Assessment of Industrial Land Use Intensity: A Case Study of Beijing Economic-technological Development Area

In recent years, great economic output of land has been achieved in economic-technological development areas in China, but the intensity of land use in some of these areas is very low. The degree of the low intensity of land use needs to be evaluated. The current method of comprehensive evaluation and grading by one index system has the limitations due to the existence of differences between regions and industries. This paper evaluates industrial land use intensity by Total Factor Productivity (TFP) analysis, which not only measures the intensity but also illustrates the ef-ficiency of input factors. This method is applied to the Beijing Economic-technological Development Area (BDA). A comparison analysis on factor use efficiency and input structure of capital and labor between industries is also carried out in the absence of a labor-income ratio.

The Problems of Industrial Land Use in Chinese Cities and Counter—Measures

The concentration of Industries In cities is a commonphenomenon In the course of urhanlzatlon.The reason isIballhe concenlralbn orsndustrles wsuob重alnlhe‘乞concen-traied conomlc returns.” The concentration ofindustriesincities has occupied more land for indutrial use ifthe industri-al land use makes up a very low proportion in the total landuse In cities,the concentrated e门Dciency can not be broughtinto play.Ifthe Proportion is too big,land for other func-nons will be squeezed out,thus affecting the full play of theoverall functions of＊theons urban land.The unreasonable indus-trial land used now exists in Chinese cities.

;orecasting industrial emissions： a monetary approach vs. a physical approach

Forecasts of industrial emissions provide a basis for impact assessment and development planning. To date, most studies have assumed that industrial emissions are simply coupled to production value at a given stage of technical progress. It has been argued that the monetary method tends to overestimate pollution loads because it is highly influenced by market prices and fails to address spatial development schemes. This article develops a land use-based environmental performance index （L-EPI） that treats the industrial land areas as a dependent variable for pollution emissions. The basic assumption of the method is that at a planning level, industrial land use change can represent the change in industrial structure and production yield. This physical metric provides a connection between the state-of-the-art and potential impacts of future devel- opment and thus avoids the intrinsic pitfalls of the industrial Gross Domestic Product-based approach. Both methods were applied to examine future industrial emissions at the planning area of Dalian Municipality, North-west China, under a development scheme provided by the urban master plan. The results suggested that the L- EPI method is highly reliable and applicable for the estimation and explanation of the spatial variation associated with industrial emissions.