0180 F-Statistic 137. 8957 AR(2) -0. 338622 -1. 628925.
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925596 Table 2 Herdsmen consumption level modeling regression results Coefficient t-Statistic Prob. Equations of statistical indicators Value C.
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987972 LOG(HFV) -0. 030563 -0. 990037.
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0192 F-Statistic 410. 6797 AR(2) -0. 242388 -1. 537668.
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095410 Regression model to establish two measurement are shown in Table 1, Table 2. Check the DW distribution table DL = 1. 038, DU = 1. 767, 4 - DU = 2. 233, 4 - DL = 2. 962. Two models of DW statistic is between DU and 4-DU, and therefore are not related to the two model. Can be seen from table 1 highway freight volume of urban residents consumption level has a positive influence, highway freight volume (ten thousand tons), every 1% increase of urban residents consumption (yuan) increased by 0. 07%. Can be seen from table 2 highway freight volume change on the influence of the farmers and herdsmen consumption level is not obvious. This is because Tibet is sparsely populated, low levels of agricultural and pastoral areas inhabited by residents, farmers and herdsmen be completed within a small range of commodity exchange, less dependence on logistics. Contrast table 1 and table 2 shows that urban residents income increased by 1%, the consumption growth of 0. 699%, the farmers and herdsmen income increased by 1% the consumption growth 0. 827%. Based on absolute income hypothesis Keynes's diminishing marginal propensity to consume, theory, income of urban residents for a greater proportion of savings and income of farmers and herdsmen due to the relatively low level, so there is a greater proportion of income used for consumption. Model two: . (5) Using data from 1999 to 2011 measured on road freight modeling, Explain variables have number of motorists (MOTR), Road operator truck tonnage(ROTT) and Highway mileage (HM), Represent the labor resources, capital and the influence of highway transportation public products. Table 3 The influencing factors of highway freight traffic analysis results Coefficient t-Statistic Prob. Equations of statistical indicators Value C.
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17923 LOG(ROTT) -0. 040166 -0. 053707.
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604639 According to Table 3, the model can be rewritten to expand in the form of Cobb-Douglas production function: . (6) Among: A is a constant reflection of road transport capacity; L is labor resources, namely in the model number of motorists (MOTR); K is the capital, in the model of the road operator Truck Tonnage (ROTT); T is the impact of road transport capacity of public goods, that is the model of highways; α, β, and γ are elastic labor resources, the elasticity of capital, the elasticity of publics products, represents a significant degree of influence of these four factors. As shown in Table 3, for each 1% increase in the number of pilots is Tibet road freight increased by 0. 578%, while freight tonnage and highway mileage of the car is little effect on freight. That at present the main factor of restricting Tibet highway transportation capacity is the driver number namely labor supply. Tibet's rural income and consumption as compared with urban residents, there is still overall weak purchasing power, low consumption, consumption structure of a single, poor consumer environment characteristics. Overall, at this stage of Tibet rural consumer market is still in the early stages of market development. This is affected by the geographical conditions, natural resources, poor infrastructure and other factors, thus causing the area around the uneven development of agriculture and rural economy, aspects of different income groups, consumer ability to pay in different regions of rural residents, the propensity to consume, consumer and environmental there are some differences. Agricultural and pastoral areas, agricultural development is slow, narrow channels of farmer income, farmers' income growth slow. Especially in remote pastoral areas, consumer ability to pay local farmers and herdsmen weak, hovering at a low level of long-term total consumption. Because Tibet area special geographical environment and humane environment, statistics collection exceptionally difficult, the lack of relevant statistics, caused some difficulties to the establishment of the model in this paper. The countermeasures and Suggestions (a) The Government should actively guide the development of agricultural and pastoral areas of the market system, and guide farmers and herdsmen form positive consumer attitudes. Improved farming and pastoral products market and infrastructure construction, increasing pastoral commercial outlets, improve service quality. Improve the consumption environment of farmers and herdsmen, strengthen the consciousness of social credit and market supervision, put an end to fake and inferior products from the source of transportation into the pastoral areas, protect the consumer rights and interests of farmers and herdsmen. (b) improve freight practitioners treatment. To subsidies B1 and B1 above the driver's driving school students, arouse the study enthusiasm of freight vehicle drivers, increase the number of employees to meet freight demand; Due to the special geographical environment and natural conditions of Tibet, engaged in road freight transport has certain risk, should be three insurances of freight driver. And should be starting from the actual situation around, explore the freight can effectively protect the driver safety method in the process of work, for the pilot to provide adequate security. (c) the highway construction to avoid repetition and waste. In the existing road network coverage area may be appropriate to reduce the new road construction, road network should be to not extend coverage of agricultural and pastoral areas, To make economic development achievements more benefit the broad masses of farmers and herdsmen, improve the level of consumption of Tibetan residents as a whole. Rational planning of road construction projects in Tibet, the Tibetan capital of limited resources wisely, and satisfy the jneeds of the broad masses of the Tibetan people for freight.
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