Liurong Pan

Liurong Pan


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 January 2023 in Frontiers in Environmental Science
Verified
Journal Article
Open access
NZNan Zhou
Nan Zhou
LPLiurong Pan
Liurong Pan
YTYe Tian
Ye Tian
NZNian Zhu
Nian Zhu
XCXiang Cai
Xiang Cai
JGJianhua Gao
Jianhua Gao
Sustainable business model innovation (SBMI) and green technology innovation (GTI) are keys to creating shared social and business value, and both are essential elements of responsible innovation. However, SBMI or GTI is unable to develop a sustainable business. The main purpose of this study is to analyze sustainable dual innovation as a conceptual framework based on the panel data of 1468 Chinese manufacturing A-share listed companies from 2010 to 2020, and it has obtained three essential findings. First, there is a significant matching effect between SBMI and GTI on sustainable corporate performance (SCP). Companies report higher levels of SCP when there is a higher congruence in SBMI with GTI. Secondly, organizations with high SBMI-low GTI realize superior SCP compared to organizations with low SBMI-high GTI. The high SBMI-low GTI becomes an ideal choice for most companies and avoids the “destructive factors” brought by low SBMI-high GTI. Finally, a highly aggressive corporate strategy has a “magnifying effect” on the impact of the combination of SBMI and GTI on SCP. The research provides a comprehensive understanding and collective impact of SBMI and GTI on SCP. Overall, findings provide a theoretical basis for enterprises to decide on the consistency/inconsistency trade-off between SBMI and GTI. Moreover, it encourages to enterprises must develop an aggressive strategy to balance.

ASAadil Hameed Shah
Aadil Hameed Shah
AKAtta Ullah Khan
Atta Ullah Khan
LPLiurong Pan
Liurong Pan
AAAsad Amin
Asad Amin
ACAbbas Ali Chandio
Abbas Ali Chandio
The basic objective of the existing study was to inspect the triangular association between economic growth, poverty, and income disparity in farming and non-farming communities across agro-climatic zones in Punjab province, Pakistan. The cross-sectional Household Integrated Economic Survey (HIES) data and Poverty Equivalent Growth Rate (PEGR) methodology were applied from 2001–2002 to 2015–2016. Outcomes of the study found that in a short period, 2001–2002 to 2004–2005; 2004–2005 to 2005–2006; 2005–2006 to 2007–2008; 2007–2008 to 2010–2011; 2010–2011 to 2011–2012; 2011–2012 to 2013–2014; and 2013–2014 to 2015–2016, economic growth has presented hybrid (pro-poor and anti-poor) pattern across both communities of all agro-climatic zones of Punjab province in different periods. In the longer period of 2001–2002 to 2015–2016, economic growth has been pro-poor across both communities of all the zones apart from zone III (Cotton-Wheat Punjab); there is an anti-poor pattern of economic growth. Results for the decomposition of change in poverty further indicate that economic growth is a dominant factor in reducing poverty for all investigated zone. Moreover, a positive redistribution component reduces the beneficial impacts of economic growth for the poor more than for non-poor, that ultimately makes economic development patterns anti-poor in zone III. In the present study, we proposed two-fold policy implications. First, improve the living standard of households in each agro-climatic zone by increasing their incomes. Second, develop a precise taxation system that helps to reduce income disparities among upper-pro to lower-income groups.