Analysis of Factors Affecting Gillnet Fisherman Income 10 GT at Fish Auction Place, Indramayu Regency

The purpose of this study is to analyze the income level of gillnet fishermen <10 GT, to analyze the factors that affect the level of income, and to formulate strategies and solutions to increase income. This research was conducted at the Fish Auction Place (TPI) Pabean Udik, Pabean Udik Village, Indramayu Regency. This location was chosen because the Udik Customs Fish Auction Place (TPI) is dominated by fishermen using gillnet fishing gear who have vessels <10 GT. The method used is the census method with samples taken as a whole. The analysis used in this research is the Logistic Regression Analysis and the SWOT Analysis. Research results obtained by using IBM SPSS, namely for the Sig Value Variable in the Equation is 100%, this value is interpreted by 8 (factors) Independent variables can affect income only educational factors that do not affect income and for the results obtained from SWOT analysis namely to increase the income of gillnet fishermen <10 GT at TPI Pabean Udik, namely the development of technology and fisheries business scale, development of access to capital for fishermen, development of marketing access, development of facilities and infrastructure at TPI Pabean Udik, Development of diversification of fish management and environmentally friendly fisheries management.

Impact of Culture on Stock Market Returns and Volatility Spillover: Case of World Frontier Markets

As integration is related to systemic risk and rewards in the markets, it’s coupled with both weak and semi-strong form efficiency. Little or no evidence is found on return and volatility spillover of Frontier markets let alone the very new emerging area of cultural Finance. This study takes US and fifteen frontier markets out of 32 from all five regions defined by MSCI 2015, based on their data availability from January 2000 to December 2015 for sixteen years. This study uses the Diebold and Yilmaz''s (2009) measure of financial integration which uses decomposition of Variances in vector autoregressive models, on weekly data of returns and realized volatility to arrive at static and dynamic return and volatility indices. At the second layer of analysis the static indices are used in cross sectional country pair financial gravity model to know the determinants of return and volatility spillovers followed by Balli, Balli, Jean Louis, and Vo, (2015). With addition of Weighted mahalanobis, asymmetrical Cultural distance measure of Yeganeh (2014) by taking four dimension of culture from Hofstede (2001), in the cross sectional determinant model this study take next step by examining the relationships in independently pooled panel data paradigm. By taking bi-lateral returns and volatility spillovers with four sub-sample periods of 2000- 2003, 2004-2007, 2008-2011, 2012-2015 of four years each, the study incorporates dynamism in integration of not only interdependence in financial markets but also in cultural variables. Moreover, in both cross sectional and panel data setting this study investigates the channels through which Culture operates, motivated by the work of Lucey & Zhang (2010); Eun, Wang, and Xiao (2015); and Rothonis, Tran, and Wu, (2016) through introducing moderators in OLS models. Finally this study also includes the crisis index developed by Sachs, Tornell, and Velasco (1997) and used by Zhu and Yang (2008) to know the contagion of crisis in frontier markets and if Culture is a channel of contagion through simple OLS methodology in panel settings. The Markets are partially integrated and spillovers are low as compared to previous results of emerging and developed markets. The overall high volatility spillovers against returns give way to behavioral and cultural factors and non-existence of rational models of finance in decision making. US as representative of the developed markets shows highest contribution to the shocks in Frontier markets variance ratios in both cases. This study found high significant positive relationship to our cultural distance measure and support the notion that culturally distant countries have low levels of spillovers in both returns and volatility. Geographical proximity related hypothesis was completely rejected proving that frontier markets financial dynamics are not derived by regions. Trade openness is a channel through which relationship between culture and financial integration weakens in both spillovers, which leads to the theory of liberalization and efficiency as posited by Bekaert, Harvey, and Lundblad (2003). On the other hand Capital account openness enhances the culture-spillover relationship a little bit which is against the theory but we can attribute it to sociological concept of cultural lag, and as theorized by Lucey and Zhang (2010), it is proved that trading is also channel of cultural impact on both returns and volatility spillover. Interestingly from the five international scaled crises only Sovereign Debt crises created the relationship between national crisis index and Volatility/returns spillovers. According to results only return spillover spread through channel of culture not the volatility spillover. Theoretically it proves that both weak and Semi-Strong form of efficiency do not hold in frontier markets. Significant impact of cultural distances can be attributed to home biasness and information costs, moreover openness is gradual and time taking process.