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) produced in the process of pig breeding will affect China’s environmental quality. In view of this, based on the Minimum Distance to Weak efficient frontier model, this paper constructs Metafrontier-Malmquist-Luenberger (MML) index considering negative output under the common frontier to comprehensively evaluate the green total factor productivity of Chinese pig breeding (GTCP). This has guiding significance for improving China’s pork production and reducing pollution emissions. The results manifest that (1) no matter under the common frontier or the group frontier, GTCP presents large temporal and spatial differentiation characteristics. Compared with the central region and the western region, the eastern region has obvious advantages in GTCP. (2) GTCP has shown an upward trend as a whole, which is mainly due to the technical progress. (3) Compared with small-scale and medium-sized GTCP, large-scale GTCP has apparent superiorities. Based on the above outcomes, this paper finally raises policy recommendations for improving GTCP: (1) give full play to the advantages of pig breeding in different regions, (2) increase the research and introduction of pig breeding clean technology and improve the application efficiency, and (3) give full play to the scale effect and vigorously develop large-scale pig breeding.
