<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">WJET</journal-id><journal-title-group><journal-title>World Journal of Engineering and Technology</journal-title></journal-title-group><issn pub-type="epub">2331-4222</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/wjet.2017.52B005</article-id><article-id pub-id-type="publisher-id">WJET-77284</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject><subject> Engineering</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Impact of Poverty Alleviation Policy on Urban Household Demand
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wen</surname><given-names>Yu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Muhammad</surname><given-names>Yaseen</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yu</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shiwei</surname><given-names>Xu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jiajia</surname><given-names>Liu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Liwei</surname><given-names>Gao</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Peng</surname><given-names>Li</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>School of Accounting, Zhejiang Gongshang University, Hangzhou, China</addr-line></aff><aff id="aff1"><addr-line>Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China</addr-line></aff><aff id="aff2"><addr-line>University College of Agriculture, University of Sargodha, Sargodha, Pakistan</addr-line></aff><pub-date pub-type="epub"><day>11</day><month>05</month><year>2017</year></pub-date><volume>05</volume><issue>02</issue><fpage>40</fpage><lpage>46</lpage><history><date date-type="received"><day>April</day>	<month>28,</month>	<year>2017</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>June</month>	<year>26,</year>	</date><date date-type="accepted"><day>June</day>	<month>29,</month>	<year>2017</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   
   Many policies and measures for poverty alleviation have been undertaken by the Chinese government, but few researchers have explored its experience and lessons. This research focuses on household needs like food, clothing, housing, household equipment and supplies, transportation and communication, education and entertainment, healthcare; and also focuses on food items such as grains, meat, eggs, milk, vegetables, fruits and others in urban China. In poor households, the average disposable income per capita is less than or near per capita expenditure; and the Engels coefficient is often over 40%. The data from 1997-2012 in this research is in the provincial level from the Information Website of Development Research Center of the State Council (or “DRCnet”). The authors used the two stage ELES-AIDS (Almost Ideal Demand System) to estimate the price elasticity and expenditure elasticity of the household’s expenditures. According to the results, it is recommended that the government should follow economic law and improves policy efficiency, especially its food policy to alleviate the poverty of low income residents. 
  
 
</p></abstract><kwd-group><kwd>Poverty Alleviation</kwd><kwd> Urban Household</kwd><kwd> Two Stage ELES-AIDS</kwd><kwd> China</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>After economic reform since 1980s in China, more and more people choose to work and live in city, especially for rural, off-farm job providing opportunity for a great number of the surplus rural labor force; in the meantime, which maybe make poverty transfer from rural to urban.</p><p>Up till now, more authors focus on rural poverty, but pay less attention to the low-income group in urban. Thought many researchers focus on household consumption, they just focus on the food security, rarely considering about the policy implication [<xref ref-type="bibr" rid="scirp.77284-ref1">1</xref>].</p><p>This paper will use the two stage ELES-AIDS (Almost Ideal Demand System) to estimate the price elasticity and expenditure elasticity including food, clothing, housing, family equipment, communication and transformation, education, health care, and others etc. According to the results, it is recommended that the government should follow economic law and improve policy efficiency, especially its food policy to alleviate the poverty of low income residents.</p><p>The frame of the paper is arranged in the following: except for the introduction, the next part is Data and its expression, A Two-Stage ELES-AIDS Model, results, conclusions and policy implication.</p></sec><sec id="s2"><title>2. Data and Its Expression</title><p>All data in this research is from the Information Website of Development Research Center of the State Council (or “DRCnet”, http://www.drcnet.com.cn).</p><p>The urban household data is collected from 1997 to 2012 grouped by disposable income, including the lowest (among which, also separated half for the difficult group), the lower, the middle-lower, the middle, the middle-higher, the higher and the highest; their proportion of the group accounts for 10% (including 5% of difficult group), 10%, 20%, 20%, 20%, 10% and 10%, respectively. And these groups denotes Lowest, difficult, lower, mid-lower, middle, mid-higher, higher, highest in the table in the following.