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A sampling approach to estimate the log determinant used in spatial likelihood problems

Citations

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Cited by:

  1. Ying Han & Baoling Jin & Xiaoyuan Qi & Huasen Zhou, 2021. "Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
  2. Eva Coll-Martínez & Malia Kedjar & Patricia Renou-Maissant, 2022. "(Green) Knowledge spillovers and regional environmental support: do they matter for the entry of new green tech-based firms?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 119-161, August.
  3. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
  4. Guoyin Xu & Tong Zhao & Rong Wang, 2022. "Research on the Efficiency Measurement and Spatial Spillover Effect of China’s Regional E-Commerce Poverty Alleviation from the Perspective of Sustainable Development," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
  5. Zeng, Juying & Škare, Marinko & Lafont, Juan, 2021. "The co-integration identification of green innovation efficiency in Yangtze River Delta region," Journal of Business Research, Elsevier, vol. 134(C), pages 252-262.
  6. Haoying Wang & Guohui Wu, 2022. "Modeling discrete choices with large fine-scale spatial data: opportunities and challenges," Journal of Geographical Systems, Springer, vol. 24(3), pages 325-351, July.
  7. Andrew Finley & Sudipto Banerjee & Alan Gelfand, 2012. "Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes," Journal of Geographical Systems, Springer, vol. 14(1), pages 29-47, January.
  8. Neng Shen & Yifan Wang & Hui Peng & Zhiping Hou, 2020. "Renewable Energy Green Innovation, Fossil Energy Consumption, and Air Pollution—Spatial Empirical Analysis Based on China," Sustainability, MDPI, vol. 12(16), pages 1-23, August.
  9. Eva Coll-Martinez & Malia Kedjar & Patricia Renou-Maissant, 2020. "Location Determinants Of Ecoinnovative Firms In France," Working Papers 2020.02, International Network for Economic Research - INFER.
  10. Colombelli, Alessandra & Quatraro, Francesco, 2018. "New firm formation and regional knowledge production modes: Italian evidence," Research Policy, Elsevier, vol. 47(1), pages 139-157.
  11. Lee, Chien-Chiang & Wang, Fuhao, 2022. "How does digital inclusive finance affect carbon intensity?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 174-190.
  12. Yongming Zhu & Xiaoyu Zhou & Junjie Li & Fan Wang, 2022. "Technological Innovation, Fiscal Decentralization, Green Development Efficiency: Based on Spatial Effect and Moderating Effect," Sustainability, MDPI, vol. 14(7), pages 1-16, April.
  13. Zhichuan Zhu & Bo Liu & Zhuoxi Yu & Jianhong Cao, 2022. "Effects of the Digital Economy on Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
  14. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
  15. Olivier Parent, 2012. "A space-time analysis of knowledge production," Journal of Geographical Systems, Springer, vol. 14(1), pages 49-73, January.
  16. Yizhen Zhang & Zhen Deng & Agus Supriyadi & Rui Song & Tao Wang, 2022. "Spatiotemporal spread characteristics and influencing factors of COVID‐19 cases: Based on big data of population migration in China," Growth and Change, Wiley Blackwell, vol. 53(4), pages 1694-1715, December.
  17. Lee, Chien-Chiang & Wang, Fuhao & Chang, Yu-Fang, 2023. "Does green finance promote renewable energy? Evidence from China," Resources Policy, Elsevier, vol. 82(C).
  18. Lee, Chien-Chiang & Wang, Fuhao & Chang, Yu-Fang, 2023. "Towards net-zero emissions: Can green bond policy promote green innovation and green space?," Energy Economics, Elsevier, vol. 121(C).
  19. Wang, Yi & Wang, Huiping, 2023. "Spatial spillover effect of urban sprawl on total factor energy ecological efficiency: Evidence from 272 cities in China," Energy, Elsevier, vol. 273(C).
  20. Jin, Fei & Lee, Lung-fei, 2012. "Approximated likelihood and root estimators for spatial interaction in spatial autoregressive models," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 446-458.
  21. repec:asg:wpaper:1013 is not listed on IDEAS
  22. Han, Xiaoyi & Hsieh, Chih-Sheng & Lee, Lung-fei, 2017. "Estimation and model selection of higher-order spatial autoregressive model: An efficient Bayesian approach," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 97-120.
  23. repec:asg:wpaper:1047 is not listed on IDEAS
  24. Nikos Benos & Nikolaos Mylonidis & Stefania Zotou, 2017. "Estimating production functions for the US states: the role of public and human capital," Empirical Economics, Springer, vol. 52(2), pages 691-721, March.
  25. Binkai Xu & Yanming Sun, 2023. "The Impact of Industrial Agglomeration on Urban Land Green Use Efficiency and Its Spatio-Temporal Pattern: Evidence from 283 Cities in China," Land, MDPI, vol. 12(4), pages 1-19, April.
  26. Luc Anselin, 2012. "From SpaceStat to CyberGIS," International Regional Science Review, , vol. 35(2), pages 131-157, April.
  27. Yizhe Hao, 2024. "The Impact of Labor Misallocation on Carbon Emissions in China: Whether Digital Space Matters," Sustainability, MDPI, vol. 16(7), pages 1-21, March.
  28. Jin, Fei & Lee, Lung-fei, 2013. "Cox-type tests for competing spatial autoregressive models with spatial autoregressive disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 590-616.
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