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Does Proximity to Foreign Invested Firms Stimulate Productivity Growth of Domestic Firms? Firm-level Evidence from Vietnam. (2016). Nguyen, Huong ; Kyburz, Stephan ; Rais, Daniel .
In: Papers.
RePEc:wti:papers:1001.

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  1. Too close for comfort? Microgeography of agglomeration economies in the United Kingdom. (2021). Castellani, Davide ; Lavoratori, Katiuscia.
    In: Journal of Regional Science.
    RePEc:bla:jregsc:v:61:y:2021:i:5:p:1002-1028.

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  3. Identifying the impact of geographical proximity on spillover effect of FDI: The evidence from Indian local firms’ performance gains. (2020). Son, Sung Hyun ; Song, Young Chul .
    In: The North American Journal of Economics and Finance.
    RePEc:eee:ecofin:v:52:y:2020:i:c:s1062940818304832.

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  35. Σit(vait − b βllit − β∗ kkit − E[ d ωit|ωi,t−1])2 (A.13) This gives the consistent estimate of βk since E[(εit + ξit)|kit] = 0 because kit was chosen at time t − 1 by the accumulation of ki,t−1 and ii,t (Levinsohn and Petrin, 2003).
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  58. Rewriting equation (A.5) in lower case, we have: vait = β0 + βkkit + βllit + ωit + εit (A.6) The assumptions implied in equation (A.6) follow Levinsohn and Petrin (2003) and Petrin, Poi and Levinsohn (2004), such that: (i) The choice of intermediate input mit response to kit and ωit: mit =m(kit,ωit) When firm gains higher productivity than the threshold and stays in the market, it expands the demand for intermediate input, so mit > 0, which allows for mit(kit,ωit) to be inverted. Therefore: ωit =ω(kit,mit). (ii) Labour is not a state variable which means it is demanded when the productivity is realised. In this case, we choose number of employees as labor input, not wage rate or working hours as we do not have results on the later. 34 (iii) The first-order Markov process is applied to productivity shock: ωit = E[ωi,t|ωi,t−1] + ξi,t (A.7) where ξi,t is the innovation to productivity.
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  61. The Value added production function is popularly utilised in literature, for instant, see Petrin and Levinsohn (2012), De Loecker and Warzynski (2012), and Newman et al. (2015).Petrin, Poi and Levinsohn (2004) introduce two cases that can apply Levinsohn and Petrin (2003) method: production function using value added and production function using gross output. We also check the collinearity of labour with material and capital stock bv using the STATA userwritten command collin. The results of the variance inflation factor (V IF = 1 − R2 ) which is less than 3 in our case does not indicate the possibility of multicollinearity). (iv) Firms are assumed to face the same input and output prices. Hence, in our paper, we estimate TFP by each industry, and assume that within the same industry this assumption holds.
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  40. Foreign firm characteristics, absorptive capacity and the institutional framework : the role of mediating factors for FDI spillovers in low- and middle-income countries. (2012). Winkler, Deborah ; Farole, Thomas.
    In: Policy Research Working Paper Series.
    RePEc:wbk:wbrwps:6265.

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  41. SEZ Proliferation in India: Are the Objectives Being Realized?. (2012). Bhatt, Antra ; APPOLLONI, Andrea ; Puri, Manas.
    In: Transition Studies Review.
    RePEc:spr:trstrv:v:19:y:2012:i:1:p:79-88.

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  42. How do Chinese industries benefit from FDI spillovers?. (2012). Yashiro, Naomitsu ; Wakasugi, Ryuhei ; Ito, Banri ; Xu, Zhaoyuan ; Chen, Xiaohong.
    In: China Economic Review.
    RePEc:eee:chieco:v:23:y:2012:i:2:p:342-356.

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  43. How to Stir Up FDI Spillovers: Evidence from a Large Meta-Analysis. (2011). Irsova, Zuzana ; Havranek, Tomas.
    In: William Davidson Institute Working Papers Series.
    RePEc:wdi:papers:2011-1021.

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  44. SEZ proliferation in India: are the objectives being realized?. (2011). Bhatt, Antra ; APPOLLONI, Andrea ; Puri, Manas .
    In: MPRA Paper.
    RePEc:pra:mprapa:35095.

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  45. How to Stir Up FDI Spillovers: Evidence from a Large Meta-Analysis. (2011). Irsova, Zuzana ; Havranek, Tomas ; Irova, Zuzana .
    In: Working Papers IES.
    RePEc:fau:wpaper:wp2011_34.

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  46. Determinants of Horizontal Spillovers from FDI: Evidence from a Large Meta-Analysis. (2011). Irsova, Zuzana ; Havranek, Tomas.
    In: Working Papers.
    RePEc:cnb:wpaper:2011/07.

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  47. Financial Constraints in China: the conditioning effect of FDI and State-Owned corporate sector. (2010). Vandenbussche, Hylke ; Steingress, Walter ; poncet, sandra.
    In: Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers).
    RePEc:hal:cesptp:hal-00633806.

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  48. Investment and financing constraints in China: does working capital management make a difference?. (2010). Knight, John ; Guariglia, Alessandra ; Ding, Sai.
    In: SIRE Discussion Papers.
    RePEc:edn:sirdps:241.

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  49. Investment and financing constraints in China: does working capital management make a difference?. (2010). Knight, John ; Guariglia, Alessandra ; Ding, Sai.
    In: Working Papers.
    RePEc:dur:durham:2010_03.

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  50. Investment and financing constraints in China: does working capital management make a difference?. (). Knight, John ; Guariglia, Alessandra ; Ding, Sai.
    In: Discussion Papers.
    RePEc:not:notgep:11/06.

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