</p></sec><sec id="s3"><title>3. Two-Stage ELES-AIDS Model</title><p>Due to weakly separable utility over broad groups of goods, usually we allocate broad group of goods over total expenditure at first; then allocate group expenditure over individual commodities.</p><sec id="s3_1"><title>3.1. ELES Model</title><p>Define abbreviations and acronyms the first time they are used in the text, even after they have been defined in the abstract. Abbreviations such as IEEE, SI, MKS, CGS, sc, dc, and rms do not have to be defined. Do not use abbreviations in the title or heads unless they are unavoidable.</p><p>Due to weakly separable utility over broad groups of goods, usually we allocate broad group of goods over total expenditure at first; then allocate group expenditure over individual commodities. The extended linear expenditure system (ELES) is based on the basis of the linear expenditure system [<xref ref-type="bibr" rid="scirp.77284-ref2">2</xref>].</p><p>The ELES model expression is as follows:</p><disp-formula id="scirp.77284-formula6"><label>(1)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/77284x2.png"  xlink:type="simple"/></disp-formula><p>Here, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/77284x3.png" xlink:type="simple"/></inline-formula>is the annual expenditure of a household spending on goods or services of i-th; and Y is the income of household. According to the model, the <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/77284x4.png" xlink:type="simple"/></inline-formula> could be calculated, is the marginal propensity to consume (MPC).</p><p>In economics, the marginal propensity to consume (MPC) is the concept that the increase in personal consumer spending (consumption) occurs with an increase in disposable income. The proportion of disposable income which individuals spend on consumption is called as propensity to consume.</p><p>Mathematically, the definition of MPC function is expressed in the following: MPC = ΔC/ΔY, ΔC-the change in consumption; ΔY-the change in disposable income that produced the consumption. Usually, we use the OLS to estimate the MPC like b in function (1).</p></sec><sec id="s3_2"><title>3.2. AIDS Model</title><p>Deaton and Muellbauer [<xref ref-type="bibr" rid="scirp.77284-ref3">3</xref>] have developed the linear approximate almost ideal demand system (LA/AIDS), which was used to estimate price and income elasticities. The AIDS model only illustrates the axioms of choice, but does reflect preferences and other social and economic factors.</p><p>The AIDS demand function used in this study is in the following:</p><p>where the w<sub>i</sub> is the expenditure share of the ith food or food group, X is living expenditure and Zs are social and demographic variables (preference, household size, coefficient of family burden, income source, region, and so on.), x is the total expenditure, P<sub>j</sub> are prices of food group items, and lnP* is a Stone price index. α<sub>i</sub>, β<sub>i</sub>, γ<sub>ij</sub>, α is are parameters to be estimated.</p><p>Stone Price Index, that is:</p><disp-formula id="scirp.77284-formula7"><label>(2)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/77284x5.png"  xlink:type="simple"/></disp-formula><p>The model must meet the following restrictions:</p><disp-formula id="scirp.77284-formula8"><graphic  xlink:href="http://html.scirp.org/file/77284x6.png"  xlink:type="simple"/></disp-formula><p>In practice, the LA-AIDS model is used more frequently than the non-linear AIDS model [<xref ref-type="bibr" rid="scirp.77284-ref4">4</xref>]. The estimates from an LA-AIDS model would approach the estimates for AIDS except for an intercept term.</p><p>Expenditure elasticities and Marshallian (compensated) elasticities were com- puted from the estimated parameters of the LA-AIDS model using the close approximation of the exact formulas are given in Equations (3)?(4).</p><p>Expenditure elasticities:</p><disp-formula id="scirp.77284-formula9"><label>(3)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/77284x7.png"  xlink:type="simple"/></disp-formula><p>Marshallian (uncomensated) price elasticities:</p><disp-formula id="scirp.77284-formula10"><label>(4)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/77284x8.png"  xlink:type="simple"/></disp-formula><p>while i = j, δ = 1, or δ = 0.</p></sec></sec><sec id="s4"><title>4. Results</title><p>From the two stage functions, the results of marginal propensity to consume and estimation of demand elasticities show in the following:</p><sec id="s4_1"><title>4.1. Marginal Propensity to Consume</title><p>There are eight commodity groups for the stage of the demand system: food, clothing, housing, family equipment, transportation, education, health care, and other commodities.