Sleep late? Pre-reform institutional embeddedness and entrepreneurial reinvestment of private firms in China’s transition economy

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Di Song ◽  
Aiqi Wu ◽  
Xiaotong Zhong ◽  
Shufan Yu

Purpose This study aims to introduce an important temporal dimension to the research on institution and entrepreneurship in the transition period. This study develops the concept of pre-reform institutional embeddedness, and explores its impact on entrepreneurial reinvestment of private firms in China’s transition economy. Design/methodology/approach The authors used secondary data of a nationally representative sample of China’s private firms collected in the early days of the institutional transition period and applied ordinary least squares regressions and the Baron and Kenny approach to test the theoretical model. Findings Pre-reform institutional embeddedness has a negative impact on entrepreneurial reinvestment of private firms in the transition period. This relationship is mediated by guanxi-induced employment, such that pre-reform institutional embeddedness promotes guanxi-induced employment, which in turn discourages a private firm to reinvest. Additionally, the negative impact of guanxi-induced employment on entrepreneurial reinvestment is reduced when decentralization of decision-making is used. Practical implications First, entrepreneurs should be aware of pre-reform institutional embeddedness’ negative influence on firms’ risk-taking abilities and incentives. Private firms already constrained by this connection could alleviate the negative impacts through a widespread delegation of decision-making authority. Second, policymakers should be cautious about improper government-business relationships, which may discourage private firms from fully pursuing entrepreneurial growth opportunities. Originality/value This paper makes theoretical contributions to the literature on entrepreneurial reinvestment, embeddedness perspective of entrepreneurship and imprinting theory.

2018 ◽  
Vol 11 (4) ◽  
pp. 701-715 ◽  
Author(s):  
Andi Nidaul Hasanah ◽  
Muhammad Halley Yudhistira

Purpose Landscape view is a crucial factor in house-buying decisions. Landscape views provide an amenity to residents, and this can influence the house or apartment owners in their residence decisions. Yet, the relative value of different types of view potentially differs. Additionally, the value of each type of view may differ depending on an apartment’s elevation above the ground level. In this study, the authors aim to estimate the value of landscape views on apartment prices in major urban areas in Indonesia. Design/methodology/approach This paper evaluates to what extent various landscape views including mountain, sea, river, lake, street, urban village, garden and sports center views affect apartment prices in major urban areas in Indonesia. Two hedonic regression approaches are used: ordinary least squares and semiparametric regression. The latter is used to accommodate a possible non-linearity in the relationship between price and apartment characteristics. The model also incorporates housing and locational characteristics as control variables. Findings Using online apartment market data, the estimates in this paper show some degree of heterogeneity in the value of various views to the extent of providing negative externalities. Mountain, street and sports center views are associated with higher apartment prices. Sea, lake and garden views are statistically insignificant in explaining the prices. In contrast, the unappealing nature of the rivers and their surrounding creates a negative impact on prices. The estimates also suggest that an apartment’s floor height plays a significant role in the valuation of views. Originality/value There is little research on landscape view effects on apartment prices, especially in Indonesia. In addition, the relationship between the value of views and height preferences has seldom been analyzed. This paper provides the valuation of an extensive list of landscape views in urban areas in Indonesia. The estimation results also suggest that the value of views may differ depending on the floor on which an apartment lies.


2020 ◽  
Vol 24 (6) ◽  
pp. 1343-1367 ◽  
Author(s):  
Xi Zhang ◽  
Jiaxin Tang ◽  
Xin Wei ◽  
Minghui Yi ◽  
Patricia Ordóñez

Purpose The purpose of this paper is to explore the impact of mobile social media functions on explicit and implicit knowledge sharing under the “Guanxi” system based on the framework of stimulus–organism–response (SOR). Design/methodology/approach Combined with Guanxi theory, this paper designs an experiment to collect data from the new product development (NPD) teams. Findings Interestingly, the results show that the effect of social media communication function on employees is greater than the impact of collaboration on employees. Specifically, on the one hand, the more employees communicate in social media, the better their feelings will be, the less they will share knowledge. On the other hand, the collaboration function has a significantly negative impact on the psychological factors of employees. Excessively close cooperation and contact may instead create a contradiction between the employees, which is not conducive to the occurrence of knowledge sharing. Originality/value This paper extends SOR framework by combining Guanxi theory to examine the relationship between social media functions and knowledge sharing behavior (KSB). In practical, companies should pay attention to the frequency of employee using social media when it is introduced for NPD teams to control the negative influence of social media functions on employee KSB.


