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Given that female candidates benefit more from an election based on a proportional representation system as opposed to a plurality system and the extent of corruption may not change much across a crude classification of electoral systems, this study attempts to connect the level of corruption to the proportion of female legislators by introducing the electoral rules as an instrument for the latter variable.

This paper uses electoral rules as an instrument for the elected women to clarify the causality of women on corruption since a country with a high number of female legislators may simply have superior economic performance, which may reveal a simultaneous preference for gender equality and clean government. Section 2 describes the relationships between corruption and women. Section 3 provides the empirical specification by first building a channel from the electoral rules to elected women and then investigating the influence of female legislators on the level of corruption. This section also provides a description of the data. Section 4 presents the results of the analysis. Section 5 concludes.

The results show that having more women in parliament results in more honest government, which is very likely to be causally evident.

This study investigates whether more seats taken by female parliamentarians results in a less corrupt government. While a large and growing body of research on this issue claims that there is a link between a higher level of female representation in government and lower levels of corruption, it is uncertain if a causal relationship can be established. This study attempts to provide evidence by building a channel from electoral rules and gender quotas to the fraction of female legislators, while consequently investigating the impact of female legislators on corruption. Based on the countries contained in this study, the results suggest that the presence of female parliamentarians apparently has a significantly negative effect on the level of corruption, which is very likely to be causally evident.

The purpose of this paper is (1) to determine the factors that significantly influence the capital structure, (2) to determine the factors that significantly influence profitability, (3) to find the factors that significantly influence growth opportunities, (4) to find reciprocal influence between capital structure and profitability and (5) to find reciprocal influence between capital structure and growth opportunity.

The population of this research is a manufacturing company listed on the Indonesia Stock Exchange during the period of 2010–2016. The number registered in the manufacturing sector is 144 companies. The sampling technique applied is purposive sampling. The fulfillment criteria are companies that have been approved before 2010. Another criterion is that the company is not delisting during the observation period. From that total of population, companies that meet the requirements are 117 companies. This observation was conducted for seven years since 2010–2016, so the center of the analysis of this research was a total of 819. The inferential statistics method used to analyze the research data is generalized structural component analysis (GSCA).

The results of this study indicate that (1) the factors that influence the capital structure include effective tax rate, financial flexibility, growth, uniqueness, asset Utilization, firm size and tangibility; (2) factors that affect profitability include liquidity, growth, firm age, uniqueness, tangibility, volatility, advertising and asset turnover; (3) growth opportunity have a negative and significant influence on capital structure. This means an increase in growth opportunity can be defined as an increase in depreciation that will not be used as collateral for managers to increase debt. This increase in debt will have an impact on reducing growth opportunities; (4) profitability and capital structure have a two-way causality relationship, which means they influence each other and (5) capital structure and growth opportunities have a negative reciprocal relationship.

The authenticity of the study is implied in the following explanation: The authors try to examine the reciprocal effect of capital structure on profitability and capital structure on growth opportunities and the factors that influence these two endogenous variables that have never been done by previous researchers. This research is motivated by research conducted by (Chathoth and Olsen, 2007; Jian-Shen Chen et al., 2009; Yang et al., 2010) using the structural equation model (SEM). However, this study uses GSCA as a method of research analysis.

The megaproject is a vital innovation ecosystem for participants engaging in technological adoption and integration to achieve project goals. The purpose of this paper is to examine how ecosystem captains build and operate a megaproject innovation ecosystem (MIE). To be more specific, we conducted an in-depth case study to identify the roles played by ecosystem captains in establishing and managing a megaproject innovation ecosystem.

Based on the Hong Kong-Zhuhai-Macau Bridge project, the data we collected range from 2010 to 2019 and include semi-structured interviews, informal conversations, and archival documents. We employed an inductive theory building approach to address our research question and analyzed our data using the coding process and Atlas.ti software.

We find that the ecosystem captains themselves are client organizations that have evolved with the ecosystem during four distinct yet inter-related phases. In addition, we find that the captains’ roles of the client organizations include two typical activities: ecosystem establishment and ecosystem collaboration. The ecosystem captains first frame problems, plan innovative activities, set rules, and select participants for the establishment of the ecosystem, and then orchestrate resources, buffer conflicts, incorporate innovative networks, and cultivate an innovation culture to create a collaborative ecosystem.

This study proposes a theoretical framework showing how ecosystem captains engage in MIE to manage innovative activities during different stages. It highlights the importance of captainship roles in client organizations in a megaproject.