</p><p>From ELES model, the results for the first-stage commodity groups are presented in <xref ref-type="table" rid="table1">Table 1</xref>. All parameters are significant at the 1% level. Here we just focus on marginal propensity to consume, neglecting the expenditure elasticities and price elastic.</p><p>Food: In the urban household, averagely 22% of income is used for food consumption, but for difficult group, the proportion reaches 43%; while the highest income group the proportion is only 15%; from absolute value, the difficult group has less expenditure for food.</p><p>Clothing: about 10% of income is used for clothing, and in the lowest group, its proportion is 10%, the proportion for other groups ranges from 6% - 8%.</p><p>Housing: comparing with the average level, the difficult group spends 12% income for housing, as is the double times to average level; except the lowest group, its housing proportion is 10%, and the others range 5% to 7%.</p><p>Health: the average proportion of health care expenditure is 4%, but difficult group account for 9% from income share.</p><p>There is no more different in the consumption tendency of family equipment, transportation, education, and others between different income groups.</p><p>Generally, for the lowest group, especially difficult group, lower group have higher share in food, clothing, health and housing expenditure.</p></sec><sec id="s4_2"><title>4.2. Estimation of Demand Elasticities</title><p>The diagonal number in each group of <xref ref-type="table" rid="table2">Table 2</xref> indicates the own-price elasticities. The own-price elasticities are negative sign, as show that food demand structure is related to the market price; and the group for low income is more sensitive than other groups, for almost all own-price elasticities are higher than other two groups.</p><p>From the cross-price elasticities within the food group have positive signs, implying that major food items have substitute relationship; and the negative cross-price elasticities means the complement relationship.</p><p>The second stage consists of six commodities within the food group: grain, meat (pork, lamb, beef, chicken, etc.), egg, aquatic, milk and other food items.</p><p>Considering the sample number in the model, the samples are separated into 3 kinds: low group, middle group and high group.</p><p>The estimates of expenditure elasticities for commodities in the food group indicate that most of commodities are necessary goods. Grains have the lowest expenditure elasticities, but they are still in the normal good range. The expenditure elasticites for meat is the luxury good to low group, but aquatic, milk and others are luxury goods for all groups.</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> The Estimation of Elasticities from ELES model</title></caption><table-wrap id="1_1"><caption><title> (b)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Income group</th><th align="center" valign="middle"  colspan="2"  >Food</th><th align="center" valign="middle"  colspan="2"  >Clothing</th><th align="center" valign="middle"  colspan="2"  >housing</th></tr></thead><tr><td align="center" valign="middle" >a<sub>i</sub></td><td align="center" valign="middle" >b<sub>i</sub></td><td align="center" valign="middle" >a<sub>i</sub></td><td align="center" valign="middle" >b<sub>i</sub></td><td align="center" valign="middle" >a<sub>i</sub></td><td align="center" valign="middle" >b<sub>i</sub></td></tr><tr><td align="center" valign="middle" >average</td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >615.10</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >58.18</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >145.35</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(58.32)</td><td align="center" valign="middle" >(12.17)</td><td align="center" valign="middle" >(49.38)</td><td align="center" valign="middle" >(3.01)</td><td align="center" valign="middle" >(23.95)</td><td align="center" valign="middle" >(4.40)</td></tr><tr><td align="center" valign="middle" >lowest</td><td align="center" valign="middle" >0.37</td><td align="center" valign="middle" >313.90</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >−37.33</td><td align="center" valign="middle" >0.10</td><td align="center" valign="middle" >33.54</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(40.69)</td><td align="center" valign="middle" >(7.95)</td><td align="center" valign="middle" >(44.48)</td><td align="center" valign="middle" >(−4.19)</td><td align="center" valign="middle" >(27.66)</td><td align="center" valign="middle" >(2.11)</td></tr><tr><td align="center" valign="middle" >difficult</td><td align="center" valign="middle" >0.43</td><td align="center" valign="middle" >206.25</td><td align="center" valign="middle" >0.10</td><td align="center" valign="middle" >−52.88</td><td align="center" valign="middle" >0.12</td><td align="center" valign="middle" >17.44</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(42.84)</td><td align="center" valign="middle" >(5.89)</td><td