2020 ◽  
Vol 28 (6) ◽  
pp. 951-975
Author(s):  
Asit Bhattacharyya ◽  
Md Lutfur Rahman

Purpose India has mandated corporate social responsibility (CSR) expenditure under Section 135 of the Indian Companies Act, 2013 – the first national jurisdiction to do so. The purpose of this paper is to examine the impact of mandated CSR expenditure on firms’ stock returns by using actual CSR spending data, whereas the previous studies mostly focus on voluntary CSR proxied by CSR scores. Design/methodology/approach The authors estimate their baseline regression by using ordinary least squares(OLS) method. Although the baseline regression involving CSR expenditure and stock returns using ordinary least squares method are estimated, endogeneity and reverse causality biases are addressed by using two-stage least squares and generalized method of moments approaches. These approaches contribute mitigating endogeneity bias and biases associated with unobserved heterogeneity and simultaneity. Findings The findings document that mandatory CSR expenditure has a negative impact on firms’ stock returns which supports the “shareholders” expense’ view. This result remain robust after controlling for endogeneity bias and the use of both standard and robust test statistics. The authors however observe that this result holds for the firms with actual CSR expenditure equal to the mandated amount but does not hold for the firms with actual CSR expenditure greater than the mandated amount. Therefore, the authors provide evidence that CSR expenditure’s impact on stock returns depends on whether firms simply comply the regulation or voluntarily chose an amount of CSR expenditure above the mandated amount. Originality/value The primary contribution is to present a valid and robust evidence of negative effect of mandated CSR spending on firms’ stock returns when the mandatory CSR spending rule is already in place. This study contributes by examining the impact of mandated CSR spending on stock during post-implementation period (2015-2017), whereas other studies by Dharampala and Khanna (2018); Kapoor and Dhamija (2017); and Mukherjee et al. (2018) mainly examined the impact of legislation on Indian CSR. The authors use mandated actual CSR expenditure, whereas previous studies mostly focus on voluntary CSR proxied by CSR scores.


2019 ◽  
Vol 10 (4) ◽  
pp. 322-338 ◽  
Author(s):  
Patrick Velte

Purpose This study aims to focus on environmental, social and governance (ESG) performance as a whole and individually in its three pillars and their influence on earnings management. Design/methodology/approach Companies listed on the German Prime Standard (DAX30, TecDAX and MDAX) for the business years 2011-2017 (548 firm-year observations) are included in the empirical quantitative study. A correlation and regression analysis is conducted to analyze the impact of ESG performance as determined by the Asset4 database of Thomson Reuters on accruals-based earnings management (AEM) and real earnings management (REM). Findings ESG performance has a negative influence on AEM but not on REM. Moreover, by dividing the three different factors of ESG performance, governance performance has the strongest negative impact on AEM in comparison to environmental and social performance. This study also suggests a bidirectional relationship between ESG performance and earnings management. Originality/value The analysis makes a key contribution to research as the link between ESG performance and their three components and earnings management are analyzed for the German two-tier system for the first time. Corporate practice, regulators and researchers should recognize that ESG performance and financial reporting should be discussed together.


2019 ◽  
Vol 26 (3) ◽  
pp. 692-704
Author(s):  
Muhammad Ali ◽  
Lubna Khan ◽  
Amna Sohail ◽  
Chin Hong Puah

Purpose The purpose of this study is to examine the effect of foreign aid (FA) on corruption in selected Asian countries (Pakistan, India, Srilanka and Bangladesh) using the panel data from 2000 to 2014. Design/methodology/approach The author used Levin-Lin-Chu and Im-Pesaran-Shin panel unit root tests to check the stationary properties of the variables. The Pedroni’s and Kao panel cointegration approach was applied to analyze the variable’s long-run relationship. The author used panel dynamic ordinary least squares (PDOLS) and fully modified ordinary least squares (FMOLS) framework to estimate the coefficients of cointegrating vectors. Additionally, the panel granger causality test was performed to check the causal relationship between the variables. Findings The results from PDOLS and FMOLS indicate that FA has a significant negative impact on the level of corruption. This infers that the foreign assistance decrease the level of corruption perception index, hence, more corruption in the country. Originality/value Overall, the study fulfills the need to understand the aid-corruption nexus, particularly in the case of the Asian region.


Significance Kuczynski’s future as president hangs in the balance. His refusal to heed opposition demands for his resignation may harden the resolve of a congressional majority to vote for his ouster on grounds of ‘moral incapacity’. Kuczynski, who will face his parliamentary accusers on December 21, is embroiled in controversy as to whether he received funds from Brazilian construction company Odebrecht when a minister. Impacts Kuczynski’s removal would probably lead to a downgrade in Peru’s credit rating. It would delay decision-making, but not necessarily herald a shift in economic policy. The hiatus would have a further negative impact on institutional stability. The main beneficiary, at least in the short term, would be Keiko Fujimori.


