The agriculture and manufacturing sectors are the backbones of the Indonesian economy; for this reason, research on the effects of these sectors on carbon emissions is an important subject. This work adds urbanization to enrich research on the Environmental Kuznets Curve (EKC) in Indonesia. The results of this study indicate that the EKC hypothesis was confirmed in Indonesia with a turning point of 2057.89 USD/capita. The research results show that all variables affect the escalation of greenhouse gas emissions in Indonesia. Furthermore, there is a bidirectional causality relationship between emissions with economic growth, emissions with agricultural sector, emissions with manufacturing sector, economic growth with agricultural sector, and economic growth with manufacturing. The unidirectional causality is found in emissions by urbanization and economic growth by urbanization. To reduce the impact of environmental damage caused by the activities of agriculture, manufacturing, and urbanization sectors, it is recommended that the government conduct water-efficient rice cultivation and increase the use of renewable energy.

The paper examined the factors influencing farmer’s willingness to adopt GI (geographical indication) practices in the Indonesian coffee sector from a psycho behavioral perspective. Specifically, the paper examined the psychological factors influencing the willingness of farmers to adopt GI. The study combined (1) the Planned Behavior (TPB) theory and (2) Technology Acceptance Model (TAM) as the theoretical framework. The following psycho behavioral factors were constructed and tested: subjective norm (SN), perceived behavioral control (PBC), attitudes toward behavior (ATB), perceived usefulness (PU) and perceived economic benefit (PEB). The study also investigated the effects of sociodemographic factors on these psycho behavioral constructs. The survey was conducted in two geographical indication coffee territories in Indonesia that involved 178 farmers who are perceived as willing to adopt GI practices and procedures. The relationship between constructs was investigated in which structural equation modeling (SEM) was used. The obtain data were analyzed using WarpPLS 7.0. The study finds that attitude toward behavior, perceived behavioral control, and perceived economic benefit, as important factors influencing the willingness to adopt GI practices. The subjective norm did not affect willingness to adopt GI practices. Farmers’ knowledge mainly affected perceived behavioral control and willingness to adopt GI practices and procedures.

Some experts believe that organic agriculture is more adaptable compared to conventional agriculture. Accordingly, the purpose of this study is to assess organic and conventional farmers’ perception and adaptation to climate change and analyse the factors that influence such decisions. The survey was conducted in Java, involving 112 organic farmers and 112 conventional farmers. The chi-square test was used to differentiate climate change perceptions and adaptation strategies applied by farmers. The factors that influenced the selection of the adaptation strategies were analysed using logistic regression. The results of analysis found that organic farmers have more precise perceptions of climate change than that of conventional farmers. Organic farmers more commonly implement mixed cropping, crop rotation, increasing organic manure, using shade, and changing irrigation techniques as their adaptation strategies, while conventional farmers more commonly prefer to adjust planting and harvesting dates and use traditional climate prediction called Pranata Mangsa. The selection of farmers’ adaptation strategies is influenced by age, education, experience, distance to extension services, access to credit, information about climate and farmer groups, as well as farmers’ perceptions of climate change. The results of the study recommend that policy makers increase farmers’ adaptive capacity through investment in education and institutions to support climate change adaptation.

Purpose: The agricultural sector has an essential role in developing the economy of Indonesia (food, feed, raw materials for industry, contributor to gross domestic product, and labor absorption). For decades, this business field has survived (positive economic growth, while most of the business field faces contraction) during the country’s economic shock (financial crisis, economic setback, and pandemic situation). Thus, this study aims to measure Indonesia’s agricultural sector’s resilience and trends.Research Method: Secondary data have been collected from various sources: The UN Comtrade, World Bank, Central Bureau of Statistics, Ministry of Agriculture, Bank Indonesia, and Investing Coordinating Board of Indonesia. Moreover, principal component analysis is used to determine the index of agricultural sector resilience in Indonesia, while trend analysis is employed to investigate the development of the resilience index from time to time.Findings: The resilience of the agricultural sector varies from time to time. However, it is statistically proven (a = 1%) that resilience tends to increase over the last twelve years.Research Limitations: The variables to determine the agricultural sector resilience in Indonesia consist of trade balance, agricultural terms of trade, total investment, government spending in the agricultural sector, total credit, agricultural workers’ income, and percentage of agricultural workers to total workers. It is suggested that the future study, employed non-agricultural parameters such as environmental conditions and research and development budget to capture a more comprehensive situation on agricultural sector resilience.Originality/ Value: This study contributes to the renewal of the literature on the resilience of the agricultural sector. Moreover, the variables used to represent the parameters of agricultural development in Indonesia may be applied in other countries.

As one of the most productive plantation producers in the world, Indonesia also faces rapid change in both social and environmental systems. These conditions are predicted to become more disruptive to the agricultural sector in the future. Therefore, understanding the impact of social and environmental disruption on smallholder plantations’ resilience is vital to formulate a strategy for the sustainability of farmers’ livelihoods in this country. Using survey data from 360 smallholding farmers in six villages from three districts in Bengkulu Province, Indonesia, the study deployed a multidimensional approach to assess smallholders’ resilience to social and environmental disruption as well as towards economic dynamics. There are four dimensions of smallholder resilience, namely, the ability of adaptation, recoverability, anticipation, and farmers’ innovation level. Social disruption was indicated by farmers’ demography, epidemic/family health, social conflict, culture clash, and intention on land conversion. Meanwhile, environmental disruption was shown by natural catastrophe incidents, climate variations, environmentally unfriendly cultivation activities, and land fires. Since the resilience level was classified as binary, bivariate probit model was used in the analysis. The result shows that smallholder plantations in Bengkulu Indonesia are categorized as innovative, and recoverable, but less adaptive, and less anticipatory farmers. Overall, more than 50% of smallholder plantations are classified as less resilient smallholders. The statistical result empirically uncovers that the intentions of land conversion, climate change, and environmentally unfriendly farming activities statistically have a significant contribution to the reduction of smallholder plantations’ resilience. Furthermore, the economic dynamisms such as lack of input availability, price volatility, demand uncertainty, and capital limitation have a significant negative impact on smallholder plantation resilience.

This study seeks to examine consumer intention to re-consume organic food in Indonesia from a psychological standpoint using the Theory of Planned Behavior (TPB). In this study, new constructs were included, namely perceived sensory appeal, egoistic motive, and warm glow. Responses were collected from 337 consumers through online surveys and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The results of the analysis show that the TPB constructs partially support the intention to re-consume organic food, as well as the attitudes and subjective norms. The outcomes added that the new construct in TPB is known to be able to increase the predictive power of the proposed framework and shows the importance of perceived sensory appeal, egoistic motive, and warm glow in the estimation of sustainable organic food consumption.