align="center" valign="middle" >(48.60)</td><td align="center" valign="middle" >(−7.48)</td><td align="center" valign="middle" >(24.78)</td><td align="center" valign="middle" >(1.05)</td></tr><tr><td align="center" valign="middle" >lower</td><td align="center" valign="middle" >0.30</td><td align="center" valign="middle" >479.55</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >−7.52</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >97.89</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(41.31)</td><td align="center" valign="middle" >(10.08)</td><td align="center" valign="middle" >(50.01)</td><td align="center" valign="middle" >(−0.67)</td><td align="center" valign="middle" >(20.77)</td><td align="center" valign="middle" >(4.29)</td></tr><tr><td align="center" valign="middle" >midlower</td><td align="center" valign="middle" >0.27</td><td align="center" valign="middle" >529.98</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >11.66</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >101.20</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(52.93)</td><td align="center" valign="middle" >(11.66)</td><td align="center" valign="middle" >51.69</td><td align="center" valign="middle" >0.81</td><td align="center" valign="middle" >25.18</td><td align="center" valign="middle" >4.29</td></tr><tr><td align="center" valign="middle" >middle</td><td align="center" valign="middle" >0.25</td><td align="center" valign="middle" >561.49</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >71.51</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >133.86</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >60.43</td><td align="center" valign="middle" >11.50</td><td align="center" valign="middle" >50.33</td><td align="center" valign="middle" >3.91</td><td align="center" valign="middle" >20.45</td><td align="center" valign="middle" >3.80</td></tr><tr><td align="center" valign="middle" >midhigher</td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >656.72</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >118.63</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >152.72</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >65.67</td><td align="center" valign="middle" >12.26</td><td align="center" valign="middle" >55.10</td><td align="center" valign="middle" >5.76</td><td align="center" valign="middle" >23.63</td><td align="center" valign="middle" >3.95</td></tr><tr><td align="center" valign="middle" >higher</td><td align="center" valign="middle" >0.20</td><td align="center" valign="middle" >729.14</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >130.86</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >195.87</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >64.98</td><td align="center" valign="middle" >11.17</td><td align="center" valign="middle" >46.81</td><td align="center" valign="middle" >4.28</td><td align="center" valign="middle" >21.82</td><td align="center" valign="middle" >3.62</td></tr><tr><td align="center" valign="middle" >highest</td><td align="center" valign="middle" >0.15</td><td align="center" valign="middle" >1057.24</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >108.20</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >363.89</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >54.60</td><td align="center" valign="middle" >11.11</td><td align="center" valign="middle" >39.83</td><td align="center" valign="middle" >2.09</td><td align="center" valign="middle" >16.21</td><td align="center" valign="middle" >3.34</td></tr></tbody></table></table-wrap><table-wrap id="1_2"><caption><title></title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Income group</th><th align="center" valign="middle"  colspan="2"  >equipment</th><th align="center" valign="middle"  colspan="2"  >transportation</th><th align="center" valign="middle"  colspan="2"  >education</th><th align="center" valign="middle"  colspan="2"  >health</th></tr></thead><tr><td align="center" valign="middle" >a<sub>i</sub></td><td align="center" valign="middle" >b<sub>i</sub></td><td align="center" valign="middle" >a<sub>i</sub></td><td align="center" valign="middle" >b<sub>i</sub></td><td align="center" valign="middle" >a<sub>i</sub></td><td align="center" valign="middle" >b<sub>i</sub></td><td align="center" valign="middle" >a<sub>i</sub></td><td align="center" valign="middle" >b<sub>i</sub></td></tr><tr><td align="center" valign="middle" >average</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >103.72</td><td align="center" valign="middle" >0.11</td><td align="center" valign="middle" >−295.96</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >193.01</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >50.21</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(17.18)</td><td align="center" valign="middle" >(3.36)</td><td align="center" valign="middle" >(39.31)</td><td align="center" valign="middle" >(−7.63)</td><td align="center" valign="middle" >(20.74)</td><td align="center" valign="middle" >(3.92)</td><td align="center" valign="middle" >(17.37)</td><td