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   RePEc:eee:jbrese:v:184:y:2024:i:c:s0148296324003825.

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2. Can policies aimed at reducing carbon dioxide emissions help mitigate haze pollution? An empirical analysis of the emissions trading system. (2022). Liao, Xianchun ; Liang, Wei ; Gan, Ting ; Yang, Huachao.
   In: Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development.
   RePEc:spr:endesu:v:24:y:2022:i:2:d:10.1007_s10668-021-01515-9.

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3. Public funds in high-tech industries: A blessing or a curse. (2022). Zhu, Shengjun ; Yang, Bofei.
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   RePEc:eee:soceps:v:83:y:2022:i:c:s003801212100029x.

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4. Stochastic hybrid decision‐making based on interval type 2 fuzzy sets for measuring the innovation capacities of financial institutions. (2021). Yuksel, Serhat ; Jun, QI ; Diner, Hasan.
   In: International Journal of Finance & Economics.
   RePEc:wly:ijfiec:v:26:y:2021:i:1:p:573-593.

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5. Sustainable Innovation Governance: An Analysis of Regional Innovation with a Super Efficiency Slack-Based Measure Model. (2020). Chen, Qiang ; Loh, Lawrence ; Xu, Kai.
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   RePEc:gam:jsusta:v:12:y:2020:i:7:p:3008-:d:343261.

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6. Can environmental investments benefit environmental performance? The moderating roles of institutional environment and foreign direct investment. (2020). Li, Ruiqian ; Ramanathan, Ramakrishnan.
   In: Business Strategy and the Environment.
   RePEc:bla:bstrat:v:29:y:2020:i:8:p:3385-3398.

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7. Innovation expenditures efficiency in Central and Eastern European Countries. (2018). Dobrzanski, Pawel.
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1. Mechanism analysis of the influence of intelligent manufacturing on carbon emission intensity: evidence from cross country and industry. (2024). Geng, Wei ; Liu, Xiaoqian ; Liao, Xianchun.
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2. On Spatio-Temporal Stochastic Frontier Models. (2024). Nardelli, Vincenzo ; Vidoli, Francesco ; Arbia, Giuseppe ; Fusco, Elisa.
   In: Econometrics Working Papers Archive.
   RePEc:fir:econom:wp2024_09.

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3. On Spatio-Temporal Stochastic Frontier Models. (2024). Nardelli, Vincenzo ; Vidoli, Francesco ; Arbia, Giuseppe ; Fusco, Elisa.
   In: Papers.
   RePEc:arx:papers:2410.20915.

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4. Semiparametric estimation of a spatial autoregressive nonparametric stochastic frontier model. (2023). Tran, Kien ; Tsionas, Mike G.
   In: Journal of Spatial Econometrics.
   RePEc:spr:jospat:v:4:y:2023:i:1:d:10.1007_s43071-023-00036-z.

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5. The nonlinear influence of innovation efficiency on carbon and haze co-control: the threshold effect of environmental decentralization. (2023). Li, Mengna ; Pan, Xiongfeng ; Yuan, Sai.
   In: Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development.
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6. Spatial dependence in production frontier models. (2023). Ayouba, Kassoum.
   In: Journal of Productivity Analysis.
   RePEc:kap:jproda:v:60:y:2023:i:1:d:10.1007_s11123-023-00670-7.

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7. The GMM estimation of semiparametric spatial stochastic frontier models. (2023). Zhao, Shunan ; Kumbhakar, Subal ; Hou, Zhezhi.
   In: European Journal of Operational Research.
   RePEc:eee:ejores:v:305:y:2023:i:3:p:1450-1464.

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8. Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models. (2023). Tran, Kien ; Tsionas, Mike G ; Prokhorov, Artem B.
   In: European Journal of Operational Research.
   RePEc:eee:ejores:v:304:y:2023:i:3:p:1189-1199.

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9. Innovation, productivity and spillover effects in the Italian accommodation industry. (2023). Bernini, Cristina ; Galli, Federica.
   In: Economic Modelling.
   RePEc:eee:ecmode:v:119:y:2023:i:c:s0264999322003820.

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10. Persistent and transient inefficiency in a spatial autoregressive panel stochastic frontier model. (2022). Tran, Kien ; Lai, Hung-pin.
    In: Journal of Productivity Analysis.
    RePEc:kap:jproda:v:58:y:2022:i:1:d:10.1007_s11123-022-00638-z.

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11. Environmental Regulation, Corporate Economic Performance and Spatial Technology Spillover: Evidence from China’s Heavily Polluting Listed Corporations. (2022). Gu, Xuesong ; An, Xiaoran ; Liu, Andong.
    In: IJERPH.
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12. Spatial dependence in the technical efficiency of local banks. (2022). Migliardo, Carlo ; Anselin, Luc ; Algeri, Carmelo ; Forgione, Antonio Fabio.
    In: Papers in Regional Science.
    RePEc:bla:presci:v:101:y:2022:i:3:p:685-716.

