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This research aims to determine the impact of the COVID-19 pandemic on the social and macroeconomic conditions of East Nusa Tenggara Province (ENT) and formulate strategies, policies, and programs for post-COVID-19 economic recovery. The study used two approaches, namely quantitative and qualitative approaches, where quantitative was used to determine the impact of COVID-19 on the macroeconomic variables of ENT. Meanwhile, a qualitative approach is used to analyze the impact of COVID-19 on social conditions and then formulate strategies, policies, and programs to overcome the economy after COVID-19. To help researchers analyze conditions and formulate strategies and policies using SWOT and analytical hierarchy process (AHP) analysis, then create a model for the economic development of ENT after COVID-19. The results of this study are the economic growth of ENT from the business sector, namely the accommodation, food and drink sector, then the wholesale and retail trade sector, followed by the transportation and warehousing sectors. Meanwhile, the sectors that experienced significant growth were information and communication. In the social aspect, poverty and unemployment rates have increased. Economic development strategies and policies are improving the quality of telecommunications networks in tourism areas, economic digitization, providing internet facilities, and free learning tools for underprivileged students. Collaboration between academics, government, leaders, business actors, and the media for economic development through social enterprises is needed. The impact of this research is to contribute to economic development after COVID-19 in ENT.

Globalization of agriculture via the evergreen revolution (which encompasses large-scale production-collection-cleaning-processing-packaging-transportation-storage-distribution-sale of high-value cereals-fruits-flowers-vegetables-agrofuel-feedstock through technology-intensive global value chains) has opened the door to corporate capital involvement in agriculture. While the mainstream perspectives and international organizations have optimistically viewed this as a catalyst for inclusive growth, this article seeks to unveil the concealed hegemony of capital underlying the ostensibly beneficial façade of the evergreen revolution. It underscores the concerns regarding the immiseration of asset-poor farmers, petty nonfarm entrepreneurs and labourers resulting from the globalization of agriculture. Furthermore, it explores the implications for micro and macro food security in this context.

Job finding and separation are not well studied in economies with high labor informality. In this chapter, we contribute to filling the gap in the literature of labor turnover, proposing a methodology to estimate both indicators in an economy with high informality. To this end, we estimate indicators of job finding and separation rates for Peru's developing economy, in which labor informality stands at 70%. We find that, on average, these indicators in the formal sector are similar to those estimated in developed economies; however, in the informal sector, the calculated indicators are approximately two times higher than those of the formal sector. The two indicators show considerable heterogeneity in the informal sector according to several observable categories; in addition, the separation rate is countercyclical, and the finding rate is procyclical, this cyclicality being greater in the formal sector.

This study investigates the formal/informal employment earnings gap in Turkey. We focus on the earnings differentials that can be explained by observable characteristics and unobservable time-invariant individual heterogeneity. We first, estimate the standard Mincer earnings equations using ordinary least squares (OLS), controlling for individual, household, and job characteristics. Next we use, panel data and the quantile regression (QR) techniques in order to account for unobserved factors which might affect the earnings and the intrinsic heterogeneity within formal and informal sectors. OLS results confirm the existence of an informal sector penalty almost half of which is explained by observable variables. We find that formal-salaried workers are paid significantly higher than their informal counterparts and of the self-employed confirming the heterogeneity within the informal employment. QR results show that pay differentials are not uniform along the earnings distribution. In contrast to the mainstream literature which views informal self-employment as the upper-tier and wage-employment as the lower-tier, we find that self-employment corresponds to the lower-tier in the Turkish labor market. Finally, fixed effects estimation indicates that unobserved individual characteristics combined with controls for observable characteristics explain the pay differentials between formal and informal employment entirely in the total and the female sample. However, informal sector penalty persists in the male sample.

In the last decade, Argentina has experienced a considerable decline in informal employment and wage dispersion. This paper extends a search model with exogenous human capital accumulation to include the informal sector. The model is parametrized to match Argentinian data between 1996 and 1998 – before the onset of the declining trend – and it is used to investigate the contribution of labor market measures to the falling informality, unemployment, and wage dispersion. The findings indicate that institutional factors did not contribute to the positive labor market trends observed; on the contrary, results show that higher severance pay and minimum wages increase informality and that the introduction of unemployment assistance contributed to the spread of informal contracts across the work force. Further, I find that compliance with minimum wage regulation strongly affects the final impact of these policies. While non perfect compliance might reduce unemployment, it reinforces the incentives of workers to move to the informal sector.