align="center" valign="middle" >(1.48)</td></tr><tr><td align="center" valign="middle" >lowest</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >−40.47</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >−69.05</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >103.46</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >−38.93</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(23.96)</td><td align="center" valign="middle" >(−4.24)</td><td align="center" valign="middle" >(20.78)</td><td align="center" valign="middle" >(−3.93)</td><td align="center" valign="middle" >(13.92)</td><td align="center" valign="middle" >(4.52)</td><td align="center" valign="middle" >(21.42)</td><td align="center" valign="middle" >(−2.61)</td></tr><tr><td align="center" valign="middle" >difficult</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >−36.04</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >−69.58</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >88.61</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >−48.78</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(21.63)</td><td align="center" valign="middle" >(−4.15)</td><td align="center" valign="middle" >(18.35)</td><td align="center" valign="middle" >(−4.18)</td><td align="center" valign="middle" >(13.24)</td><td align="center" valign="middle" >(4.31)</td><td align="center" valign="middle" >(14.78)</td><td align="center" valign="middle" >(−2.41)</td></tr><tr><td align="center" valign="middle" >lower</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >−19.72</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >−80.37</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >140.85</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >−1.44</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >(24.28)</td><td align="center" valign="middle" >(−1.57)</td><td align="center" valign="middle" >(21.84)</td><td align="center" valign="middle" >(−3.17)</td><td align="center" valign="middle" >(16.22)</td><td align="center" valign="middle" >(5.03)</td><td align="center" valign="middle" >(16.93)</td><td align="center" valign="middle" >(−0.07)</td></tr><tr><td align="center" valign="middle" >midlower</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >9.17</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >−123.67</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >180.99</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >10.93</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >24.03</td><td align="center" valign="middle" >0.56</td><td align="center" valign="middle" >29.36</td><td align="center" valign="middle" >−4.53</td><td align="center" valign="middle" >17.09</td><td align="center" valign="middle" >5.03</td><td align="center" valign="middle" >19.74</td><td align="center" valign="middle" >0.47</td></tr><tr><td align="center" valign="middle" >middle</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >56.82</td><td align="center" valign="middle" >0.10</td><td align="center" valign="middle" >−222.66</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >215.63</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >18.09</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >22.49</td><td align="center" valign="middle" >2.51</td><td align="center" valign="middle" >34.82</td><td align="center" valign="middle" >−6.39</td><td align="center" valign="middle" >18.38</td><td align="center" valign="middle" >4.61</td><td align="center" valign="middle" >18.54</td><td align="center" valign="middle" >0.57</td></tr><tr><td align="center" valign="middle" >midhigher</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >119.39</td><td align="center" valign="middle" >0.11</td><td align="center" valign="middle" >−354.13</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >240.50</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >85.62</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >16.90</td><td align="center" valign="middle" >3.11</td><td align="center" valign="middle" >45.30</td><td align="center" valign="middle" >−8.90</td><td align="center" valign="middle" >21.36</td><td align="center" valign="middle" >4.20</td><td align="center" valign="middle" >13.74</td><td align="center" valign="middle" >1.71</td></tr><tr><td align="center" valign="middle" >higher</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >225.45</td><td align="center" valign="middle" >0.13</td><td align="center" valign="middle" >−583.06</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >220.93</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >114.15</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >15.03</td><td align="center" valign="middle" >4.03</td><td align="center" valign="middle" >44.84</td><td align="center" valign="middle" >−9.50</td><td align="center" valign="middle" >25.98</td><td align="center" valign="middle" >3.25</td><td align="center" valign="middle" >14.55</td><td align="center" valign="middle" >1.89</td></tr><tr><td