2015 ◽  
Vol 1 (1) ◽  
pp. 195-223 ◽  
Author(s):  
Falko Paetzold ◽  
Timo Busch ◽  
Marc Chesney

Purpose – Investment advisors play a significant role in financial markets, yet the determinants of their behavior have not been explored in detail. The purpose of this paper is to explore the determinants of how actively advisors communicate about sustainable investing with their clients, and differences in the preferences of advisors compared to investors. Design/methodology/approach – Based on a survey with 296 retail and private banking investment advisors, this study employs an ordinary least squares regression model to explore the determinants of advisors activity in communicating about sustainable investing (SI) with their clients, differences in the aspects that matter to advisors and investors, and the role of the complexity of sustainability. Findings – Advisors activity in communicating about SI relates to their expectation of SI regarding financial return, real-world impact, and the fuzziness and trustworthiness of SI. Advisors appear not to be influenced by expected risk and their personal values, which runs against prior research findings and the interest of investors. Research limitations/implications – Future research should assess cultural differences and explore asymmetries between advisors and investors in regard to the role of volatility, values, impact measurement, and complexity. Practical implications – Investment advisors underweighting aspects related to risk and self-transcendent values relative to their clients might limit the suitability of clients ' portfolios, skew capital allocation, and depress the role of SI in financial markets. Generalized to salespeople this behavior might depress the market success of products related to sustainability at large. Social implications – The findings and their generalization indicate that salespeople might systematically deviate from their clients’ interests in regard to social responsibility. Advisors and salespeople in their mediating role might be an important barrier to sustainable development. Originality/value – This is the first quantitative study that explores the decision-making by investment advisors in the context of SI, and as such answers to specific calls in literature to explore the micro-foundations of decision making in regard to SI and social responsibility, and on the relationship between private investors and investment advisors. This study is based on unique and original empirical data on advisors that work with retail and wealthy private investors.


Kybernetes ◽  
2016 ◽  
Vol 45 (3) ◽  
pp. 536-551 ◽  
Author(s):  
Seyed Hossein Razavi Hajiagha ◽  
Shide Sadat Hashemi ◽  
Hannan Amoozad Mahdiraji

Purpose – Data envelopment analysis (DEA) is a non-parametric model that is developed for evaluating the relative efficiency of a set of homogeneous decision-making units that each unit transforms multiple inputs into multiple outputs. However, usually the decision-making units are not completely similar. The purpose of this paper is to propose an algorithm for DEA applications when considered DMUs are non-homogeneous. Design/methodology/approach – To reach this aim, an algorithm is designed to mitigate the impact of heterogeneity on efficiency evaluation. Using fuzzy C-means algorithm, a fuzzy clustering is obtained for DMUs based on their inputs and outputs. Then, the fuzzy C-means based DEA approach is used for finding the efficiency of DMUs in different clusters. Finally, the different efficiencies of each DMU are aggregated based on the membership values of DMUs in clusters. Findings – Heterogeneity causes some positive impact on some DMUs while it has negative impact on other ones. The proposed method mitigates this undesirable impact and a different distribution of efficiency score is obtained that neglects this unintended impacts. Research limitations/implications – The proposed method can be applied in DEA applications with a large number of DMUs in different situations, where some of them enjoyed the good environmental conditions, while others suffered from bad conditions. Therefore, a better assessment of real performance can be obtained. Originality/value – The paper proposed a hybrid algorithm combination of fuzzy C-means clustering method with classic DEA models for the first time.


2017 ◽  
Vol 11 (4) ◽  
pp. 466-480
Author(s):  
Kannan Ramaswamy ◽  
Saptarshi Purkayastha

Purpose This paper aims to report the findings from a longitudinal study of Indian business groups responding to the pro-market reforms that the government had initiated. It explores their diversification choices at the group level and the group performance consequences of these choices during a period of institutional changes (1990-2008). Design/methodology/approach Ordinary least squares regressions were used to analyze data spanning the 1988-2008 study period for 98 Indian business groups. Findings Results show that business groups that focused their portfolios in the early stages of institutional reforms tended to perform worse than their counterparts that did not do so. However, as market reforms became more established, business groups that made the transition from an unfocused to a more focused portfolio experienced superior performance consequences. Originality/value The findings underscore the temporal dimension of focusing and suggest that both changing strategy by refocusing business portfolio too early or waiting too long to refocus can hurt performance outcomes.


2019 ◽  
Vol 7 (3) ◽  
pp. 16
Author(s):  
Cordelia Onyinyechi Omodero

The effect of money supply in enhancing economic growth in Nigeria and Ghana is investigated in this study. The major objectives of the study are to establish the joint and individual influences of money supply mechanisms on economic growth in Nigeria and Ghana. The study employs data from 2009 to 2018 and uses Ordinary Least Squares regression technique for analysis of the data. The findings reveal that broad money supply (M2) has an insignificant negative influence on RGDP in Nigeria, but in Ghana the impact is significant and positive. Broad money supply (M3) exerts insignificant positive influence on RGDP in Nigeria, but significant negative impact on RGDP in Ghana while credit to private sectors (CPS) has insignificant positive influence on RGDP in both Nigeria and Ghana. The study among others suggests that the Monetary Authorities in the two countries should come up with monetary policy strategies that will help drive the economy better and such policies should consider M2 and CPS more as their contributions are necessary for economic expansion that lead to more output and employment.


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