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13. Regional Heterogeneity of the Family Farming in Brazil: an Analysis Using a Spatial Stochastic Frontier. (2021). Costa, Edward ; Magalhes, Thyena Karen ; de Souza, Helson Gomes ; Xavier, Filipe Augusto.
    In: Journal of Agricultural Studies.
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14. The natural resource curse: Evidence from the Colombian municipalities. (2021). Dall'erba, Sandy ; Ayala-García, Jhorland ; Ayalagarcia, Jhorland.
    In: Papers in Regional Science.
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15. Climate variability and farm inefficiency: A spatial stochastic frontier analysis of Senegalese agriculture. (2020). Adjin, Christophe K.
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    RePEc:zbw:cauapw:wp202009.

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16. Technical efficiency and spatial spillovers: Evidence from grain marketing cooperatives in the US Midwest. (2020). Grashuis, Jasper ; Skevas, Theodoros.
    In: Agribusiness.
    RePEc:wly:agribz:v:36:y:2020:i:1:p:111-126.

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17. Accounting for rainfall and the length of growing season in technical efficiency analysis. (2020). Areal, Francisco ; Gadanakis, Yiorgos.
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18. Asymptotic properties of a spatial autoregressive stochastic frontier model. (2020). Lee, Lung-Fei ; Jin, Fei.
    In: Journal of Spatial Econometrics.
    RePEc:spr:jospat:v:1:y:2020:i:1:d:10.1007_s43071-020-00002-z.

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19. Carbon Tax and Energy Intensity: Assessing the Channels of Impact using UK Microdata. (2020). Weyman-Jones, Thomas G ; Adetutu, Morakinyo O ; Odusany, Kayode A.
    In: The Energy Journal.
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20. The Impact of Haze Pollution on Firm-Level TFP in China: Test of a Mediation Model of Labor Productivity. (2020). Zeng, Yating ; Shi, Shuai ; Li, Bin.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:20:p:8446-:d:427611.

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21. The role of spatial interdependence in local government cost efficiency: An application to waste Italian sector. (2020). Allegrini, Veronica ; Fusco, Elisa.
    In: Socio-Economic Planning Sciences.
    RePEc:eee:soceps:v:69:y:2020:i:c:s0038012118303008.

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22. Technology gap, global value chain and carbon intensity: Evidence from global manufacturing industries. (2020). Sun, Yongping ; Shi, Xunpeng ; Ye, Qin.
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23. Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales. (2020). Kneib, Thomas ; Klein, Nadja ; Herwartz, Helmut.
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24. Interjurisdiction political competition and green total factor productivity in China: An inverted-U relationship. (2020). Li, Jian ; Shen, Kunrong ; Jin, Gang.
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    RePEc:eee:chieco:v:61:y:2020:i:c:s1043951x18301287.

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25. Investigating space‐time patterns of regional industrial resilience through a micro‐level approach: An application to the Italian wine industry. (2020). Vidoli, Francesco ; Canello, Jacopo.
    In: Journal of Regional Science.
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26. School district consolidation policies: endogenous cost inefficiency and saving reversals. (2019). Kutlu, Levent ; Karakaplan, Mustafa.
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27. Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency. (2019). Piano Mortari, Andrea ; Ilardi, Giuseppe ; Belotti, Federico.
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28. Spatial Production Economics. (2019). Orea, Luis ; Álvarez, Inmaculada.
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29. A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms. (2019). Orea, Luis ; Álvarez, Inmaculada ; Alvarez, Inmaculada C.
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30. Productivity convergence trends within Russian industries: firm-level evidence. (2019). Tsvetkova, Anna ; Bessonova, Evguenia.
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31. The impact of environmental regulation on the coordinated development of environment and economy in China. (2018). Zhu, Zhishuang ; Fan, Yingjun ; Zhang, Huaming.
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32. Quality and resource efficiency in hospital service provision: A geoadditive stochastic frontier analysis of stroke quality of care in Germany. (2018). Geissler, Alexander ; Klein, Nadja ; Herwartz, Helmut ; Strumann, Christoph ; Pross, Christoph.
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33. Modelling spatial regimes in farms technologies. (2018). Salvioni, Cristina ; Billé, Anna Gloria ; Benedetti, R.
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34. The Impact of Government Competition on Regional R&D Efficiency: Does Legal Environment Matter in China’s Innovation System?. (2018). Wang, Kun ; He, Baocheng.
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35. Estimating efficiency in a spatial autoregressive stochastic frontier model. (2018). Kutlu, Levent.
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36. Environmental Efficiency of Chinese Open-Field Grape Production: An Evaluation Using Data Envelopment Analysis and Spatial Autocorrelation. (2016). Mu, Weisong ; Kanianska, Radoslava ; Feng, Jianying ; Zhao, Fengtao ; Tian, Dong.
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37. Spatial nonstationarity in the stochastic frontier model: An application to the Italian wine industry. (2016). Vidoli, Francesco ; Fusco, Elisa ; Canello, Jacopo ; Cardillo, Concetta.
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38. A spatial autoregressive stochastic frontier model for panel data with asymmetric efficiency spillovers. (2016). Sickles, Robin ; Kenjegalieva, Karligash ; Glass, Anthony J.
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39. How to Measure Spillover Effects of Public Capital Stock: A Spatial Autoregressive Stochastic Frontier Model. (2015). Sickles, Robin ; Han, Jaepil ; Ryu, Deockhyun.
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40. A Spatial Autoregressive Stochastic Frontier Model for Panel Data with Asymmetric Efficiency Spillovers. (2015). Sickles, Robin ; Kenjegalieva, Karligash ; Glass, Anthony J.
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