align="center" valign="middle" >highest</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >547.80</td><td align="center" valign="middle" >0.14</td><td align="center" valign="middle" >−870.36</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >229.69</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >227.68</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >13.88</td><td align="center" valign="middle" >6.51</td><td align="center" valign="middle" >27.70</td><td align="center" valign="middle" >−4.84</td><td align="center" valign="middle" >26.89</td><td align="center" valign="middle" >2.08</td><td align="center" valign="middle" >13.84</td><td align="center" valign="middle" >2.90</td></tr></tbody></table></table-wrap></table-wrap-group><p>Source: the authors calculate through models.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Estimated price and expenditure elasticities within the food group</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="6"  >Price Elasticities</th><th align="center" valign="middle"  rowspan="2"  >Expenditure Elasticities</th></tr></thead><tr><td align="center" valign="middle" >group</td><td align="center" valign="middle" >item</td><td align="center" valign="middle" >grain</td><td align="center" valign="middle" >meat</td><td align="center" valign="middle" >egg</td><td align="center" valign="middle" >aquatic</td><td align="center" valign="middle" >milks</td><td align="center" valign="middle" >others</td></tr><tr><td align="center" valign="middle" >low</td><td align="center" valign="middle" >grain</td><td align="center" valign="middle" >−0.543</td><td align="center" valign="middle" >−0.218</td><td align="center" valign="middle" >0.046</td><td align="center" valign="middle" >−0.088</td><td align="center" valign="middle" >−0.145</td><td align="center" valign="middle" >−0.101</td><td align="center" valign="middle" >0.384</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >meat</td><td align="center" valign="middle" >−0.408</td><td align="center" valign="middle" >−0.996</td><td align="center" valign="middle" >−0.044</td><td align="center" valign="middle" >−0.061</td><td align="center" valign="middle" >0.098</td><td align="center" valign="middle" >0.014</td><td align="center" valign="middle" >1.457</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >egg</td><td align="center" valign="middle" >0.124</td><td align="center" valign="middle" >−0.069</td><td align="center" valign="middle" >−0.723</td><td align="center" valign="middle" >−0.116</td><td align="center" valign="middle" >0.029</td><td align="center" valign="middle" >−0.066</td><td align="center" valign="middle" >0.796</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >aquatic</td><td align="center" valign="middle" >−0.279</td><td align="center" valign="middle" >−0.068</td><td align="center" valign="middle" >−0.075</td><td align="center" valign="middle" >−0.620</td><td align="center" valign="middle" >−0.056</td><td align="center" valign="middle" >0.011</td><td align="center" valign="middle" >1.100</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >milks</td><td align="center" valign="middle" >−0.739</td><td align="center" valign="middle" >0.232</td><td align="center" valign="middle" >−0.012</td><td align="center" valign="middle" >−0.150</td><td align="center" valign="middle" >−1.362</td><td align="center" valign="middle" >0.345</td><td align="center" valign="middle" >2.014</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >others</td><td align="center" valign="middle" >−0.110</td><td align="center" valign="middle" >0.042</td><td align="center" valign="middle" >−0.013</td><td align="center" valign="middle" >0.003</td><td align="center" valign="middle" >0.042</td><td align="center" valign="middle" >−1.034</td><td align="center" valign="middle" >0.996</td></tr><tr><td align="center" valign="middle" >middle</td><td align="center" valign="middle" >grain</td><td align="center" valign="middle" >−0.473</td><td align="center" valign="middle" >0.042</td><td align="center" valign="middle" >0.012</td><td align="center" valign="middle" >−0.066</td><td align="center" valign="middle" >−0.100</td><td align="center" valign="middle" >−0.119</td><td align="center" valign="middle" >0.659</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >meat</td><td align="center" valign="middle" >0.043</td><td align="center" valign="middle" >−0.556</td><td align="center" valign="middle" >0.028</td><td align="center" valign="middle" >−0.054</td><td align="center" valign="middle" >−0.110</td><td align="center" valign="middle" >−0.115</td><td align="center" valign="middle" >0.728</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >egg</td><td align="center" valign="middle" >0.034</td><td align="center" valign="middle" >0.078</td><td align="center" valign="middle" >−0.614</td><td align="center" valign="middle" >−0.112</td><td align="center" valign="middle" >−0.061</td><td align="center" valign="middle" >−0.107</td><td align="center" valign="middle" >0.750</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >aquatic</td><td align="center" valign="middle" >−0.125</td><td align="center" valign="middle" >−0.087</td><td align="center" valign="middle" >−0.053</td><td align="center" valign="middle" >−0.770</td><td align="center" valign="middle" >−0.040</td><td align="center" valign="middle" >0.017</td><td align="center" valign="middle" >1.067</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >milks</td><td align="center" valign="middle" >−0.296</td><td align="center" valign="middle" >−0.266</td><td align="center" valign="middle" >−0.060</td><td align="center" valign="middle" >−0.097</td><td align="center" valign="middle" >−0.868</td><td align="center" valign="middle" >0.147</td><td align="center" valign="middle" >1.507</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >others</td><td align="center" valign="middle" >−0.054</td><td align="center" valign="middle" >−0.040</td><td align="center" valign="middle" >−0.013</td><td align="center" valign="middle" >0.004</td><td align="center" valign="middle" >0.030</td><td align="center" valign="middle" >−1.082</td><td align="center" valign="middle" >1.059</td></tr><tr><td align="center" valign="middle" >high</td><td align="center" valign="middle" >grain</td><td align="center" valign="middle" >−0.283</td><td align="center" valign="middle" >−0.103</td><td align="center" valign="middle" >0.004</td><td align="center" valign="middle" >0.033</td><td align="center" valign="middle" >0.011</td><td align="center" valign="middle" >0.172</td><td align="center" valign="middle" >0.040</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >meat</td><td align="center" valign="middle" >−0.153</td><td align="center" valign="middle" >−0.623</td><td align="center" valign="middle" >0.017</td><td align="center" valign="middle" >−0.065</td><td align="center" valign="middle" >0.130</td><td align="center" valign="middle" >0.332</td><td align="center" valign="middle" >0.268</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >egg</td><td align="center" valign="middle" >−0.025</td><td align="center" valign="middle" >0.037</td><td align="center" valign="middle" >−0.691</td><td align="center" valign="middle" >0.086</td><td align="center" valign="middle" >−0.214</td><td align="center" valign="middle" >0.316</td><td align="center" valign="middle" >0.415</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >aquatic</td><td align="center" valign="middle" >−0.076</td><td align="center" valign="middle" >−0.174</td><td align="center" valign="middle" >0.015</td><td align="center" valign="middle" >−0.739</td><td align="center" valign="middle" >−0.217</td><td align="center" valign="middle" >−0.029</td><td align="center" valign="middle" >1.252</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >milks</td><td align="center" valign="middle" >−0.139</td><td align="center" valign="middle" >0.182</td><td align="center" valign="middle" >−0.205</td><td align="center" valign="middle" >−0.392</td><td align="center" valign="middle" >−1.065</td><td align="center" valign="middle" >0.075</td><td align="center" valign="middle" >1.624</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >others</td><td align="center" valign="middle" >−0.074</td><td align="center" valign="middle" >−0.014</td><td align="center" valign="middle" >−0.001</td><td align="center" valign="middle" >0.010</td><td align="center" valign="middle" >0.027</td><td align="center" valign="middle" >−1.063</td><td align="center" valign="middle" >1.268</td></tr></tbody></table></table-wrap><p>Source: the authors calculate through models.</p></sec></sec><sec id="s5"><title>5. Conclusions and Policy Implication</title><p>From the MPC results, local government should pay more attention to food, clothing, and health care and housing for lowest group, because these expenditures take more money from their limited disposable income.</p><p>From expenditure elasticities, aquatic and milk at more than 1, urban demand for aquatic and milk will increase, and meat will also rise, because the low groups (accounting for 20% in total group) have strong demand if they have higher income. So a better policy for poor residents is to increase their chance to earn money, so as to raise their payment power.</p></sec><sec id="s6"><title>Acknowledgements</title><p>This paper was supported by the CAAS Science and Technology Innovation Project (number: CAAS-ASTIP-2016-AII), funded by Chinese Academy of Agricultural Sciences; by NSFC (Number: 71233007) and by MOST (Number: 2016YFE0113100).</p></sec><sec id="s7"><title>Cite this paper</title><p>Yu, W., Yaseen, M., Wang, Y., Xu, S.W., Liu, J.J., Gao, L.W. and Li,<sup> </sup>P. (2017) The Impact of Poverty Alleviation Policy on Urban Household Demand. World Journal of Engineering and Technology, 5, 40-46. https://doi.org/10.4236/wjet.2017.52B005</p></sec></body><back><ref-list><title>References</title><ref id="scirp.77284-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Li, Z.Q., Wang, D.J., Yu, W., Wu, J.Z. and Zhang, Y.M. 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